VerityIQ is a private weekly report on what your ad spend actually did — built on your Shopify revenue, not platform claims. Five views, honest ranges, and one clear move. Refreshed every Monday.
Ranges, never false-precision numbers. A weekly report you read — not a daily dashboard to babysit.
iOS 14, cookie deprecation, consent banners — tracking broke. The platforms didn't admit it. They switched to modeled, predictive attribution and kept reporting like nothing had changed. Most brands never noticed. They just kept chasing ROAS.
High ROAS does not equal business growth. A channel can show 8× ROAS while contributing almost nothing to actual revenue. Attribution takes credit. Contribution tells the truth — and the two have quietly drifted apart.
You're not measuring your business anymore. You're chasing a number a platform's black box generates, scores itself on, and reports back to you.
Stop asking “what's my ROAS?” Start asking: if I push spend on this channel, does revenue actually move? That's the only question that pays the bills.
And anyone who hands you one number for what a channel “drove” is guessing — confidently. We show the realistic range instead, how confident we are in it, and where each platform's claim falls outside it. The honesty is the point.
Not a memo, not a live dashboard — a private weekly report for your brand, at your own link. It reads what your ad spend actually did against the only revenue that hit your bank, and holds every claim to an honest range. Here's the Overview.
Revenue on the left axis, ad spend on its own smaller right axis. Drag to move through time — shaded bands are promos.
The whole business at a glance — revenue against spend, your customer and efficiency metrics, and targets with a pace line showing where the plan says you should be today. Shown above.
The honesty scorecard: what each platform claims, the realistic range your own data supports, and where the claim reaches past it — with the one clear move.
| Channel | Spend | Claims | Realistic range | $ vs data | Verdict |
|---|---|---|---|---|---|
| Meta | $58k | $312k | $94k–$128k | +$184k | OVER-CLAIM 2.4× |
| TikTok | $12k | $45k | $28k–$39k | +$6k | over-claim (soft) |
| $31k | $128k | $118k–$163k | in range | clean |
Where the spend sits in the funnel — top, middle, and bottom — read from your campaigns' own names. Stage totals only; we never guess at the ad level, and unmatched campaigns stay unclassified.
The whole ad flow, day by day — revenue, spend, margin, MER, nCAC. A record sheet, not a control panel: the newest week is marked still closing until it completes.
Where the next dollar should go, from each channel's response curve — one move at a time, capped, never to zero. And when the model can't back a call, it says so and withholds it. The restraint is the point.
Built on your Shopify revenue — not platform claims
You connect the accounts you already have. We do the part you can't do in a spreadsheet: treat spend as the variable and your revenue as the outcome, bound the realistic range from your own history, and flag the claims reaching past it.
The model needs clean data and proper calibration to your business. Every brand we onboard gets hands-on setup and validation before the report goes live — that's why we take a few at a time, not all at once. The wait is the quality gate.
There isn't one — and anyone who gives you one is guessing. Slicing revenue per channel to the dollar is the hardest problem in marketing, and platforms fake it daily. We show the realistic range each channel could have driven and where each claim falls outside it. A range you can trust beats a number you can't.
Shopify brands running $30k–$200k/month in ad spend across two or more channels. Spend much less and the signal-to-noise isn't there yet — the ranges stay too wide to act on. Spend much more and we'd like to talk about your setup first. If your finance model and your ad dashboards keep disagreeing, you're exactly who this is for.
We connect read-only to the accounts you already have — your Shopify store, Google Ads, and Meta. No pixel, no tags, no new tracking. Prefer to start with CSV exports? That works too.
Around six months of history. Under that, the ranges are too wide to trust — so we say so plainly rather than pretend. We'd rather hand you nothing than a number you shouldn't lean on.
It's a report, not a dashboard. Five views at your own private link, refreshed every Monday, read-only. No live metrics to refresh, no alerts to chase — the newest week is marked “still closing” until it completes. You read it once a week and get on with your day.
No daily refresh, no ad-set drill-downs, no “Meta drove $X” to the dollar. We show ranges over false precision, and when the model can't back a call, it says so and withholds it. We advise — you decide; we never move your budget for you.
VerityIQ is in alpha with a small cohort of Shopify brands. If you're running significant ad spend and questioning whether your attribution is lying to you — we'd like to talk. Leave your email and we'll be in touch when a spot opens, quietly.
Ranges, never false-precision numbers. A weekly report you read — not a daily dashboard to babysit.