Connect BigCommerce with Bloomreach CDP to unify real-time customer data and power AI personalization across email, onsite experiences, ads, recommendations, and product discovery.
• BigCommerce customer, order, and catalog entities are mapped to Bloomreach CDP objects, including identifiers such as email, customer ID, and order ID.
• Storefront behavioral events (for example product views, add-to-cart, and checkout milestones) are streamed to Bloomreach and stitched into unified profiles using identity resolution rules.
• Delta sync logic sends only changed customers, products, and orders after the initial load, with timestamps and record keys used for deduplication.
• Product attributes such as categories, price, availability, and custom fields are normalized for use in recommendations and product discovery models.
• Segments and consent flags are stored and evaluated in Bloomreach, and activation payloads are routed to channels such as email, onsite personalization, paid media audiences, and in-app messaging.
• Sync jobs and event pipelines produce logs for failed records, schema mismatches, and rejected events, with retries handled per connector policy.
.png)
We map BigCommerce catalog, customer, order, and behavioral events into Bloomreach CDP, then validate identity resolution and event quality. You get segments that update as shoppers browse, add to cart, and purchase.
Typical feeds include product views, searches, add-to-cart, checkout steps, purchases, refunds, and product attributes. We align event naming and consent signals so journeys and reporting stay reliable.
Yes, Bloomreach can use one CDP profile to power email automation, onsite content, recommendations, and product discovery rules. We configure the data contract so each channel reads consistent audiences and attributes.
We separate or unify stores based on your reporting and targeting needs, then pass store, currency, language, and region attributes into Bloomreach. That keeps segments clean and prevents cross-market personalization mistakes.
We run QA on event payloads, deduplication, attribution, and consent handling, then set up ongoing checks for missing or delayed events. scandiweb’s data team has delivered 575+ eCommerce BI dashboards, so we treat tracking like production infrastructure.










