E-commerce Experimentation Shatters Records in Early 2025

John Lloyd

johnlloyd.us

Situation: Ensuring Experience Work
Didn’t Get Left Behind

With increasing pressure to deliver features quickly, there was a real risk that user experience improvements would be overlooked. I needed to create space for design-led experimentation by aligning cross-functional stakeholders, keeping the team focused on long-term growth levers like engagement and bookings while still meeting delivery commitments.

Task: Create Environment for Increased Testing

I needed to collaborate with our portfolio delivery managers to ensure that 20% of the product backlog was reserved for experience-focused work. This allocation created the space for my team to run structured experiments aimed at improving the shop and booking journey, ultimately driving higher guest engagement and increased bookings.

Action: Facilitated Quartely Experiment Workshops

We brought designers, product managers, and engineers together to generate hypotheses grounded in both guest pain points and business priorities. This ensured our testing roadmap was collaborative, feasible, and impactful.

Action: Prioritized the Roadmap with Stakeholders

Partnered with marketing, revenue, and product leadership to prioritize high-leverage tests (e.g., shop form redesign, branded search logic) while deprioritizing lower-impact ideas.

Action: Q1 Experiment Highlights

A/B: Sticky Shop Form on Brand Pages

Hypothesis

Creating a sticky shop form experience on the brand and portfolio pages will increase engagement with the shop form.

Results

  • Increased engagement with “Find a Hotel” by 1.7%.

  • Overall increase in clickthrough to Rooms by 0.3%.

  • Increase in clickthrough to Payment on desktop +0.5%

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Winner

A/B: Shop by Price Checkbox

Hypothesis

Users who click into the date selector and see a Shop by Price checkbox will enter Flex Dates calendar at an increased rate.

Results

  • Flex Dates page entry increased by 12.3% 

  • Explore Rates CTA clicks increased by 1.9%

  • No impact to clickthrough to Book or conversion.

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Winner

Action: Q1 Experiment Highlights

A/B: Month Tabs in Shop Calendar Modal

Hypothesis

Adding months tabs to the calendar modal in Shop will increase clickthrough/ conversion.

Results

  • Decreased overall RPV (-2.6%, -$1.98 change).

  • Decreased clickthrough to Payment (-0.5%, -0.23 pt change).

  • Estimated -$16.42M in quarterly attributable savings. 

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New Variant

A/B: “Find a Hotel” Opens in a New Tab

Hypothesis

Sending users clicking on "Find a Hotel" to Shop pages to a new tab rather than the existing tab will increase conversion .

Results

  • Increased conversion (+3.6%, +0.73 pt change).

  • Increased RPV (+3.6%, $3.04 change).

  • Estimated +$4.37M in quarterly attributable revenue. 

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Winner

Action: Q1 Experiment Highlights

A/B: Key Amenity Info on Hotel Card

Hypothesis

Adding key amenities of a property to the hotel card will increase clickthrough.

Results

  • Increase in RPV (+0.7%, +$0.37 change).

  • Increase in overall conversion (+0.5%, +0.08 pt change).

  • Estimated  +$7.89M in quarterly attributable revenue. 

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Winner

A/B: Recently Viewed Chip

Hypothesis

Highlighting properties that the user has recently viewed will increase clickthrough to Book.

Results

  • Increase in mobile conversion (+0.7%, +0.12 pt change).

  • Increase in clickthrough to Payment on desktop (+0.2%, +0.12 pt change).

  • Estimated  +$1.22M in quarterly attributable revenue. 

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Winner

Action: Q2 Experiment Highlights

A/B: Selected Dates Indicator on Form

Hypothesis

Showing date selection indicators on the Property shop form will increase clickthrough as check in + check out dates are now clearly displayed for the user to confirm.

Results

  • Positive impact to revenue per visitor: +1.0%

  • Increased mobile conversion: +1.0%, 0.08 pt change

  • Estimated +$2.47M in quarterly attributable revenue. 

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Winner

A/B: Curated Shop Form Pilot

Hypothesis

Users who see the shop form component on Curated will engage with shop form and enter booking flow at a higher rate.

Results

  • Increase in Check Rates" CTA clicks: +30.7%

  • Increased conversion: +13.0%, 0.31 pt change.

  • Estimated +3.34M in quarterly attributable revenue. 

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Winner

Action: Q2 Experiment Highlights

A/B: App - Map/Filter Sticky Button

Hypothesis

Presenting users with a sticky and more prominent (color) map/filter button on search results page will increase conversion and/or revenue per visitor. 

Results

  • Amenities Filter Clicks increased: 18.5%, 0.27 pt change.

  • Increase in RPV: 1.4%, $1.09 change.

  • Estimated $13.39M in quarterly attributable revenue. 

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Winner

A/B: Reassurance Messaging: Stay Dates

Hypothesis

Users who are opting to edit stay dates in the booking funnel will note an increase in clickthrough as the reassurance is helpful to guests in other areas of the site. 

Results

  • Increase in clickthrough to the flexible dates calendar (2.9%, 0.27 pt change).

  • Increase clickthrough to Payment (0.6%, 0.17 pt change).

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Winner

Action: Q2 Experiment Highlights

A/B: Desktop Shop Form Redesign

Hypothesis

Updating the shop form to a new look and feel will do no harm to clickthrough or conversion as this test is the first step to bringing the new shop form to OHW.

Results

  • Increased conversion and RPV (+1.8%, +0.23 pt change and +1.8%, +$0.90 respectively).

  • Increased  engagement with the shop form.

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Winner

A/B: Mobile Shop Form Redesign

Hypothesis

By redesigning the search results screen including reduced font sizes and readjust content hierarchy, clickthrough will increase compared to the previous M3 screen version.

Results

  • Search to rooms click (9.4%, 5.25 pt change)

  • Dateless to dates click (28.1%, 0.52 pt change)

  • Rooms page load (2.7%, 1.86 pt change)

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Winner

Results

In just six months, design-led experimentation delivered outsized results:

85 cross-functional tests led to $161 million in attributable revenue

Sparking a 194% increase in accessible room bookings.

Increased hotel search engagement by +136% by reordering autocomplete results.

Prevented a –$16.4M quarterly loss by stopping a poorly performing shop calendar change.