The data used to train AB Tasty Recommendation & Merchandising algorithm is provided through the integrations you set.
When there are multiple integration sources, the data can come from any of those integrations.
The recommendation algorithms, such as similar_items and associated_items, use different data analysis periods depending on the data sources:
Google Analytics 4 (GA4):
- Transactions: 90 days.
- Product views: 120 days.Data from GA4 is only available starting from the date the BigQuery GA4 connection was created.
Shopify:
- Transactions: limited to 60 days.
PrestaShop:
- Transactions: 90 days.
These periods are defined by the limitations of the data sources and ensure efficient analysis for recommendations.
Data used to train Recommendations Algorithms
Product pages viewed in session
sessionID + pageUrl (+ userID optionnally) for each pageview
integration source: Analytics
Transactions
transactionID + itemID (+ userID optionnally) for each transaction
integration source: Analytics, Transaction feed, CMS
Catalog
itemID + pageUrl + …itemProperties (+ userID optionnally) for each item
integration source: CMS, Catalog feed
User
userID + …userProperties
integration source: CRM (optional)