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Particular Audience promotes Langton McCombe to Sales Director, North America

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Particular Audience promotes Langton McCombe to Sales Director, North America

Particular Audience Developer Portal | Particular Audience Docs

Particular Audience (PA), a global leader in Retail Media and Personalisation technology, today announced the promotion of Langton McCombe to the role of Sales Director, North America. In this position, McCombe will manage the company’s commercial and client delivery initiatives in the region, empowering retailers to unlock new digital revenue streams and deliver hyper-personalized shopping experiences to their customers.

McCombe’s appointment is a testament to his exceptional track record and deep history with the company. Having joined Particular Audience directly out of university in 2019, he has built his career entirely within PA, consistently demonstrating strategic leadership and a sharp aptitude for commercial outcomes.

His tenure is highlighted by a pivotal transition during the height of the COVID-19 pandemic. To spearhead Particular Audience’s entry into the US market, McCombe relocated from Sydney, Australia, to Vancouver, Canada, during a period of unprecedented global disruption. Despite the challenging circumstances, his efforts successfully established and accelerated PA’s North American footprint.

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“Langton’s journey with Particular Audience is the ultimate success story of internal growth and relentless dedication,” said James Taylor, CEO/Founder at Particular Audience. “He took on the massive challenge of opening a new market alongside Lindsay Hatton during a global pandemic, and delivered outstanding results. We are thrilled to see him take on more responsibility and continue to represent PA with such a high standard.”

Through a series of internal promotions, McCombe has consistently proven his ability to champion client success in the rapidly-evolving Retail Media landscape. His commercial strategy is rooted in a strict customer-first philosophy. His entire focus is on scaling the revenue and profitability of PA’s retail partners, with the understanding that the company’s own growth is a direct byproduct of their success. As Sales Director, North America, he will oversee the regional team to further this mission and expand the adoption of PA’s core Personalisation and Retail Media solutions.

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“Moving across the world to introduce our Retail Media and Personalization platform to the North American market is not for the faint-hearted; four years later and the investment has paid off,” said Langton McCombe. “Retail media is just getting going in the US, and our AI native DNA positions Particular Audience to be at the centre of its continued growth.”

Particular Audience is the leading AI-native retail media and personalisation platform, powering both organic and sponsored personalised product discovery through its DiscoveryOS platform. With operations across the US, UK, Canada, and Australia, Particular Audience partners with the world’s most ambitious retailers including Target, The Good Guys, Petbarn, Hamleys and Hotel Chocolat to boost conversion, increase ad revenue and lift shopper satisfaction, without compromising user experience. Particular Audience supports global enterprise retailers, while advancing open-source standards like the Model Context Protocol (MCP) that enable agentic commerce. The company’s mission is to show every shopper exactly what they want – before they know they want it – while driving profitable growth for the merchants who serve them.

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Sainsbury’s Nectar360 partners with Uber and Uber Eats to bring Nectar loyalty to customers

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Sainsbury’s Nectar360 partners with Uber and Uber Eats to bring Nectar loyalty to customers
  • From today, Nectar members can now turn their points into Uber rides or Uber Eats orders – a first for Nectar and for Uber

  • Customers can swap Nectar points for an Uber voucher, automatically added to their Uber app for use on Uber Rides or Uber Eats

Sainsbury’s Nectar360, which owns and operates Nectar, the UK’s largest coalition loyalty scheme, has partnered with Uber so members can use their points for Uber and Uber Eats. The addition of Uber to Nectar’s over 500 big brand partners has created a new reward category for the loyalty programme. It marks the first time Nectar has partnered with a ride‑hailing platform, adding even more choice for its members.

From a ride home or train somewhere exciting to a takeaway at the weekend, the new partnership is all about creating loyalty that everyone loves with Nectar, providing members with joyful, real-life experiences.

The partnership gives Nectar customers another way to make the most of their points. Through the Nectar app, customers can choose how many points to use with Uber, from 500 to 4,000 at a time – equivalent to between £2.50 and £20.

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Amir Rasekh, Managing Director, Nectar360, said: “We’re giving people more ways to enjoy the value they get from Nectar, making everyday moments more rewarding. Being able to use Nectar points on Uber rides or an Uber Eats treat is something we know people will love, because it fits so easily into everyday life. It’s an exciting first for us too, as our only ride‑hailing partner.”

Katie Hunter, Head of Grocery and Retail at Uber Eats, said: “Nectar has built a deep connection with British households, and we are so pleased to become their first-ever ride-hailing and delivery partner. By integrating our services, we’re providing Nectar’s loyal members with even more flexibility in how they spend their rewards, whether that’s a reliable ride home or a favourite meal delivered to their door, making daily life just that bit more seamless”

Nectar360 starts with the UK’s largest multi partner loyalty programme and ends with brands connecting to their customers in smarter, more meaningful ways. Working with over 900 brands, including Sainsbury’s, Argos, British Airways, Esso and American Express®, we use rich data and deep behavioural insight to understand who customers are, what they value, and how to reach them with relevance. With access to over 24 million members, we help brands, agencies and partners turn insight into loyalty — and loyalty into growth.

We’re a full‑service, full‑strategy retail media network. That means pairing data with creativity; using loyalty to fuel precision; and giving clients (including CPG and General Merchandising brands like Unilever, Samsung and PepsiCo) the clarity and confidence to plan, activate and measure with impact. From omnichannel campaigns that move customers from social to shelf, to tools that unlock billions of real data points, we make every decision count.

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Uber’s mission is to create opportunity through movement. From helping people get where they need to go, to delivering food, groceries, and powering business logistics, Uber connects communities across the UK. Since launching in 2012, Uber has facilitated millions of trips and continues to develop technology that makes everyday life easier.

Uber’s mission is to create opportunity through movement. We started in 2010 to solve a simple problem: how do you get access to a ride at the touch of a button? More than 47 billion trips later, we’re building products to get people closer to where they want to be. By changing how people, food, and things move through cities, Uber is a platform that opens up the world to new possibilities.

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IMS Announces Executive AEO Training to Help Companies Increase Visibility Across Generative AI Platforms Including ChatGPT, Claude, Grok, and Perplexity

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IMS Announces Executive AEO Training to Help Companies Increase Visibility Across Generative AI Platforms Including ChatGPT, Claude, Grok, and Perplexity

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Free April 14 live workshop provides business leaders with a structured Answer Engine Optimization framework for improving discoverability inside AI search assistants, conversational platforms, and emerging intent-driven discovery environments with live Q&A and implementation guidance

IMS announced a live executive training event scheduled for April 14, 2026 at 1:00 PM EST designed to help founders, CEOs, and marketing leaders understand how to position their organizations for visibility across leading generative AI platforms such as ChatGPT, Claude, Grok, and Perplexity. The 60-minute session introduces a structured approach to Answer Engine Optimization that helps companies align their websites, authority signals, and content systems with how modern buyers research solutions .

