Blog

Articles tagged «Product recommendations»

Guides 19 Aug 2026 6 min

Best practices for recommendation blocks in mobile eCommerce

How many widgets per screen, what belongs on a product card, which algorithm to use on the home screen, the catalogue, the product page and the cart — proven practices from dozens of retail app launches.
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Guides 19 Aug 2026 7 min

How to build a “Repeat last order” mechanic for e-grocery, foodtech and FMCG apps

Five placements for a repeat-order control — home screen, catalogue menu, bottom sheet, floating button and order history — with the pros, cons, targeting and the Last Purchase strategy behind each.
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Guides 28 Jul 2026 13 min

RecSys Studio and merchandising: launch your algorithm and shape the output around business goals

A follow-up to the RecSys Studio article: what to do with an algorithm once it is loaded. How filters and merchandising rules (Include, Exclude, Pin) let you shape your model's output in the interface, in minutes, without retraining.
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Guides 21 Jul 2026 16 min

RecSys Studio: run your own recommendation algorithms — and prove them on revenue

RecSys Studio in Gravity Field: connect your own recommendation algorithms (BYOA) — your model picks the products, the platform handles delivery, the A/B test and the revenue impact.
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Guides 2 Sep 2025 4 min

Best Practices for Placing Recommendation Widgets on Your Site

Which recommendation widget to put where — homepage, category listing, product page, cart and account pages — with the algorithm behind each one and what it does for the business.
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Analytics 28 Feb 2025 6 min

How to Get More Out of Your Ad Budget

Five levers that make paid traffic pay off — without raising the budget: the first 10 seconds, purchase barriers, returning users, recommendations and A/B testing.
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Guides 16 Nov 2023 1 min

Personalizing products, prices and customer experience

Key takeaways from the personalization track at DigitalVoice Online Conf: what worked for OMA.BY, Beeline and METRO — and what did not.
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Roundups 22 Aug 2023 8 min

Top personalization mistakes. Part 1

The most common mistakes companies make with personalization — and what to do about each of them, with real numbers from client tests.
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