Search
Home Blog Page 25

Xoople Announces $130M Series B to Build Earth’s System of Record for the Agentic Era

By
Business Wire
-
0
Xoople Announces $130M Series B to Build Earth’s System of Record for the Agentic Era

Xoople Logo

Xoople, the data infrastructure company building a global system of record for physical change on Earth, announced it has closed a $130M Series B, bringing its total raised to $225M, from investors including Nazca Capital, MCH, CDTI (Government of Spain), Buenavista Equity Partners and Endeavor Catalyst. This capital makes Xoople the top funded company in the category, with satellites capable of producing the most precise, reliable, scientific-grade data sets that will expand enterprise access to physical-world intelligence to power the AI and agentic revolutions as it starts commercialization this quarter after seven years in development.

“Every major computing era creates a new system of record; those that define that system become the economic centers of that era,” said Fabrizio Pirondini, CEO of Xoople. “CRMs gave companies a system of record for customers. Cloud platforms create systems of record for software and data. We are building the system of record for the physical world in the AI era with Xoople. After seven years developing our system in stealth, we are incredibly excited to begin commercialization in Q2 and start scaling up that capability in the market.”

Marketing Technology News: MarTech Interview With Fredrik Skantze, CEO and Co-founder of Funnel

As AI systems increasingly move from analysis to autonomous action through agentic workflows, the need for and ability to easily ingest reliable ground-truth data about the physical world is expected to grow rapidly – optimizing supply chains, managing infrastructure, underwriting risk, responding to disasters, and monitoring geopolitical and security risks. As models become increasingly commoditized, proprietary datasets that connect digital systems to the physical world are emerging as a critical source of advantage. Xoople calls this infrastructure and data layer the “Earth’s System of Record,” and the company expects that it will be transformational in providing AI with a real-time understanding of the physical world.

Marketing Technology News: The Death of Third-Party Cookies Was Just the Start. Are You Ready for Consent Orchestration?

Since its creation in 2019, Xoople has worked in stealth mode, building its end-to-end system while forging global strategic partnerships to integrate its Earth data layer directly into existing business tools, to allow organizations to seamlessly analyze and act on real-world information.

Xoople’s private preview customers include government agencies and Fortune 500 companies who use the intelligence to enable:

  • Supply chain optimization and infrastructure monitoring
  • Agricultural forecasting and resource planning
  • Insurance risk modeling and disaster response
  • Urban planning and infrastructure resilience
  • Scenario planning and forecasting

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Five9 Appoints Jay Lee as Chief Marketing and Growth Officer

By
Business Wire
-
0
Five9 Appoints Jay Lee as Chief Marketing and Growth Officer

Five9, Inc. Logo

Experienced GTM and analytics leader to unify marketing, data, and revenue strategy to accelerate AI-driven CX innovation

Five9, Inc. (“Five9”), provider of the Intelligent CX Platform, announced the appointment of Jay Lee as Chief Marketing and Growth Officer, effective April 6, 2026. This new role unites global marketing with revenue strategy and operations to create a more powerfully aligned go-to-market (GTM) engine for a cohesive, insights-driven, and streamlined experience for customers and partners at every stage of their journey with Five9.

Lee brings extensive experience driving business transformation, growth, and measurable financial outcomes across enterprise technology and payments industries. His appointment reflects Five9’s continued investment in integrating marketing, operations, data, and analytics to accelerate innovation and deliver more personalized, intelligent customer experiences.

Marketing Technology News: MarTech Interview With Fredrik Skantze, CEO and Co-founder of Funnel

“Jay’s appointment comes at a defining moment for Five9 as we continue to accelerate our leadership in AI-powered customer experience,” said Amit Mathradas, CEO, Five9. “His ability to connect sales and customer-facing teams with underlying data and analytics to influence how we market is exactly what companies need in this next era of CX. Jay brings a rare combination of strategic marketing vision, creativity, and operational rigor, with a deep understanding of how to translate customer insight into meaningful business outcomes. As we advance our CX vision, where human expertise and AI work seamlessly together, Jay will be instrumental in helping our customers unlock greater value from their customer experience investments.”

“I’m thrilled to join Five9 at such a pivotal moment,” said Jay Lee, Chief Marketing and Growth Officer, Five9. “Customer experience, data, and commerce are converging faster than ever, and Five9 is uniquely positioned to lead that transformation. I look forward to working with the team to strengthen our brand further, deepen customer relationships, and drive measurable business impact through innovative, data-driven marketing and GTM strategies.”

Marketing Technology News: The Death of Third-Party Cookies Was Just the Start. Are You Ready for Consent Orchestration?

Lee joins Five9 from Icertis, where he served as Chief Marketing Officer, leading a global marketing and sales development organization driving brand, demand generation, and GTM planning and execution. Prior to Icertis, he served as Chief Marketing Officer at Avalara, where he led global demand generation and communications strategies to support commercial growth across markets and customer segments. Earlier in his career, Lee held senior leadership roles across B2B and B2C organizations, including GE Capital, American Express, and PayPal. His background across consulting, finance, marketing, and enterprise technology has shaped a disciplined, data-first approach to go-to-market strategy, with deep expertise in revenue operations and execution.

Lee is known for his collaborative leadership style, emphasizing idea generation, thoughtful problem-solving, and mentorship to help teams build durable, real-world skills across strategy, storytelling, and execution. He holds an MBA from Columbia University and a Bachelor of Science in Electrical Engineering from Cornell University.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

New Study Finds Alert Fatigue Has Become a Production Reliability Risk and Incident Response Alone Is No Longer Enough

By
Business Wire
-
0
New Study Finds Alert Fatigue Has Become a Production Reliability Risk and Incident Response Alone Is No Longer Enough

Engineers spend 40% of their time firefighting while outages are discovered by customers before monitoring tools catch them

Modern production environments have outpaced the incident management practices built to support them, and the deficiency is now producing measurable failures. A new study released by NeuBird AI finds that nearly half of organizations (44%) experienced an outage in the past year directly linked to suppressed or ignored alerts, and a vast majority (78%) experienced at least one incident where no alert fired at all, leaving engineers to discover failures only after customers were already affected. Meanwhile, 74% of executives say their organizations are actively using AI to address these problems, compared to just 39% of engineers. The 2026 State of Production Reliability and AI Adoption Report, based on a survey of 1,039 SRE, DevOps and IT operations professionals conducted in February 2026, documents an industry at an inflection point: reactive, alert-driven incident response is no longer sufficient for the scale and complexity of modern production environments, and the path forward requires autonomous systems that can prevent, resolve and optimize operations end to end.

“This data highlights a gap in how tools support modern production environments,” said Gou Rao, CEO and co-founder of NeuBird AI. “As systems grow more complex, alert-driven approaches alone can’t keep pace. Teams need AI that works alongside them to identify risks before they surface, resolve incidents faster and continuously improve operations so reliability scales with the business.”

Incident Management Is Consuming Engineering Capacity and Driving Up Costs

According to the 2026 State of Production Reliability and AI Adoption Report, the majority of engineering teams spend 40% or more of their time on incident management rather than product development and innovation.

The overhead compounds quickly.

  • When a business-impacting incident strikes, almost all (93%) of organizations pull in three or more engineers to resolve it and nearly 40% involve six to ten people.
  • Thirty-six percent of teams spend five to ten hours every week on incident reports and post-mortems alone.
  • With 83% of teams navigating four or more tools during a live incident, every context switch adds time to an already costly response.

The financial exposure of infrastructure downtime is significant.

  • Sixty-one percent of organizations estimate infrastructure downtime costs at least $50,000 per hour, and 34% put that figure at $100,000 or more.
  • Almost 60% of organizations report their mean time to resolve a critical incident is between 30 minutes and two hours.
  • With almost 90% of companies handling up to 50 incidents per month, the cumulative cost of downtime is a material business risk.

Burnout is also a direct downstream consequence. Nearly 40% of organizations report that more than a quarter of their on-call engineers show burnout symptoms related to incident management.

“The math is stark. At a median downtime cost between $50,000 and $100,000 per hour, a one-to-two-hour resolution window for a critical incident represents $50,000 to $200,000 in direct exposure per event, not counting the engineering hours that disappear into diagnosis, root cause analysis and post-mortems,” continued Rao. “MTTR is the number one KPI organizations track for incident response, which reflects how central resolution speed is to operational performance, yet most organizations are still resolving incidents the same way they were five years ago.”

Marketing Technology News: MarTech Interview With Fredrik Skantze, CEO and Co-founder of Funnel

Alert Fatigue Has Crossed from Morale Problem to Reliability Risk

When asked to identify their challenges, respondents ranked alert fatigue and noise at the top, followed by insufficient automation, knowledge silos and documentation gaps, difficulty identifying root causes and integration challenges between tools.

  • Seventy-seven percent of on-call teams receive at least ten alerts per day, and 57% report that fewer than 30% of those alerts are actionable.
  • Engineers have adapted accordingly, with 83% ignoring or dismissing alerts at least occasionally.

