EverString Data Platform Unveiled for Greater Agility in B2B Marketing, Sales, and Ops

EverString Data Platform Unveiled for Greater Agility in B2B Marketing, Sales, and Ops

Everstring’s Data Platform Will Solve the Problems Arising from Bad Data Flowing into Machine Learning and Analytics Systems or Directly to Front-Line Sales and Marketing Users

Leading B2B predictive analytics and sales intelligence platform, EverString, launched the EverString Data Platform. The Platform would set a new standard for clean, reliable data that is constantly refreshed, improved, and expands, in real time. The platform is designed to give B2B sales, marketing, operations, and advanced analytics teams detailed company intelligence, the ability to move with greater speed, and the confidence to land more valuable deals.

Sans Coverage, Accuracy, and Depth of Data, Why Do Go-to-Market Efforts Suffer? 

JJ Kardwell, CEO and co-founder of EverString
JJ Kardwell, CEO and Co-founder, EverString

At the time of this announcement, JJ Kardwell, CEO and Co-founder of EverString, said, “We’ve learned through our experience working with hundreds of global companies that for sales, marketing, operations, and analytics teams to achieve meaningful results from their data, they need coverage, accuracy, and depth. Without all three, performance is strained and go-to-market efforts suffer.”

JJ added, “Machine learning and AI can be very powerful, but results won’t be optimal if the data going into these systems is low quality. When bad data is flowing into machine learning and analytics systems or directly to front-line sales and marketing users, teams waste a lot of time compensating for data problems.”

The EverString Data Platform covers the largest number of companies, delivers the highest accuracy, and uncovers the greatest depth of signals per company by using artificial intelligence (AI), machine learning, and a proprietary Human-In-The-Loop (HITL) system. The result is data that is living, up to date and actionable.

EverString Data Platform
EverString Data Platform

The Origin of EverString Data Platform

Kardwell narrated the vision behind launching the new Data Platform. JJ stated, “My co-founder and I both worked in field sales roles before starting EverString. We struggled with the same data challenges that plague every B2B go-to-market organization. We started the company to make prospect qualification and pipeline growth easier through automated data science and data.”

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He continued, “Legacy data solutions are hamstrung because they rely solely on humans to clean their data, creating databases that offer either broad coverage with low accuracy, or high accuracy for only a small set of companies.

EverString Data Platform captures tens of thousands of unique signals per company, ingests data from any and all data sources, creates new data through machine learning, keeps data current by continuously scouring the web, and cleans data with the AI-enabled output of more than 1,000,000 human workers.”

With the new platform, users no longer have to choose between data coverage and accuracy. Legacy solutions are hamstrung because they rely solely on humans to clean their data, creating databases that offer either broad coverage with low accuracy, or high accuracy for only a small set of companies.

Recommended Read: Interview with Deborah Holstein, CMO, EverString

Matching AI-enabled Output from the EverString Data Platform will Take More than 1,000,000 Skilled Humans!

The EverString Data Platform captures tens of thousands of unique signals per company, ingests data from any and all data sources, creates new data through machine learning, keeps data current by continuously scouring the web, and cleans data with the AI-enabled output of more than 1,000,000 human workers.

The EverString Data Platform captures tens of thousands of unique signals per company, continuously scours the web, and cleans data with the capacity of over a million humans.

The new EverString platform is designed to help businesses instantly map and prioritize their total addressable market and quickly pull in companies that should be prospects but aren’t yet in their database. To ensure that businesses have the insights they need to outpace the competition, achieve their growth goals, and increase productivity, the EverString Data Platform automatically identifies problematic data and applies its Human Intensive Task (HIT) system to ensure record-level accuracy and to fuel deep learning to improve system-wide accuracy.

Read More: AI + Humans Is the Perfect Recipe for B2B Growth

Kardwell added, “It’s easy for AI products to lose trust because many don’t do what they promise. The EverString Data Platform is designed to be as smart, trustworthy, and indispensable as your favorite search engine.”

Further, JJ explained, “Non-linear improvements in data reliability have been made possible through the combination of machine learning and automated systems for distilling the collective intelligence of humans.”

The platform has multiple uses for sales, marketing, and operations teams–

– Accelerated Pipeline Creation – Rapidly build closeable pipeline at scale

– AI-Assisted Prospecting – Find relevant prospects in seconds rather than hours

– Intent Monitoring – Identify companies that are actively researching your products, services, and competitors

– Database Expansion – Grow your database with net-new, high-fit prospects

– Pipeline Prioritization – Focus your team’s time and resources on the prospects that matter most

– Sales and Account Intelligence – Access insights, contacts, firmographics, technographics, intent and more for every company

– Account-Based Marketing and Sales – Automate target account selection, and customize outreach

– Total Addressable Marketing Mapping – Discover relevant companies that aren’t in your database, but should be

Account view in EverString Data Platform
Account view in EverString Data Platform

Recommended Read: Davos 2018: Key Takeaways That Compel Us to Think—What’s Next?

Picture of Sudipto Ghosh

Sudipto Ghosh

Sudipto Ghosh is a former Director of Content at iTech Series.

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