ChatGPT is developed by OpenAI, Claude by Anthropic, Grok by xAI, and Perplexity by Perplexity AI. References to these platforms are provided for informational context only and do not imply affiliation or endorsement.

Search behavior is shifting from traditional keyword navigation toward AI-assisted evaluation and recommendation environments. Buyers increasingly rely on generative platforms to identify trusted providers before visiting company websites or engaging sales teams. Organizations that are not structured for answer engine interpretation risk losing visibility during early decision stages that influence vendor selection.

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“Generative AI platforms are rapidly becoming the first place buyers go to evaluate options,” said Solomon Thimothy, Founder of IMS. “Organizations that understand how to structure authority signals so they can be interpreted and surfaced by these systems will strengthen their positioning during the earliest moments of customer decision making.”

The session introduces the IMS AEO Alignment Framework, a three-part methodology designed to help organizations transition from ranking-dependent visibility toward answer-engine readiness:

Signal Structuring: preparing websites and digital knowledge assets so AI systems can interpret credibility, expertise, and relevance

Intent Mapping: translating customer questions, sales conversations, and support insights into structured answer-ready content

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Visibility Activation: aligning AEO, GEO, and modern SEO into a unified discovery strategy across search engines, conversational assistants, and voice environments

As generative search adoption accelerates across industries, executive teams are reassessing how digital authority is established and maintained. Answer platforms increasingly shape which organizations are introduced during research and comparison stages, making structured discoverability a strategic requirement rather than a tactical marketing adjustment.

The April 14 session is designed as a practical working workshop rather than a theory presentation. Participants will learn how to identify structural visibility gaps, understand why many websites are not interpreted clearly by answer engines, and apply frameworks that help AI systems recognize their organization as a credible solution source. The session includes a live Q&A segment that allows attendees to evaluate their own visibility challenges and receive direct implementation guidance.

This free training reflects a broader IMS initiative to help business leaders understand how AI-mediated discovery is changing competitive positioning across digital channels. By translating answer engine behavior into actionable steps, the workshop provides organizations with a clear entry point for adapting their visibility strategy to emerging search environments.

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Navatar Unveils AI-Powered M&A CRM Operating Model for Investment Banks and Boutique Advisors

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Basis Integrates Protected by Mediaocean to Deliver AI-Driven, Real-Time Media Quality & Performance Signals into Campaign Activation

Navatar

New Salesforce-based AI Deal Engine helps M&A banks boost deal origination, buyer and sponsor research, and end to end mandate execution without manual CRM work

“As deal markets reset, advisors no longer win mandates just by showing up in the data room – they win by consistently being first with the right idea, backed by credible insight,” said Alok Misra, CEO at Navatar. “Leading banks are already using AI to enhance prospecting, lead prioritization, and frontline effectiveness, and that the next step is to let AI agents run end-to-end workflows. Our AI Deal Engine is built to sit at the center of the M&A franchise, so bankers spend less time updating systems and more time in front of clients.”

Navatar’s operating model introduces a single AI Deal Engine that spans deal origination, client and sponsor coverage, opportunity screening, marketing, execution, and post-close relationship management. The AI runs continuously – capturing intelligence as it is created, preserving institutional context, and moving work forward automatically across the mandate lifecycle.

AI that runs M&A origination and coverage

Navatar’s AI is designed to function as a firm-wide intelligence and execution layer for sector teams, sponsor coverage, and senior rainmakers.

  • It continuously captures signals from emails, meetings, call notes, pitch materials, and market activity, and connects them to sectors, themes, buyers, sellers, and capital providers.
  • It identifies whitespace and under-covered relationships in each banker’s universe, surfaces next-best actions, and flags where follow-through is at risk.
  • It maps firmwide relationships so senior bankers can see, at a glance, how well each client, sponsor, and strategic is being covered – and where to direct the next wave of outreach.

Instead of relying on memory and static coverage lists, leadership teams get a dynamic view of coverage health, idea flow, and mandate pipeline across regions and sectors.

From signal to sell-side or buy-side idea

In day-to-day origination, Navatar AI helps bankers move from scattered signals to concrete idea flow and fully-formed buyer or sponsor lists.

  • For sell-side opportunities, the AI links company performance, investor activity, sponsor ownership, and prior interactions to potential process triggers, highlighting situations where a conversation about strategic alternatives is timely and suggesting which strategics and sponsors belong on the first-round list.
  • For buy-side and strategic advisory, it connects client priorities with detailed buyer and sponsor universes, surfaces relevant precedents, and proposes target lists that balance strategic fit, financial capacity, and process behavior from past deals.

By tying real-time signals back to sector theses, sponsor preferences, and prior deals, the AI helps teams prioritize which ideas to advance and which prospects to call this week, while keeping buyer and sponsor lists current instead of rebuilding them from scratch for every new mandate.

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End-to-end mandate execution with full context

Once a mandate is won, execution work quickly fragments across workstreams, data rooms, committee calls, and buyer or target interactions. Navatar AI acts as the institutional memory and coordination layer across the mandate. The buyer and sponsor list is no longer static at this stage – it evolves with every interaction, and Q&A thread, and advisors who can read those signals in real time are better positioned to shape the process.

  • It keeps track of who said what, when, across management, buyers, sponsors, and internal teams – so bankers can walk into every interaction with full context and a live view of how each buyer or sponsor has engaged so far.
  • It aligns tasks, timelines, and dependencies across execution teams, nudging workflows forward and flagging bottlenecks before they become issues, while adjusting buyer and sponsor priorities as engagement patterns change.
  • It links buyer or bidder behavior and feedback –Q&A patterns, meeting responses, and bid levels – directly to process strategy, helping teams fine-tune positioning, outreach, and negotiation tactics in real time.

As diligence workstreams generate a detailed footprint of bidder behavior, Navatar’s AI helps advisors interpret those signals and continuously refine both the buyer list and the overall deal strategy.

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Banker productivity and franchise scalability

Navatar’s AI operating model is designed to increase banker productivity without forcing teams into rigid templates.

  • Routine follow-ups, reminders, and data capture can be automated or initiated by the AI, reducing time spent on manual CRM updates.
  • New bankers and junior team members can ramp faster with access to deal, client, and sector intelligence that reflects the full history of the franchise, not just what’s in their personal notebooks.
  • Leadership can scale into new sectors, regions, and client segments while maintaining consistent coverage standards and execution quality.

“Banks want to grow their franchises without turning experienced bankers into data entry clerks,” added Misra. “Navatar’s AI Deal Engine is built to help them cover more clients, generate more relevant ideas, and run tighter processes – using the systems they already rely on.”