Taken together, these findings describe an environment in which reactive, manual incident management has become the default, leaving little capacity for the preventive work, capacity planning and reliability improvements that would reduce incident volume over time.

Executives and Practitioners Report Sharply Different Realities on AI Deployment in Incident Management

When it comes to AI in incident management, executives and practitioners are living in two different realities. A majority (74%) of C-suite respondents say their organization actively uses AI for incident management, while only 39% of practitioners say the same. Executives report what has been purchased or decided; practitioners report what is running in the environments where they work.

Marketing Technology News: The Death of Third-Party Cookies Was Just the Start. Are You Ready for Consent Orchestration?

The divide in perceived impact of AI is equally pronounced.

  • C-suite respondents overall were nearly three times as likely as practitioners to say AI has significantly reduced operational toil (35% vs. 12%).
  • Among practitioners who do use AI tools, 28% said the impact on their workload has been less than 10%.
  • Practitioners aren’t skeptical of AI; more than half say they’re actively evaluating AI solutions. They are more realistic about what’s been deployed, not what’s been purchased or decided.

Among organizations that have deployed AI in incident management, automated root cause analysis is the leading use case, followed by anomaly detection and prediction and alert correlation and noise reduction. Budget constraints were cited as the top barrier to AI adoption, followed closely by concerns about AI increasing system complexity and security and compliance concerns.

Today, the company also announced $19.3 million in new funding, led by Xora Innovation, and the launch of its autonomous production operations agent, bringing continuous predictive intelligence across cloud, on-premises and hybrid systems. With NeuBird AI Falcon, NeuBird AI’s next-generation engine, platform, DevOps and SRE teams can now prevent issues before they impact services, resolve incidents in minutes and continuously optimize operations.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Ridge AI Emerges from Stealth with $2.6M Pre-Seed for AI-Native Analytics That Prove a Product Team’s Value in Hours

By
Business Wire
-
0
Ridge AI Emerges from Stealth with $2.6M Pre-Seed for AI-Native Analytics That Prove a Product Team's Value in Hours

Ridge AI Logo

Ridge AI announced its emergence from stealth and a $2.6 million pre-seed funding round led by Madrona, with participation from TheFounderVC and a group of angels that includes founding leaders from Tableau, Trifacta, and Streamlit. Built on decades of data visualization research and open-source technology, the company enables B2B software companies to ship interactive, customer-facing dashboards and AI data agents in hours — not months.

The company was founded by CEO Ellie Fields and Chief Scientist Jeff Heer. Fields spent more than a decade at Tableau before serving as Chief Product and Engineering Officer at Salesloft, where she experienced firsthand the problem Ridge is now solving. Demonstrating value to customers is a constant pressure for product leaders. It’s one that existing tools couldn’t meet and custom-built solutions addressed only by diverting months of engineering from core development priorities. Existing tools are slow to implement, costly to maintain, and still leave customers unable to answer their most important questions. Fields and Heer co-founded Ridge to fix that.

“In my career as a product leader I routinely experienced the problem where our team was creating real value for customers and had no good way to prove it,” said Ellie Fields, CEO and Co-Founder of Ridge AI. “We would spend months building dashboards instead of focusing on what made us different. That’s a terrible trade-off, and it’s exactly what Ridge eliminates.”

Heer is a Professor of Computer Science at the University of Washington, co-director of the UW Interactive Data Lab, and helped create D3.js, Vega, and Mosaic — tools that underpin data visualization across the modern web. He previously co-founded Trifacta, which was acquired by Alteryx in 2022. His most recent research produced Mosaic, an open-source framework for building highly interactive, browser-native analytics using DuckDB and WebAssembly. It is the technical foundation on which Ridge is built.

Marketing Technology News: MarTech Interview With Fredrik Skantze, CEO and Co-founder of Funnel

That architecture is what makes Ridge categorically different from legacy embedded analytics tools. By processing data natively in the browser rather than on a server, Ridge delivers sub-second interactivity on datasets with millions of rows — without requiring cloud infrastructure that the software company has to pay for with every query. When a customer opens a Ridge-powered dashboard embedded in their SaaS product, they can ask follow-up questions in natural language and get immediate answers from Ridge’s AI data agent. What previously required months of engineering time to build, embed, maintain, and update can now go live in hours.

“I’ve had the pleasure of working with Ellie and partnering with Jeff for years now,” said Mark Nelson, Venture Partner, Madrona, and former CEO, Tableau and CTO, Concur. “I experienced the problem that Ridge is solving personally at Concur. Providing rich insights for customers into their data inside of our system was critical, but not our expertise or the unique focus of our products. Having then been part of Tableau, I can appreciate the specific focus and capabilities that need to be delivered to provide great data insights for users. Ridge is the first solution I’ve seen that brings this power to software providers in the form of both great visualizations and AI agents for users to interact with.”

Marketing Technology News: The Death of Third-Party Cookies Was Just the Start. Are You Ready for Consent Orchestration?

The convergence of three technologies made this moment possible: large language models capable of reasoning over data, WebAssembly enabling near-native compute performance in the browser, and the Mosaic framework providing the visualization and interactivity layer to tie it together. That combination didn’t exist two years ago. Ridge was built specifically for it.

“This is what I would have wanted to see built for data in the age of AI.” — Chris Stolte, Co-Founder, Tableau

The angel round includes founding and senior leaders from Tableau, Trifacta, and Streamlit, representing some of the deepest institutional knowledge in data analytics and visualization.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Metazoa Announces Updates to Snapshot on Salesforce AppExchange

By
Business Wire
-
0
Infometry Launches INFOFISCUS Conversa for macOS to Interact with Enterprise AI Analytics Using Natural Language

Metazoa LogoNew AI capability helps teams analyze org metadata context and take action to manage complex CRM environments

Metazoa announced a new Intelligent Assistant for its Snapshot platform on Salesforce AppExchange, the leading enterprise marketplace for partner apps and experts. The new capability helps organizations running Salesforce to analyze metadata context, diagnose issues, and take action to manage complex CRM environments.

Metazoa launches the Intelligent Assistant for Salesforce. AI that takes action on org complexity. Find Anything. Fix Everything.

The Metazoa Intelligent Assistant helps teams investigate metadata relationships, understand system complexity, and take action to modernize environments that support AI-driven applications and automation.

Marketing Technology News: MarTech Interview With Fredrik Skantze, CEO and Co-founder of Funnel

Metazoa Snapshot helps organizations analyze metadata, reduce technical debt, improve security, document complex environments, and execute large-scale transformation initiatives such as cleanup, optimization, org cloning, splits, and merges.

Metazoa Snapshot is currently available on AppExchange.

Metazoa Intelligent Assistant

The Metazoa Intelligent Assistant operates directly within the Snapshot platform and assists teams as they investigate issues, understand metadata relationships, and execute remediation tasks. The assistant understands the current screen context and helps users navigate reports, analyze metadata, and initiate actions.

Marketing Technology News: The Death of Third-Party Cookies Was Just the Start. Are You Ready for Consent Orchestration?

The assistant can help teams:

  • Analyze metadata and org structure
  • Launch and navigate Snapshot reports
  • Identify technical debt and unused assets
  • Evaluate validation rules, permission sets, and Apex classes
  • Explain deployment errors and configuration issues
  • Generate documentation and architecture insights
  • Recommend and initiate remediation steps

Comments on the News

“Many AI tools today can describe issues but do not assist teams in resolving them,” said Bill Appleton, CTO of Metazoa. “The Metazoa Intelligent Assistant is designed to understand the structure of an org and help teams move from analysis to action directly within Snapshot.”

“Organizations using Salesforce will benefit from tools that understand the structure of their environments and help them take action safely,” said Jennifer Mercer, CEO of Metazoa. “The Intelligent Assistant helps teams investigate issues, launch analysis, and execute remediation steps inside the platform.”

Salesforce AppExchange, a leading enterprise marketplace for partner apps and experts, empowers companies, developers and entrepreneurs to build, market and grow in entirely new ways. Since its launch in 2006, the platform has grown to include more than 9,000 apps and experts, with over 14 million customer installs. AppExchange connects customers of all sizes and across industries to ready-to-install or customizable apps and Salesforce-certified consultants to solve any business challenge.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

GMB Management Software for Multi Location Business

By
Globe Newswire
-
0
GMB Management Software for Multi Location Business

GBPPromote, a fast-growing Google Business Profile (GBP) management software, is gaining strong traction among agencies, franchises, enterprises, and individual businesses looking for a simpler and more scalable way to manage their local presence on Google.

Adopted widely by franchises, agencies, and enterprise teams for multi-location GMB management, the platform is built to handle the kind of operational work that usually takes hours — from updating multiple listings and managing reviews to posting content and tracking performance — all of which can now be done in minutes through a centralized system.

Following its launch, GBPPromote attracted over 1,000 users within its first month and has now grown to 2,500+ users, with a significant portion coming from agencies managing multiple client locations.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

This growth reflects a clear shift in how businesses approach local SEO. Instead of juggling separate tools for rankings, reviews, posting, and reporting, teams are moving toward a single platform that brings everything together.

