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Articles tagged «eCommerce personalization»
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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Top 10 marketing personalization mechanics that grow LTV
Ten reproducible personalization mechanics — from a chatbot that knows the browsing history to in-store personalization driven by online data — each with a step-by-step setup and the metric it moves.
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How to build personalization in practice: approaches, stages and recipes
Segmentation, recommendation strategies, A/B testing and analytics — the four stages of personalization walked through end to end on the example of a DIY and home goods retailer.
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E-commerce segmentation guide: how to grow metrics step by step
Three or four behavioural segments that cover 100% of traffic beat a hundred narrow ones. A step-by-step guide to defining segments, testing personalization on each, and a worked example from an electronics retailer.
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What is BDUI and how it helps e-commerce grow
Backend-Driven UI lets you change app screens without a release. What BDUI and an LMP are, why they matter in e-commerce, and how a team ships interface changes in hours instead of weeks.
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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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AI Experience Builder: quizzes, product finders and promo mechanics without a special project
AI Experience Builder in Gravity Field: describe a quiz, a product finder or a promo game in plain language, and the platform assembles a working version you launch as a campaign with an audience, an A/B test and analytics.
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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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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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How in-app and push communications increase conversion in eCommerce
Push brings the user back, in-app converts them once they are inside. How the two formats complement each other, why in-app is still underused and how to launch a first scenario.
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