Introducing ecom's first landing page library
now inside WinningHunter
Go beyond tracking your competitors pages and explore what brands are scaling across any niche
Listicles, advertorials, product pages...
all in one place.
If I had to build a Google store with a feed doing $10K/day from zero this week, this is the exact workflow I'd use in WinningHunter:
Open Ads and switch to Google
Insert these settings:
- Status: Active
- Format: Image
- Platform: Shopping
- Days Running: Evergreen 30+
- Publication date: Last 6 months
- Country: USA
- Sort: Most recently seen
Now do not dump every result into Merchant Center
Open advertisers repeatedly promoting the same product or category..
Inside "store info", check:
- Three-month traffic is stable or growing
- The product appears among the bestsellers
- Several Google ads support the same product
- Estimated revenue shows an operating store
- Similar stores confirm the category is bigger than one advertiser
Only shortlist a product when multiple signals agree
Then add the 10 strongest brands to Brand Tracker and revisit them weekly to see what they launch, keep and remove
Your Merchant Center should be built from a research trail, not a random product dump.
Kind regards
Ecom Daddy
Everybody is obsessed with music ads right now.
And honestly, I get it.
Over the last 2–3 months I’ve made a shitload of them for clients and they’ve performed insanely well.
But here’s the problem…
Everyone is copying the format without understanding why it works.
That’s where I’ve been using WinningHunter.
Instead of just looking at ads and thinking “that looks cool,” I can see what’s actually running, what brands are scaling, how long creatives have been live and the patterns showing up across winning ads.
So I’m not just making a “music ad.”
I’m looking at what’s already working, finding the patterns, then building something completely different around them.
That’s the difference between copying an ad…
and understanding why the ad is winning.
If you’re making ads without researching what’s already working in your market, you’re basically guessing.
Go into WinningHunter, find the ads that are actually scaling in your niche, and start pulling apart the patterns.
Don’t copy the winning ad.
Figure out why it won… then iterate.
Get started at : https://t.co/WNgIpb7r4z
From researching a brand in WinningHunter to developing AI ad concepts, @kamil_sattar walks through the process step by step..
Pay attention to what he looks for before he starts creating!
True Classic's 6-pack is worth studying.
Winning Hunter estimates $10.63m–$18m USD in 30-day store revenue (17 Sep snapshot).
A basic T-shirt becomes an offer around a full rotation.
What would make buying several units useful for YOUR customer?
Here's what we've been shipping at WinningHunter..
- Google Ads: Research advertisers and domains with format, platform, country and days-running filters
- Landers: A dedicated landing-page library with niche and page-type filters, screenshots and linked live Meta ads
- Email Insights: Automated flows, campaign calendars and full email previews
We've also upgraded existing features:
- Brand Tracker: Store data and Meta ad activity, side by side
- Store Insights: Updated revenue estimates, bestsellers and similar stores
- Ad Rank: Compare a page’s ads by estimated impressions, track rankings and filter by rank growth
- Image Search: Find matching or similar products from an image
- Reorganized filters: Dedicated Ad, Product, Page, Store and EU/UK tabs
More on the way
Thanks to everyone sharing feedback and helping us make WinningHunter better.
@andymewborn@SenseiEcom Exactly @andymewborn it's not just about finding what's popular, but studying the patterns behind the products that are winning..🤝
You don't need to wait for a brand to show up on its own..
Paste its Meta Ad Library page URL into Request a Brand and it gets added
Once it's in, you get the full profile in one place: Meta ads, Google Ads, similar stores, Tiktok shop and store info, right alongside everything else you already track.
@GlennNieuwenh This is exactly why we built page history into Landers alongside ad history
Most people only ever look at one signal at a time
Put them together and the picture gets a lot clearer, fast..
A brand keeping the same landing page for six months can mean they found the winner
A brand changing their landing page every two weeks can mean the exact same thing
Both look like conviction from the outside
The difference is what happens to the numbers around the change
If the page changes and monthly visits keep climbing anyway, that's not indecision, that's iteration on top of something that already works
If the page changes and traffic resets every time, that's still the search phase, just a more expensive version of it
Same behavior on the surface
Completely different stage of the business
The part worth tracking isn't the redesign itself
It's whether the redesign came before the growth or after it
- Did the new page follow a spike in ad spend?
- Did the offer change but the core promise stay the same?
- Did they keep the same headline and only touch the layout?
- Did revenue estimates move in the same direction as the page changes, or against them?
If the whole page gets rebuilt every time and nothing about the offer survives the rebuild, the brand is still guessing at the fundamentals
If the layout keeps changing but one promise, one price anchor, one guarantee never moves, that's usually the signal that the offer itself is done and they're optimizing delivery around it
I use @winninghunt to line up store history against ad history instead of looking at either one alone
Ad volume tells you how hard they're pushing
Page history tells you what they're actually confident enough to keep
Neither number means anything on its own
Put them next to each other and the story gets a lot clearer
try it here: https://t.co/W2fVeJbLo3
the most valuable competitor signal is often a change in behavior
more creatives than usual
a new email sequence
EU spend moving
an ad suddenly gaining rank
those changes give you somewhere specific to investigate instead of another competitor profile to browse..
Spending energy and $$$ on products that don’t scale?
I compiled 50 products from winning stores that you can research and potentially test for your own store
This is from @winninghunt, which helps us find a lot of the ads, products, hooks, and strategies I’ve been studying lately
Instead of guessing what might work you can see what other stores are already testing
AND how they’re positioning their products
COMMENT “ACCESS” below (must be following) so we can share it with you 👇
#ecommerce #shopify #dropshipping
The hook and the product reveal don't have to happen at the same time
@sypr3me found a UGC ad that gives the story a full minute before bringing the product into focus
An interesting approach to test in your next creative brief..
Found a UGC ad on WinningHunter where they spend the first minute singing about running into an ex husband at Walmart hahahah
The product barely shows up until you're already invested in the story
37 days live with 5 active versions
Most brands would have cut the song and forced the product into the first 3 seconds
(What's working right now for women 55+?)
@frankyecom took that question into WinningHunter MCP, researched the patterns and angles, and developed a concept and script for a client..
i barely write ad scripts from scratch anymore.
i plugged WinningHunter’s MCP into my workflow so i can ask it what’s working on the algorithm and turn that data into new ad concepts on the fly.
this entire ad was researched + scripted using their MCP.
the brief was literally:
“what’s working right now for women 55+?”
it pulled the patterns, angles + ads getting traction and we built the concept around that data.
made this out of it for a client.
this is where ad research is going.
give it a try here:
https://t.co/WNgIpb7r4z
we've added Google Ads to WinningHunter
the part i like is being able to build with people who care about the details as much as i do
an idea gets a lot better when the whole team has a hand in it
proud of the work that went into this..
Most people ask AI to choose the product for them
I think that is the wrong part of research to automate
AI is much better at handling the repetitive work before the decision:
1- Finding advertisers increasing their ad volume
2- Checking which stores are gaining traffic
3- Identifying brands launching new creatives
6- Comparing the same signals every day
7- Turning the changes into a shortlist
Connecting @winninghunt through MCP gives us the AI access to the research data while keeping the final judgment with the operator
The system can collect and organize the evidence
The person who understands the market should still decide what it means.
Introducing Google Ads on @winninghunt
Explore Search, Shopping, YouTube, Display and Maps
Narrow the results with detailed filters, inspect the creative and run history, and save relevant ads
Bring specific examples into your next campaign brief..