The Supermetrics alternatives worth comparing in 2026
Supermetrics is the reporting layer a lot of agencies were built on, and it is good at that job.
Every alternative below does some version of the same thing: collect marketing data and deliver it somewhere you can read it. Opus Growth is on this list for the opposite reason. It does not build your reports, it changes the campaigns those reports are complaining about, from Claude or ChatGPT, with a preview before anything is applied.
What you can do
Start from the job, not the brand
Almost everyone comparing these tools is really choosing between two jobs. Job one is getting marketing data out of the platforms and into a place you trust: a dashboard, a warehouse, a spreadsheet. Job two is acting on what the data says. Most of this market solves job one. Ask which job you are buying for before you compare feature lists, because a tool that is excellent at one is usually not built for the other.
Delivering data to an AI is not the same as acting
Supermetrics now lists Claude, ChatGPT and Copilot among its destinations, so your marketing data can land inside an assistant. That is genuinely useful for analysis. It is still delivery: the assistant can describe what happened, and then you open the ad platform and make the change yourself. Opus Growth gives the assistant the campaign tools instead, so the sentence that ends the conversation is a change in the account, not a summary.
What Opus Growth changes, concretely
Create and pause campaigns, set budgets and bids, add keywords and negatives, build audiences, upload creatives and configure conversion actions across Google Ads, Meta Ads, Microsoft Advertising, TikTok Ads and LinkedIn Ads. Google Tag Manager, Analytics, Search Console, YouTube and Business Profile are connected for context on the same link.
Every write is previewed and approved
Each change comes back first as a dry run naming the account, the entity, the current value and the proposed value. Nothing is applied until you say yes, and every action is written to an audit log. An assistant with a live budget should never be able to act quietly, and here it cannot.
No pipeline to maintain
There is nothing to schedule, sync or backfill. Questions hit the ad platform APIs live at the moment you ask, so you are never acting on a dashboard that refreshed six hours ago. If you already own a reporting stack, keep it. This sits next to it rather than replacing it.
Setup measured in a minute
Paste one connector URL into Claude or ChatGPT, sign in with Google, pick the accounts. No developer token to apply for, no OAuth app to register, no warehouse to provision, no BI seat. Agencies connect an MCC and work across every client account under it.
Set it up in 60 seconds
- 1
Decide which job you are buying
If you need blended reporting, attribution modelling or a warehouse you own, you are buying a data platform and Supermetrics or one of the alternatives below is the right shelf. If you need the campaign changed, keep reading.
- 2
Add the connector
In Claude, ChatGPT developer mode, or any MCP-compatible app such as Cursor, add a custom connector and paste https://mcp.opus-growth.com/mcp. That single URL is the whole install.
- 3
Ask for a change and approve it
Ask in plain language, for example pausing every ad group over a target cost per acquisition. Opus returns a dry run listing each affected entity and the exact edit, and applies it only after you confirm.
Ask in plain English
›Across Google, Meta and Microsoft, show me last month by campaign and flag anything spending over $200 with zero conversions.
›Pull the search terms report for my Search campaigns and stage the obvious waste as exact-match negatives for my approval.
›Cut daily budgets by 30% on my three worst-performing TikTok campaigns and show me the before and after first.
›Compare cost per lead across Google, LinkedIn and TikTok this quarter and recommend where to move $2,000 of monthly budget.
›Write three new responsive search ad variants for my brand campaign and stage them for review.
›Across every client account in my MCC, list campaigns pacing more than 20% over budget this month.
How they compare
| Opus Growth | Supermetrics | |
|---|---|---|
| Primary purpose | Let an AI assistant operate ad accounts: analyse, then change campaigns, budgets, bids, keywords and creatives. | Collect marketing data from many sources and deliver it into dashboards, spreadsheets, BI tools and warehouses. |
| Read vs write | Read and write. Most of the tool set performs real create, update, pause and delete actions inside the ad account. | Read side of the market. Data is extracted and delivered; campaigns are not modified, and that is deliberate. |
| Where AI fits | The assistant holds the campaign tools. It proposes a change, you approve, the account changes. | The assistant is a destination. Marketing data can land in Claude, ChatGPT or Copilot for analysis; acting on it is still manual. |
| Approval and safety | Dry-run preview on every write with old value and new value, explicit approval required, full audit log. | Different risk surface. Because nothing is written back to ad accounts, the questions are data access, storage and governance. |
| Coverage | A focused set, covered deeply: Google, Meta, Microsoft, TikTok and LinkedIn ads, plus Tag Manager, GA4, Search Console, YouTube and Business Profile. | Very broad connector catalogue across ads, analytics, CRM, ecommerce and more. Breadth is the point of the product. |
| Setup | About a minute: one connector URL, sign in with Google, select accounts. | A project by nature: pick sources, pick destinations, map fields, schedule refreshes. Reasonable for a data platform. |
| Where the data lives | Nowhere new. Queries hit the ad platform APIs live, so there is no copy to keep in sync. | In your destination: Looker Studio, Sheets, Excel, Power BI, Fabric or a warehouse. Good if you want history you own. |
| Who it is for | Performance marketers, PPC freelancers, in-house growth teams and agencies who change campaigns every week. | Analysts, marketing ops and agency reporting teams who build blended reporting and client dashboards. |
| Agency and multi-account | MCC and multi-account native, per-customer isolation, unlimited actions on the Agency plan. | Strong multi-client support on the reporting side, organised by workspace and destination. |
| Pricing model | Per seat and per action: free trial with credits that never expire, Pro $49/mo, Agency $99/mo unlimited, yearly $499 and $999, USD via Paddle. | Tiered subscription scaled to data sources, destinations, users and accounts. Check supermetrics.com for current rates. |
| What it does NOT do | Does not build dashboards, warehouse your history, model attribution or connect non-advertising sources. | Does not change anything in the ad account: no pausing, no budget edits, no keyword or creative management. |
| End of a typical session | A list of wasted search terms, staged as negatives, applied on your approval, and the account is different five minutes later. | A refreshed, trustworthy dataset and a report that shows precisely where the money went. |
Google Ads MCP servers, side by side
Four axes decide it: whether the server can write, whether it needs a developer token, who hosts it, and which networks it covers.