Built for confidentiality, accuracy, and control

M&A advisory work is sensitive, time-critical, and highly confidential. Navatar’s AI operating model, built on Agentforce, is designed with those realities in mind: client data remains within secure environments and is not exposed to public AI models, and the platform provides guardrails that support accuracy, completeness, and traceability when AI is used in live mandates and client decisions.

By making it clear where information came from, how recommendations were generated, and what actions were taken, Navatar helps firms manage risk while adopting AI at the core of their business.

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Factor4 Gift Cards Now Available on Oracle Cloud Marketplace

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Factor4 Gift Cards Now Available on Oracle Cloud Marketplace

This integrated solution enhances the customer journey by allowing staff to sell, redeem, and manage gift cards in real time, all from a single interface.

Factor4, a leading provider of gift and loyalty solutions and a member of Oracle PartnerNetwork (OPN), announced Factor4 Gift Cards is available on Oracle Cloud Marketplace and can be deployed on Oracle Simphony POS. Oracle Cloud Marketplace is a centralized repository of enterprise applications offered by Oracle and Oracle partners.

  • The Factor4 Gift Card Application enables high level business benefits, including:
    • No additional hardware needed – fully software-based integration requires no extra terminals or devices.

    • Real-Time Transaction Support – Instantly process and track gift card activity without delays or manual reconciliation.

    • Centralized Reporting – Access comprehensive gift card insights directly through the Simphony POS dashboard.

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Oracle Cloud Marketplace is a one-stop shop for Oracle customers seeking trusted business applications offering unique business solutions, including ones that extend Oracle Cloud Applications. Oracle Cloud is an enterprise cloud that delivers massive, non-variable performance and next generation security across a comprehensive portfolio of services including SaaS, application development, application hosting, and business analytics. Customers get access to leading compute, storage, data management, security, integration, HPC, artificial intelligence (AI), and Blockchain services to augment and modernize their critical workloads. Oracle Cloud runs Oracle Autonomous Database, the industry’s first self-driving database.

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“This integration brings our gift card solution directly into the Micros Simphony POS, eliminating the need for separate systems or manual workarounds,” said Dan Battista, CEO / Partner at Factor4. “It’s a truly embedded experience that simplifies operations and makes it easier than ever for businesses to offer and manage gift card programs.”

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Reply selected by Microsoft as Launch Partner for Agent 365, supporting the governance and scaling of AI agents

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Reply selected by Microsoft as Launch Partner for Agent 365, supporting the governance and scaling of AI agents

Reply has been confirmed one of a small number of Launch Partners for Agent 365, supporting the general availability of Microsoft’s new platform designed to provide enterprise-grade governance, observability and lifecycle management for AI agents.

Microsoft Agent 365 introduces a structured framework enabling organizations to deploy, monitor and manage AI agents consistently across business functions. As artificial intelligence becomes embedded in core operational processes, Agent 365 provides clarity, control and accountability, ensuring that AI-driven activities remain transparent, secure and aligned with organizational objectives.

Drawing on the expertise of the Reply group company specialized in Microsoft technologies, Reply, as a Launch Partner, will support clients in operationalizing Agent 365 through a structured and scalable approach that combines technical enablement with governance design and adoption strategy, helping organizations move from isolated AI experimentation to coordinated, enterprise-wide agent ecosystems.

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This approach translates into:

  • Assessment of AI and agent maturity across the organization
  • Design of governance, security and compliance frameworks for AI, Agents and Agentic Platform
  • Definition of observability and performance monitoring models
  • Configuration, roll-out and ongoing management of Agent 365
  • Adoption and change enablement programs to ensure sustainable business value

Reply brings consolidated experience in Microsoft technologies and enterprise AI transformation, combining strong technological capabilities with sector-specific knowledge across financial services, manufacturing, retail, telecommunications and the public sector. This expertise is reflected in large-scale, governed AI adoption programs such as the Copilot rollout at Lumen — where 93% utilization was achieved across the organization, more than 5,700 employees were trained through over 180 structured sessions, and dedicated governance and enablement frameworks were implemented to ensure transparency, control and measurable business impact. It is also demonstrated through the development of innovative AI-powered experiences like the “App to the Future” AI-scape room, built on Microsoft AI and low-code technologies to showcase how intelligent solutions can be securely designed, orchestrated and scaled within enterprise environments.

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“The introduction of Microsoft Agent 365 marks an important step in the evolution of enterprise AI. As organizations move towards distributed networks of intelligent agents, governance, observability and lifecycle management become critical enablers of scale. Being confirmed as a Launch Partner reflects Reply’s commitment to supporting clients in building structured, secure and measurable agent ecosystems, fully integrated within their enterprise architectures.” Commented Filippo Rizzante, CTO of Reply.

Through this collaboration with Microsoft, Reply reinforces its commitment to enabling organizations to implement artificial intelligence responsibly and at scale, supporting long-term digital transformation objectives.

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MoversTech Releases Its Most Significant Platform Update of Recent Months

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MoversTech Releases Its Most Significant Platform Update of Recent Months

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MoversTech, the end-to-end CRM built specifically for moving companies, has released two major platform updates – Expanded Multibranch Control and a fully redesigned Advanced Storage Module.
Together, these updates give multi-location moving companies the operational structure and automation to run complex operations inside one system, without compromising visibility or control across teams, locations, or billing.

“Growing moving companies face a real operational challenge as they expand – keeping locations, teams, and finances properly separated while still managing everything from one place,” said Viktor Micic, head of product development at MoversTech. “These updates give operators the structure to scale without creating the kind of data and branding overlap that slows companies down.”

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Key Features of the Expanded Multibranch Control Update:

– Multiple Branch Management
Create and operate multiple company locations inside one CRM account, each with its own identity and data.

– Separate Branding Per Branch
Each branch carries its own company details, logo, contracts, and email domain, keeping every location’s identity distinct.

– Automated Branch-Based Documents and Messaging
Contracts, emails, and SMS automatically reflect the correct branch branding based on the job’s assigned location – no manual adjustments required.

– Branch-Level Reporting and Filtering
Reports, invoices, claims, activities, and job views can be filtered by branch for clear financial and operational visibility across every location.

– Branch-Level Access Control
Define which users can access specific branches, so each team member sees only what is relevant to their location.

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Key Features of the Advanced Storage Module:

– SIT and Permanent Storage Accounts
Create and manage both short-term and permanent storage accounts directly inside MoversTech.

– Automatic Credit Card Charges
Set up recurring billing for storage clients without manual follow-up, reducing administrative overhead.

– Invoice Tracking and Billing
Track storage billing and send invoices without leaving the platform.

– Warehouses, Zones, and Containers
Organize storage inventory with a structured hierarchy that keeps client property accurately tracked at every level.

Backed by over 10 years of experience in the moving industry and built by a team that understands how moving operations actually run, MoversTech now supports over 100 companies across the United States with a platform that covers every stage of the business – from initial lead through final invoice. Both updates are live and available to customers today.

