Best tools for blended ROAS reporting in 2026

Every tool at a glance

Rank is use-case order, not a single score. Read the best-for column rather than the number beside it.

How we picked

Blended reporting is hard for four reasons, and every tool here handles them differently. Platforms double-count, because two channels claim credit for one order. Attribution windows differ, so the same week is not the same week. Marketplace revenue sits outside the store, which quietly breaks any blend built only on Shopify. And modelled attribution is an estimate presented with the confidence of a fact. We ranked on which of those a tool actually solves.

Order is by use case rather than a single score, and the tool at position one is not ours. Two entries below cost nothing, and for a lot of brands one of those two is the correct answer. We would rather say that than sell a subscription into a problem a spreadsheet already solves.

1Triple Whale

Triple Whale is the category default for DTC brands who want the blended number every morning without building it. It sits over the store and the ad accounts, models channel attribution, and presents the view a founder checks first thing. It is measurement rather than management, so it will not change a campaign. What it changes is which campaigns you believe. The caveat applies to the whole category rather than to this product: a modelled blend is a better argument than platform-reported ROAS, not a source of truth, and it needs real conversion volume first.

Best for: DTC brands spending across several channels who want the blended view daily without building it.

Visit Triple Whale · Described qualitatively because we could not verify current figures.

2Shopify reports and a spreadsheet

Total spend from each ad platform, total revenue from Shopify, one division. That is blended ROAS, and doing it by hand once a week gives you something no dashboard does: you find out where your own numbers disagree and why. It is also the only method with no model in it. It stops working when the number of channels or the frequency of the question outgrows the patience for the export, which is exactly when buying something becomes rational.

Best for: Brands with a couple of channels who want the true number without another subscription.

Visit Shopify reports and a spreadsheet · Described qualitatively because we could not verify current figures.

3Muze

Muze connects Meta Ads, Google Ads, Amazon Ads and Shopify through one OAuth login, so total spend against settled store revenue comes out of a single question rather than four exports and a reconciliation. That includes Amazon, which most blended tools leave out, and it uses Shopify revenue as the denominator rather than platform-reported conversions. The difference from a reporting product is what happens next: when the blend shows a channel underwater, you can act in the same conversation. Every write previews first and new campaigns are created paused.

Best for: Brands who want the blended number and the ability to fix what it reveals in the same place.

See how Muze works

4Google Analytics 4

GA4 is free, first-party, and models conversion paths across channels rather than taking each platform's word for it. It will disagree with every ad platform you run, which is the point rather than a bug: the disagreement is the size of the double-counting problem. It is a web analytics product rather than a finance one, so it will not match settled revenue exactly, and setup quality decides everything. Badly implemented, it produces confident numbers nobody should act on.

Best for: Teams who want a free cross-channel reference point that is not written by an ad platform.

Visit Google Analytics 4 · Described qualitatively because we could not verify current figures.

5Looker Studio

Looker Studio is the build-it-yourself route: connect platform data sources, define the blend the way your business actually calculates it, and put it on a screen. The advantage over a packaged product is that the definition is yours, which matters if your margin structure or marketplace mix makes the standard blend wrong. The cost is that someone owns it forever. Connectors break, definitions drift, and a dashboard nobody maintains becomes a confident source of stale numbers.

Best for: Teams with an analyst who wants the blend defined on their own terms.

Visit Looker Studio · Described qualitatively because we could not verify current figures.

6Pipeboard

If your problem is pulling spend out of several ad platforms rather than modelling attribution, Pipeboard is a clean way to do it from an assistant. It covers Meta, Google, TikTok, Snap and Reddit through one hosted endpoint with full read and write, has a free plan, and carries a badged Meta Business Partner status. It gives you the spend side of the blend across more social platforms than anything else here. What it does not give you is the revenue side, so the denominator still comes from somewhere else.

Best for: Teams whose spend is spread across social platforms and who already have the revenue side covered.

Visit Pipeboard

7Google Ads MCP (official)

Google's official MCP server is read-only by design, which makes it the safest way to get Google numbers into an assistant for reporting work. It cannot launch, pause or change anything, so the worst case is a wrong answer rather than a wrong spend, and it is first-party and free with Google OAuth. As a blended reporting tool it is one input rather than an answer, since it only sees Google. Paired with a store revenue figure it does the Google half with no vendor in the middle.

Best for: Analysts pulling Google numbers into a blended view with zero write risk.

Visit Google Ads MCP (official)

Which one should you choose

• You want the blended view every morning without building it: Triple Whale.
• You run one or two channels and want the true number for nothing: Shopify reports and a spreadsheet.
• You want the blend across four platforms and the ability to act on it: Muze.
• You want a free cross-channel reference not written by an ad platform: Google Analytics 4.
• Your margin structure makes the standard blend wrong: Looker Studio.
• Your spend is spread across social platforms: Pipeboard.
• You want Google numbers with no write access at all: Google's official MCP server.

Where Muze is the wrong answer

Muze is not an attribution product and we will not pretend the distinction does not matter. We can tell you total spend against settled Shopify revenue across Meta, Google and Amazon. We cannot tell you which touch caused a specific order, and if that is the question you are asking, a modelled attribution product such as Triple Whale is the right shape of tool. If your store is not on Shopify, our commerce side does not apply. If you want a blend defined on your own margin structure, build it in Looker Studio. And if you run one channel and check weekly, a spreadsheet is genuinely the correct answer and costs nothing.

Frequently asked questions

What is blended ROAS?

Total advertising spend across every channel divided by total revenue in the same period. The word blended matters because it uses one denominator, which is the only way to stop two platforms claiming the same sale. It is a business number rather than a channel number, and it is usually lower and less flattering than anything an ad platform reports.

Why do Meta and Google both claim the same sale?

Each platform sees only its own touchpoints and attributes any conversion inside its window to itself. A customer who saw a Meta ad, searched your brand, clicked a Google ad and bought is one order appearing in two reports. Add both reported revenue figures together and you get a number larger than your bank statement.

Is a spreadsheet good enough for blended ROAS?

More often than the tooling market suggests. If you run one or two channels and look weekly, exporting spend and dividing by store revenue gives the true blended number with no model in it. It stops being enough when the number of channels outgrows the patience for the export, or when you need the reason behind a change rather than the change itself.

Can I trust modelled attribution?

Treat it as a better argument rather than a fact. Models are useful precisely because the raw platform numbers are self-interested, and they still rest on assumptions about windows, identity and conversion paths that you cannot audit. Decide on directional agreement between the model and the blend rather than on either alone.

How does Amazon revenue fit into a blended number?

It usually does not, and that is the quiet flaw in a lot of blended reporting. If a meaningful share of revenue arrives through a marketplace and your denominator is only store revenue, blended return looks worse than reality. Either include marketplace revenue explicitly or state the caveat in your own reporting, rather than discovering it in a board meeting.

What counts as a good blended ROAS?

There is no universal figure, and anyone quoting one is guessing at your margin. The number that matters is break-even ROAS, which is one divided by your contribution margin. Above it you are making money on incremental spend, below it you are buying revenue at a loss. Calculate yours before comparing against anyone else's benchmark.

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