MixedMetrics

BY METRIC // MARKETING ATTRIBUTION SOFTWARE

Marketing attribution software that follows the money

Marketing attribution software earns its place when it shows which channels truly earn their budget. MixedMetrics connects GA4, Google Ads, Meta Ads, TikTok Ads, and Search Console to real revenue from Shopify and Stripe, so credit follows the money rather than the loudest platform.

read-only connectors // blended truth // no PII exposure

The Blend Board
Interactive example
Example
Sources
MASTER · BLENDED READ-OUT Blending sources... last 30 days
Blended ROAS
MER
Blended CAC
Spend
Revenue
New customers
CHANNELS · SPEND VS REVENUE
SIGNAL · AI INSIGHT
Blend an example to read what is driving revenue
Mx What changed

|

What's working
Where money leaks

Illustrative example figures · not a customer account · your own stack connects read-only

The Blend Board reconciles overlapping conversion claims into one view: blended ROAS, blended CAC, MER, and revenue by channel. The AI layer surfaces what changed and where money is leaking, so reallocation decisions are grounded. Connectors are read-only, data is aggregated and consented, and there is no PII exposure. This is reporting, not financial advice.

Growth teams Agencies Ecommerce Founders

Blended across ad, sales, and ecom

Read-only connectors

Why it works

What you get with marketing attribution software

01

Credit follows revenue

Channels are judged against real reconciled sales, not self-reported conversions.

02

Overlap reconciled

Double-counted conversions are untangled into one blended picture.

03

Grounded decisions

AI insights show what changed so budget moves are backed by data.

What it covers

Connect, blend, and see what is driving revenue

MixedMetrics turns scattered platform numbers into one blended read-out of ROAS, CAC, MER, and revenue, with AI that flags where spend is leaking.

  • See which channels earn their budget
  • Reconcile overlapping conversion claims
  • Tie spend to Shopify and Stripe revenue
  • Get AI flags on what changed
  • Keep all data read-only and consented
MASTER READ-OUT Example
Blended ROAS
3.8x
MER
4.2x
Blended CAC
$29
Revenue
$214k

AI insight

TikTok is carrying ROAS at 4.8x while Meta CAC crept to $41. Shift budget to recover efficient revenue.

Illustrative figures showing the layout · not a customer account

Why MixedMetrics

Blended truth, AI insights, no BI tool required

Not eight conflicting platform dashboards, not a data engineer, not a spreadsheet that rots by Friday. One blended view you can act on.

One blended read-out

Blended ROAS, CAC, MER, LTV, and revenue by channel in a single live view, instead of eight platforms claiming the same conversion.

AI that finds the leak

The insight layer reads the blended data and tells you what changed and where spend is leaking, before the month closes.

Connect, do not migrate

Read-only connectors to the tools you already run. No re-platforming, no pixel surgery, first dashboard the same day.

In depth

How much attribution do you actually need?

The double-counting problem, stated plainly

Add up the conversions your platforms claim and you will usually land 30 to 60 percent above the revenue your billing system recorded. Nobody is lying. Each platform is answering the question "did someone who saw my ad go on to buy?" and for a customer who saw three ads before purchasing, three platforms answer yes to the same order.

Attribution software earns its keep by resolving that overlap against a single reconciled revenue figure. The mechanics of the gap, including what shifted when Meta changed its view windows, are covered in why ad platform numbers do not match.

Models, and when the complexity pays off

Last-click is simple and systematically undervalues everything upstream of the final ad. Multi-touch spreads credit across the path but needs identity resolution that gets less reliable every year. Marketing mix modelling sidesteps tracking entirely at the cost of needing serious spend history to produce stable output.

Our comparison of marketing attribution models walks through the tradeoffs, and attribution versus marketing mix modeling covers the point where teams typically graduate from one to the other.

Proving a channel is incremental

The uncomfortable question no attribution model fully answers is whether the revenue credited to a channel would have arrived anyway. Branded search is the classic case: it converts beautifully and much of it would convert without the ad. Only a holdout test settles it, which is what incrementality testing sets out.

In practice most teams run blended efficiency as the daily instrument and reach for incrementality when a big reallocation is on the table. Blended ROAS and blended CAC are the two figures that keep that decision honest between tests.

Good questions

Questions about marketing attribution software

By reconciling platform conversion claims to real revenue from Shopify and Stripe, so blended ROAS and revenue by channel reflect what actually drove sales.
No. Connectors are strictly read-only. MixedMetrics never writes to your tools or moves money, it only reads aggregated data to attribute and report.

See your whole stack blended in one view.

Connect your ad channels, store, and billing through read-only connectors and watch blended ROAS, CAC, and revenue settle into one live dashboard.

See pricing

read-only connectors // blended ROAS, CAC, MER // AI insights // no PII exposure