The Advanced Storage Module is included in the Unlimited Plan at no additional cost. Moving companies looking to see how these features work in their specific setup can schedule a private demo with the MoversTech team at moverstech.com.

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Epsilon Announces ETS Version 10, Advancing the Integrated Capital Markets Platform

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Epilon Technologies Group

Epsilon Technologies Group, a capital markets technology solutions provider, announced a new release of its ETS platform, marking a significant step forward in the evolution of ETS as an integrated front-to-back solution for capital markets functions.

With this release, Epsilon introduces expanded valuation, risk, analytics, and accounting capabilities within the core ETS platform. The platform now supports financial institutions across the full lifecycle of capital markets activity, from trade origination and lifecycle management through valuation, risk management, accounting, and hedge accounting.

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ETS is designed as a structured operational environment that connects workflows, analytics, accounting processes, and data infrastructure within a single framework, providing a complete front-to-back solution supporting end-to-end capital markets operations.

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The continued development of ETS reflects Epsilon Technologies Group’s broader strategy of building a modern capital markets platform focused on workflow integration, data management, analytics, and automation, while allowing institutions to integrate with existing systems and data environments.

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Yuma AI Launches Ask Yuma: A Conversational AI to Manage eCommerce Support Operations

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Ecommerce brands can now build automations, investigate issues, and generate reports by talking to their AI platform in plain English

Yuma AI, the AI agent platform for ecommerce customer support, announced the launch of Ask Yuma, a conversational interface that lets merchants manage their entire support automation through natural language.

CX teams shouldn’t have to become platform experts to get the most out of their automation. With Ask Yuma, you just tell it what you need. The platform does the rest.”

— Guillaume Luccisano, CEO & Founder

Ask Yuma is built into every page of the Yuma dashboard. It has full access to a merchant’s tickets, automations, knowledge base, performance metrics, integrations, and brand voice. Instead of navigating settings or waiting for support, CX teams can now build, investigate, and optimize their automation in real time by simply asking Yuma.

“We started building on OpenAI’s Davinci model in late 2022, generating draft replies for merchants,” said Guillaume Luccisano, Founder and CEO of Yuma AI. “By 2023 we had autonomous AI agents handling tickets in production. 3 years and millions of customer conversations later, we realized the automation itself wasn’t the bottleneck anymore. Configuring it was. Ask Yuma fixes that.”

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Ask Yuma gives CX teams capabilities that previously required deep platform expertise or vendor assistance. Upload an SOP of any length and Ask Yuma will read it, ask clarifying questions, generate a visual flowchart, and produce a ready-to-deploy automation in a single conversation.

It analyzes escalated tickets to surface automation opportunities, ranks them by impact, and links to real examples for verification.

When a ticket is handled incorrectly, Ask Yuma traces the root cause through the merchant’s configuration and recommends a fix. It can search through thousands of tickets to generate downloadable reports on product defects, complete with images, ready to share with executive teams or manufacturers. CX leaders can track automation rates, CSAT trends, and unusual spikes in plain English instead of building dashboards.

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Ask Yuma consolidates several previously standalone features, including Deep Search, Ask Why, Insights, and Weekly Product Defect Reports, into a single conversational interface.

With Ask Yuma we upgraded our merchants to a self-Improving AI platform that goes beyond configuration. It actively identifies improvement opportunities, proposes plans, requests merchant approval before making changes, implements fixes, tests them in a sandbox environment, and verifies results. This creates a continuous improvement loop where the platform helps merchants optimize their automation over time.

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123RF Launches Global Creative Operating System, Sphere to Streamline Marketing Workflows

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McCrossen Marketing Launches AI-Powered Marketing Intelligence Platform, Defining a New Category for Business Marketing

Sphere by 123RF

AI-powered platform unifies campaign planning, production, publishing, and analytics for enterprises and agencies worldwide

123RF announced the global launch of Sphere, its creative operating system, a platform designed to address inefficiencies in modern marketing teams by consolidating fragmented tools and workflows into a single environment.

The platform integrates campaign planning, creative asset production, publishing, and performance reporting all powered by AI-assisted automation while keeping human creativity at the center.

123RF is a global creative content platform offering millions of royalty-free images, videos, and creative assets to empower marketers, agencies, and creators worldwide.

“Marketing teams today are switching between too many tools and losing valuable time,” said Bernardine Michael, Chief Marketing Officer of 123RF. “Sphere is not another point solution. It’s infrastructure that connects the entire creative workflow, from brief to performance.”

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According to early beta users, the platform helped reduce campaign turnaround times by up to 80%, increased collaboration visibility, and enabled teams to consolidate multiple SaaS subscriptions.

Sphere’s system leverages AI to automate repetitive tasks such as asset formatting, multi-channel adaptation, and report generation while allowing humans to maintain creative control.

“Automation without orchestration can create chaos,” said Jack Sen, CEO of 123RF. “Sphere ensures that campaigns move seamlessly from ideation to execution while keeping teams aligned.”

Sphere is tailored to the needs of enterprises running complex, multi-region campaigns and agencies managing multiple clients. Features include:

1. Centralized dashboards for asset management and organic campaign tracking
2. Role-based access and governance controls in the pipeline for distributed teams
3. Scalable architecture for global collaboration

“Our goal was to provide operational clarity without compromising creativity,” added Phoebe Liew, Chief Technology Officer of 123RF. “Teams can now focus on ideas and strategy rather than firefighting through fragmented workflows.”

With AI adoption growing rapidly, many companies are adding tools without solving the root problem of workflow inefficiency. Sphere addresses this gap by providing an integrated, scalable system that unites planning, production, and analytics which is one of the firsts for the global creative technology landscape.

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Sphere is available immediately to enterprise clients and agencies worldwide. A broader rollout, including additional features and integrations, is planned for later this year.

123RF is a global creative content platform offering millions of royalty-free images, videos, and creative assets to empower marketers, agencies, and creators worldwide. Sphere by 123RF is a creative operating system designed by 123RF to simplify, accelerate, and unify marketing and creative workflows. The platform combines AI-powered automation with human-led creative oversight, enabling teams to produce more, faster, and with greater impact. Sphere is headquartered in Southeast Asia and serves clients across enterprise and agency sectors globally.

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Simaia Launches ‘AI Search on Autopilot’ to Help APAC B2B Companies and Startups Capture LLM Traffic and Convert Leads

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Simaia Launches 'AI Search on Autopilot' to Help APAC B2B Companies and Startups Capture LLM Traffic and Convert Leads

Simaia announced its public launch as an AI marketing team for B2B small and medium enterprises (SMEs) and startups across the Asia-Pacific region. Simaia replaces the need to build, hire, and manage an in-house marketing function – handling everything from AI search visibility across ChatGPT, Google Gemini, Perplexity, and Claude to converting that visibility into identified, contactable leads.

