Multi-Brand Retailer Sees Growth in Sales from Unknown Clients

Multi-Brand Retailer Sees Growth in Sales from Unknown Clients

Multi-Brand Retailer Sees Growth in Sales from Unknown Clients
Multi-Brand Retailer Sees Growth in Sales from Unknown Clients

The Problem

Site-wide promotions were reducing financial margins in addition to weakening their brands. The retailer wants to provide (and withhold) offers to customers in a more strategic way.

The Answer

The shop can foresee who might be swayed by a real-time offer using ZineOne’s unique intelligence models. They do not extend discounts to all other guests. Visitors with a high inclination to purchase during the session will be offered an upsell product to “finish the look.”

As soon as a user lands on their website, they can access fresh segments for their mobile and anonymous web traffic. The software then makes real-time margin savings and conversion increases using these predictive insights.

The Outcome


The Multi-Brand Retailer was able to identify influential visitors and increase conversion rates across a dozen use cases by utilising ZineOne’s in-session marketing technology.

Working with ZineOne helped the retailer achieve a 12X ROI within the first year.

The following is an illustration of one of the use cases for the Retailers:

Anonymous site visitors who were on the fence received a time-limited 10% off offer.
If a visitor gave their email, they may give them a future coupon for a return visit for those who were unlikely to make a purchase during that session.
Additionally, they merely permitted anonymous visitors who were forecast to make a purchase during that session to do so uninterruptedly, saving them from sacrificing unneeded margin.

Segments Based on Predictions


In conclusion, the U.S. Retailer discovered distinct categories based on early purchase forecasts, particularly for users who would have left the website without making a purchase. This is crucial in a world where privacy comes first and retargeting becomes more intricate. The retailer increased revenue per customer by an average of 4% to 15%.


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