STC's Success: A 200% Surge in Average Order Value
Stumptown Coffee, already known for effective email marketing, needed a tool to better predict customer purchase cycles. Using Retentics AI’s advanced analysis and replenishment system, they boosted conversion rates and Average Order Value with more personalized, data-driven campaigns.
Nov 12, 2024
Challenge
Stumptown Coffee, already well-known for its effective email marketing and loyal customer base, sought to improve its ability to predict customers’ varied purchase cycles. They needed a tool that could analyze customer purchase behaviors and power highly personalized email marketing.
Solution
By leveraging Retentics AI's advanced purchase cycle analysis and dynamic replenishment date system, Stumptown Coffee significantly enhanced their email marketing effectiveness. The result was a remarkable increase in both conversion rates and Average Order Value, showcasing the power of personalized, data-driven marketing strategies.
Key Results
With the implementation of Retentics AI's replenishment date system, Stumptown Coffee saw their conversion rate nearly triple. Additionally, their Average Order Value (AOV)—the total flow revenue divided by the total number of orders—increased by 200%.
Stumptown Coffee sources the finest coffee by connecting directly with producer partners at their farms and mills. Their commitment to quality results in high-quality, hand-picked coffee, crafted with great attention to detail.
Stumptown Coffee is well-known for its strong email marketing and loyal customer base. However, as a company committed to continuous improvement, they saw an opportunity to better predict their customers' diverse purchase cycles. They needed a solution that could analyze customer purchase patterns and enable hyper-personalized email marketing.
Replenishment Flow
Previously, Stumptown Coffee used a replenishment email flow with a fixed sending interval of 30 days, which is typical in their industry. Retentics AI introduced a dynamic replenishment date system, allowing for a more personalized and adaptable approach to purchase cycle analysis.
By analyzing purchase data from Shopify, Retentics AI predicted the optimal next purchase timing for each customer. Emails were sent to customers whose purchase cycles aligned with specific dates, encouraging their next purchase. This dynamic approach replaced the static 30-day interval system and outperformed Klaviyo's expected next purchase forecasts.
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