I’m currently building Gainalyze, a profit intelligence platform designed for Shopify merchants who want to understand what they are actually earning, not just their revenue or ROAS.
The goal is simple: bring together product costs, shipping, payment fees, advertising, discounts and returns to show:
• which products are truly profitable
• where money is being lost
• break-even CPA and ROAS
• what should be fixed or scaled next
• simple AI-powered recommendations instead of endless dashboards
I’m looking for 10 Shopify merchants to join our first private beta and help shape the product.
Beta access will be free for 30 days. There is nothing to buy — I’m mainly looking for honest feedback from real merchants.
Ideally, your store already generates sales and you use Google Ads and/or Meta Ads.
If you’re interested, reply to this post and I’ll reserve you a beta spot.
Happy to test this and share feedback. Profitability is a topic I’m quite interested in, especially once you go beyond revenue and start looking at the real contribution after costs, fees, discounts and returns.
I’d be happy to try the beta with a real store and share practical feedback on what feels useful and what I’d actually use regularly.
I’d be very happy to have you as one of the first Gainalyze beta testers.
The beta is currently being prepared. The goal will be to test Gainalyze in a real store environment and, most importantly, get your honest feedback on what is genuinely useful in your day-to-day business.
I’ll come back to you here as soon as beta access is ready.
Thank you very much for your feedback. It actually confirms one of the main problems Gainalyze is designed to solve.
The goal is to progressively bring together product costs, shipping, payment fees, advertising spend, discounts and returns in one place, so merchants can see their real profitability rather than just revenue or ROAS.
I’d be very interested to hear about the profitability-tracking problems you’ve seen merchants face.
Please feel free to share them here — this kind of feedback can directly help shape the beta version.
Thanks — this is extremely useful, and it strongly matches the problems we’re trying to solve with Gainalyze.
Ad spend attribution per product is definitely one of the areas I want to handle very carefully rather than give merchants a false sense of precision.
For the beta, the approach I’m considering is:
• direct attribution when a campaign or ad clearly maps to a specific product
• order and product-level data from the store to calculate true contribution after costs
• a transparent allocation method for campaigns promoting multiple products
• an attribution confidence indicator when the data is not perfectly clear
• the ability for merchants to review or override assumptions rather than hiding them
The goal is not just to display ROAS, but to answer: “After product cost, shipping, fees, returns and advertising, did this product actually make money?”
Your feedback is exactly the kind of input I want while shaping the beta. If there are any attribution mistakes or reporting gaps you repeatedly see merchants struggle with, I’d love to hear them.
The points around multi-touch attribution, time lag and product-level returns are exactly the kind of edge cases I want Gainalyze to handle transparently rather than hide behind a single number.
Your feedback on the confidence indicator is especially helpful.
There’s one area I’d really value your opinion on:
If a profitability tool could not only show what happened, but also identify the likely cause, estimate the financial impact, simulate a change and recommend a specific action — what would make that genuinely valuable enough for a merchant to pay for?
For example:
“Your profit is being reduced by this campaign/product combination.”
What you said about the difference between a dashboard that reports numbers and a tool that explains the problem, quantifies the impact and recommends what to do really captures the direction I want Gainalyze to take.
For pricing, nothing is locked yet because I want the beta feedback to help shape it.
The current working idea is roughly:
Starter — $79/month
Pro — $199/month
Scale — $499/month
The beta itself would be free.
My thinking is that pricing should depend less on the number of dashboards or features and more on the level of value Gainalyze can create for the merchant — especially store size, ad spend and the amount of profit opportunity it can identify.
For example, if Gainalyze consistently identifies several thousand dollars in preventable losses or additional profit each month, a few hundred dollars per month should have a very clear ROI.
But I don’t want to price based on assumptions alone.
From your experience with merchants, do those ranges feel reasonable if the tool genuinely delivers that level of insight and actionable recommendations?
And would you prefer pricing based on store revenue/ad spend, usage, or simply different feature tiers?
Your perspective on this would be really valuable.
This sounds like a useful tool for Shopify stores, especially since revenue alone doesn’t always show the real profit after ads, fees, shipping, and returns. The break-even CPA and ROAS features sound particularly helpful for making better ad decisions. Good luck with the beta launch!
Thank you very much — I really appreciate the feedback.
The break-even CPA and ROAS side is actually one of the areas I want to make extremely simple for merchants, so they can immediately see how much they can afford to spend on acquisition before a product stops being profitable.
I’m glad that part stood out to you.
If at any point you’d like to take part in the beta and share feedback from a real store perspective, I’d be very happy to reserve you a spot.
Thank you — this is extremely helpful and gives me a much clearer perspective on the pricing structure.
I agree that keeping the plans simple while allowing pricing to scale with the size and value of the store could make more sense than locking too many useful features behind different tiers.
For the beta, I’m planning to keep access free for 30 days so merchants can genuinely test the product and provide feedback.
After the beta, I’m currently considering a 14-day free trial before the paid subscription begins. I don’t currently plan to offer a permanent free plan, because the goal is for Gainalyze to be a premium tool that consistently creates measurable financial value.
I also want the pricing page to focus heavily on ROI rather than just feature lists — for example, showing how Gainalyze can identify profit leaks, save analysis time and help merchants make better decisions.
Would 14 days feel like enough time for a merchant to understand whether a tool like this is genuinely valuable, or do you think a longer trial would be more convincing?
Thanks again — your feedback is genuinely helping shape the product.
Quick update — the first Gainalyze private beta is now going through its final QA checks.
I’m making sure the experience is clean and consistent before opening access.
The first beta will focus on testing the core Profit DNA, Decision Loop, What-If simulator and AI recommendations using realistic demo store data. Live Shopify store connections will be the next step.
I’d still really value your feedback on what feels genuinely useful, what you would use regularly, and what should be improved before connecting real stores.
I’ll send you access as soon as this final pass is complete.
Hi @Gainalyze Welcome To Shopify Community So This sounds useful, especially the break-even CPA/ROAS piece since a lot of merchants only look at top-line ROAS and end up scaling campaigns that are technically profitable on ads but losing money once real product cost and fees are factored in. Curious how you’re handling data accuracy for the cost side, since COGS often isn’t tracked consistently in Shopify itself (a lot of merchants either don’t set cost per item or update it inconsistently), that seems like it could throw off the profit numbers if it’s not clean going in.
I completely agree that profitability is only as reliable as the cost data going into the calculation.
The goal with Gainalyze is not to blindly trust the COGS value stored in Shopify.
The planned approach is to let merchants review and override product costs, keep a history of cost changes, and flag products where the cost data looks missing, outdated or inconsistent.
Over time, supplier/import integrations could also become another source of cost data.
This is also where the confidence indicator becomes important: Gainalyze should clearly distinguish between profit calculated from verified data and profit based partly on assumptions or incomplete information.
So rather than simply saying “your profit is X”, the goal is to also show merchants how reliable that number is and what data needs attention.
For the first private beta, the product is using realistic demo data, but this cost-validation layer is something I definitely want to build properly before relying on live merchant data.
Really appreciate you raising this — it’s exactly the kind of practical issue I want the beta to help shape.
Thanks again for the thoughtful feedback you shared earlier — especially around attribution, lag, returns and product-level profit.
The first Gainalyze private beta is now live with realistic demo store data.
If you’d be open to testing it, I’d be happy to send you a private access link. I’d especially value your feedback on whether the current Profit DNA, Decision Loop and recommendations feel useful enough for a real Shopify merchant.
No pressure at all — just let me know if you’d like access.
