LD Keyfinder product page on two phones today: the Jetsetter Black first screen with the store rating line, and the trust rows above the dark sticky add-to-cart bar.

Client

LD Keyfinder

Date

October 7, 2026

View Site

The Client

LD Keyfinder sells luxury keychains on Shopify. Round one won on desktop while most shoppers were on their phones, so we read the sessions and rebuilt the first screen. Then we made the whole store faster and tested that too.

Round two · product page A/B testJune 10 to 15, 2026
+25.8%
Revenue per visitor
Nearly five times round one's lift
+14.6%
Mobile conversion rate
On a mobile-first store
+20.0%
Add-to-cart rate
All devices
One red number in the same test: desktop conversion −3.2%, shown in full below.
Industry
Luxury accessories
Platform
Shopify
Tested
May to September 2026

The client

LD Keyfinder sells luxury keychains on Shopify: gold- and platinum-plated details, gemstone and crystal beads, limited-edition drops. Most shoppers meet the brand for the first time on their phone. They land on a product page, and that first screen decides whether they keep going.

The Problem

The problem

The product page was not winning that moment.

  • The materials that justify the price sat buried under paragraphs of romance copy.
  • On mobile, the add-to-cart button scrolled away the moment someone started reading.
  • First-time visitors bounced before they ever reached the value.

The Execution

Round one: rebuild the product page

  • A/B test vs the original page
  • About three and a half weeks
  • Closed June 3, 2026

We rebuilt the page around how a first-time mobile shopper actually reads it:

  • Materials, not mood. Metals, stones, and finish up top where a glancer sees them, with the romance copy one tap away.
  • A sticky add-to-cart, so the buy button follows you down the page.
  • A “how to use” GIF, because part of the hesitation was not knowing what the product does.
  • A tighter mobile layout for the feature icons, price, and quantity, plus a clickable lifetime workmanship guarantee.

We tested it head-to-head against the original for three and a half weeks. A week in, the new page trended ahead, but soft. Microsoft Clarity session data pointed at the order of the page, so we resequenced it mid-test: warranty and ships-from-Canada up top, the best-performing GIF higher, weak sections lower. On June 3 it closed as a win: revenue per visitor up 5.3%, conversion up 3.6%. Same traffic, more revenue out the other end.

But look where the conversion lift landed:

Round one: where the conversion lift landed
Desktop
+13.0%
Mobile
+1.5%
A win, on the wrong device. Mobile is where most of this store's shoppers are.

We had improved the page for the shoppers who already converted best.

The turn: read the data, don't celebrate

Plenty of agencies would bank that win. We went back into Clarity and watched the mobile sessions instead.

The story was right there. Scroll depth was shallow. Most mobile visitors never made it down the page, and nearly all the interaction clustered on the product images at the very top. Shoppers judged the product on the first screen and left before they reached the proof below it.

So we stopped trying to pull people down the page and moved the proof up to where the attention already was.

Round two: rebuild the first screen

  • A/B test vs the round-one page
  • June 10 to 15, 2026

Three changes, all aimed at the first screen:

  • Trust signals at the product photos, right where the heatmaps showed everyone was already looking.
  • Proof on the photo itself. The third product photo carries the trust content, so it gets seen even by shoppers who never read a word.
  • An inverted sticky add-to-cart. A dark bar with a white button, high contrast against everything around it. It bends the brand's color guidelines a little. The easiest change of the three, and the one we'd bet on.

Sometimes the conversion-correct choice and the brand-guideline choice aren't the same. You make that call with data.

Here is the same product page, zoomed in on the parts rounds one and two changed. Round one's sticky bar is rebuilt from its original theme code, and the April frames come from a web archive copy shown with today's theme styles. Prices are blurred.