As B2B buyers increasingly use AI search to find suppliers and solutions, traditional customer acquisition channels – trade exhibitions, outbound sales, paid ads, and conventional SEO – are delivering diminishing returns. Simaia addresses both sides of this problem. At the top of the funnel, it executes prompt simulation and frequency analysis to map exactly how LLMs cite sources, then builds and publishes AI-native content formatted specifically for machine digestion. At the bottom of the funnel, website visitor identification is used to capture the names, emails, phone numbers, and LinkedIn profiles of visitors arriving from AI search – turning anonymous traffic into contactable leads.

Clients complete an onboarding process that takes under 30 minutes. From that point, Simaia operates as their marketing team – prompt research, content strategy, distribution, and lead identification are all executed on their behalf, requiring no internal headcount or day-to-day management.

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“We built Simaia because we saw companies spending six figures a year on trade shows, ad campaigns, and marketing hires that were producing fewer and fewer results,” said Ryan Wan, CEO of Simaia. “They don’t need another tool. They need an entire marketing team that understands AI search, executes daily, and delivers real leads. Companies need to leverage AI search traffic to replace traditional ineffective lead sources. Simaia is an AI marketing team that replaces the entire process, faster, better and at a fraction of the cost.”

An Iterative Feedback Loop for LLM Visibility
Unlike traditional content generation, Simaia operates on a continuous, data-driven feedback loop. The system establishes a baseline for a company’s “Appearance Rate” and “Citation Rate” across different LLMs. It then simulates the specific prompts potential buyers are using, identifies the exact sources (such as Reddit or industry forums) that each LLM trusts, and targets those channels with optimized content.

Marketing Technology News: The ‘Demand Gen’ Delusion (And What To Do About It)

Performance is continuously measured against the baseline, allowing the system to iteratively adjust its strategy to hit growth targets in visibility and lead volume over time.

Beta Launch Results
Prior to its public launch, Simaia ran an Early Access Pilot with B2B manufacturers, service companies, and startups across Asia. Results were recorded within a two-month timeframe.

One Hong Kong-based client recorded a 6x increase in AI-driven traffic, a 2x increase in total inbound website visitors, and 2.5x more leads. Global textile supplier Sungil Tex saw its inbound lead volume increase from one lead every three months to an average of eight per month, within three months. Simaia published optimized content in targeted channels, contributing to a 24x year-over-year surge in AI bot visits to its website.

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ActivTrak Launches AI Insights to Give Leaders a Clear View of How AI Changes Work

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ActivTrak Launches AI Insights to Give Leaders a Clear View of How AI Changes Work

New capabilities connect AI usage to productivity, capacity and business performance — helping organizations understand what’s actually working

ActivTrak announced AI Insights, a new set of work intelligence capabilities that gives organizations a clear, data-driven view of how AI is used across the business — and whether it’s driving meaningful results.

As companies rapidly deploy AI tools, most still rely on fragmented, tool-level data to track usage. This makes it difficult to see how AI influences workflows, productivity and overall performance.

AI Insights address this gap by unifying behavioral data captured continuously at scale across people, applications and AI tools. The result is a system-level view of AI adoption — helping leaders understand where AI is used, how it’s reshaping work and where it’s creating value.

“Work has fundamentally changed. It’s now people and AI, side by side, sharing tasks in ways that were hard to anticipate two years ago,” said Heidi Farris, CEO of ActivTrak. “But organizations still lack a clear way to measure what that shift actually means. ActivTrak work intelligence gives leaders a complete, objective view of AI adoption and impact — from early usage patterns to real business outcomes.”

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What AI Insights Deliver

AI Insights provide a system of record for AI adoption and its effects across five core areas:

  • AI Usage Measurement: Understand which AI tools are used, by whom and how often — establishing a reliable baseline of AI activity across teams and roles.
  • AI Governance & Compliance: Identify approved and unapproved AI usage to support policy enforcement and reduce risk from unsanctioned tools.
  • AI Adoption Maturity & Benchmarking: Track how individuals and teams progress from experimentation to consistent workflow integration, enabling more targeted enablement and change management.
  • AI Productivity Impact: Connect AI usage to changes in productivity, capacity and utilization — revealing where AI reduces manual effort, accelerates task completion and frees up time for more strategic activities.
  • AI Optimization & ROI: Identify underutilized tools, adoption gaps and opportunities to refine or expand AI investments — helping leaders prioritize spend, reallocate resources and scale the tools that deliver the strongest business results.

Marketing Technology News: The ‘Demand Gen’ Delusion (And What To Do About It)

According to the ActivTrak Productivity Lab’s 2026 State of the Workplace report, AI tool adoption has grown rapidly. The average organization used two AI tools in 2023 and seven by 2025, with 83% of organizations using six or more. Yet most cannot measure whether that investment is paying off.

“Most organizations are making AI decisions without a clear understanding of what’s actually changing,” said Javier Aldrete, Chief Product Officer. “They’re scaling tools without knowing what’s working. What’s needed is a behavioral baseline that shows where AI is used and where it delivers value. That’s what makes smarter decisions possible.”

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Nectar Social and Reddit Announce Strategic Data Partnership

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Nectar Social and Reddit Announce Strategic Data Partnership

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This partnership brings Reddit’s authentic community conversations into Nectar’s AI-native social commerce platform, enabling brands to build social proof and engage audiences across social and AI-powered discovery

Nectar Social, an AI-native social commerce and community management platform, and Reddit announced a strategic data partnership. Through this partnership, Nectar gains access to Reddit’s Data API, enabling enterprise brands to gain deep insight about products, trends, and sentiment from real human conversations happening across Reddit’s 100,000+ interest-based communities.

Reddit is one of the most influential sources of consumer insight on the internet. Its communities shape how people discover, evaluate, and recommend products and brands. These conversations represent one of the strongest forms of modern social proof, offering unfiltered, experience-driven recommendations that consumers deeply trust. As consumers shift to AI-powered discovery through new tools, community dialogue is becoming a primary input into what brands surface and how they are framed.

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“This partnership gives our customers the ability to understand in real-time what is being said about their brand, identify the right moments to engage, and build the kind of authentic social proof that drives both discovery and conversion,” said Misbah Uraizee, CEO and Co-Founder of Nectar Social.

Reddit data integrates directly into Nectar’s unified platform

Through Reddit’s Data API, Nectar customers gain access to insights from real-time conversations across Reddit’s communities. Reddit data integrates directly into Nectar’s unified platform alongside Instagram, TikTok, Facebook, YouTube, X, and more, providing brands with a comprehensive view of how they are perceived across the social landscape. Nectar automatically surfaces relevant discussions, emerging trends, and sentiment shifts, transforming community conversations into actionable intelligence that informs product, marketing, and customer experience decisions down to the SKU-level.

