Connect BigCommerce with Attraqt to improve onsite search, product recommendations, personalization, and merchandising rules, so campaigns push the right products higher and convert more traffic.
• Product, category, and variant data is exported from BigCommerce to Attraqt on a scheduled basis, with delta syncs sending only changed records when supported.
• Core attributes and custom fields are mapped to Attraqt schema, including titles, descriptions, prices, availability, brand, and category paths used for faceting and ranking signals.
• Media and URL fields are passed through for use in search results tiles and recommendation widgets, while canonical product identifiers are preserved for cross-system matching.
• Merchandising rules, boosts, and campaign logic are evaluated in Attraqt at query time, with resulting ranked product sets returned to the BigCommerce storefront.
• Search queries and click signals are captured in Attraqt for relevance tuning and personalization models, with optional enrichment tied back to product IDs.
• Sync jobs validate required fields, log rejects and transform errors, and retry transient API failures with traceable run-level reporting.
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We map BigCommerce product fields, categories, inventory, and pricing into Attraqt feeds, then validate data quality so ranking, facets, and boosts behave predictably.
Typically, events like searches, clicks, product views, add-to-cart, and purchases are shared so Attraqt can improve recommendations, personalization, and ranking over time.
Yes. Attraqt applies rules, boosts, and pinning in the discovery layer while BigCommerce remains the system of record for products and orders.
It can. We set up separate feeds, rulesets, and ranking strategies per storefront, language, or currency, so each market gets the right product visibility.
We test real query sets, validate facets and zero-result handling, and monitor KPIs such as search exit rate and conversion from search to catch drift early.