The sticky add-to-cart

Round one made the add-to-cart follow shoppers down the page. Round two flipped its colors so it stands out. Both frames show today's page at the same scroll position: only the bar is swapped.
Before
LD Keyfinder Jetsetter Black product page on a phone with round one's sticky add-to-cart: a white bar with a quantity stepper and a dark Add to Bag button, rebuilt from the round-one theme code.
Round one: a white bar that blends into the page. Rebuilt from round one's theme code.
After
The same page live today with round two's sticky add-to-cart: a dark charcoal bar with a white Add to Bag button. Price blurred.
Round two, live today: a dark bar with a white button, high contrast against everything around it.

Proof on the photo

The third product photo. Round two layered the proof onto the image itself, so shoppers see it without reading a word.
Before
The third product photo of Jetsetter Black in April 2026, with no overlay.
April 2026. The photo on its own.
After
The same third photo today, with an overlay of gift, warranty and sales badges.
Today. Gift, warranty, and sales proof, right on the photo.

Below the first screen

Scroll down and the old page became a wall of description copy, with the buy button left behind. Now the proof comes in short rows, and a dark bar keeps Add to Bag in reach.
Before
The April 2026 product page scrolled down: long description paragraphs and no sticky add-to-cart bar.
April 2026. Paragraphs of description, and no sticky add-to-cart.
After
The product page today scrolled down: five trust rows, a short design details list, and a dark sticky bar with a white Add to Bag button. Shipping threshold and price blurred.
Today. Trust rows up front, and the dark sticky bar with a white button.

The Results

The results

Round two ran head-to-head against the round-one page from June 10 to 15 and came out ahead almost everywhere.

Revenue per visitor
+25.8%
All devices, nearly five times round one's lift.
Round one +5.3%
Mobile conversion rate
+14.6%
Measured against round one's page, not the original.
All devices +11.8%
Add-to-cart rate
+20.0%
Most likely the dark sticky bar's doing. One test can't split credit between three changes.
Clickthrough +6.8% overall
−3.2%
Desktop conversion rate: the one red number
Desktop is the small slice of this store's traffic, and the mobile gain outweighs the dip many times over. We'd rather show you a real red number than scrub the board to make a slide look clean.
How we report: observed lifts as percentages, never a client's revenue or visitor counts. We don't claim statistical significance for any round; round two ran five days.
Where the conversion lift landed, round by round
Round one
Desktop
+13.0%
Mobile
+1.5%
Round two
Desktop
−3.2%
Mobile
+14.6%
Conversion rate by device. Each round is measured against the version it replaced. Round two moved the conversion gain to the device most shoppers use.
Testing tool report for round two, lift badges only: conversion rate up 11.8 percent on all devices, up 14.6 percent on mobile, down 3.2 percent on desktop; revenue per visitor up 25.8, 23.2 and 33.1 percent. All values masked.
Round two conversion rate lift badges by device: all devices up 11.8 percent, mobile up 14.6 percent, desktop down 3.2 percent. Values masked.Round two revenue per visitor lift badges by device: all devices up 25.8 percent, mobile up 23.2 percent, desktop up 33.1 percent. Values masked.
Round two in the testing tool's own report, which calls it V2.1. Lift badges only: every value is masked.

Meanwhile, across the whole store

In the 30 days ending late June 2026, the month round two ran, the whole store did more with slightly less:

Store-wide context · all channels · the 30 days ending late June 2026
−2%
Sessions
+8%
Total sales
+10%
Orders
+12%
Store-wide conversion rate

Fewer visits, more sales. That's the point of CRO: converting more of the traffic you already have. Store-wide numbers include everything else that happened that month, so read them as context, not proof.

The Numbers

Round three: a faster store, tested against revenue

  • Sitewide A/B test
  • September 22 to 28, 2026
  • About two dozen fixes, no apps uninstalled

Most speed work gets sold on a score. We A/B tested ours against revenue.