GBPPromote is built around that exact need.

One Platform to Manage, Optimize, and Scale Your Google Business Profiles

GBPPromote is built to simplify how businesses handle their Google presence — whether it’s a single location or thousands. With a centralized dashboard, everything is managed from one place, making day-to-day operations faster, more organized, and easier to scale.

What you can do with GBPPromote:

  • Manage 1 to 10,000+ locations from a single dashboard
  • Update business details, services, and information across locations in minutes
  • Handle reviews management with AI-powered responses, templates, and instant alerts
  • Track performance and visibility without switching between tools
  • Optimize listings using built-in GMB optimization tools
  • Monitor rankings with an integrated local rank tracker
  • Schedule posts and keep all listings active consistently

All of this comes together in one system — combining the power of a Google My Business management tool, local SEO software, review management software, and a complete GMB management platform.

Reviews and Reputation — Structured, Automated, and Scalable

Managing reviews across multiple locations can quickly become overwhelming. GBPPromote simplifies this by turning review handling into a fast, organized, and automated process and is going towards being the best reviews management software

What you can do with GBPPromote:

  • Respond to reviews faster with AI-powered suggestions
  • Automate replies while keeping responses natural and consistent
  • Use custom templates to maintain brand tone across locations
  • Get instant alerts so no review is missed
  • Understand customer feedback with built-in sentiment analysis
  • Generate more reviews using Magic QR codes
  • Manage reviews across all locations from one dashboard

All of this makes GBPPromote a reliable GMB review response tool and a complete review management software for agencies, franchises, and growing businesses.

Multi-Location Management Without the Usual Complexity

Managing multiple listings across cities or branches can quickly become messy and time-consuming. GBPPromote simplifies this with centralized control, bulk actions, and clear visibility across all locations.

What you can do with GBPPromote:

  • Manage all locations from one centralized dashboard
  • Perform bulk updates across multiple listings in minutes
  • Edit business details, services, and information at scale
  • View individual location analytics for deeper insights
  • Compare performance using location comparison tools
  • Maintain brand consistency across all branches
  • Monitor overall performance with a unified overview

This makes it easy for agencies, franchises, and enterprises to manage both individual location performance and overall growth without switching between systems.

Content, Posting, and Media — All in One Workflow

Keeping Google Business Profiles active is essential for visibility, but doing it consistently across multiple locations can be difficult without the right system. GBPPromote brings everything into one place, making content management simple and scalable.

What you can do with GBPPromote:

  • Plan and publish content using a built-in GMB post scheduler
  • Schedule posts across multiple locations at once
  • Manage images and videos with a centralized media library
  • Maintain consistent branding across all locations
  • Reduce manual work with automated posting workflows
  • Keep listings active and engaging regularly

Optimization and Competitive Insights That Drive Growth

Beyond day-to-day management, GBPPromote helps businesses actively improve their visibility and performance on Google.

What you can do with GBPPromote:

  • Optimize categories, services, and attributes with a GMB optimization tool
  • Improve listing quality and completeness across locations
  • Analyze competitors to understand gaps and opportunities
  • Use performance insights to guide optimization decisions
  • Continuously improve visibility in local search results

Built-In Local Rank Tracking and Audit Capabilities

Understanding where your business ranks is key to growth. GBPPromote includes a built-in system to track and improve your local visibility.

What you can do with GBPPromote:

  • Monitor rankings with an integrated local rank tracker
  • Track visibility across different areas on Google Maps
  • Compare rankings over time with historical data
  • Identify opportunities to improve local performance
  • Run audits and generate GMB audit reports for agencies
  • Evaluate listing health and optimization gaps

Local SEO Reporting Tool That Works for Teams and Clients

Clear reporting makes it easier to track progress and communicate results. GBPPromote simplifies this for both internal teams and agencies.

What you can do with GBPPromote:

  • Access detailed GBP analytics across locations
  • Generate automated reports without manual effort
  • Share insights using custom shareable links
  • Export professional white label reports for clients
  • Track performance, growth, and key metrics in one place

Built for How Businesses Actually Work Today

Modern teams don’t want multiple tools for rankings, reviews, posting, and reporting. GBPPromote is designed to bring everything into one system — whether you’re an agency, franchise, or enterprise managing multiple locations.

Who it’s built for:

  • Agencies managing multiple client locations
  • Franchises maintaining consistency across branches
  • Enterprises handling large-scale location networks

What you can do with GBPPromote:

  • Manage everything using a complete GMB management tool
  • Perform bulk updates across multiple locations in minutes
  • Improve visibility with built-in local SEO software
  • Track rankings using an integrated local rank tracker
  • Optimize listings with a powerful GMB optimization tool
  • Schedule content using a GMB post scheduler
  • Handle reviews with a GMB review response tool
  • Generate reports to track MoM and YoY growth
  • Analyze competitors using a built-in competitor analysis tool
  • Compare performance across locations and identify gaps
  • Manage all operations from one centralized workflow

This unified approach reduces manual work, keeps everything consistent, and helps teams focus more on growth instead of daily operations.

Looking Ahead

With continued feature development, including deeper competitor insights and advanced optimization workflows, GBPPromote is evolving into a complete ecosystem for managing local visibility, reputation, and performance on Google.

As businesses increasingly look for integrated solutions instead of standalone tools, platforms like GBPPromote are becoming central to how modern local SEO is managed at scale.

Frequently Asked Questions

What is the best GMB management software for agencies?

The best GMB management software for agencies is one that allows you to manage multiple client locations from a single dashboard, automate review responses, schedule posts, track rankings, and generate white-label reports. Platforms like GBPPromote are designed specifically for agencies handling multiple Google Business Profiles at scale.

Which is the best local rank tracker for Google Maps?

A good local rank tracker should show how your business ranks across different areas, not just one location. Tools like GBPPromote offer grid-based tracking, historical comparisons, and built-in insights, making it easier to understand and improve your Google Maps visibility without needing separate software.

Is there a free local rank checker available?

Yes, some platforms offer a free local rank checker with limited credits or features. GBPPromote introduced its free local rank tracking tool in early 2025, allowing businesses to monitor rankings and test performance before scaling.

What does a GMB optimization tool actually do?

A GMB optimization tool helps improve your Google Business Profile by managing categories, services, attributes, content, and activity. It ensures your listing stays updated, relevant, and competitive, which directly impacts visibility on Google Maps and local search results.

How does a GMB post scheduler help with local SEO?

Consistent posting signals activity to Google. A GMB post scheduler allows businesses to plan and publish updates across multiple locations without manual effort, helping keep listings active and improving engagement over time.

What is the best review management software for Google reviews?

The best review management software allows you to respond quickly, automate replies, analyze sentiment, and track feedback trends. Tools like GBPPromote also include features like AI-powered responses, templates, and review alerts, making it easier to manage reputation at scale.

Can I manage multiple locations from one dashboard?

Yes, modern GMB management tools like GBPPromote are built to manage anywhere from a single location to thousands. You can update business information, track performance, and manage reviews across all locations from one centralized dashboard.

Do I need separate tools for rank tracking, reviews, and posting?

Not anymore. Many businesses are moving toward all-in-one platforms that combine local rank tracking, review management, posting, optimization, and reporting into a single system, reducing complexity and saving time.

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Kustomer Launches “Kustomer AI – Signals” to Turn Customer Intelligence Into Real-Time Action Across the CX Stack

By
Globe Newswire
-
0
Kustomer Launches “Kustomer AI - Signals” to Turn Customer Intelligence Into Real-Time Action Across the CX Stack

Kustomer Logo

“Kustomer AI – Signals” surfaces real-time customer context, sentiment, and escalation risk directly to reps and managers before they engage, closing the gap between CX visibility and action. Available now natively in the Kustomer platform and on Zendesk

Kustomer, the AI customer experience platform, unveiled “Kustomer AI – Signals”, a new AI capability within AI for Reps that extends Kustomer’s platform to deliver proactive, real-time customer intelligence to support human reps the moment a conversation begins. Signals analyzes customer behavior, conversation history, and sentiment to surface what matters most before a rep ever types a response, turning raw data into immediate, actionable context.

Signals is also available through Kustomer’s standalone AI offering, extending proactive intelligence to teams on other platforms, including Zendesk, a reflection of Kustomer’s broader strategy to bring its AI capabilities to the wider CX market.

With Signals, Kustomer is the first CX platform to close the loop between intelligence and execution in the moments that matter most.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

“CX teams don’t need more data, they need the right context at the right moment,” said Brad Birnbaum, CEO and co-founder of Kustomer. “Kustomer AI – Signals turns intelligence into action directly inside the workflow, so teams can respond faster and more effectively.”

-Brad Birnbaum, CEO and Co-Founder of Kustomer.

