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Optimization | Dependencies | Comments | |
|---|---|---|---|
| 1 | Roll-out standard recommendations: WELCOME, UP-SELL, CROSS-SELL, RE-BUY | any of the WPO active | considering that either SEARCH/NAVI or at least one recommendation is active, it is quite easy to activate other standard recommendation cases |
| 2 | Test on all active widgets : | any of the WPO active | Before anything else, we recommend to identify what are the top-performing best-selling algorithms |
| 3 | Test on all active widgets : | any of the WPO active | Quite rapidly, we recommend to optimize the listing ranking / recommendations with Click-Through and Buy-Through self-learning |
| 4 | Test on all active widgets : | any of the WPO active | Test the effect of real-time personalization on all your widgets |
| 5 | Test on all active widgets : | any of the WPO active | Test the effect of purchase-history personalization on all your widgets |
| 6 | Test on UP-SELL, CROSS-SELL: | UP-SELL or CROSS-SELL active | Test the effect of smart similarities and cross-selling algorithms on your recommendations on the Product Detail Page and Basket |
| 7 | Optimize Search Term Relevance (STR) | SEARCH/NAVI active | right away, you can define different weights on different search fields and after a few months you typically have enough “per search terms” statistics to go beyond the global PCS - Widget Display $Value Self-Learning ) |
| 8 | Integrate GA4 with BigQuery | data exports & tracker activeIntegrate your Data in Boxalino BigQuery Data Science Eco-System | |
| 9 | Integrate Google Ads with BigQuery | data exports & tracker active | |
| 10 | Review and optimize your search performance with semantic filters | SEARCH/NAVI active | |
| 11 | A/B test layout and label changes | any of the WPO active |
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