Ahead of Black Friday, we ran the loop across the whole store: about two dozen fixes, most of them to how pages load, without uninstalling a single app. Among them:

  • The first image a shopper sees loads first. The rest wait their turn.
  • The product gallery loads one photo up front instead of all ten.
  • Space is reserved for the gallery and checkout buttons, so the page jumps around less while it loads.
  • Heavy scripts, like session recording and product recommendations, wait until the page is ready or they're needed.
−52%
Time to load the main image on the shop-all collection page, in a lab test on a throttled mobile connection.

A lab number is still a score, so we split live traffic between the faster store and the store as it stood, September 22 to 28. The faster store came out ahead on every metric, on every device, and we shipped it. Across all devices:

Round three A/B test · sitewide, all devices · September 22 to 28, 2026
+8.9%
Revenue per visitor
+7.0%
Conversion rate
+7.6%
Add-to-cart rate
+4.2%
Average order value

The honest read: desktop moved the most, mobile the least. Under a week is a short test, and speed wasn't the only change, so we treat these lifts as direction, not a final number.

Testing tool report for round three, lift badges only: conversion rate up 7.0, 3.0 and 26.8 percent for all devices, mobile and desktop; average order value up 4.2, 3.5 and 4.5 percent; revenue per visitor up 8.9, 4.2 and 28.7 percent. All values masked.
Round three conversion rate lift badges by device: all devices up 7.0 percent, mobile up 3.0 percent, desktop up 26.8 percent. Values masked.Round three average order value lift badges by device: all devices up 4.2 percent, mobile up 3.5 percent, desktop up 4.5 percent. Values masked.Round three revenue per visitor lift badges by device: all devices up 8.9 percent, mobile up 4.2 percent, desktop up 28.7 percent. Values masked.
Round three in the testing tool on September 28, the morning we called it. Lift badges only: every value is masked.

What's next

The product page was the opening move, and we ran the loop on it twice. Then we took it sitewide. CRO compounds. Each win funds the next test.

What the research says

The numbers on this page come from LD Keyfinder's own tests. Outside research explains the thinking behind moves like these. Each source is scoped to what it actually shows, and none of them tested this store.

