EcommerceA/B Experiment · Lead Generation4 weeks · 3 min read

How reframing one word lifted appointment bookings by 18.1%

How a single copy change - adding "no-obligation" to every appointment CTA across the full customer journey - drove a statistically conclusive uplift in showroom lead generation for a high-consideration retail brand.

RoleExternal CRO specialist
ToolsConvert.com A/B testing, (Bayesian) statistics & custom JavaScript
Timeline4 weeks
Key result+18.1% · €1.8M
The Challenge

Being thoughtful of fears & uncertainty with high-consideration purchases

This client sells kitchens, bathrooms and flooring. These are high-consideration purchases, so most buyers research for weeks before they commit to anything.

Booking an in-store appointment is the critical next step in the buying process. But returning visitors, the people deep in their research and closest to a decision, were not converting on the appointment CTA.

The buttons used copy that was to the point but not doing anything to lower their barrier, so the hypothesis was formulated to lower this barrier of commitment. Since returning visitors already knew the consultation was free, it was likely another fear that stopped them. This was the basis for the hypothesis and test.

The Solution

Emphasis on “no-obligation”

We reframed the CTA copy across the entire customer journey. "No-obligation" (vrijblijvend in Dutch) was added to every appointment button across the homepage, category pages, product pages and blog.

By emphasizing "no-obligation" during the appointment, we aimed to reduce Fear, Uncertainty and Doubt (FUD). Instead of discounting the offer, we wanted to remove the psychological risk of saying yes. This approach to reframing perceived barriers can be adapted to other industries or business types where customer hesitation is more about commitment than cost.

The hypothesis to test:
If we change the CTA to emphasize ease and no obligations during the appointment, then more returning visitors will make an appointment because we've lowered the perceived commitment threshold.

Control

Ja, ik wil graag een afspraak

0.8% conversion
Variant

Ja, ik wil graag een vrijblijvende afspraak

1.0% conversion+18.1%
Fig. 01 — Appointment CTA, all entry points
Implementation

One script, every page type

The A/B test ran for four weeks, with a sample size well above the required minimum. The experiment was executed with a commercially available platform, but relied on custom JavaScript for implementation. The script automatically identified page types by inspecting URL patterns and certain HTML elements unique to each section, such as homepage banners, category headers, or product detail blocks. Based on the detected page context, the code dynamically replaced the appointment CTA copy with the "no-obligation" language everywhere it appeared, ensuring a consistent test experience across the website and user devices.

During and after the test, we tracked five KPIs. Our primary KPI was appointment bookings. Secondary KPIs included usage of kitchen- and bathroom planners, 3D planners and overall website traffic patterns. Monitoring these gave us a complete picture of the impact and helped ensure we did not have any unintended side effects.

The Impact
+18.1%

Uplift in appointment conversions

98.4%

Statistical confidence

€1.8M

Projected annual revenue impact

1.0% vs 0.8% · 76,000+ returning users · 4 weeks · p = 0.015 · power 92.45%

Primary result

Appointment bookings increased

The variant converted at 1.0% versus 0.8% for the control. We tested across more than 76,000 returning users over 4 weeks. To ensure the results were robust and actionable, we also segmented the data by device type (desktop, mobile, tablet) and primary acquisition channels. The uplift was consistent across major segments, with no significant differences by device or channel. This suggested a broad generalizability of the finding and highlighting future opportunities for more targeted optimizations.

Secondary KPIs

Insights for follow-ups

Three secondary planning tools (kitchen & bathroom budget planners and the kitchen 3D planner) showed small, non-significant dips in usage. Non of these dips were statistically significant: p-values were well above .05. All results were monitored throughout the test and reported with the end results to the client. Since none of these KPIs showed significant changes in behavior, we concluded the change was not relevant to users who wanted to use these planning tools.

One other secondary metric - the usage of the 3D bathroom planner - did show a statistically significant drop. It was possible this was simply due to timing of the test or another unknown external factor. The finding shaped the next round of testing, as it suggested a possible trade-off between appointment intent and the value of self-service planning tools. Even with the other tools not showing significant changes in usage.

Financial projections note: Revenue figures were modelled projections based on stated assumptions about average project value and appointment-to-sale close rates. They're not guarantees of outcome. Actual impact could've been different based on total site traffic volume, lead quality, and sales team performance. All figures represent incremental impact relative to the control baseline.

Frank Licht

Ready for results like this?

If your appointment funnel, checkout flow, or lead form is leaking conversions you can't explain, the fix is rarely a redesign. It's possibly a hypothesis rooted in what your visitors actually fear, tested with the rigor to prove it. Book a call to talk through where your biggest conversion barrier might be hiding. On this (no-obligation) initial call, we'll discuss your specific challenges, review your funnel and outline the next steps you can take.