The Problem: Visibility Without Execution
Most support teams are not short on data. Dashboards, timelines, and reporting tools capture nearly every customer interaction. Even with the rise of AI in CX, many systems still require reps to interpret fragmented data manually, limiting the effectiveness of automation. Yet when a frustrated customer, a handle time spike, or a potential escalation demands immediate attention, pulling together the right context is still a manual, time-consuming process.

Reps read through long conversation histories before responding. Managers step into escalations without full context. Leaders bounce between tools just to understand what happened and why. CX teams can see what is happening, but translating that visibility into clear, confident action is where things break down. The result is slower responses, inconsistent experiences, and coaching that is reactive rather than targeted.

The Solution: Intelligence in the Moment
Signals changes that by doing the analysis before the rep has to. As a conversation opens, Signals evaluates the customer’s full history, recent interactions, purchase behavior, and sentiment, then surfaces a prioritized, plain-language summary of what matters most. Customer frustration, escalation risk, repeat issues, and relevant context appear immediately, without any manual lookup required.

Because Signals is built natively into the Kustomer platform, it draws on the same unified data model that powers the rest of the Kustomer workspace. There is no separate tool to configure, no integration to maintain, and no data to export. Signals shifts CX from reactive support to proactive intelligence, surfacing what matters before a response is even drafted. The intelligence is simply there, in context, where work happens.

“Proactive intelligence only works when AI, data, and workflows are unified,” said Jeremy Suriel, Chief Technology Officer at Kustomer. “Kustomer AI – Signals is possible because of how Kustomer is architected. When customer data, conversation history, and AI live in the same unified model, you can do things that bolted-on tools simply cannot. We are not pulling from an export or syncing with a third-party system. We are reading live signals from the platform itself and surfacing them in real time. That is the technical foundation that makes proactive intelligence actually work at scale.”

-Jeremy Suriel, CTO and Co-Founder of Kustomer

Key Capabilities

  • Real-time sentiment analysis: Detects frustration, urgency, and tone shifts as conversations unfold, giving reps immediate awareness of a customer’s emotional state before they respond.
  • Escalation risk: Identifies customers with a high likelihood of escalation based on behavioral patterns, history, and current sentiment, so managers can intervene before issues compound.
  • Unified customer context summary: Surfaces purchase history, customer value, recent interactions, and open issues in a prioritized view, eliminating the need for reps to manually piece together background before engaging.
  • Repeat issue detection: Identifies when a customer is contacting support about the same issue for the second or third time, enabling reps to acknowledge the pattern and accelerate resolution.
  • Seamless handoff intelligence: Provides incoming reps and managers with the same context during transfers and escalations, so customers never have to repeat themselves.

With Kustomer AI – Signals, CX leaders can:

  • Reduce handle time by eliminating the manual context-gathering that slows reps down before every response.
  • Intervene on escalations earlier by giving managers visibility into at-risk conversations before they fully escalate.
  • Improve coaching quality by identifying specific rep-customer interactions where real-time context was available but outcomes fell short.
  • Deliver more personal service by equipping reps with customer history and sentiment context that enables genuine rapport from the first message.
  • Unify escalation context by ensuring every manager and rep who handles a conversation starts with the same complete picture.

Customer Story: Gametime
Gametime, a popular platform for purchasing last-minute tickets to sports, concerts and theater events, uses Signals as part of its AI for Reps deployment to give support agents immediate visibility into each customer’s history and context before they engage.

“Kustomer AI – Signals is really valuable because it’s proactive. It surfaces customer history and key details without agents having to go look for it. Things like purchase history, how long they’ve been a customer, recent conversations, and sentiment all help reps build rapport and personalize how they respond.”

-Joseph Winalski, Director of Service Strategy and Design, Gametime

Availability
Kustomer AI – Signals is generally available today for all Kustomer customers using AI for Reps. No separate implementation is required. Existing customers can enable it in their settings page. Zendesk users can try Kustomer AI – Signals without having to do a platform migration.

Kustomer is the Intelligent Customer Experience Platform empowering brands to put customers at the center of every interaction. By unifying customer data, conversations, and AI-powered workflows into one seamless workspace, teams deliver service that delights, retains, and drives growth. With Kustomer, support becomes faster, smarter, and more personal, so every customer feels like your most important one. Leading brands use Kustomer to power omnichannel support, intelligent routing, AI assistants, and proactive customer intelligence through Signals.

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

TC Transcontinental Acquires PDI Group to Accelerate Growth of its In-Store Marketing Activities

By
Globe Newswire
-
0
TC Transcontinental Acquires PDI Group to Accelerate Growth of its In-Store Marketing Activities

transcontinental.png

Transcontinental Inc. (TSX: TCL.A TCL.B) announces the acquisition of Phipps Dickson Integria Group Inc. (“PDI Group” or “PDI”), a company based in Kirkland and Laval, Quebec, which provides production services for large-format signage and displays, commercial printing, as well as specialized distribution (Harling Marketing).

PDI employs 180 people and boasts state-of-the-art production facilities, which will extend TC Transcontinental’s capabilities in Quebec. This transaction follows the acquisitions of Middleton Group in June of last year, and Intergraphics and Mirazed in August.

“The PDI acquisition reflects our targeted growth strategy aimed at making TC Transcontinental a partner of choice for In-Store Marketing in Canada,” said Sam Bendavid, Chief Executive Officer-designate of TC Transcontinental. “It strengthens our ability to offer our customers integrated solutions across the country, from design through to production and distribution. Having now acquired four businesses in less than a year, we are demonstrating our ability to identify, integrate and optimize quality businesses that align with our vision.”

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

“PDI brings recognized expertise and complementary capabilities that will enhance our offering, expand our customer portfolio and accelerate our growth in Quebec within In-Store Marketing, a high-demand segment,” said Patrick Brayley, Chief Operating Officer-designate of TC Transcontinental. “We are delighted to welcome the PDI teams and to continue building a leading platform in Canada.”

“This acquisition strengthens the company’s long-term stability and establishes a strong foundation for continued investment in our people, operations, and innovation,” noted PDI Group CEO Gaetano DiTrapan, President Jamie Barbieri and Harling Marketing President Randy Yates. “The added scale and resources are expected to support a stable operating environment and create opportunities for our teams as the business evolves, while maintaining a continued focus on delivering value to our clients.”

Including these recent acquisitions, TC Transcontinental’s In-Store Marketing activities generate annualized revenues of close to $300 million and employ approximately 1,500 people.

Founded 50 years ago and close to 4,500 employees strong, Transcontinental Inc. (TSX: TCL.A TCL.B), known under the TC Transcontinental brand, is a Canadian retail marketing services company, Canada’s largest printer, and the Canadian leader in French-language educational publishing. Driven by the vision of a more informed, educated and prosperous society, TC Transcontinental propels its clients’ success across the retail, education, book and information industries. With agility, creativity and boldness, we design and deliver innovative, high-value products and services.

The Corporation’s revenues from continuing operations were $1.1 billion for the fiscal year ended October 26, 2025. Until the sale of its Packaging Sector to ProAmpac, which was completed on March 6, 2026, the Corporation was also a North American leader in flexible packaging with approximately 3,600 employees, and revenues from the Corporation’s discontinued operations were $1.6 billion for the fiscal year ended October 26, 2025.

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

MediaAlpha Launches the Insurance Industry’s First Carrier-Approved Conversational AI Application for Carriers and Consumers

By
Globe Newswire
-
0
MediaAlpha Launches the Insurance Industry's First Carrier-Approved Conversational AI Application for Carriers and Consumers

New ChatGPT-powered app delivers a transparent, carrier-approved shopping experience — connecting consumers with insurers who are ready to quote

MediaAlpha, the leading customer acquisition infrastructure for insurance carriers, announced the launch of the first carrier-approved conversational AI application powered by ChatGPT technology for auto insurance shopping. Built on MediaAlpha’s trusted programmatic marketplace, the app modernizes how consumers find and connect with auto insurance carriers, while meeting the compliance, accuracy, and brand standards that carriers require.

“Conversational AI is changing how consumers research and shop for insurance, and our industry has a responsibility to get this right,” said Steve Yi, MediaAlpha Co-Founder and CEO. “Our app using ChatGPT technology is built on the programmatic infrastructure that carriers already trust, which means every result is a real carrier partner, every click goes directly to the carrier’s own site, and consumers get accurate information at every step. That’s the standard we think the industry should be held to.”

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

How It Works

The MediaAlpha app guides consumers through a structured conversation, collecting key details like zip code, vehicle information, homeownership status, age, and credit profile. Then, unlike other AI-powered shopping experiences, the app surfaces real-time, carrier-approved listings from MediaAlpha’s live marketplace.

When a consumer selects a carrier, they go directly to that carrier’s official website to complete their quote and purchase, enabling them to secure a policy that fits their needs in just minutes.

Publishers looking to bring similar experiences to their audiences can do so through MediaAlpha’s platform, with carrier compliance, brand standards, and marketplace infrastructure already in place.

