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Recommendations: Personalised Product Suggestions in the App
Pocketshop's recommendations feature analyses each user's purchase behaviour and surfaces products that match their interests. This demonstrably increases basket value and creates a personalised shopping experience.
What this feature does for you
Higher basket value
Personalised recommendations lead to additional purchases – Amazon attributes over 35% of its revenue to its recommendation engine.
No manual curation needed
Pocketshop generates recommendations automatically based on user behaviour – no editorial effort required from your team.
Cross-selling and upselling
Complementary products and higher-value alternatives are automatically suggested alongside the viewed product.
Frequently asked questions about Recommendations
- How are recommendations calculated?
- Pocketshop uses collaborative filtering and content-based algorithms combining purchase history and browsing behaviour.
- Do recommendations work for new customers without purchase history?
- Yes – new users receive popularity-based recommendations that personalise as interaction increases.
- Can I manually influence recommendations?
- Yes. You can set featured products and sponsored recommendations in the CRM that are given priority placement.
Customer loyalty pays off – secure your digital marketplace now.
Book a free, no-obligation demo and see live how Pocketshop works for your business.