Loyalty Builders: Product updates, Customer stories, and Insights | 2026 Cuspera

Loyalty Builders helped Sullivan Tire use predictive analytics and customer data to personalize direct mail campaigns. The goal was to win back underperforming customers and encourage repeat purchase...s from one-time buyers. The campaign used variable data postcards with targeted coupons based on each customer's risk score and loyalty rank. Sullivan Tire saw average revenue per buyer grow by over $200. The average service ticket included two more items per visit. The number of underperforming customers dropped, and median revenue at all upper loyalty ranks increased.
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Loyalty Builders helped a health products retailer improve catalog marketing. The retailer struggled to target the right customers and had limited analytics resources. Loyalty Builders used predictiv...e analytics to find 57,000 profitable customers missed by the old method. One campaign brought in $242,000 extra revenue. Over 10 campaigns, the retailer added $2.9 million in revenue while cutting costs.
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Loyalty Builders helped an e-commerce retailer of herbal medicines and nutrition supplements boost revenue with personalized email campaigns. The retailer wanted more website traffic and to increase ...product variety per order. Loyalty Builders used predictive analytics to personalize emails with three products each customer was most likely to buy. Over six campaigns, the average revenue lift was $0.43 per email, totaling nearly $315,000 more than static emails. Projected annual revenue increase is about $2.6 million with this approach.
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Loyalty Builders helped a CPG and e-commerce company boost revenue with personalized email campaigns. The company wanted to increase e-commerce sales by sending customized offers based on product rec...ommendations. Over 800,000 emails were sent, with 250,000 in a control group. The personalized emails generated 3 to 4 times more revenue than standard emails. One campaign delivered a $490,000 revenue uplift.
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Loyalty Builders used predictive analytics to help a consumer products retailer boost revenue. The company wanted to increase sales from its retail partners. Before, they sent static emails to 500,00...0 customers. Loyalty Builders made personalized product recommendations for six email campaigns. Each campaign reached about 170,000 customers, with a control group of 255,000. The new approach raised shipping revenue from $0.29 to $1.19 per email. The total revenue lift was $1.23 million across six campaigns.
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Loyalty Builders helped a B2B apparel maker boost revenue by $342,314 in just 6 weeks. The company faced stagnant marketing returns and lacked analytics skills. Loyalty Builders ran a campaign with 5... targeted emails using product recommendations. Loyal customers got cross-sell offers, while fading customers got re-sell offers. The campaign increased buyers per email by 30% to 77% and order value by 12% to 80% compared to the control group.
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