The Funnel.io alternatives worth comparing in 2026
Funnel describes itself as the marketing data foundation behind reports, measurement and AI tools, and that is a fair description of the whole category below.
These products exist so the numbers you look at are complete, consistent and trustworthy. Opus Growth is on this list for a different reason: it is what you use once the numbers have told you something, because it changes the campaign from Claude or ChatGPT with a preview before anything is applied.
What you can do
Governed data and campaign action are different purchases
Funnel's value is trust: one definition of spend, one definition of a conversion, harmonised across sources so finance and marketing stop arguing. That work is real and slow to replace. It also stops exactly where the account begins. Nothing in a data foundation pauses an ad group or moves a budget, and that is not a gap in the product, it is the edge of the category.
The gap this fills
Most teams that buy a data platform end up with a second, unbudgeted job: someone reads the dashboard on Monday and spends the rest of the day in five ad platforms applying what it said. Opus Growth is that second job. You ask for the change in plain language and it happens in the account, with the exact before and after shown first.
What it 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. Tag Manager, Analytics, Search Console, YouTube and Business Profile come along for context.
Approval on every write
Each change is returned first as a dry run naming the account, the entity, the current value and the proposed value. Nothing is applied until you approve it and every action is logged. A model with access to live budgets should never be able to act quietly.
It does not compete with your data stack
There is no warehouse to provision, no schema to model, no sync to schedule, and nothing here replaces your reporting. Queries hit the ad platform APIs live at the moment you ask. Teams that keep Funnel usually keep it, and put this next to it.
Setup measured in a minute
Paste one connector URL into Claude or ChatGPT, sign in with Google, pick the accounts. No developer token, no app registration, no self-hosting, no BI seat. Agencies connect an MCC and work across every client under it.
Set it up in 60 seconds
- 1
Name the job you are buying
Reporting and acting are two different purchases. If you need blended reporting, attribution or a warehouse you own, you are shopping for a data platform. If the slow part is doing something about what the report said, 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. 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 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 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 | Funnel | |
|---|---|---|
| Primary purpose | Let an AI assistant operate ad accounts: analyse, then change campaigns, budgets, bids, keywords and creatives. | Build a harmonised, trustworthy marketing data foundation that reports, measurement and AI tools sit on. |
| Read vs write | Read and write. Most of the tool set performs real create, update, pause and delete actions in the ad account. | Read side of the market. Data is collected and delivered; campaigns are not modified, and that is deliberate. |
| What it optimises for | Time between deciding and the change being live. | Consistency and trust: one definition of spend and conversions across every source. |
| Approval and safety | Dry-run preview on every write with old and new values, explicit approval, full audit log. | Different risk surface: data access, retention and governance rather than campaign changes. |
| Setup | About a minute: one connector URL, sign in with Google, select accounts. | A project: connect sources, define the data model, map fields, schedule refreshes. |
| Where the data lives | Nowhere new. Queries hit the ad platform APIs live, so there is no copy to keep in sync. | In the platform and your destinations, which is the point if you want history you control. |
| Who it is for | Performance marketers, PPC freelancers, in-house growth teams and agencies making weekly changes. | Marketing ops, analysts and finance-adjacent teams who need numbers everyone agrees on. |
| 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. | Enterprise-oriented subscription scaled to sources, volume and users. Check funnel.io for current rates. |
| What it does NOT do | Does not build dashboards, warehouse 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 work. |
| End of a typical session | Wasted search terms staged as negatives, applied on approval, and the account is different five minutes later. | A dataset and a report that everyone in the room trusts. |
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 |
| Supermetrics | Hosted | Read only | Not required | Marketing, ads and analytics sources | Agencies and brands standardising reporting across many clients |
| Funnel | Hosted | Read only | Not required | Ads, analytics, CRM and cost data | A governed 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 outrank 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 |
| Porter Metrics | Hosted | Yes | Not required | Marketing sources | Reporting first, with some campaign work, through Claude and ChatGPT |
Frequently asked questions
For the job Funnel does, harmonising marketing data into a trustworthy foundation, the closest alternatives are Supermetrics, Improvado, Adverity, Coupler.io, Windsor.ai, Whatagraph and Coefficient, and the choice usually comes down to source coverage, destinations, governance features and price. If what you actually want is for the campaign to change after the report, that is a different category, and Opus Growth is built for it.
Not for data. Funnel collects, cleans and harmonises marketing data and delivers it to reporting and measurement tools, and Opus Growth does none of that. What it replaces is the manual work after the report, when someone opens five ad platforms and applies the decision by hand. Plenty of teams run both.
Speed between insight and change. Clean data shortens the time to know what is wrong. This shortens the time to fix it: you say what you want in the chat where you were already reading the numbers, review a preview naming the exact entity and values, and approve. The account is different minutes later instead of at the end of the day.
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, and it is executed only after you approve. Every action is logged. Read-only questions run immediately because they cannot alter anything.
Neither. It is hosted, so authentication happens through OAuth when you sign in with Google. There is no 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, with the same URL and the same tools.
Yes. Multi-account and MCC access is supported with login-customer-id handling, credentials stay isolated per customer, and every action is logged for review. The Agency plan covers unlimited actions and multi-account management.
Explore more
If the data is already clean and the slow part is acting on it, connect Opus Growth and try it on one real account.