Built Around What Carriers and Consumers Actually Need

Compliance by design

Every listing displayed in the app is drawn from MediaAlpha’s existing, carrier-approved marketplace. Carrier logos and messaging appear exclusively in pre-approved formats, the same ones already trusted across MediaAlpha’s premium publisher network. There are no unauthorized representations, no carrier compliance surprises, and no ambiguity about what a consumer is seeing or why.

Accurate consumer expectations

Because consumers are sent directly to the carrier’s own website for their final quote, they receive pricing directly from the source, reflecting their actual profile and coverage needs. The experience is transparent from the first interaction to the final purchase decision.

A new high-intent traffic channel, fully integrated

The app functions as a seamless extension of MediaAlpha’s existing marketplace. Carrier partners participate using the same platform and workflows they already use — with no new integration required.

MediaAlpha’s application powered by OpenAI’s ChatGPT is available now — enable it by searching for the autoinsurance.net app.

We believe we are the insurance industry’s leading programmatic customer acquisition platform. With more than 1,150 active partners, in addition to our agent partners, we connect insurance carriers with online shoppers and generated over 141 million Consumer Referrals in 2025. Our programmatic advertising technology powered $2.2 billion in spend in 2025 on brand, comparison, and metasearch sites across property & casualty insurance, health insurance, life insurance, and other industries.

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Durable Launches Discoverability: A Built-In Visibility Tool That Helps Small Businesses Get Found on Google and AI Search

By
Globe Newswire
-
0
Syntax Launches AI-First Application Managed Services for SAP Solutions

Durable Logo

New Discoverability feature brings generative engine optimization (GEO) to millions of small business owners as AI-powered search reshapes how customers find local services

Durable, the AI business builder, announced the launch of Discoverability — a new feature that helps small businesses get found where customers search, which is increasingly on AI platforms like ChatGPT, Gemini, Grok and Perplexity.

“Getting found online has never been harder,” James Clift, Durable founder, says. “Customers are now increasingly searching on AI tools like ChatGPT. And most businesses have no idea how they’re showing up across all of the biggest LLM models. We built Discoverability to bring it all into one place, so owners have a clear picture of their visibility and can actually do something about it.”

Small businesses have always competed on visibility. A decade ago, the challenge was getting on Google. Today, Generative Engine Optimization (GEO) represents the biggest challenge in local business visibility. More than 50% of consumers are now searching AI models for recommendations for everything from local restaurants to local plumbers, and being able to optimize your brand to show up in these models has thus far been reserved for large enterprise marketing teams. Discoverability gives every new entrepreneur a powerful GEO tool that is built right into Durable — an AI native platform that controls everything in your business from your website to your invoices.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

This new feature provides one single dashboard showing you exactly how your business is showing up across all five major AI platforms — ChatGPT, Gemini, Grok and Perplexity. AI search is the headline,  but Discoverability addresses the full spectrum of how customers find businesses today:

  • Visibility Score — A single measure of how findable a business is across all online channels, with guided suggestions to improve it over time.
  • Directory Listings — Identifies the 10+ highest-impact directories for a business’s category and location (think Yelp, Yellowpages, and other online niches), and flags inconsistencies in business name, address, and phone number across platforms.
  • AI Visibility Rankings — Shows whether a business is appearing when customers ask ChatGPT, Gemini, Claude, Perplexity, or Grok for recommendations in their category–and how you rank against your closest competitors in AI visibility.
  • Reviews & Competitor Tracking — Enables review requests via email, monitors customer feedback, and tracks competitor ratings and visibility.

Pricing: Discoverability is free to start — no credit card required. Full features, including AI rankings, unlimited review requests and complete competitor analysis, are available on Durable paid plans, which also include website hosting, invoicing and other business tools that run your business for you.

Durable is an AI-powered business builder that enables anyone to start, run and grow a real business in the shortest time possible. Founded to make business ownership accessible to everyone, Durable has helped more than three million users launch service-based businesses by automating core infrastructure, including website, marketing, customer management and operations, in a single platform. The company operates with a team of about 20 people, demonstrating AI’s ability to scale entrepreneurship globally. Durable’s mission is to make owning a business easier than having a job, and its vision is a future where everyone can own a business and build economic independence on their own terms.

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Leading AEO Platform Launches Lead Referral Program for Marketing Agencies

By
Globe Newswire
-
0
Leading AEO Platform Launches Lead Referral Program for Marketing Agencies

Cairrot-Logo.png

Cairrot introduces “Garden Partner” program to connect enterprise clients with top-performing AEO agencies, amid 46x growth and pre-seed funding momentum

Cairrot, the fastest-growing Answer Engine Optimization (AEO) platform for marketing agencies and SMBs, announced the launch of its Garden Partner program; a lead referral initiative that connects Cairrot’s midsize and enterprise clients with vetted, high-performing marketing agencies specializing in AEO and Generative Engine Optimization (GEO), as well as adjacent services.

The program arrives as demand for dedicated AEO services surges: Cairrot reports that 72% of its current midsize and enterprise clients have expressed interest in dedicated AEO services beyond the company’s software platform. Garden Partners (agencies that have completed three AEO consultations with Cairrot Cofounder Connor Kimball and demonstrated strong AEO/GEO and SEO fundamentals) are eligible to receive these leads directly from Cairrot.

The announcement comes on the heels of explosive growth. Cairrot has achieved 46x growth since December 31, 2025, making it the fastest-growing AEO tool for agencies and SMBs in 2026. The company is also the most recommended AEO platform by every major large language model (including ChatGPT, Perplexity, Grok, and Claude) when it comes to affordable or agency-specific tools.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

“The Garden Partners are a natural, holistic fit for Cairrot’s business model,” said Connor Kimball, CEO and Cofounder of Cairrot. “AEO/GEO is such a new and rapidly evolving discipline, most companies and even agencies are not fully confident in their strategy. By partnering with the most trustworthy agencies in specific niches, we better serve our largest clients by connecting with the most specialized, ready-to-execute marketers in their field.”

The launch also comes amid growing investor interest. Cairrot confirmed it is currently engaged in pre-seed investor discussions, with multiple strategic partners already committed to six-figure investments.

“We achieved 46x growth in under 90 days. We closed two enterprise logos in the last 30 days. Our Garden Partners include top-rated AEO agencies in both B2B and B2C niches. And we haven’t spent a dollar on advertising or events,” Kimball added. “It’s all organic growth from LLMs recommending Cairrot because we know AEO better than the rest. We walk the walk while others just talk, and the brands that want real results are noticing.”

Cairrot’s organic growth is made more impressive considering its well-funded competition. Profound, Peec AI, Scrunch AI, and Bluefish have each received over $15M in funding, and yet they are losing ground in LLM recommendations for AEO’s fastest growing markets (agencies and SMBs) to a new tool with no funding, no advertising, and no institutional backing as of March 31, 2026. Cairrot attributes its edge to an open-data, agency-first approach (offering free API access, white-label capabilities, and pricing built for agencies managing multiple clients) in a market where most competitors have optimized for enterprise contracts and closed ecosystems.

While the company is rapidly expanding in the Tracking/Analytics tools market with affordable, white label solutions, Cairrot has publicly stated they are launching “Insights” and “Generation” in Q3, which they say positions them as a full-stack marketing agency-in-a-box and sets them up to compete for a piece of the $90B Gen AI and Content Intelligence markets.

Cairrot is an Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) analytics tool built for marketing agencies, consultants, and SMBs. Launched in December 2025 and headquartered at the ARK Innovation Center in St. Petersburg, Florida, Cairrot helps businesses track and improve their visibility in LLMs and AI Search – the fastest growing organic marketing channel since the advent of social media. The platform is open-data, affordable, and designed for integration into agentic workflows.

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

PredictionCircle Brings Prediction Market Intelligence to General Audiences

By
Globe Newswire
-
0
PredictionCircle Brings Prediction Market Intelligence to General Audiences

Prediction Circle

Platform translates live odds from Polymarket, Kalshi, PredictIt, and Manifold into clear, human-readable insights

Prediction markets have become one of the most reliable forecasting tools available . In 2025 alone, over $63 billion in volume traded across major platforms, and outlets including CNN, The Wall Street Journal, and CNBC now cite market odds alongside traditional polls when covering elections, economic decisions, and global events. The signal is real. The problem is that most people have no idea how to read it.

PredictionCircle was built to close that gap. The platform aggregates live data from four major prediction market platforms and turns raw probabilities into clear, structured intelligence. Every market page on PredictionCircle combines current odds, trading volume, participation data, relevant news, and a plain-English summary of what the market is actually saying.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

Prediction Markets Hit the Mainstream

The launch arrives at a turning point for the industry. Since late 2025, DraftKings, FanDuel, Truth Social, Robinhood, and Fanatics have all launched or announced prediction market products, bringing the category to tens of millions of new users for the first time. Polymarket’s implied probabilities tracked the 2024 US presidential election more closely than any major polling aggregator in the final weeks of the campaign, and the Iowa Electronic Markets, running since 1988, have beaten national polls in 74% of head-to-head comparisons across 964 polls.

The platforms are multiplying. What has been missing is an independent layer that helps everyday audiences actually understand what these markets are saying.

