A/B Test Case Study · May 2026

Pressure-testing a +45%
shoppable video lift

A mid-market apparel brand ran a clean randomized test of a product-page video widget. We audited the raw data across 50,476 visitors. After every correction, the lift held.

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Dermatouch logo
Whole Truth logo
Nish Hair logo
Nandog logo
Interior Delights logo
Sunaofe logo
Bcouture logo
Maku The Label logo
House of Masaba logo
Suta logo
Alexel logo
Milton logo
Skyn logo
Minimalist logo
Nasher Miles logo
Petite logo
Sauna Place logo
Rubans logo
Thomas Scott logo
Flo Mattress logo
Dermatouch logo
Whole Truth logo
Nish Hair logo
Nandog logo
Interior Delights logo
Sunaofe logo
Bcouture logo
Maku The Label logo
House of Masaba logo
Suta logo
Alexel logo
Milton logo
Skyn logo
Minimalist logo
Nasher Miles logo
Petite logo
Sauna Place logo
Rubans logo
Thomas Scott logo
Flo Mattress logo
Dermatouch logo
Whole Truth logo

+45.1% conversion lift — video arm vs control

One-month window · visitor-level grain · orders attributed on/after first video-page visit

Visitors in test

50,476

Randomized 50/50 split

Statistical significance

p<0.001

z = 9.3 across full dataset

Video-enabled pages

135

Product pages in the test

01 / The test

Two arms, same pages, same month

Traffic was split 50/50 on the same 135 product pages over one month. One group saw a floating video card, the other saw nothing else different. Because the only systematic change is the widget, the gap between the arms is a fair read on what the video actually caused — not a before-and-after that could be explained by seasonality or ad spend.

Arm What the visitor saw Visitors Converters CVR
Control No widget 24,777 982 3.96%
Treatment PDP floating video card 25,699 1,478 5.75%
Absolute lift +1.79 pp
Relative lift +45.1%
02 / The headline result

Conversion rate, randomized arms

The video arm converted at 5.75% against the control's 3.96%, a 45% relative gain. This is the number to quote: it compares two randomized populations, so it is not skewed by which shoppers chose to engage.

CVR by arm

Like-for-like: same catalog, season, pricing and promotions. Only difference is the widget.

Controlno widget
3.96%
Video armfloating card
5.75%
03 / Engagement

How the video arm interacted

The widget reached 88% of the arm, but only 8.9% actually watched a video and 3.9% watched at least half. Engagement is the lever that drives the lift, so this funnel is where most of the upside still sits: a higher watch rate would compound the gain.

Engagement funnel — video arm

n = 25,699 visitors in treatment arm

Widget shownn=22,698
88.3%
Watched anyn=2,289
8.9%
≥3 secondsn=1,653
6.4%
≥25% watchedn=1,409
5.5%
≥50% watchedn=995
3.9%

Engagement rate (watched any) of 8.9% sits just below the 10–15% shoppable-video median band.

04 / The trap to avoid

Watchers vs non-watchers is not the lift

It is tempting to report that watchers convert 2.8× higher. Don't. Shoppers who choose to watch were already more likely to buy, so this comparison mixes the video's effect with the visitor's intent. It is the most common way shoppable video lift gets overstated.

Group (within video arm) Visitors CVR
Watched a video 2,289 13.85%
Did not watch 23,410 4.96%
Apparent ratio 2.8×

⚠ Selection Bias

The 2.8× is real but not causal. Shoppers who choose to watch are already more interested, so part of that gap is who they are, not what the video did. The honest causal number is the +45.1% from the randomized arms above, not this comparison.

05 / Causal signal

Conversion rises with watch depth

Conversion climbs from 5% for non-watchers to 17% for those who watch most of a video. An effect that scales with exposure is hard to dismiss as chance, so the dose-response pattern backs up the randomized result rather than replacing it.

CVR by watch depth — dose-response

Conversion climbs with how much of the video is watched. Supporting evidence alongside the randomized result.

No watchn=23,410
5.0%
1–24%n=880
10.8%
25–49%n=414
15.2%
50–74%n=285
13.0%
75–100%n=710
17.2%
06 / Robustness

Five checks the result passed

A lift is only as trustworthy as the checks behind it. These five are where most vendor numbers wobble. This result cleared all of them, which is why the +45% is reported with confidence rather than as a hopeful headline.

Check Why it matters Result
Randomized control group Not a before-and-after; confounders removed by design Pass
On/after attribution Only orders on/after first video-page visit counted Lift held
Visitor-level grain One row per person; removes session double-counting Pass
Statistical significance z = 9.3 across 50,476 visitors p<0.001
Dose-response present CVR rises with watch depth Pass
07 / Impact

What +45% was worth, this brand, this month

Translated into orders, the lift produced roughly 460 incremental purchases in a single month on these pages, with a modestly higher average order value on top. The revenue figure is directional, but the direction is clear and repeatable.

Metric Control Video arm Delta
Conversion rate 3.96% 5.75% +45.1%
Average order value ₹2,336 ₹2,475 +5.9%
Incremental orders (vs control rate) ~460 1 month
Incremental revenue (directional) ~₹1.14M 1 month

Incremental orders = test converters above the control conversion rate, applied to test traffic. Revenue uses video-arm AOV; directional.

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About this analysis. Controlled A/B test on a single anonymized mid-market apparel brand, one-month window in 2026, 50,476 visitors split ~50/50 across 135 video-enabled product pages. Traffic randomized between a no-widget control and a floating-video-card treatment. Conversion measured at the visitor level with orders attributed on or after the visitor's first video-page visit. Brand identity withheld.