Multi-brand retailer increases revenue from anonymous visitors

The challenge

Sitewide promotions were not only diluting their brands but also eroding profit margins. The retailer wanted a more strategic way to deliver (and withhold) offers to their consumers.

The solution

Using patented intelligence models from Session AI, the retailer can predict who may be influenced by a real-time offer. For all other visitors, they do not share discount offers. Visitors who show strong buying propensity in that session, they will present a 'complete the look' upsell product recommendation. They have been able to unlock new segments for their anonymous web and mobile web traffic in the moment they are on their site. The platform then uses these predictive insights to increase conversions and save margin in real-time.

The Result

By leveraging Session AI's in-session marketing platform, the multi-brand retailer was able to identify influenceable visitors and improve conversion rates across a dozen use cases.

Prediction-based segments (use case example)

Session AI segments every visitor in real time based on purchase intent:

• A 30-minute time-bound offer for 10% off served to anonymous visitors who were "on-the-fence"
• Future coupon offered to visitors predicted as "unlikely to buy" in exchange for email
• No discount offered to visitors predicted as "highly likely to buy"