See how you can win more customers and increase revenue with predictive engagement
Actionable predictive insights have yielded significant results for our retail customer:
- +$25 million annual incremental revenue growth
- 15-45% increase in conversion rate for targeted audience
- 1-3% increase in overall conversion rate
Schedule a meeting with us today to learn how you can identify and quantify lost revenue opportunities on your website, at no cost, and see what predictive engagement can do for you.
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ZineOne is recognized for its innovation and industry thought leadership in using Artificial Intelligence and Machine Learning for 1:1 in-the-moment engagement at scale.
ZineOne’s Intelligent Customer Engagement platform provides enterprise brands the power to offer consumers superior online shopping experiences continues its rapid growth:
- Via a real-time dashboard, ZineOne now allows brands to identify and quantify lost revenue opportunities on their website at no cost
- Series B Funding by Norwest Ventures Partners
- Debuts in Gartner’s 2020 Personalization Engine Magic Quadrant
Maximize Return on Your Site with Real-Time Offers
Watch the video to see how to:
- Predict purchase propensity in real-time
- Identify ‘on-the-fence’ shoppers
- Provide them with an incentive to purchase while they are still browsing
The Zineone ICE Platform is a versatile tool which enables us to deliver contextually relevant communication to our customers… The Zineone team has partnered very effectively with my organization in the process of integrating, testing and usage of the platform for digital marketing operations. Being a new startup, they are extremely agile and able to custom-develop the solution to meet our business requirements.
– ZineOne Customer, Head of Digital Marketing and Business
Mapping the Consumer Genome
Nikhil Chandurkar, Formerly of Kohl’s: Automating Retention Strategies in a World of Machine Learning
*Gartner Peer Insights reviews constitute the subjective opinions of individual end users based on their own experiences, and do not represent the views of Gartner or its affiliates.