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“What sets Reddit apart is the depth and authenticity of its conversations,” said Farah Uraizee, CTO and Co-Founder of Nectar Social. “Brands need to understand what people are saying and when it matters, not just that they are talking. Nectar helps brands maintain a continuous pulse on these discussions and show up in the moments that shape perception.”

The Strategic Importance of Authentic Conversation

As consumers increasingly turn to communities for unfiltered product recommendations and brand experiences, the conversations happening on Reddit have become a powerful form of social proof. For brands, competing in categories from beauty to beverage to consumer electronics, maintaining visibility and credibility within these communities is now a strategic imperative.

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BBT Drives 20% Year-Over-Year ARPU Gains Through Experience-First Growth With Calix

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BBT Drives 20% Year-Over-Year ARPU Gains Through Experience-First Growth With Calix

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BBT leverages their investment in the Calix One platform, guided by Calix Success, to launch residential value-based offers that are driving ARPU growth while accelerating their small business expansion with SmartBiz

Calix, Inc. announced BBT drove 20 percent year-over-year growth in average revenue per user (ARPU) by leading with personalized residential experiences—quickly followed by an expansion to serve small businesses. This revenue growth was achieved thanks to their investment in the Calix One™ platform and the award-winning expertise of the Calix Success™ organization. Building on this early residential success with value-based offers built on Calix SmartHome™ and subscriber insights from Calix Engagement Cloud, BBT rapidly deployed Calix SmartBiz™ in just four months to meet initial demand from small businesses in West Texas.

“When teams align around what subscribers actually need—and have the insights to act on it—growth and increased revenue follow naturally. The Calix One platform helps make that shift possible,” said John Durocher, chief operations officer at Calix.

As BBT continues to simplify service delivery and modernize operations, they are also evaluating additional Calix capabilities—including the Calix Agent Workforce™—to further scale Calix SmartLife™ managed services like SmartHome and SmartBiz and support more consistent execution across service and support teams.

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Rusty Moore, general manager and chief operations officer at BBT, said: “Speed alone wasn’t telling our story or our value. With Calix, we changed the conversation to what subscribers can do with their Wi-Fi and how that connectivity fits into their everyday lives. The results were immediate. Our top residential package became the most popular, and we carried that same mindset over to rural small businesses, where security and visibility are top priorities. That confidence is now shaping how we think about extending secure connectivity into the community with Calix SmartTown® and strengthening how our communities connect.”

With SmartLife and the Calix One platform, BBT has transformed their business across residential, small business, and operations by:

  • Turning personalized experiences into measurable ARPU growth. By aligning value-based offers to how subscribers live, BBT accelerated residential adoption, with “Work & Play” emerging as their most popular offer.
  • Extending the same value-based approach to small businesses. Backed by a dedicated business team and Calix GigaSpires® reaching more than half of their small business market, SmartBiz enabled BBT to meet early demand and continue scaling adoption.
  • Translating subscriber insights into targeted engagement with Calix Success. Using data from Engagement Cloud, BBT identified subscribers who would benefit from higher-value experiences and focused outreach to drive adoption of the CommandIQ® mobile app.
  • Applying operational insights to scale efficiency. Calix Business Insights helped BBT identify operational gaps and implement improvements, including GigaSpire upgrades during trouble calls and streamlining subscriber acquisition and support.

Guided by Calix Success, BBT aligned leaders, teams, and messaging around a clear, data-backed go-to-market strategy—including audience targeting, digital optimization, and frontline enablement. These improvements helped BBT simplify subscriber interactions and build a repeatable growth model.

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John Durocher, chief operations officer at Calix, said: “BBT’s success reflects what we consistently see when providers focus on delivering clear value to their subscribers. When teams align around what subscribers actually need—and have the insights to act on it—growth and increased revenue follow naturally. The Calix One platform helps make that shift possible, so communications service providers can scale results without adding complexity and deliver better experiences for their subscribers.”

Discover how SmartLife and the Calix One platform help communications service providers deliver experiences that subscribers value and turn that value into growth across residential and small business markets.

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Canva Acquires Simtheory and Ortto, Boosting AI and Marketing Power

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Canva Acquires Simtheory and Ortto, Boosting AI and Marketing Power

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Canva, the world’s leading visual communication platform,  announced the acquisitions of Simtheory, an AI collaboration and agent management platform, and Ortto, a customer data and marketing automation company, as part of its continued investment in artificial intelligence and marketing infrastructure.

These additions will expand how Canva powers the full workflow from early ideas through to campaign scaling and measurement.

Together, the acquisitions bring complementary strengths across agentic AI, data infrastructure, marketing automation, and customer engagement, accelerating Canva’s ambition to move beyond a design tool and become the system where teams do all of their work from start to finish. These additions will expand how Canva powers the full workflow from early ideas through to campaign scaling and measurement.

Both companies were founded by Chris and Mike Sharkey, previously founders of Stayz, which was acquired by Fairfax Media. They will join Canva in leadership roles across the company’s AI and marketing technology teams.

“We’re excited to welcome Simtheory and Ortto to Canva. They’ve built exceptional teams and technology, and this acquisition marks an important step toward evolving Canva from a design tool into the system where work happens end-to-end, whether it’s a quick idea or a full campaign,” said Cliff Obrecht, Co-Founder and Chief Operations Officer at Canva.

“Simtheory accelerates our evolution from a design platform with AI tools to an AI platform with design and productivity tools at its core. We’re excited to share some of our early work together at Canva Create on April 16, where we’ll unveil the biggest transformation in Canva’s history, reimagining the process of creation, just as we did a decade ago. At the same time, Ortto strengthens our ability to power the entire marketing and content lifecycle through Canva Grow, from planning and creating to publishing and optimising across every channel. This builds on our recent acquisitions of MagicBrief, MangoAI and Doohly, and we’ve only scratched the surface of the opportunity here,” he added.

Simtheory: Every AI Workflow, One Platform


AI has made it easier than ever to get started, but generating something is only one step in a much bigger process. For most knowledge workers, bringing an idea to life is still too complex and disconnected, spread across too many tools, tabs, and workflows.

Simtheory was built to simplify that. Its platform enables teams to think and work with AI, making it easy to build assistants that understand their business, collaborate across tasks and apps, and take on real work with the control and reliability enterprises need.

Known for its work in AI-powered collaboration and multi-model systems, Simtheory allows teams to apply the latest models across a wide range of use cases, and easily set up agentic systems that meet their needs. Since launching, it has quickly gained traction among teams exploring how AI can move beyond generation into execution.

The acquisition lays the groundwork for Canva’s evolution into the system where humans and AI collaborate to go from idea to finished product, which the company will unveil at Canva Create on April 16.

Ortto: Powering the Marketing Lifecycle


Marketing teams today are expected to do more than ever. The average marketer is now creating, launching, and optimising campaigns across an expanding number of channels, often using fragmented tools and disconnected data. Ortto brings these workflows together.

