Spellbinder

Use Case

Unlocking high-value customer revenue hidden in plain sight

Retail · Discovered in 6 days · Fortune 500

Illustrative purposes only

The Situation

The retailer's customer analytics team was experiencing declining loyalty among high-value customers despite increased marketing investments. Despite weekly strategy meetings and extensive customer segmentation analysis, they couldn't identify the pattern driving the attrition.

Before

High annual attrition rate among top-tier customers; Extended periods between luxury purchases

After

Significantly reduced annual attrition rate among top-tier customers; Substantially shortened intervals between luxury purchases

The Spellbinder Difference

In less than a week after deployment, Spellbinder autonomously uncovered what the analytics team had missed for months: a critical correlation between in-store inventory availability, personalized service touchpoints, and purchase frequency among the most valuable customer segment across their boutique locations. This insight had remained invisible despite the team's diligent analysis efforts.

Key Findings

Discovered markedly higher conversion rates when specific product categories were consistently available for in-store try-on experiences

Identified an emerging opportunity to refine personal shopper scheduling based on individual customer purchase patterns and preferences

Testimonial

"Spellbinder didn't just solve our customer retention problem—it found an opportunity we weren't even looking for. We're now weeks ahead of competitors who are still reacting to last season's customer data."

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Platforms

Autonomous Data Analytics

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