| Server | Hosting | Write access | Developer token | Platforms | Best for |
|---|---|---|---|---|---|
| Opus Growth | Hosted | Yes | Not required | Google, Meta, Microsoft, TikTok, LinkedIn ads | Changing campaigns from Claude or ChatGPT, with a preview and your approval on every write |
| Funnel | Hosted | Read only | Not required | Ads, analytics, CRM and cost data | A governed marketing data foundation feeding reports and measurement |
| Coupler.io | Hosted | Read only | Not required | Marketing, sales and finance apps | Getting data into spreadsheets and dashboards without a warehouse project |
| Improvado | Hosted | Read only | Not required | Enterprise marketing stack | Large teams that want data, governance and AI analysis in one platform |
| Adverity | Hosted | Read only | Not required | Enterprise source catalogue | Enterprise ETL where data quality and lineage matter more than speed of setup |
| Windsor.ai | Hosted | Read only | Not required | Many sources, reporting | No-code connectors into BI tools and warehouses |
| Whatagraph | Hosted | Read only | Not required | Marketing and ads sources | Client-facing reports that have to look right without design work |
| Coefficient | Hosted | Read only | Not required | Many sources into Sheets and Excel | Teams whose real reporting layer is a spreadsheet |
| Dataslayer | Hosted | Read only | Not required | Ads and analytics sources | Straightforward marketing reporting on a smaller budget |
| Porter Metrics | Hosted | Yes | Not required | Marketing sources | Reporting first, with some campaign work, delivered through Claude and ChatGPT |
Frequently asked questions
It depends which job you are replacing. For the same job Supermetrics does, moving marketing data into dashboards, warehouses and spreadsheets, the closest alternatives are Funnel, Coupler.io, Improvado, Adverity, Whatagraph, Coefficient, Dataslayer and Windsor.ai, and the right pick is mostly about destinations, connector coverage and price. If what you actually want is for the campaign to change after you read the report, that is a different category and Opus Growth is built for it.
Not for reporting. Supermetrics is a marketing data platform: it collects from many sources and delivers into Looker Studio, Sheets, Excel, Power BI and warehouses, and Opus Growth does none of that. What Opus Growth replaces is the manual work that happens after the report, when someone opens the ad platform and makes the change by hand. Many teams keep both.
No, and the difference matters when you are choosing. Sending data to an assistant means the assistant can read and analyse your numbers. It still cannot pause a campaign, move a budget or add a negative keyword, because reading data and holding account permissions are separate things. Opus Growth gives the assistant the campaign tools themselves, behind an approval step.
Google Ads, Meta Ads, Microsoft Advertising, TikTok Ads and LinkedIn Ads are live now, with real create, update, pause and delete operations. Google Tag Manager, Analytics, Search Console, YouTube and Google Business Profile are connected for context and measurement on the same link.
No. Every write runs as a dry run first and returns the exact account, entity, current value and proposed value. It is executed only after you approve it, and every action is logged. Read-only questions run immediately because they cannot alter anything.
None of them. Opus Growth is hosted, so authentication happens through OAuth when you sign in with Google. There is no Google Ads developer token to apply for, no app to register, no server to run and no warehouse to provision.
Yes. It is a standard remote MCP server, so it works in Claude on the web and desktop, in ChatGPT through developer mode connectors, and in other MCP-compatible apps such as Cursor. The same connector URL and the same tools appear in all of them.
Yes. Multi-account and MCC access is supported with login-customer-id handling, each customer's credentials stay isolated, and every action is logged for review. The Agency plan covers unlimited actions and multi-account management.
Data platforms usually price on sources, destinations and volume. Opus Growth prices per seat and per action: a free trial with credits that never expire and no card, Pro at $49 per month, and Agency at $99 per month with unlimited actions and MCC support. Yearly plans are $499 and $999. Billing is in USD through Paddle as merchant of record, cancel any time.
Explore more
If the reports already tell you what is wrong and the slow part is doing something about it, connect Opus Growth and try it on one real account.