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Ortto combines a customer data platform with powerful marketing automation, enabling teams to design and orchestrate journeys across email, SMS, push notifications, in-app messaging, forms, and surveys, all within a single system.

With an event-driven architecture and no-code integrations, Ortto makes it easy to connect and activate customer data in real time, helping teams deliver more personalised and effective campaigns at scale. The platform is trusted by more than 11,000 customers across 190 countries.

The acquisition strengthens Canva Grow and builds on Canva’s recent additions of MagicBrief, MangoAI, and Doohly, accelerating its ability to power the full marketing and content lifecycle, from ideation and creation through to deployment, measurement, and optimisation.

The Ortto team will continue to support and maintain the Ortto product while bringing their expertise to Canva Grow.

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“We’re thrilled to be joining Canva. The opportunity to bring our technology to the quarter of a billion people using Canva every month and to help more people make the most of AI in their everyday work is incredibly exciting to us. It’s rare to find such strong alignment in mission and values,” said Mike Sharkey, Co-Founder and Chief Executive Officer of Ortto and Simtheory.

“From day one, we’ve been working to make complex things simple with both Simtheory and Ortto, and we can’t wait to continue doing that on an even larger scale as part of Canva,” he added.

Today’s announcement reflects Canva’s continued momentum and long-term focus on building a platform that supports every stage of the process of creation, now used by more than 265 million people each month.

The announcement comes ahead of Canva Create on April 16, where Canva will unveil its next major step forward, and the biggest evolution in its history, as it reimagines how the world creates.

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MediaRadar Launches the First Market-Level View of the Advertising Ecosystem for Media Owners

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MediaRadar Launches the First Market-Level View of the Advertising Ecosystem for Media Owners

Building on MediaRadar’s Competitive and Commercial Intelligence solutions, the new Market Intelligence offering delivers a strategic market view for modern media organizations.

MediaRadar announced a major expansion of its intelligence suite, introducing the first comprehensive market-level view of the advertising ecosystem purpose-built for media owners. In an increasingly fragmented and fast-moving media landscape, the new Market Intelligence solution equips media sellers with the strategic visibility needed to align growth strategy with where advertising dollars are actually moving.

As advertising investment shifts across streaming, digital, social, and traditional channels, media organizations face mounting pressure to interpret market signals quickly and translate them into revenue action. Yet most media teams still rely on siloed reports, static benchmarks or backward-looking snapshots of spend.

MediaRadar’s Market Intelligence changes that dynamic by delivering a real-time, top-down view of advertising investment across industries, categories and channels — giving leadership teams a clearer understanding of growth sectors, emerging threats and whitespace opportunity.

“For years, media sellers have had access to data but not perspective,” said Matthew Krepsik, CEO of MediaRadar. “What they’ve needed is a market-level lens: a way to see how advertising dollars are flowing across the ecosystem and what that means for their competitive position and revenue strategy. This launch delivers that strategic command view.”

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From Market Visibility to Revenue Strategy

The new Market Intelligence solution, especially powerful alongside MediaRadar’s existing intelligence capabilities, is designed to support decision-making across the modern media organization:

  • Market Intelligence delivers real-time visibility into where advertising investment is accelerating, contracting or shifting across channels, industries and advertiser segments. It enables executives to identify growth sectors and shape long-term strategy with confidence.
  • Competitive Intelligence provides clarity into share of wallet, positioning and category dynamics. It equips research and strategy teams to benchmark performance and refine go-to-market priorities.
  • Commercial Intelligence converts market and competitive signals into prioritized advertiser opportunity. It empowers revenue teams to focus on the accounts most aligned with market momentum.

Together, these capabilities create a continuous line of sight from macro market shifts to direct revenue action, narrowing the gap between insight and execution.

Validated By Industry Leaders

The expansion follows a four-month pilot with leading media and technology partners. Several participants are continuing their collaboration with MediaRadar as part of the company’s Early Adopters Program, helping to refine product capabilities, validate emerging use cases, and shape how modern media organizations operationalize market-level advertising intelligence.

Early results highlight how access to market-level visibility is already changing how revenue teams operate.

“Understanding an advertiser’s promotional focus at a glance is incredibly powerful,” said Tara Rohde, Senior Sales Director at SiriusXM. “It allows us to time our outreach strategically and build pitches that align with where their investment and messaging are headed, not where they’ve already been.”

For revenue teams, this translates into more precise prioritization and more proactive engagement with advertisers based on where growth is emerging.

“Seasonal patterns add another layer of strategic insight,” added Rohde of SiriusXM. “Being able to see when advertisers historically ramp up investment helps us anticipate demand, prepare smarter proposals, and engage brands at the moments that matter most.”

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Built for the Modern Media Organization

Unlike point solutions designed to serve a single function, MediaRadar’s expanded intelligence suite supports cross-functional alignment across executive leadership, research, RevOps and sales teams.

Powered by MediaRadar’s universal brand identity system and shared data foundation, the Market Intelligence solution integrates with the MediaRadar Data Cloud — enabling organizations to activate advertising intelligence within enterprise data warehouses, analytics environments and AI systems. Whether accessed through the platform or embedded directly into enterprise infrastructure, media owners can operationalize market signals at scale.

As the advertising landscape continues to evolve — from streaming sports and retail media networks to social commerce and local digital expansion — MediaRadar provides the clarity needed to compete with confidence.

Establishing a New Standard for Media Seller Intelligence

With the introduction of Market Intelligence, MediaRadar establishes a new standard for how media owners interpret advertising markets and translate signals into strategy. Flexible packaging options allow organizations to deploy market, competitive or commercial intelligence based on their business priorities.

“This marks a pivotal moment for media sellers,” said Krepsik. “When you can see the market clearly, understand your competitive position and align your revenue teams around real-time opportunity, growth becomes more intentional and more predictable.”

To support the next phase of development, MediaRadar is inviting a select group of media organizations to participate in its Market Intelligence Early Adopters Program. Founding participants will collaborate directly with MediaRadar’s product and data teams to help shape how market-level advertising intelligence is operationalized across research, strategy and revenue organizations.

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EveryDev.ai Launches a Free, Developer-Run Home for AI Builders

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Robutler Launches Unified Infrastructure Platform for AI Agent Commerce

1,800+ AI developer tools, side-by-side comparisons, trending topics, weekly digests, and a growing developer community

EveryDev.ai, a free, developer-run platform for people building with AI, launched on Product Hunt this week after cataloging more than 1,800 AI developer tools and growing to over 1,000 users through early organic growth.

With AI, everyone is a dev. EveryDev.ai is where people building with AI discover tools, compare them, and learn from each other.”

— Joe Seifi, Founder of EveryDev.ai

EveryDev.ai was built to solve a simple problem: the AI tooling ecosystem is moving faster than most developers can realistically track. New models, frameworks, coding assistants, APIs, and infrastructure tools appear constantly, while research is scattered across blog posts, Reddit threads, social posts, and vendor marketing pages.

