Treat UGC like an experiment, not a vibe.
Run UGC placements against a holdout, read significance before you ship, and attribute the lift, all without a Core Web Vitals regression.
Experiment · UGC gallery vs studio-only
50/50 A/B splitSignificance
95%
A variant wins only after it clears the bar. You apply it.
- +20%PDP conversion liftTheater, A/B tested vs. studio-only, 30K+ visitors/arm
- 95%Significance barThe bar a variant clears before it is marked the winner
- 79 KBWidget runtimegzipped, lazy-loaded media, no CWV regression
Why CRO teams pick Idukki
Conversion teams don’t want another widget. You want a clean test: control, variant, a trusted significance bar and a defensible revenue number. The data earns UGC a test slot. Video reviews convert 4.1× better than text-only on the same SKU (PowerReviews, 2023). In Nosto’s survey, 79% of shoppers say UGC influences what they buy. Idukki tests each placement against a holdout that sees no widget. It reads the lift per layout and sends the events to GA4 and Meta. The widget is 79 KB and lazy-loads, so the PDP speed score holds.
Test placements against a control
Run a UGC layout against a holdout that sees no widget. Read the lift with a pooled z-test and an mSPRT check. Apply the winner once it clears significance. No eyeballing a dashboard and calling it a win.
Lift the PDP without a CWV hit
The widget is a 79 KB ESM bundle that lazy-loads media, so LCP, CLS and INP hold while you add the social-proof block. You get the conversion lever without paying for it in Core Web Vitals.
Attribute revenue per variant
Per-layout, per-variant revenue as first-class GA4 and Meta CAPI events. The lift number that lands in your experiment readout is the same one Finance can reconcile.
Migrate without downtime
Run Idukki alongside your incumbent first, then cut over in a single day with reviews, UGC and rights state preserved. No flicker, no gap in the funnel, no customer-facing downtime.
Significance before a winner
A pooled z-test and an always-valid sequential test (mSPRT) must both clear the bar. Then you apply the winner yourself.
Proof, same role, real customers
The modules you’ll use most
A/B significance calculator
Drop in your numbers, read significance and confidence before you promote a variant.
OpenPDP audit
Score the product page for conversion gaps and the social-proof blocks worth testing first.
OpenUGC ROI calculator
Model the incremental revenue from a UGC placement against your current PDP CR and AOV.
OpenWidget-speed checklist
Check a widget’s weight and CWV impact so the lift never comes at the cost of LCP, CLS or INP.
OpenHigh-converting PDP playbook
The layout patterns that move PDP conversion, with what to put into a test first.
Open
Frequently asked
How do you measure incremental lift rather than correlation?
You run the UGC placement against a control. You read the gap with a pooled two-proportion z-test. An mSPRT p-value stays valid if you check early. Three or more variants get a Šidák correction. You apply a winner to the gallery yourself, once it clears significance.
Will adding the widget regress Core Web Vitals?
No. In a live PageSpeed Insights run (12 Jun 2026, Desktop) the widget scored 99 Performance / 100 Accessibility / 100 Best Practices / 100 SEO with FCP 0.4 s, LCP 0.9 s, 0 ms Total Blocking Time and CLS 0. The runtime is 79 KB gzipped and lazy-loads media. Run pagespeed.web.dev against widget.idukki.io to reproduce it.
Can we run it alongside our current tool during the test?
Yes. Idukki’s embed runs next to your current tool. A holdout test hides our widget for a share of visitors. You see the lift before you commit.
Tell us your context, we’ll show you the right setup.
We reply within one business day with a sample workspace tailored to your role and stack.
Want results like these?
See the same widgets on a working store.
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