BY SOLUTION // UNIFIED MARKETING REPORTING
Unified marketing reporting across every channel you run
Unified marketing reporting means one place where ad spend, sales, and revenue agree, instead of five tabs that each tell a different story. MixedMetrics joins GA4, Google Ads, Meta Ads, TikTok Ads, Search Console, Shopify, Stripe, Klaviyo, and HubSpot into a single, reconciled model.
read-only connectors // blended truth // no PII exposure
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Illustrative example figures · not a customer account · your own stack connects read-only
The Blend Board becomes your source of truth: blended ROAS, blended CAC, MER, LTV, and revenue by channel, all from the same numbers. The AI layer points out what changed and where money is leaking before you have to go hunting. Connectors are read-only, data is aggregated and consented, and there is no PII exposure.
The short answer
Unified marketing reporting means every channel, your store, and your billing system reporting into one reconciled model instead of five consoles that each answer a different question. MixedMetrics joins GA4, Google Ads, Meta Ads, TikTok Ads, Search Console, Shopify, Stripe, Klaviyo, and HubSpot read-only, then computes blended ROAS, blended CAC, MER, and revenue by channel against the revenue that actually landed. It is attribution-lite by design, not multi-touch attribution or marketing mix modeling, and it starts at $79 per month.
Last updated July 2026
Blended across ad, sales, and ecom
Read-only connectors
Why it works
What you get with unified marketing reporting
One reconciled model
Ads, store, and billing join into a single dataset, so every metric lines up.
No more conflicting tabs
Platform numbers and store revenue agree in one view instead of fighting each other.
Consented and read-only
Data is aggregated and consented, pulled through connectors that never write back.
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.
- Join ad, store, and billing data into one model
- See one reconciled set of ROAS and revenue figures
- Compare channels on the same blended basis
- Spot what changed before it becomes a problem
- Keep data aggregated, consented, and PII-free
AI insight
What changedTikTok 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
What unification actually requires
One source of truth is a choice, not a merge
Unifying reporting is often described as pulling everything into one place, but the hard part is deciding which number wins when two sources disagree. Meta will claim a sale, Google will claim the same sale, and your store recorded one order. Stacking all three in a single dashboard without resolving that conflict produces a tidier view of the same contradiction.
The workable answer is to anchor on revenue that actually landed in Shopify or Stripe and treat platform-reported conversions as directional signal. That is the reasoning behind blended ROAS versus platform ROAS, and it is why the blended figure is the one to run a budget on.
Attribution-lite, and why that is deliberate
MixedMetrics reconciles spend against landed revenue rather than modelling every touchpoint in the path. Full multi-touch attribution and marketing mix modelling answer different questions and carry a much heavier setup burden, which we compare in attribution versus marketing mix modeling.
For most teams under a certain spend level the blended view answers the budget question well enough, and the rundown of attribution models explains where each approach starts to earn its complexity. If you do need channel-level credit, multi-channel attribution covers what we reconcile.
What one reconciled model unlocks
Once ads, store, and billing report into the same model, comparisons that were previously guesswork become routine: cost per acquired customer against what that customer is worth, channel efficiency on a common basis, and whether growth in one channel is genuinely incremental or just cannibalising another.
The cross-channel marketing analytics view is where that comparison lives day to day, and ad spend tracking keeps the cost side current across every account you run.
Good questions
Questions about unified marketing reporting
Explore more
More ways to use MixedMetrics
Marketing dashboard software
One live dashboard that blends every channel into spend, revenue, and ROAS.
Learn more →Marketing analytics tools
The tool category explained, and where a blended dashboard fits.
Learn more →Marketing dashboard examples
Sample marketing dashboards by role, and the metrics each one should carry.
Learn more →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.
read-only connectors // blended ROAS, CAC, MER // AI insights // no PII exposure