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The platform brings that research into one place. Developers can browse the AI developer tools directory, compare tools side by side, track trending topics, read ratings and reviews, follow discussions, and keep up through weekly digests and a daily news feed.

“I built EveryDev.ai because the AI tooling space was getting harder and harder to keep up with,” said Joe Seifi, founder of EveryDev.ai. “With AI, everyone is a dev, but there still wasn’t a clear, trusted place to discover useful tools, compare them, and learn from what other builders are actually using.”

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Seifi built EveryDev.ai as a solo, bootstrapped project after spending most of his career in tech at companies including Apple, Disney, Adobe, and Zillow. The platform has grown through word of mouth, with a community of developers using it to discover tools, share what they are building, and follow changes across the AI development ecosystem.

In addition to letting developers compare AI developer tools, EveryDev.ai includes developer profiles, community reviews, threaded discussions, trending topic tracking, curated weekly news coverage focused on AI development, and community coding contests.

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quantilope Launches ‘Ad Optimizer’: Leveraging AI to Bridge the Gap Between Creative Intuition and Brand Strategy

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quantilope Launches 'Ad Optimizer': Leveraging AI to Bridge the Gap Between Creative Intuition and Brand Strategy

quantilope, the leading provider of automated consumer insights, announced the launch of its Ad Optimizer, a sophisticated AI-driven research solution designed to help brands refine their advertising strategies and maximize ROI before they go to market.

In an era where consumer attention is fragmented and media budgets are under increasing scrutiny, quantilope’s Ad Optimizer provides marketers with a scientifically rigorous, automated framework to evaluate their creative concepts. By integrating advanced research methodologies with the platform’s speed and ease of use, the tool ensures that every ad campaign is grounded in deep consumer understanding.

The Ad Optimizer empowers marketers and insights professionals to upload creative assets for an AI-driven frame-by-frame analysis of on-screen imagery and its accompanying audio. The tool’s analysis is based on the presence and consistency of Category Entry Points (CEPs): the specific needs, occasions, or situations that trigger consumers to think about a product category and the brands within it. By mapping assets against user-provided CEPs, the tool highlights exactly where an ad successfully triggers key buying motivations — and where it falls short. With actionable suggestions to bridge these gaps, brands are left with a clear roadmap to refine their messaging, capture consumer motivations, and maximize brand saliency in a crowded marketplace.

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“Advertising only works if it activates the right Category Entry Points — the cues and triggers that drive category decisions. Our Ad Optimizer gives brands a way to see early in the creative process, before a campaign goes live, whether their creative is actually building the Mental Availability that translates into purchase — and where to sharpen it if it isn’t,” says Jannik Meyners, Vice President of Data Science & AI at quantilope.

Key Features and Benefits of quantilope’s Ad Optimizer Include:

  • Holistic creative evaluation: Analyzes an ad’s visual components and accompanying audio by measuring the presence and consistency of Category Entry Point messaging.
  • Rapid speed-to-insight: Delivers comprehensive results in a fraction of the time of traditional research methods, enabling brands to iterate and optimize before their campaign goes live.
  • Intuitive visualization: Provides easy-to-interpret dashboards that highlight clear “areas for improvement,” making it simple for stakeholders to act on the data.

Marketing Technology News: From Data to Impact: How AI is Transforming Interactive CTV Ads

As Peter Aschmoneit, quantilope CEO and Co-Founder, adds:

“The launch of our Ad Optimizer marks a significant expansion of quantilope’s end-to-end Consumer Intelligence Platform. It bridges the gap between creative intuition and data-driven precision, ensuring that brands no longer have to choose between moving fast and being right.”

The Ad Optimizer is the latest addition to quantilope’s brand growth system. It works in harmony with quantilope’s other platform research solutions to offer a new layer of insights and drive strategic growth.

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Gen Alpha Leads Shift to AI-Powered Entertainment Search, Discovery and Recommendations

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Gen Alpha Leads Shift to AI-Powered Entertainment Search, Discovery and Recommendations

New Gracenote study finds behavioral change well underway, but trust in AI-generated results has not kept pace

Gracenote, the content intelligence business unit of Nielsen, has examined how AI is changing the ways people find and watch entertainment content in a new report titled “TV Search and Discovery in the AI Era.” As adoption of AI-powered entertainment experiences grows — especially among older Gen Alpha respondents (ages 13 and 14) — trust in chatbot-generated responses to content-related queries is lagging.

Gracenote found that usage of chatbots for a range of purposes is gaining traction across generations, with 66% reporting increased use over the past 12 to 18 months. Among Gen Alpha, that figure rises to 80%, and more than half say they use chatbots daily.

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That momentum is already shaping how this group discovers entertainment. When asked to name the best source for TV and movie recommendations, 49% of Gen Alpha chose web- and app-based AI chatbots, topping streaming and cable service user interfaces and program guides (41%) and internet search engine results (11%). The trend extends beyond Gen Alpha: 57% of all respondents said these tools could become, or already are, their favored way to get information on why, where and when to watch content.

At the same time, the data points to a growing divide between AI’s utility and users’ trust in its results. Respondents prefer chatbots over traditional search for complex questions (68% vs. 19%), follow-up questions (69% vs. 18%), direct answers (54% vs. 31%) and comprehensive results (50% vs. 30%). Traditional search, however, still leads on trustworthiness (50% vs. 27%) and accuracy (46% vs. 33%).

“People are rapidly embracing AI as a new way to search, discover and decide what to watch, especially Gen Alpha audiences, who already expect easy-to-use, conversational interfaces,” said Tyler Bell, SVP of Product at Gracenote. “But adoption alone is not the story: trust is. The winning platforms will be those that can deliver viewing experiences people can actually rely on — grounded in vetted, timely and high-quality data.”

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Skepticism regarding the accuracy of AI-generated results remains high, with three in four respondents saying they verify chatbot responses, mostly by cross-checking with internet search. That same caution carries into entertainment-specific use cases, such as content recommendations and program availability. While 92% of those surveyed rated internet search accuracy for entertainment as good or excellent, 85% said the same of AI. Notably, among Gen Alpha, the gap nearly vanishes, with 95% rating chatbot results favorably versus 99% for traditional search. Across the study, chatbots were trusted most for TV and movie recommendations (26%) and for helping users find TV, movie and sports programming (25%).

Gracenote’s report comes as entertainment providers face mounting pressure to improve discovery in an increasingly fragmented content landscape. As libraries expand across services and platforms, audiences are spending more time choosing what to watch and placing greater value on tools that deliver immediate, accurate and relevant answers.

For streamers, device makers and media companies, the message is clear: helping audiences find programming faster and act on recommendations with confidence will depend not just on AI interfaces, but on the quality of the data powering them.

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