  1. First impressions are fast, and most visits come from a phone. In a lab study, ratings of homepages' visual appeal after a 50 millisecond glimpse were highly correlated with ratings after 500 milliseconds. Contentsquare's 2026 benchmark of 99 billion sessions found phones bring about 70% of traffic, 1 in 3 visits starts on a product page, and 61% of those product-page visits bounce.Sources: Lindgaard, G., Fernandes, G., Dudek, C., and Brown, J. (2006). Attention web designers: You have 50 milliseconds to make a good first impression!, Behaviour & Information Technology; Contentsquare's Content Team (2026). Why intent is the key to engagement in 2026: 4 key takeaways, Contentsquare.
  2. Most shoppers scan, so buried details get missed. Nielsen Norman Group's eyetracking shows people scan web pages and phone screens, and that walls of unformatted text get scanned in an F-shape that misses big chunks of content. In Baymard's product page testing, shoppers repeatedly overlooked content tucked behind horizontal tabs, including one who was looking for a product's materials.Sources: Pernice, K. (2017). F-Shaped Pattern of Reading on the Web: Misunderstood, But Still Relevant (Even on Mobile), Nielsen Norman Group; Blackwood, A. (2018, updated 2026). Avoid Using “Horizontal Tabs” for the Main Product Page Sections (29% Don’t), Baymard Institute.
  3. Show the product in use. NN/g's research across 49 ecommerce sites lists animated images of the product in use as a useful product page extra. In a randomized field experiment on an apparel store's live site, adding a video of a model wearing an item lifted its sales by 14.5% on average.Sources: Sherwin, K. (2019). UX Guidelines for Ecommerce Product Pages, Nielsen Norman Group; Kumar, A., and Tan, Y. (2015). The Demand Effects of Joint Product Advertising in Online Videos, Management Science.
  4. Attention clusters at the top, and starts on the photos. In NN/g's eyetracking on desktop screens, 57% of viewing time went to the first screen and 74% to the first two. In Baymard's testing, 56% of shoppers began a product page by exploring its images.Sources: Fessenden, T. (2018). Scrolling and Attention, Nielsen Norman Group; Scott, E. (2020). 25% of E-Commerce Sites Don't Have Product Images with Sufficient Resolution or Level of Zoom, Baymard Institute.
  5. Put the proof where shoppers already look. Baymard recommends adding descriptive text or graphics to some product images, because many shoppers start with the images and skim descriptions. In Spiegel's observational data from a gift retailer, a product with five reviews was 270% more likely to be bought than one with none. On Amazon, positive information about what other shoppers bought raised camera sales.Sources: Scott, E. (2018). Product Page UX: Include Descriptive Text or Graphics for Some Product Images (52% Don’t), Baymard Institute; Spiegel Research Center, Northwestern University, with PowerReviews (2017). How Online Reviews Influence Sales, Medill Spiegel Research Center; Chen, Y., Wang, Q., and Xie, J. (2011). Online Social Interactions: A Natural Experiment on Word of Mouth versus Observational Learning, Journal of Marketing Research.
  6. Keep the buy button in reach, and make it stand out. In one store's mobile A/B test, a sticky add-to-cart button that slid the add-to-cart options up from the bottom like a drawer lifted orders 5.2%, while a bar that only scrolled back to the buy box showed no significant difference in conversion. NN/g notes that what makes an element stand out is its contrast with its surroundings, not the color itself, and Baymard advises styling the main add-to-cart button unlike any other button on the page.Sources: Khanal, D. (2019). Sticky Add to Cart Button Example: Actual AB Test Results, GrowthRock; Gordon, K. (2021). Visual Hierarchy in UX: Definition, Nielsen Norman Group; Holst, C. (2021). 35 Data-Driven Ecommerce Best Practices, Baymard Institute.
  7. Short tests are a signal, not a verdict. Microsoft's experimentation team recommends running online tests for at least one to two weeks. Kohavi and colleagues also show that small, underpowered tests rarely detect real effects, and that the wins they do find tend to overstate the true effect. That is why we report observed lifts and never call a short test significant.Sources: Kohavi, R., Longbotham, R., Sommerfield, D., and Henne, R. M. (2009). Controlled experiments on the web: survey and practical guide, Data Mining and Knowledge Discovery; Kohavi, R., Deng, A., and Vermeer, L. (2022). A/B Testing Intuition Busters: Common Misunderstandings in Online Controlled Experiments, KDD '22.
  8. Judge speed by sales, not a score. Deloitte's study of 37 brands found that a 0.1 second faster mobile site, measured with Google's Lighthouse lab tool, was associated with 8.4% more retail conversions. That is a correlation rather than a test, and the report left out cases where speed showed little or no effect. Vodafone's A/B test of two otherwise identical pages found a 31% better LCP came with 8% more sales. Google's guidance adds that lab scores and real-user data can disagree, and real-user data should set priorities.Sources: Deloitte Digital, commissioned by Google (2020). Milliseconds Make Millions, Deloitte Ireland; web.dev (2021). Vodafone: A 31% improvement in LCP increased sales by 8%, Google; Walton, P. (2021). Why lab and field data can be different (and what to do about it), web.dev, Google.
  9. First image first, space held, scripts wait. Google's web.dev guides recommend each of these fixes: never lazy-load the main (LCP) image and give it high priority, lower the priority of gallery slides that are not on screen yet, reserve space for images and late-loading widgets, and load non-critical third-party scripts after the main content.Sources: Walton, P., and Pollard, B. (2020, updated 2025). Optimize Largest Contentful Paint, web.dev, Google; Osmani, A., and Pollard, B. (2020, updated 2025). Optimize Cumulative Layout Shift, web.dev, Google; Mihajlija, M. (2019). Efficiently load third-party JavaScript, web.dev, Google.
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