Five minutes. Ten years of CRO.
I cannot teach conversion in five minutes. What I can do is hand you the map we drew over ten years of building pages for other people's stores, and show you where the funnel is going next.
We do not run one store. We watch a hundred thousand of them.
GemPages is the page builder behind more than 100,000 Shopify stores. That seat is unusual: we do not have one brand's opinion about what converts, we have ten years of pages, tests and results across every category and market a merchant can sell into. Everything in the next few minutes comes out of that, not out of a blog post.
The company is GemCommerce. GemPages is how merchants build the page. Next is GemBoss: an AI that builds the selling site and then runs it. The direction has not changed in ten years, only the amount of the job the software can take.
Why these are patterns and not anecdotes.
Twenty thousand merchants paying every month, in fifty six countries, from first year sellers to Plus brands. That is the sample everything in the next few minutes came out of. 5,000+ reviews on the Shopify App Store.
A CRO platform for brands, not a page editor.
A page builder gets you a page. It does not tell you whether the page is right, and it does not run the next version for you. The gap between those two is where almost all the lost revenue sits, so that gap is the product.
GemPages
The page itself. Landing pages, product pages, advertorials and pre-sell pages, built by people who are not developers.
GemX
Two versions of a real page, split on real traffic, measured on conversion or revenue. Every A/B number in this deck came out of GemX.
GemBoss
Offers, bundles, volume discounts and post purchase upsells, and the AI that creates the selling site and runs it: writes the angles, builds the variants, reads the result, ships the winner.
Everyone is getting better at building. Almost nobody is getting better at deciding what to build next. That decision is the whole game.
Chris Koh · GemCommerceAsia builds most of the commerce internet and has almost nowhere to talk about it.
Cross border sellers, app builders and agencies across Asia Pacific are serving brands in the US and Europe every day, and the conferences that matter are all somewhere else. ShopX started because that room did not exist here.
No room for cross border
Plenty of local Shopify meetups, plenty of Western conferences. Almost nothing in between for the people actually selling across borders out of Asia. So the know how stays inside single companies.
Building got easy, distribution got hard
AI collapsed the cost of making a store, a page, a creative. Everyone can ship now. What did not get cheaper is attention, trust and getting the offer in front of the right person. That is the new bottleneck.
Agencies, builders and sellers in one place
An agency has the client data. A builder has the product data. A seller has the P&L. Put the three in one room and everybody leaves with something they could not have bought.
What people actually come for
Insights, solutions, technique and hard won know how, from someone who ran it this quarter. Not a keynote about the future of retail.
An alliance of chapters, one city at a time.
ShopX Network is the community arm of ShopX. Small senior rooms that move city to city across Asia Pacific, hosted locally and connected across the region. This is the first one in Singapore.
- Thirteen cities. Delhi, Mumbai, Indore, Bangalore, Coimbatore, Hanoi, Saigon, Bangkok, Kuala Lumpur, Singapore, Shenzhen, Shanghai, Sydney.
- Coffee chat. Fifteen to thirty operators, one host, one sharp topic. Two hours, real numbers, no slide theatre.
- Buildathon. An afternoon of building instead of watching. Teams ship a working cross border funnel on a real store.
- Give first. Everyone in the room brings a tactic, a number or a lesson. That is the entry fee.
4,531 live ads. 198 landing pages.
Pulled from the Meta Ad Library this week: the ten Shopify beauty brands running the most live ads right now, and every destination those ads point at. One landing page for every twenty three ads.
The sharpest one is not even on the chart
ForChics runs 121 live ads for its lash serum. Every one of them lands on the same product page.
It concentrates further than the count suggests
MoxieLash sends 75% of its ads to one page. Most of the tail is duplicates and translations, not different arguments.
This already happens. You are standing in the next one.
Money keeps going into ads. The page it lands on barely moves.
Media buying got professionalised. Creative got industrialised. The destination stayed one page, written once, shown to everybody.
Creative scaled. The landing page did not.
A brand will run hundreds of live ads, each written for a different person with a different reason to buy, and send every one of them to the same two or three pages. The personalisation stops at the click.
Before you touch a button colour, four things decide the rate.
Most CRO advice starts at the page. The page is the third lever, not the first. When a test does nothing, it is almost always because the thing being tested was never the constraint.
Is there a reason to buy
The demand, the mechanism, the margin. No page rescues a product nobody wants at a price that does not carry acquisition. Check this before anything else.
Can they move through it
Structure and UI. Above the fold, CTA in reach on mobile, sections in the order a buyer's questions arrive. Design is not decoration here, it is sequencing.
Do they understand it
Communication, not writing. The hook, the mechanism, the objection you answer before it is asked. Most pages lose here and blame the traffic.
Is it worth it right now
How the value is packaged: bundle, volume discount, gift, guarantee. Same product, different offer, routinely a different business.
Test in that order
Offer and copy tests move numbers in days. Layout tests move them in weeks. Colour tests mostly move nothing.
One constraint at a time
If the product is the problem, a perfect page just gets you a cleaner read on the same bad number.
The page is where the money is decided.
What a converting page is made of, how the funnel around it is shaped, and what merchants actually change when they test.
What a converting landing page actually contains.
Our team pulled apart more than two hundred high performing landing pages across beauty, health, wellness and consumer electronics. The same blocks keep showing up, in roughly the same order. This is the checklist that came out of it.
Different categories, the same skeleton underneath.
Eight pages from that research set. Scroll past the branding and you will find the same blocks in the same order almost every time.
Ads do not sell. They rent thirty seconds of attention.
