The Improvado alternatives worth comparing in 2026
Improvado sits at the enterprise end of marketing data: connect everything, govern it, and let an AI answer questions about it.
The alternatives below are variations on that promise, and the honest way to choose between them is by source coverage, governance and price. Opus Growth belongs on this list for the opposite reason. It does not model your data, it changes the campaigns the data is complaining about, from Claude or ChatGPT, with a preview before anything is applied.
What you can do
Analysis and action are different budgets
Enterprise data platforms are bought to end arguments: one definition of spend, one definition of a conversion, one place everyone looks. That is a real problem and worth real money. It also stops at the edge of the ad account. No amount of governance pauses an ad group, and the team that reads the dashboard still opens five platforms to act on it.
An AI that answers is not an AI that acts
Several platforms in this category now put an assistant on top of the data, and it can answer almost anything about what happened. Answering and acting are separated by permissions, not by intelligence. Opus Growth gives the assistant the campaign tools themselves, so the end of the conversation is a change in the account rather than a paragraph about one.
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 and audit built in, not bolted on
Every write 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. For a team that already cares about governance, this is the same instinct applied to the write side.
Nothing to implement
No warehouse, no schema, no onboarding project, no sync schedule. Queries hit the ad platform APIs live at the moment you ask. If you already run an enterprise data platform, keep it. This sits beside it and covers the step it was never meant to cover.
Setup measured in a minute
Paste one connector URL into Claude or ChatGPT, sign in with Google, pick the accounts. Agencies and in-house teams connect an MCC and work across every account 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, governance 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 | Improvado | |
|---|---|---|
| Primary purpose | Let an AI assistant operate ad accounts: analyse, then change campaigns, budgets, bids, keywords and creatives. | Unify, normalise and govern marketing data across an enterprise stack so analysis and AI sit on one trusted source. |
| 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 modelled; campaigns are not modified. |
| Where AI fits | The assistant holds the campaign tools and proposes changes you approve. | The assistant answers questions about the data it already owns. |
| Implementation | About a minute: one connector URL, sign in with Google, select accounts. | An implementation project with onboarding, mapping and governance decisions. |
| Who it is for | Performance marketers, PPC freelancers, in-house growth teams and agencies making weekly changes. | Enterprise marketing ops and analytics teams answerable for one version of the numbers. |
| 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 contracts scaled to sources, volume and users. Check improvado.io for current terms. |
| What it does NOT do | Does not warehouse history, model attribution, govern data or connect non-advertising sources. | Does not change anything in the ad account: no pausing, no budget edits, no keyword or creative work. |
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 |
| 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 |
| Whatagraph | Hosted | Read only | Not required | Marketing and ads sources | Client-facing reports that have to look right without design work |
| Coupler.io | Hosted | Read only | Not required | Marketing, sales and finance apps | Getting data into spreadsheets without a warehouse project |
| Windsor.ai | Hosted | Read only | Not required | Many sources, reporting | No-code connectors into BI tools and warehouses |
| 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 Improvado does, unifying and governing marketing data at scale, the closest alternatives are Supermetrics, Funnel, Adverity, Coupler.io, Windsor.ai and Whatagraph, and the decision usually comes down to source coverage, governance depth, support and price. If the outcome you actually want is the campaign changing after the analysis, that is a different category and Opus Growth is built for it.
Not for data. Improvado collects, normalises and governs marketing data for large teams, and Opus Growth does none of that. What it replaces is the manual work after the analysis, when someone opens several ad platforms and applies the decision by hand. Large teams commonly run both.
An assistant sitting on a data platform reads your warehouse and explains it. Opus Growth holds the ad platform tools, so it can pause a campaign, move a budget or add negatives, and each of those runs as a preview you approve. The difference is permissions and reach, not how clever the model is.
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 it. 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 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, each customer's credentials stay isolated, and every action is logged for review. The Agency plan covers unlimited actions and multi-account management.
Per seat and per action rather than per source or row: 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, billed in USD through Paddle as merchant of record.
Explore more
If the analysis is already right and the slow part is acting on it, connect Opus Growth and try it on one real account.