Turning Numbers Into a Full Picture

Most prediction market platforms show a probability and stop there. A 67% contract tells you a number, but not whether that number has been rising or falling, who is behind it, or what moved it this morning.

PredictionCircle adds context at every level. The platform introduces a proprietary signal called Crowd vs. Money, which separates two things that headline odds collapse into one: how many participants are backing an outcome, and how much capital is actually committed behind it. When those two diverge, it often reveals something the probability alone does not show.

Data refreshes every five minutes. Markets are tracked across politics, economics, cryptocurrency, sports, geopolitics, and global events.

Built for the Outer Circle

Prediction markets have historically been tools for traders. PredictionCircle is built for everyone else: the curious majority who follow politics, sports, and economics, and who want to understand what the collective judgment of informed participants is actually saying, without needing a trading background to get there.

“Prediction markets are one of the clearest signals of what people actually believe will happen,” said a co-founder of PredictionCircle. “But the data has been locked behind complex interfaces and built for traders. We built PredictionCircle to make that signal readable for anyone.”

The platform’s roadmap includes a Daily Prediction Brief delivering the largest probability shifts each morning, AI-powered Smart Insights that explain what is driving odds movements, and per-event discussion boards where market data is part of the conversation context.

Transparent by Design

PredictionCircle does not operate prediction markets or facilitate trading. The platform aggregates publicly available data from Polymarket, Kalshi, PredictIt, and Manifold, and has independently reviewed and scored each platform on liquidity, fees, resolution integrity, and accessibility before inclusion.

All content on PredictionCircle is informational only. Market odds reflect collective sentiment, not financial advice.

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Trivana.ai Launches AI Platform Transforming Content into Interactive, Voice-Driven Experiences

By
MTS Staff Writer
-
0
McCrossen Marketing Launches AI-Powered Marketing Intelligence Platform, Defining a New Category for Business Marketing

AI Hosted Gameshow Builder - Trivana

Rerato Technologies Private Limited announced the launch of Trivana.ai, an advanced artificial intelligence platform that converts static content into fully voiced, AI-hosted interactive experiences in seconds.

Backed by NVIDIA Inception, Google for Startups Cloud Program, MongoDB for Startups, and Yotta Rudra Startup Accelerator, Trivana.ai introduces a new paradigm in AI-powered content by transforming passive material into dynamic, conversational experiences.

At the core of the platform is its proprietary Smart Host technology, a novel AI voice engine capable of generating real-time, context-aware commentary that adapts to user interactions. The platform offers seven distinct AI host personas across 10 languages and delivers a frictionless experience with no app downloads or user signups required, enabling instant access via shareable links.

Trivana.ai enables scalable content generation from virtually any source material. Enterprises are leveraging the platform for employee onboarding and compliance training without the need for technical implementation. Educational institutions use it to enhance classroom engagement and create effective revision tools, while event organizers deploy it for interactive sessions, icebreakers, and team engagement activities.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

“We are not building just another quiz tool. Trivana is a full-scale AI content engine that transforms any material into an interactive and engaging experience,” said Anmol Dhingra, Founder and CEO of Trivana.ai. “From extensive compliance manuals to product training decks, our platform converts content into formats that drive real user engagement.”

With its multilingual capabilities and seamless user experience, Trivana.ai is positioned as a powerful solution for global organizations aiming to improve knowledge transfer, retention, and employee engagement.

“The response from corporate training teams has been immediate,” Dhingra added. “Organizations recognize Trivana as a practical solution to make onboarding and compliance training more effective and memorable. That is the core problem we are addressing.”

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

Dhingra brings over a decade of experience in developing deep learning systems, MLOps pipelines, and secure AI infrastructure for Fortune 500 financial institutions. His expertise spans cybersecurity AI, fraud detection, and large-scale Kubernetes deployments. He holds a Digital MBA in Technology Leadership from CTO Academy and a bachelor’s degree in computer science.

He has been recognized for delivering AI-powered products at scale, is a national Big Data and Hadoop championship winner, and has represented India at the 38th Roller Hockey World Championship.

Launched in 2026, the company is focused on making knowledge transfer interactive, voice-driven, and measurably more effective. Trivana.ai is designed for enterprise teams, educators, and content creators seeking to modernize content engagement.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Seattle Startup Unveils The SIGNAL Method, the First Post-Agile Framework for AI-Era Product Development

By
MTS Staff Writer
-
0
Dubai-Based Lumitech Named Among Top Generative AI Development Companies in 2026 by Techreviewer.co

Raindrop Digital publishes a new product development methodology and book, declaring a new era in how products are built when AI is part of the workforce.

Raindrop Digital LLC announced the release of The SIGNAL Method: A Product Builder’s Guide in the Post-Agile World, now available on Amazon and as a free resource at thesignalmethod.org. The SIGNAL Method is the first product development framework purpose-built for teams working alongside artificial intelligence, and represents a formal declaration that the Agile era of product development has given way to something new.

For more than two decades, Agile methodology has been the dominant framework for building software and digital products. But Agile was designed for a workforce composed entirely of humans. It assumed human-speed iteration, human-scale output, and human-only collaboration. With AI now contributing across every stage of the product lifecycle, from market research and design to code generation and quality assurance, those assumptions no longer hold.

“Agile solved the right problem for its time. But the workforce has changed. AI isn’t a tool you pick up and put down. It’s a team member that’s always on, always producing, and always learning. Product development needed a framework that accounts for that reality, and no one had built one. So we did,” said Lauren Beam, Co-Founder of Raindrop Digital.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

The SIGNAL Method is structured around six interconnected components: Scope, Instruct, Generate, Navigate, Adapt, and Learn. Together, these components guide product teams from initial concept through market launch, compounding intelligence at every stage rather than simply iterating in circles. The framework replaces Agile’s sprint-based cadence with milestone-driven delivery, swaps user stories for precise build prompts, and introduces a signal queue that turns real-world user feedback into the team’s most valuable strategic asset.

Raindrop Digital is also building Storm, an AI-powered product lifecycle management platform built on The SIGNAL Method. Storm is designed specifically for non-technical founders, entrepreneurs with product visions who have been excluded from digital product development by technical barriers.

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

“There has never been a better time in history to build a product,” said Brian Smith, Co-Founder of Raindrop Digital. “The cost is lower. The speed is higher. The tools are extraordinary. The only thing missing was a methodology that matches the moment. That’s what The SIGNAL Method is.”

The SIGNAL Method: A Product Builder’s Guide in the Post-Agile World is available now on Amazon and at thesignalmethod.org. Storm is currently in beta with broader availability planned for later this year. The methodology is not theoretical. It is tested daily on every product Raindrop Digital builds.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Artificial Intelligence Influences Website Development and Search Engine Optimization Practices

By
MTS Staff Writer
-
0
Artificial Intelligence Influences Website Development and Search Engine Optimization Practices

New Orleans Web Design Company | Rhino Web Studios

The integration of artificial intelligence into website development and search engine optimization is reshaping how digital platforms are created, structured, and maintained. As AI-driven tools become more widely adopted, changes are emerging in both the technical construction of websites and the methodologies used to improve search visibility.

Artificial intelligence is increasingly being used to assist in the design and development process. Traditional website creation often relied on manual coding, static templates, and iterative design revisions. AI systems now contribute to layout generation, content structuring, and user experience optimization by analyzing large datasets and identifying patterns in user behavior.

These systems can evaluate how visitors interact with a website, including navigation paths, engagement time, and conversion behavior. Based on this data, AI tools can recommend adjustments to page structure, content placement, and design elements. This data-driven approach introduces a level of responsiveness that was previously difficult to achieve through manual analysis alone.

Content development is also being influenced by artificial intelligence. AI tools are capable of generating written material, suggesting topic ideas, and analyzing keyword trends. This has shifted content strategies toward more adaptive and data-informed processes. Instead of relying solely on historical keyword research, AI can identify emerging search patterns and adjust recommendations in near real time.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

Search engine optimization itself is undergoing a parallel transformation. Search engines have evolved beyond simple keyword matching and now rely heavily on machine learning algorithms to interpret intent, context, and relevance. AI plays a central role in how search engines evaluate content, rank pages, and deliver results to users.

As a result, SEO strategies are shifting away from rigid keyword targeting and toward a more comprehensive understanding of content quality and user intent. Factors such as topical depth, semantic relevance, and overall user experience are becoming increasingly important in determining search rankings.

Brett Thomas, founder of Rhino Web Studios, addressed the impact of these changes on website development and optimization practices.

“Artificial intelligence is influencing both how websites are built and how search engines interpret them,” said Brett Thomas. “The focus is shifting toward structure, context, and the overall experience provided to the user, rather than isolated technical elements.”

One area where AI is having a measurable impact is in technical SEO. Automated systems can now audit websites for performance issues, identify indexing problems, and recommend improvements related to page speed, mobile responsiveness, and internal linking. These tools reduce the time required to identify technical issues and allow for more continuous optimization.

