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Improvado governs the data. Opus Growth changes the campaign.

Improvado governs marketing data, and Opus Growth changes the campaigns from ChatGPT, Claude or Grok after you approve a preview.

After the analysis
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Opus 5 High

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 ChatGPT, Claude or Grok, 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 six 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, LinkedIn Ads and ChatGPT 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

Install the published Opus Growth plugin in ChatGPT (opus-growth.com/chatgpt) or add https://mcp.opus-growth.com/mcp in Claude, Grok and other MCP-compatible apps, 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. 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. 2

    Add the connector

    In ChatGPT, open the published Opus Growth plugin at opus-growth.com/chatgpt, install it, approve the Opus Growth sign-in, then start a chat with @Opus Growth; in Claude, Grok and other MCP-compatible apps, add https://mcp.opus-growth.com/mcp as a custom connector. That single URL is the whole install.

  3. 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 GrowthImprovado
Primary purposeLet an AI assistant operate ad accounts: analyze, then change campaigns, budgets, bids, keywords and creatives.Unify, normalize and govern marketing data across an enterprise stack so analysis and AI sit on one trusted source.
Read vs writeRead 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 fitsThe assistant holds the campaign tools and proposes changes you approve.The assistant answers questions about the data it already owns.
ImplementationAbout a minute: one connector URL, sign in with Google, select accounts.An implementation project with onboarding, mapping and governance decisions.
Who it is forPerformance 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 modelPer seat and per action: free trial with credits that never expire, Pro $49/mo, Agency $99/mo unlimited, yearly $490 and $990, All-in-One $149/mo, Enterprise on request, USD via Paddle.Enterprise contracts scaled to sources, volume and users. Check improvado.io for current terms.
What it does NOT doDoes 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.

Improvado alternatives, side by side

Four questions decide it: can the tool change campaigns or does it only move data, does it need a developer token, who hosts it, and which platforms does it cover?

ToolHostingWrite accessDeveloper tokenPlatformsBest for
Opus GrowthHostedYesNot requiredGoogle, Meta, Microsoft, TikTok, LinkedIn, ChatGPT adsChanging campaigns from ChatGPT, Claude or Grok, with a preview and your approval on every write
SupermetricsHostedRead onlyNot requiredMarketing, ads and analytics sourcesAgencies and brands standardising reporting across many clients
FunnelHostedRead onlyNot requiredAds, analytics, CRM and cost dataA governed data foundation feeding reports and measurement
ImprovadoHostedRead onlyNot requiredEnterprise marketing stackLarge teams that want data, governance and AI analysis in one platform
AdverityHostedRead onlyNot requiredEnterprise source catalogueEnterprise ETL where data quality and lineage outrank speed of setup
WhatagraphHostedRead onlyNot requiredMarketing and ads sourcesClient-facing reports that have to look right without design work
Coupler.ioHostedRead onlyNot requiredMarketing, sales and finance appsGetting data into spreadsheets without a warehouse project
Windsor.aiHostedRead onlyNot requiredMany sources, reportingNo-code connectors into BI tools and warehouses
CoefficientHostedRead onlyNot requiredMany sources into Sheets and ExcelTeams whose real reporting layer is a spreadsheet
Porter MetricsHostedYesNot requiredMarketing sourcesReporting first, with some campaign work, through ChatGPT, Claude and Grok

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, LinkedIn Ads and ChatGPT 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. In ChatGPT it works through the published Opus Growth plugin (opus-growth.com/chatgpt). In Claude (web and desktop), in Grok (grok.com/connectors) and in other MCP-compatible apps such as Cursor, you add https://mcp.opus-growth.com/mcp as a custom connector. The same tools are available 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 credits 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 credits and MCC support. Yearly plans are $490 and $990, billed in USD through Paddle as merchant of record. There is also All-in-One at $149 a month, which adds an AI Server and 15,000 SEO credits every month, and Enterprise for teams, priced on request.