KPIHelm
Shopify app & web panel
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Explained by AI — decided by data

You don't need more dashboards. You need to know what to fix first.

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.

Meta · Google · TikTok Segment benchmarks Multi-store panel Daily monitoring No tracking scripts

Why the advice holds up

Your KPIs never go straight to the AI.

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.

1 · Input

The store's real numbers

Spend, impressions, clicks and revenue pulled from the connected platforms — or entered by hand when a platform can't be connected.

2 · Pattern engine

Labelled, not interpreted

A rules engine scores the numbers against the store's segment and produces a ranked list of detected problems, each with a confidence level.

3 · Narration

Written in plain language

The AI receives the labelled problems — never the raw KPIs — and writes the explanation and the action plan around them.

The AI never decides what is wrong. It cannot invent a diagnosis, change a priority, or produce a number that the engine did not calculate. Run the same figures twice and the finding is the same finding. That is the difference between advice you can defend to a client and output you have to check first.

What a store gets

Four surfaces, one engine behind them.

Report

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.

Performance

Every KPI against its benchmark

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.

Growth Signal

The problem that keeps coming back

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.

Profitability

Whether the sale was worth making

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 — a proactive daily watch over your ad performance

SUYLA — the proactive layer

It doesn't wait to be asked. It writes the report and hands it to you.

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.

In the panelA feed of what was flagged, newest first — always on.
By emailA digest to the address you choose — and to a second one if you want it, so the agency reads the same thing the merchant does.
On the phoneA notification on the device itself. KPIHelm installs to the home screen like an app.
Your controlA platform you don't want watched can be muted, and a card you've dealt with can be parked.

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.

Tashla — a carved sign stone standing on two pebbles

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.

A note, not a thread

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

One morning view across every store you run.

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.

One list

Every client store in one portfolio, with the newest finding on each — instead of opening thirty admin panels.

Granted, not taken

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.

Your whole team

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

What it costs and how it starts.

Growth 2×4
$29.99

per month · up to 8 reports

Growth 4×4
$39.99

per month · up to 16 reports

SUYLA — always on
$69.99

launch price · 15-day free trial

$89.99 from 1 January 2027

  • 01Install from the Shopify App Store — one click, inside the merchant's own admin. The first report is free.
  • 02Connect Meta, Google or TikTok. A store with no connection can still run a report from figures typed in by hand.
  • 03Running it for a client? They enter your agency code in that same admin, and the store shows up in your panel — more in "For agencies" below.

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.

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