The standard mistake is pointing paid traffic straight at a product page. Cold traffic is not shopping yet, it is reacting. The pre-sell page is where a reaction becomes an intent.
The pre-sell page is the cheapest lever nobody uses
Same ad, same product page. Put an advertorial in between and the product page suddenly gets warm traffic instead of cold.
Post purchase is not retention
Retention is next month. Post purchase is the next sixty seconds, while the card is still out and the decision is already made.
Four shapes, one job: earn the right to make an offer.
Advertorial
An article that reads like editorial. "The smell hit before the door was fully open." Story first, product as the conclusion rather than the premise.
Listicle
"Top 5 reasons your insomnia keeps winning." Skimmable, and every numbered item is a separate chance to land the mechanism.
Comparison
A review page: 38 products reviewed, 12 studies, 5 picks. Works when the category is crowded and the buyer is already shopping around.
Quiz
"Take this 60 second quiz." A few questions, then a result page built around the answer. Segments the traffic and earns the email on the way through.
2,506 live A/B tests. Here is where merchants point them.
Every test run through GemPages A/B testing over the last ten months, about three hundred a month. Nearly half of all tests are aimed at landing and pre-sell pages, not at the product page and not at the theme.
The signal
Serious paid traffic operators do not test the store. They test the page the ad lands on, and they run several angles at once.
The gap
Almost nobody is testing the checkout and post purchase moment, which is the part with the least traffic cost attached to it.
Test one: which page does the ad land on.
Story advertorial vs brand site
Foot care · USA is a first person article, "how I got rid of the painful bump on my foot in two weeks". B is the brand's own site. Same ad, same product, completely different amount of work done before the price is shown.
Founder editorial vs product page
Outdoor · USA opens with a fear the buyer already has, "one tick bite can end red meat for life", and carries the data. B opens with bundles and a price. Two different buyers, and only a test tells you which one the ad is bringing.
Test two: same words, different amount of design.
Plain listicle vs designed listicle
Jewellery · AUIdentical article, identical five reasons. B adds a comparison graphic, an annotated photo and a product block between the points. The copy did not change, the reading experience did.
Clean advertorial vs high contrast
Skincare · DESame advertorial, rebuilt in a louder colour system with the social proof number moved up and enlarged. This is the kind of test that takes an afternoon and is worth more than a month of copy edits.
Same product, different offer, different business.
How the value is packaged, and the four positions in the journey where you are allowed to ask for more.
They are in buying mode for one more minute. Use it.
Upsell is not one thing, it is four positions in the journey. Most stores only ever install the second one. The last position is the cheapest revenue in the business because you already paid for the traffic, the trust is fresh, and the card is still out.
Pre purchase
- Bundle and save on the product page
- Frequently bought together
- Build your own bundle
In cart
- Cart drawer offer
- Free shipping threshold nudge
- Progressive gift ladder
At checkout
- Order bump
- Checkout extensions on Plus
- Warranty or protection add on
Post purchase
- One click volume discount, no re-entering card details
- Mystery box at a price that is obviously a deal
- Downsell when they decline the first offer
- Thank you page offer, then the email sequence
Why it works
The hard part of a sale is the decision to trust you. That is already done. A second offer thirty seconds later is a different question with a much lower bar.
Why it gets skipped
It sits after the conversion event, so it does not show up in the metric most teams are judged on. It shows up in AOV, and AOV is what pays for the ads.
One click, no card re-entry, sixty seconds to decide.
This page is not a smaller product page. It has its own anatomy, and its own list of offers that work. Decline should not end the conversation either: that is what the downsell is for.
A volume discount needs no new decision, only a bigger version of one already made. A mystery box sells curiosity at a price that is obviously a deal, which is the one thing a buyer in this state cannot compare against anything.
Never break the original order. If the upsell asks for the card again, the offer is dead before it is read.
What goes on the page, in order
One page cannot answer every reason someone clicked.
Personalisation at the funnel level, and the reader that is not human.
The angle that won the click should decide the page.
Today the angle lives entirely in the ad. Everyone who clicks lands on the same argument, whatever made them stop. The version worth building routes the click: the fear-led ad opens the fear-led page, the comparison ad opens the comparison.
Why it is possible now and was not before
Building four full funnels used to cost four times as much. With AI writing and building the variants the marginal angle is nearly free. The constraint moved to knowing which four to build.
What to do on Monday
Take your best selling product and write down the four different reasons people buy it. If you can only name one, that is the finding.
Soon your page has two readers, and one of them is not human.
A growing share of shopping is being delegated to AI agents that browse, compare and buy on someone's behalf. Recent research is blunt about what that does to the funnel: the tactics built for human psychology stop working on the agent.
- Scarcity, countdowns and theatre do nothing. An agent does not feel urgency. It reads price, rating and specification, and it does not care that the timer is running.
- Structured data becomes the sales copy. If the spec, the price and the review score are not machine readable, the agent cannot recommend you even when you are the better product.
- The comparison happens off your site. You are being evaluated next to competitors in a context you do not control and cannot design.
- Human persuasion still matters. The person still approves the purchase. You now have to win two very different readers with the same page.
What we think this means for the funnel
- Pre-sell pages stay human. That is where an agent cannot substitute for a story.
- Product data gets treated as a growth asset, not an ops chore.
- The offer has to be legible as a number, not only as a feeling.
- Testing gets more valuable, not less. You now have two audiences and only one of them can tell you why it left.
Framing informed by HBR, May 2026: traditional marketing does not work on AI shopping agents.
Thank you.
If you take one thing away: stop pointing ads at a product page, and stop ending the funnel at the thank you screen. If you want the rest of it, come to a chapter. That is what the room is for.