AI Brain for Commerce
Use case 47BustlyUpdated

Design loyalty points from customer purchase behavior

Model how customers earn points and reach rewards before launching a loyalty program.

The context

A loyalty program spans durable products, accessories and consumables with very different purchase cycles. The operator needs to know whether earning rules, engagement rewards, tiers and subscriptions create unintended routes to free products or upgrades without sufficient customer contribution.

The Bustly workflow

Bustly reviews the available product, customer and membership material, then models how different customer behaviors accumulate points and reach rewards or tiers. It tests engagement caps, multipliers and subscription interactions and proposes revised rules. The deliverable is a rule design and calculation exercise, not a deployed loyalty configuration.

A prompt to adapt

Review our proposed loyalty program using the last year's customer and product data. Compare when purchasers and engagement-only users can redeem rewards or upgrade tiers. Test subscription and multiplier conflicts, then recommend thresholds, caps and rules for review.

Available actions depend on connected tools and permissions. Confirm the scope and authorization before publishing, sending messages or changing spend.

Adapted from real operating tasks. Customer identifiers and sensitive business details are omitted. The workflows are examples, not promises of business results.