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E1 · Reported onlyreported winner

Does Pinning a Mobile Checkout CTA Improve Conversion?

Hypothesis

On a mobile multi-step checkout/enrollment flow with a long verification page, users may struggle to find the primary action when they reach the bottom. Making the primary CTA persistently visible should reduce friction and improve progression to the confirmation step.

CTACheckoutEnergy & Utilitiessticky positioningmobile onlyverification stephigh baseline conversion

Evidence: E1 Reported only

An outcome is reported, but there is not enough disclosed information to check whether the result is reliable.

32/100
Record completeness
Sample size
Not disclosed
Test duration
Not disclosed
Primary metric
downstream confirmation
Statistical result
Not disclosed
Why this rating

Use for inspiration or follow-up, not as proof.

Integrity: Caution. Analysis: Unknown.

Missing for a higher tier: Control description, Variant description, Positive sample size, Positive duration, Valid arm counts, Expected allocation, and more.

Caution: Stored caution integrity status, Analysis method not independently specified.

Read the evidence-rating methodology

Key Learning

Sticky mobile CTAs can compress time-on-page meaningfully (~15% faster) without sacrificing engagement signals — users converted at a directionally higher rate AND moved through the page faster, suggesting reduced hesitation rather than rushed clicks. The result was shipped via 90/10 holdout monitoring rather than traditional 50/50 A/B inference — the high baseline (~85%) and limited mobile traffic made full A/B underpowered, so the team chose a holdout-validated rollout as the deliberate methodology. Bayesian P(variant > control) was ~0.90, supporting the directional ship call.

How to Apply This to Your Site

The reported outcome labels this treatment a winner. The record reports an improvement in the measured outcome. The test was run on a checkout page in the energy & utilities industry. Treat it as context for a new hypothesis, not as an expected lift for another site.

Before you test: use your own baseline, business MDE, traffic, and risk tolerance to set the sample and stopping rule. Declare whether the analysis is fixed-horizon, sequential, or Bayesian before launch, and log campaign, targeting, instrumentation, and concurrent-experiment changes while it runs.

What Was Tested

Mobile-only test on a verification step with a high baseline conversion rate (~85%) where the primary CTA was anchored at the bottom of a long page. The variant pinned the CTA to the bottom of the viewport on scroll.

Methodology

Primary Metric
downstream confirmation
Reported Lift Range
+3% to +6% (directional)
Analysis Method
Unknown
Integrity Review
Caution

Build On These Learnings

Save your plans, results, context, and limitations so the next decision can use the strongest available evidence without treating every outcome as universal.

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