Personalised UGC galleries: the right proof for each shopper
Two shoppers, one product page, but different doubts. Personalised UGC galleries show each shopper the customer content most likely to convert them.
Rohin AggarwalCo-founder · Idukki.io·February 22, 2026 · updated May 25, 2026·6 minFrom the Idukki deskA UGC gallery on a product page is usually one fixed set of content, shown identically to everyone. But a product page receives very different shoppers: different sizes, contexts, concerns. The content that resolves one shopper’s doubt is not the content that resolves another’s.
Same page, different doubts
One shopper wants to see the product on a body like theirs; another wants to see it in a small home; another wants the durability update. A static gallery serves whoever it was curated for and leaves the rest hunting. Personalisation surfaces, for each shopper, the customer content most likely to answer their question.
How personalised galleries work
- Tagged UGC, the gallery can only personalise if the content’s subject matter is machine-readable (tags do this).
- Signals: context like the variant viewed, referral source or on-site behaviour, used proportionately.
- Matching, surfacing the tagged content that fits the shopper’s likely concern first.
- A sensible default, a strong general gallery when there is no signal to act on.
Sources & notes
- 1Nosto, ecommerce personalisation research · Personalisation and conversion.
- 2European Commission, GDPR overview · Lawful, proportionate use of data.
+18%
Median PDP CVR lift from UGC
Idukki page-level
+22%
Median AOV lift
Same cohort
+44%
Compound RPV lift
CVR x AOV
+31%
Median dwell-time lift
Idukki dataset
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