ZineOne Recognized in Gartner’s 2020 Magic Quadrant for Personalization Engines
Innovative Provider in Consumer-Focused AI Personalization, ML, and Data Analytics Solutions
ZineOne, a leading provider of AI Personalization announced it has been positioned by Gartner in the Niche Players quadrant of the 2020 Magic Quadrant for Personalization Engines.
For this year’s report, Gartner identified the 14 personalization engine providers and evaluated them on 15 different criteria. Gartner recognized ZineOne for its completeness of vision and ability to execute. This is ZineOne’s first placement in the Magic Quadrant and the company was previously recognized in the May 2018 Cool Vendors CRM Customer Service and Support report.
“We believe these acknowledgments highlight our unique and innovative approach to helping our customers succeed with solutions designed to enhance the consumer journey for both brands and consumers,” states Debjani Deb, CEO, and co-founder of ZineOne. “Our mission to provide individualized digital customer experiences that foster loyalty and increase revenues, while maintaining profit margins is more essential than ever. We feel this recognition is validation that ZineOne continues to exceed our customers’ needs.”
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Why ZineOne feels it was included in the Magic Quadrant:
- Easily provides Business Users the ability to optimize existing offers in-the-moment to speed and increase conversion rates.
- Offers are uniquely tailored to each consumer with relevant, contextual content, i.e. instantly offers what they want relevant to who and where they are.
- Business users can follow customers across all devices to never lose a sale.
- Provides a personalized customer experience at ‘enterprise-scale’ to meet increasing traffic demands.
In addition to industry recognition, the company also received positive reviews from customers. On March 19, 2020, a Gartner Peer Insights reviewer wrote, “Vendor delivered what they promised 3 weeks earlier than the due date and provided 2x the ROI. All vendor teams (e.g., Sales, technical sales, executives, data scientists, and managers) were very professional, curious, and very knowledgeable of their respectable areas. The product is working as designed (and was highly customizable to our needs).”
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