Problem Statement

The retailer had limited visibility into customer journeys. Shoppers often dropped off after browsing or abandoned carts without completing purchases. Traditional journey maps couldn’t capture these real-time behaviors, making it hard to time campaigns or personalize re-engagement.

Key Challenges

• High cart abandonment rates

  with little insight into why customers dropped off.

• Difficulty predicting when shoppers

  were likely to churn after their first or second purchase.

• Fragmented customer data across

  online, app, and in-store channels that hindered journey mapping.

• Ineffective blanket campaigns

  that failed to engage customers at the right moment.

• Lack of proactive interventions,

  causing the brand to react too late to disengagement signals.

Solution Implemented

Credencys implemented the Journey Prediction Accelerator to help the retailer anticipate every step of the customer journey:

• Predictive Pathways : Forecasted when customers were likely to make repeat purchases or churn.

• Critical Drop-Off Detection : Identified high-risk points such as cart abandonment and post-purchase disengagement.

• Timely Re-Engagement : Automated personalized campaigns that triggered just before predicted churn moments.

• Omnichannel Intelligence : Unified customer signals from app, website, and in-store interactions for accurate forecasting.

Business Impact

The retailer was able to:

• +28% increase in repeat purchases

  through well-timed re-engagement campaigns.

• Reduced churn risk by 19%

  by proactively addressing disengaged customers.

• Boosted loyalty program participation

  by predicting when customers were likely to lapse and offering targeted incentives.