Connect Magento (Adobe Commerce) with Attraqt to improve onsite search, recommendations, and personalization, using merchandising rules, ranking controls, and campaign-driven product visibility.
• Product, category, price, stock, and attribute data is exported from Magento (Adobe Commerce) to Attraqt via feed and/or API-based sync, with store views mapped to Attraqt locales.
• Delta sync logic sends only changed records after the initial full export, while deletions and product disablement are propagated as removals or suppressed items in Attraqt.
• Catalog fields are mapped to Attraqt indexing schema, including searchable attributes, facets/filters, sort fields, and merchandising metadata used for ranking and rules.
• Customer behavior events (search queries, clicks, views, add-to-cart, and purchases when available) are captured and routed to Attraqt to support recommendations and personalization models.
• Merchandising rules, boosts/buries, pinning, and campaign ranking configured in Attraqt are applied at query time when Magento requests search and recommendation results.
• Search and recommendation responses are returned from Attraqt to Magento over API, with result sets logged for diagnostics, error handling, and replay in case of downstream timeouts.
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We sync your Magento catalog, attributes, inventory, and pricing into Attraqt, then connect Magento search and PLP widgets to Attraqt ranking, rules, and recommendations. The setup supports campaign boosts, bury rules, and faceting based on your attribute model.
Typically this includes product feed data, category structure, stock and price, and shopper events like views, clicks, add-to-cart, and purchases. We map events to Attraqt so models learn from real onsite behavior, not assumptions.
Yes, most ranking changes, boosts, banners, and rule-based visibility can be handled in Attraqt’s console once the integration is in place. Magento code changes are usually only needed for initial placement, templates, or custom UI.
Yes, we can run separate feeds, ranking strategies, and recommendation logic per website, store view, or locale. This keeps merchandising aligned with local pricing, inventory, and campaign calendars.
Timing depends on catalog complexity and how much UI customization you need, but most effort goes into feed mapping, event tracking QA, and search or PLP template work. Common risks are inconsistent attributes, messy category trees, and missing behavioral events, which we validate early.