The ranked diagnosis
What is hurting performance, in order, with the revenue at stake for each finding and a plan that runs from this week to next quarter.
Platform-aware: a TikTok problem is judged against TikTok norms, not a blended average.
Explained by AI — decided by data
KPIHelm reads a store's ad platforms and its Shopify numbers, then returns a ranked diagnosis: what is wrong, what it is costing, and what to do about it — in plain language, whether it's your own store or a client's.
Why the advice holds up
This is the part worth reading before anything else, because it is what lets you put your name on the output. The diagnosis is produced by a deterministic engine. The AI is only allowed to write it down.
Spend, impressions, clicks and revenue pulled from the connected platforms — or entered by hand when a platform can't be connected.
A rules engine scores the numbers against the store's segment and produces a ranked list of detected problems, each with a confidence level.
The AI receives the labelled problems — never the raw KPIs — and writes the explanation and the action plan around them.
What a store gets
What is hurting performance, in order, with the revenue at stake for each finding and a plan that runs from this week to next quarter.
Platform-aware: a TikTok problem is judged against TikTok norms, not a blended average.
Conversion, ROAS, CTR, AOV and the rest, tracked over time and compared with the store's own sector — so "is 2.1% good?" has an answer.
Benchmarks are per segment and per platform, and the chart says which it used.
Once a store has a handful of reports, KPIHelm stops treating each one as new and names the recurring core problem underneath them.
A history of five reports saying "conversion is low" is one sentence repeated — this is what it actually means.
Add cost of goods, fees and fixed costs and the report stops talking about revenue alone: margin per order, break-even ROAS, and the price point that changes the answer. Or skip the report: Price Check tells you before you charge it, Period Profit tells you after the month closes.
Stated in plain money, not formulas — a client can read it without a glossary.
SUYLA — the proactive layer
Nobody logs in to check a dashboard that has nothing to say. So SUYLA does the looking. Every morning it runs the analysis on every connected platform and writes down what it found — the verdict, the evidence behind it, and what to do about it. Every week it writes a full AI review of each platform's last 7 days. Three platforms with ads running on each is twelve written reviews a month, and you press nothing to get any of them.
What this sells is detection time — the distance between a campaign starting to leak and somebody noticing. A report answers when you ask. SUYLA has written it before you thought to.
SUYLA sees. TASHLA leaves a sign.
One watches and speaks. The other is a note left behind for whoever comes next — no conversation, only acknowledgment.
Leave a few lines on a store — for your team, or for the client, who reads them inside their own Shopify app. Tashla is a board, not an inbox: a note comes off once it has been seen, and expires on its own.
For agencies
The web panel is built for the case where a store is not yours — it is your client's. Your client grants you access from inside their own Shopify app, and each store keeps its own settings, its own benchmarks and its own history.
Every client store in one portfolio, with the newest finding on each — instead of opening thirty admin panels.
The client enters your agency code in their own Shopify app — and can withdraw it there just as easily. Settings stay on their side, so two doors never disagree about how a report was produced.
Invite colleagues by email. They join the agency account rather than any one store, so the portfolio does not live in a single person's login.
Practical
per month · up to 8 reports
per month · up to 16 reports
launch price · 15-day free trial
$89.99 from 1 January 2027
Each store carries its own subscription and the merchant pays it through Shopify — as their agency you collect no cards and sign no separate contract. No tracking scripts are added to any storefront, and no single store's data is ever shown to another — benchmarks are aggregated and anonymous.