Connect BigCommerce with Yotpo Loyalty to automate points, referrals, VIP tiers, and redemption rules from real order and customer account data, so rewards always match what shoppers actually do.
• Customer identities are matched between BigCommerce and Yotpo Loyalty using email and customer IDs, with guest orders handled through email-based lookup when available.
• Order data from BigCommerce (order ID, customer, items, discounts, taxes, shipping, totals, and status) is sent to Yotpo to drive points earning rules, VIP qualification, and referral eligibility.
• Order status events are mapped to loyalty logic, so point granting can be delayed until “shipped” or “completed,” and adjusted when an order is canceled or refunded.
• Refund and return updates are transmitted as negative adjustments, with line-item granularity used when available to support partial refunds and prevent over-rewarding.
• Points balance, reward redemptions, and coupon or discount redemptions are associated to the shopper’s Yotpo profile and reflected back in BigCommerce customer account context.
• Sync jobs use incremental updates and event-based triggers, with retries and structured logs capturing payloads, API responses, and reconciliation outcomes.
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We map BigCommerce order states and adjustments to Yotpo events, so points earn and reversals follow the same rules. This prevents “phantom points” after returns and keeps balances consistent.
Yes, we can align guest orders to the right customer profile once they create or claim an account. That way, points history and VIP tiers stay attached to one identity.
Referral links and codes can be configured to attribute conversions back to the advocate and apply rewards after eligible orders. We also align the reward timing with your fraud and return window rules.
We configure tier thresholds, earning rates, and redemption constraints, then validate how they behave across products, promos, and shipping. The goal is predictable rewards that do not break your margin logic.
scandiweb delivers the setup, QA, and post-launch monitoring, including edge cases across checkout and post-purchase flows. We have 22+ years in eCommerce and 2,100+ projects delivered.