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

User experience has also become more closely tied to search performance. AI-driven analytics can assess how users interact with a website and identify friction points that may affect engagement. Metrics such as bounce rate, time on site, and interaction patterns are increasingly relevant in determining how content is evaluated by search algorithms.

Another development involves personalization. Artificial intelligence enables websites to adapt content based on user behavior, location, and preferences. This can result in different users experiencing variations of the same website, with content tailored to individual needs. While personalization has existed in limited forms for years, AI has expanded its scale and precision.

The rise of voice search and conversational interfaces has further influenced SEO strategies. AI-powered assistants interpret natural language queries, which often differ from traditional typed searches. This shift has led to increased emphasis on conversational content, question-based formats, and structured data that helps search engines understand context.

Website architecture is also evolving in response to AI integration. Structured data, schema markup, and semantic HTML are becoming more important as search engines rely on machine learning to interpret relationships between different pieces of content. Clear organization and logical hierarchy within a website support more effective indexing and retrieval of information.

In addition, AI is contributing to ongoing content evaluation. Search engines continuously assess content for relevance, accuracy, and usefulness. This has reduced the effectiveness of static optimization strategies and increased the importance of maintaining updated, well-structured content over time.

The role of human oversight remains central despite these technological advancements. AI systems provide analysis and recommendations, but strategic decisions regarding content, branding, and user experience continue to require human input. The interaction between human expertise and machine-driven insights is shaping the current landscape of digital development.

Industry observers note that the integration of artificial intelligence is not a single shift but an ongoing process. As AI technologies continue to develop, further changes are expected in how websites are built and how search engines evaluate digital content.

The influence of artificial intelligence extends beyond technical adjustments. It represents a broader transition toward systems that prioritize relevance, usability, and adaptability. Websites are no longer static entities but evolving platforms that respond to both user behavior and algorithmic evaluation.

Understanding these changes provides context for how digital strategies are being redefined. Artificial intelligence is altering the relationship between website development and search engine optimization, linking them more closely than in previous models.

As these technologies continue to mature, the integration of AI into both disciplines is expected to remain a defining factor in how digital platforms are created and discovered.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Content Organization Plays a Key Role in How Search Engines Interpret Business Websites

By
MTS Staff Writer
-
0
Content Organization Plays a Key Role in How Search Engines Interpret Business Websites

Content Development | Jambalaya Marketing

The structure and organization of website content are increasingly recognized as important factors in how search engines interpret and rank business websites. As search algorithms continue to evolve, emphasis is shifting toward how information is arranged, connected, and presented across digital platforms.

Search engines rely on automated systems to crawl and index web pages. These systems evaluate not only the words on a page but also how content is structured within the broader context of a website. Clear organization allows search engines to better understand relationships between topics, services, and supporting information.

Search engines are evaluating how information is connected across an entire website, not just within individual pages”

— Brett Thomas

Content organization refers to the way information is grouped, labeled, and connected throughout a website. This includes page hierarchy, internal linking, navigation menus, and the use of headings and categories. When content is arranged logically, search engines can more easily determine what a website represents and how individual pages relate to one another.

Historically, search engine optimization focused heavily on keyword placement within individual pages. While keywords remain relevant, modern algorithms place greater weight on context and topical relationships. A single page optimized for a specific phrase is no longer sufficient if it exists in isolation without supporting content.

Instead, search engines now evaluate clusters of related content. A well-organized website often includes multiple pages that address different aspects of a broader topic. These pages are connected through internal links and structured in a way that reflects a clear hierarchy. This approach provides search engines with a more complete understanding of subject matter.

Website navigation plays a central role in this process. Menus that clearly define categories and subcategories help both users and search engines identify the primary focus areas of a business. Consistent labeling and logical grouping of content reduce ambiguity and improve the ability of search engines to interpret page relevance.

Internal linking further strengthens content organization. Links between related pages signal connections and reinforce topical relationships. When implemented consistently, internal links guide search engines through the structure of a website, allowing for more efficient indexing and improved visibility of interconnected content.

Heading structure also contributes to how content is interpreted. The use of properly formatted headings creates a visual and structural outline of information. Search engines use this structure to identify key topics within a page and understand how supporting details are organized beneath them.

Brett Thomas, founder of Jambalaya Marketing, addressed the role of content organization in modern search optimization.

“Search engines are evaluating how information is connected across an entire website, not just within individual pages,” said Brett Thomas. “Clear structure helps define what a business does and how different topics relate to one another.”

The use of structured data and semantic markup has also become more relevant. These elements provide additional context that helps search engines categorize content more accurately. Structured data can define elements such as services, locations, and business information in a format that is easier for search engines to process.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

As websites grow and expand, maintaining consistent organization becomes more complex. Without a defined structure, content can become fragmented, making it more difficult for search engines to identify key themes. Disorganized content may lead to overlapping topics, unclear page relationships, and reduced visibility in search results.

Content organization also influences user experience. Visitors rely on clear navigation and logical structure to find information efficiently. When users can easily move through a website and locate relevant content, engagement tends to improve. Search engines monitor these interactions and incorporate user behavior into ranking considerations.

The relationship between user experience and search performance continues to strengthen. Websites that are easier to navigate and understand often align with the criteria used by search algorithms to evaluate quality and relevance. This connection reinforces the importance of maintaining a structured approach to content development.

Another factor involves scalability. Businesses that plan for growth benefit from a framework that supports the addition of new content without disrupting existing organization. A structured system allows for expansion while preserving clarity and consistency across the website.

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

Industry observers note that content organization is no longer a secondary consideration in website development. It is a foundational element that influences how information is interpreted, indexed, and ranked. As search engines become more advanced, the ability to present content in a clear and connected manner continues to gain importance.

The shift toward structured content reflects a broader change in digital strategy. Rather than focusing solely on individual pages, businesses are organizing information in ways that reflect complete subject areas. This approach aligns with how search engines process information and how users seek answers online.

Understanding the role of content organization provides insight into how websites function within modern search environments. Clear structure, logical hierarchy, and consistent internal connections contribute to a more comprehensive representation of a business and its services.

As search technology continues to evolve, the importance of organized content is expected to remain a central factor in how business websites are interpreted and ranked.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

From Traffic to Transactions: Wytlabs’ ROI-Driven Ecommerce SEO Framework

By
MTS Staff Writer
-
0
From Traffic to Transactions: Wytlabs' ROI-Driven Ecommerce SEO Framework

Wytlabs Logo

Wytlabs reveals its proven ecommerce SEO framework that turns traffic into measurable revenue — combining technical SEO, content strategy, and AI optimization.

Most ecommerce brands treat SEO as a traffic game. Wytlabs doesn’t. The agency has built its ecommerce SEO services around a single, non-negotiable standard: search visibility has to connect directly to revenue. Rankings that don’t drive transactions aren’t worth much, and that belief shapes every part of how Wytlabs works.

The result is a four-pillar framework that covers the full journey from crawlability to conversion, while accounting for where search is actually heading in 2026 and beyond.

Wytlabs’ ROI-Driven Ecommerce SEO Framework

Technical Audit: Everything starts with a full SEO audit. Crawl issues, slow load times, mobile performance gaps, broken indexation paths, all of it gets surfaced and fixed before any content or link work begins. This process isn’t just best practice. If search engines can’t properly read a site, it won’t rank. And if AI platforms can’t parse the structure, it won’t surface in generative results either. A solid technical foundation is essential.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

Content strategy at Wytlabs isn’t built solely around keyword volume. It’s built around what buyers are actually trying to figure out at each stage of a purchase decision. That means mapping content across the full funnel, from early research queries to high-converting product and comparison searches. Every page is written to answer a real question and pull a visitor closer to a purchase. Good content ranks. Content that also converts drives revenue.

Not all backlinks are equal, and generic link volume rarely moves the needle on competitive ecommerce terms. Wytlabs uses keyword-anchored link acquisition strategies, targeting placements that build authority specifically around the terms that matter commercially. It’s a slower, more deliberate approach than bulk link building, but it’s the one that actually improves rankings for the terms buyers use.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

This area is where the framework has evolved most significantly. Google AI Overview, ChatGPT, Perplexity, and Gemini are now active players in how buyers discover products. Brands that lack a structure for generative search are missing out on potential clicks.

Wytlabs integrates AEO (AI Engine Optimization) and GEO (Generative Engine Optimization) into its core ecommerce SEO services workflow. That includes restructuring content with semantic markup, FAQ architecture, conversational tone, and LLM-friendly formatting so that brands show up in AI-generated results, not just traditional SERPs.

What the Numbers Look Like

Wytlabs’ client base has well-documented the framework’s impact. For All Print Heads, a printer supplies retailer with 23 years in a competitive market, a focused technical, content, and link-building push drove a 510% increase in organic revenue, a 79% boost in organic traffic, and 118% growth in average page views.

For Valerie Madison, a Seattle-based sustainable fine jewelry brand, the challenge was AI search invisibility despite strong press coverage. Wytlabs restructured over 80 pieces of content using its AEO/GEO approach.

