Experiments that improve subscription pages in retail

Two experiments that show how small changes to choice and framing can turn a product page into a subscription engine.

• WHO: E-commerce & CRO teams
• INDUSTRY: Retail
• IMPACTED PAGES: Product Detail Pages, Subscription pages

Experiment 1: Adding a refill quantity selector to the subscription page

Hypothesis: If a brush refill quantity selector is added to the product detail page, then conversion rates and subscription units will increase because users will have more control over their purchase and see clearer value in subscribing.

Image source: Optimizely

Results:

Takeaways:

1. Adding a refill quantity selector increased conversion rates by +4.7%, showing that customer choice directly boosts engagement.
2. Experiments launched at higher velocity (60+ total, 40x faster A/B testing) reinforced that decentralizing testing accelerates product development.
3. Subscription units per transaction rose, highlighting that small UX enhancements can meaningfully improve customer retention strategies.

Experiment 2: Positioning a free trial as a built-in feature

Hypothesis: If a free trial is offered and positioned as a built-in feature rather than an add-on, enrollment will increase because trial framing reduces perceived risk and highlights convenience.

Image source: Optimizely

Results:

Takeaways:

1. Positioning the subscription as an integrated feature with a free trial increased enrollment by 37%, proving that built-in framing reduces adoption friction.
2. Running approximately 500 campaigns delivered $21M in revenue, showing that systematic experimentation drives measurable business impact.
3. Early wins prompted global rollout, demonstrating that clear results accelerate organizational buy-in.

The visitor who almost subscribed isn't lost yet

Framing, timing, and choice architecture all affect whether someone commits.

The Personalization Ideation Agent matches the right offer to the right visitor, and the Experiment Summary Agent surfaces what is working so you know what to scale before more potential subscribers leave.

Small changes here compound over months. See what a program built around that thinking looks like.

See experience optimization in motion