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You’re busy. Don’t worry, these pieces below are designed to get to the point. Learn how top commerce brands use in-session marketing to get ahead in a privacy-first world.

The state of in-session marketing 2023: An ecommerce report

Download the state of in-session marketing 2023 ecommerce report to see retail trends and conversion data from leading brands.

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Case study: Fortune 500 automotive accessories retailer 

During their first month with in-session marketing, the retailer saw a 22% conversion rate lift for anonymous and a 46% conversion rate lift for known on-the-fence sessions.

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AI-based personalization provides 10%+ revenue uplift

In this case study, we delve into how ZineOne enabled a top 10 U.S. retailer to drive online conversions with personalized and relevant in-session marketing.

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Multi-brand retailer increases revenue from anonymous visitors

Multi-brand retailer increases conversions by up to 15% per visitor, even for anonymous visitors.

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Major department store chain boosts revenue with next-gen social proof strategies

A leading department store recorded $52 million in incremental revenue by proactively showing social proof for high-demand products.

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A leading U.S. retailer achieved a 20% lift in revenue per visitor with real-time offers

By leveraging ZineOne’s in-session marketing, the Retailer was able to deliver real-time offers to those visitors who were undecided about a purchase.

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HDFC Rolls Out Real-Time Omni-Channel Interactions

HDFC Rolls Out Real-Time Omni-Channel Interactions A couple of years ago, the Indian banking industry found itself at the intersection of technological disruptions, changing customer behavior and the emergence of unconventional competition. Consumers’ day-to-day dealings with the likes of Amazon and Google, had raised the bar of customer expectations from their banks in terms of […]

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Hyper-contextual customer engagement in banking

DOWNLOAD CASE STUDY Connecting digital endpoints and data with AI Today’s digitally-savvy and highly discerning consumers are accustomed to dealing with brands such as Amazon, Google, Facebook, and Apple in their day-to-day lives. These companies are adept at leveraging AI and ML to glean information about their customers, understand their needs and use this knowledge […]

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