Within six months, the brand ranked across more than 1,200 generative queries on platforms including Google AI Overview, ChatGPT, Perplexity, Gemini, and Copilot. AI-driven traffic grew by over 1,079%.

The broader point is straightforward. Search is more fragmented than it was two years ago. Buyers use AI tools, voice queries, and zero-click results to make decisions before they ever reach a website. Wytlabs ecommerce SEO framework is designed for the current market, accounting for these changes.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Relynta Launches Inbox-First AI CRM for Small Businesses

By
MTS Staff Writer
-
0
Relynta Launches Inbox-First AI CRM for Small Businesses

Business-aware AI, appointment booking, estimates, invoicing, payments, client portal, SMS, documents, deals, and campaigns in one place.

Relynta announced the launch of its inbox-first AI CRM, a new platform built to help small businesses stop juggling disconnected tools and start managing customer relationships from one connected workspace.

Built for modern small teams, Relynta combines the essential tools businesses rely on every day—email, CRM, appointment booking, estimates, invoicing, payment collection, client portal, documents, deals and pipeline, two-way SMS, and campaigns—while adding AI-driven responses at your fingertips.

Instead of forcing businesses to switch between multiple apps, tabs, and systems, Relynta is designed around where work already happens: the inbox. By connecting communication, customer management, and operational workflows in one place, the platform helps businesses respond faster, stay organized, and move from conversation to action without the usual friction of fragmented software.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

“Small businesses do not need another bloated system,” said a spokesperson for Relynta. “They need a practical workspace that helps them reply faster, know their customers better, send estimates, collect payments, manage appointments, and stay on top of deals—without bouncing between tools all day. Relynta was built to bring that all together in one place.”

At the center of the platform is business-aware AI designed to help teams draft faster, more relevant replies. Rather than generating generic responses, Relynta can use company context—such as business information, documents, and knowledge sources like websites and PDFs—to help create replies that are more accurate, personalized, and useful.

Relynta brings together relationship management and business execution in one connected system, including:

AI-Powered Replies on Your Fingertips — Draft responses quickly and confidently without starting from scratch every time.
Business-Aware AI — Ground AI responses in your company’s services, documents, website content, and customer context.
Inbox-First CRM — Work where conversations already happen instead of constantly switching between email and a separate CRM.
Contact Memory — See notes, past threads, deals, and relationship history together for smarter follow-up.
Appointment Scheduling and Booking Pages — Let leads and clients book meetings online while keeping appointments connected to customer records.
Estimates and Invoicing — Create, send, and manage quotes and invoices from the same platform.
Payment Collection — Help customers pay faster with integrated payment workflows.
Client Portal — Offer customers a professional place to view information, documents, and take action.
Document Management — Keep important files organized and tied to the right contacts and workflows.
Deals and Pipeline — Track opportunities, progress, and next steps in one place.
Two-Way SMS — Communicate with customers by text and support reminders for appointments and invoices.
Classic and Drip Campaigns — Run one-time outreach and automated follow-up sequences without adding another system.
Affordable Pricing — Modern capability for small businesses without enterprise-level complexity or cost.

Marketing Technology News: Is the Traditional CDP Already Out of Date?

For many small businesses, growth is slowed not by lack of effort, but by the gaps between disconnected systems. Emails live in one tool, customer notes in another, estimates somewhere else, payments in a separate platform, and follow-up often depends on memory. Relynta is designed to close those gaps by connecting the full customer journey—from first inquiry to scheduled meeting to proposal, payment, and ongoing relationship management.

The platform is especially valuable for small and growing businesses that want the power of AI without sacrificing simplicity or control. Teams can manage communication, appointments, sales activity, documents, billing, and customer engagement in one workspace instead of piecing together a stack of separate point solutions.

Relynta also makes it easier for businesses to get started with a 14-day free trial, giving teams a straightforward way to explore the platform and experience the benefits of an inbox-first, AI-powered workflow.

As AI becomes an increasingly important part of everyday business operations, Relynta’s approach is simple: make AI practical, make it business-aware, and connect it to the workflows small businesses actually use to serve customers and grow revenue.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

PartnerOne Completes the Acquisition of Mortgage Cadence

By
PRNewswire
-
0
PartnerOne Completes the Acquisition of Mortgage Cadence

PartnerOne, one of the fastest-growing enterprise software groups worldwide, is proud to announce the official close of its acquisition of Mortgage Cadence, a leading provider of cloud-based digital lending solutions.

With the completion of this strategic acquisition, Mortgage Cadence joins the PartnerOne portfolio, gaining a long-term platform for growth, innovation, and customer-centric excellence. The integration will accelerate Mortgage Cadence’s ability to transform the mortgage origination experience for lenders and borrowers, streamlining loan origination, reducing operational costs, and enhancing borrower experiences through AI, robust automation and new capabilities.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

This marks a significant milestone in the evolution of Mortgage Cadence and further solidifies PartnerOne’s position as a global leader in enterprise software.

“Welcoming Mortgage Cadence into the PartnerOne family marks a pivotal moment for both organizations,” said Suzanne Fortman, Vice President at PartnerOne. “We are committed to empowering Mortgage Cadence’s talented team, supporting their innovation, and expanding the resources needed to serve customers and partners at the highest level. Together, we look forward to shaping the future of digital mortgage technology.”

Marketing Technology News: Is the Traditional CDP Already Out of Date?

PartnerOne is committed to ensuring stability and a seamless transition for Mortgage Cadence’s customers and partners. Continuing its tradition of investing in enduring software companies, PartnerOne will provide Mortgage Cadence with the resources and operational excellence needed to evolve its platform and deepen customer relationships.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

The Ultimate Editing Bay: GIBO Unveils Multi-Modal Workspaces Within GIBO Watch

By
PRNewswire
-
0
The Ultimate Editing Bay: GIBO Unveils Multi-Modal Workspaces Within GIBO Watch

GIBO Holdings Ltd., a global technology company focused on AI-driven content, announced the launch of its Multi-Modal Workspaces Engine, a core component of the GIBO Watch system designed to unify the editing, assembly, and finalization process for short-form video production.

Positioned as the “Ultimate Editing Bay” within the GIBO Watch framework, this release introduces a seamless environment where video clips, AI-generated voiceovers, and background music can be integrated, edited, and exported within a single intelligent workspace.

Bringing Creation Together in One Unified Interface

As content production becomes increasingly AI-driven, creators often face fragmented workflows across multiple tools. GIBO’s Multi-Modal Workspaces address this challenge by providing a centralized editing interface that consolidates all creative elements into a cohesive production environment.

Within this workspace, creators can combine visual outputs, synchronize audio layers, refine transitions, and finalize content without the need for external editing software. This integrated approach significantly reduces workflow complexity and enhances production efficiency.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

Multi-Modal Integration for Modern Content Production

The Multi-Modal Workspaces are designed to support the convergence of multiple content layers, enabling creators to seamlessly orchestrate:

  • AI-generated video clips and scenes
  • AI voiceovers with synchronized timing
  • Generated background music and sound effects

By aligning these elements within a single timeline-based interface, the system enables precise control over narrative flow, pacing, and audiovisual consistency—critical for high-performance short-form content.

Simplified Export and Publishing Workflow

To complete the production cycle, GIBO Watch introduces built-in export and publishing tools, allowing creators to prepare and deliver content efficiently.

The export system supports multiple formats and aspect ratios, ensuring compatibility with various social media platforms and streaming environments. This allows creators to move from production to distribution seamlessly, accelerating time-to-market for short-form content.

Advancing GIBO Watch as a Full-Stack Creative Framework

The introduction of Multi-Modal Workspaces further strengthens GIBO Watch’s position as a comprehensive AI-enabled framework for short film production, marketing, and monetization.

By integrating creation, editing, and output capabilities into a unified system, GIBO is building a full-stack infrastructure that supports the entire content lifecycle—from ideation and generation to final delivery and distribution.

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

Driving the Future of Intelligent Content Production

GIBO continues to focus on simplifying and scaling the creative process through AI innovation. The Multi-Modal Workspaces represent a critical step toward enabling creators, studios, and platforms to operate within a fully integrated production ecosystem.

As demand for short-form content continues to grow globally, GIBO Watch is designed to provide the tools necessary to produce, refine, and deliver content efficiently hence unlocking new opportunities in the evolving digital content economy.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

1...242526...4,423Page 25 of 4,423

About Us

MarTech Series is a leading publishing platform that provides daily updates on marketing technology news, in-depth interviews with industry leaders (such as CMOs and product heads), and expert-led insights on topics like AI/ML, analytics, and marketing automation. As part of the iTech Series network, it acts as a "Brand to Demand" partner.

Quick Links

Visit our Other Sites

Follow Us

Interested in our Customized Editorial Services? Please fill your details and we'll get in touch with you!

FILL YOUR DETAILS
Brought to you byiTechSeries LogoCopyright © 2026 MarTech Series. All Rights Reserved.Privacy Policy
To repurpose or use any of the content or material on this and our sister sites, explicit written permission needs to be sought.