Zylotech Cited in the Gartner Hype Cycle for Digital Marketing and Advertising, 2019 and the Gartner Hype Cycle for IT in GCC, 2019

Zylotech, the self-learning customer data (CDP) platform company, announced it has been cited as a Sample Vendor in both the Gartner Hype Cycle for Digital Marketing and Advertising, 2019 and the Gartner Hype Cycle for IT in GCC, 2019, in the category of Customer Data Platforms.

According to the Gartner Hype Cycle for Digital Marketing and Advertising, 2019, Gartner defines the CDP as, “A customer data platform (CDP) is a marketing system that unifies a company’s customer data from marketing and other channels to enable customer modeling, and optimize the timing and targeting of messages and offers.” According to the Gartner Hype Cycle for IT in GCC, 2019, “The Hype Cycle for IT in GCC presents a snapshot of technologies and services that CIOs should consider. The technologies and services included have direct impact on revenue generation, cost optimization, efficiency and/or quality improvement opportunities.”

Marketing Technology News: Alibaba.com Opens Platform to Empower US Small Businesses to Sell to the World

In both reports, Gartner describes the business impact of CDP as follows: “As marketers place increasing value on customer data modeling and personalization initiatives, the challenge to unify and manage customer data is more pressing than ever. The CDP helps marketers integrate and activate their first-party data. As the market matures, CDPs have the potential to become a system of record, transforming marketers’ ability to deliver consistent, targeted, contextually relevant experiences across channels.”

Zylotech is a self-learning B2B CDP

Zylotech is a self-learning B2B CDP that keeps customer data live and enriched for 1:1 personalization, cross/up-selling and retention marketing. Powered by automated machine learning, Zylotech’s platform continuously unifies ID level data, and enables ongoing micro-segmentation and recommendations, which can be activated through a variety of martech tools. The Zylotech CDP serves as a bridge across marketing, sales and customer success departments, a critical component of any B2B organizations’ revenue operations (RevOps) strategy, by providing a unified view of customers. This allows cross-functional teams to achieve greater agility, efficiency and consistency and also attain a common goal that will directly result in increased revenue and accelerated growth.

Marketing Technology News: Frankly to Acquire Leading Video Asset Management Platform Vemba to Expand OTT Multiscreen Video Solutions

Leading enterprise businesses and brands are already attaining measurable results with the Zylotech CDP.  Keurig, the leading ecommerce and store brand of coffee, is using the Zylotech CDP to reduce churn as well as improve its cross-sell and customer insights for target campaigns. To date, the company has realized a $15 million revenue increase as its customer churn hit industry lows. Staples, the major office supplies retailer has implemented the Zylotech CDP to increase customer retention and uncover numerous profitable micro-segments, experiencing a 4-time lift in campaign success with a 50 percent increase in product purchase per customer.

“We are excited to be included in these new Gartner Hype Cycle reports,” said Abhi Yadav, Co-Founder and CEO of Zylotech. “Data is at the center of building a successful RevOps strategy to transform the funnel and scale of customer interactions for marketing and sales. Zylotech’s self-learning CDP with advanced analytics is helping B2B companies align their processes towards optimizing engagement strategies and achieve quantifiable results today.”

Marketing Technology News: Quiq Raises $12.5 Million to Transform the Way Companies Engage with Customers

Brought to you by
For Sales, write to: contact@martechseries.com
Copyright © 2024 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.