Claude for marketing: from drafting copy to running the account

It reads the account itself, not a screenshot

Ask what happened last month and Claude goes straight to the account: spend, clicks, orders, revenue and ROAS per campaign, with the change against the previous period. No CSV export, no pasting a table into the chat, no relying on a report someone built months ago.

If an account is not connected or the data you asked for does not exist, the tool says so plainly. Gaps are never filled with estimated numbers; what you get back is either real data or an explanation of why there is none.

Wasted spend found and cut in the same conversation

The classic monthly chore is pulling the Google Ads search terms report and picking the queries to exclude from hundreds of rows. Ask for it in one sentence and you get the terms that spent money without converting, ranked by cost.

Then tell Claude which ones to add as campaign-level negative keywords. The addition comes back as a preview first and is written to Google Ads only after you approve it.

Five ad networks behind one connection, not just Google

Google Ads, Meta Ads, Microsoft Advertising, TikTok Ads and LinkedIn Ads all sit behind the same connection. A question like “where is our cost per result worst this month?” gets one answer instead of four dashboards and a spreadsheet.

How deep it goes depends on the platform, but none of them stops at campaign level. Google Ads has bid strategies, keywords, negative lists, responsive search ads, extensions and Performance Max asset groups; Meta has ad set targeting, website and lookalike audiences, and carousel and video ads; Microsoft Advertising, TikTok and LinkedIn have ad group, targeting and audience tools.

Measurement lives in the same chat

Search Console, GA4, Tag Manager, YouTube and Business Profile connect as well. That matters, because the reason a campaign slips is often not in the ad account at all: it is a broken conversion tag or a landing page that lost its ranking.

Claude can set GA4 next to Google Ads, verify the conversion tag in Tag Manager, and list the Search Console pages that are losing clicks while showing which of them also run ads.

Nothing changes without your say-so

Every write returns a preview first, showing what changes, in which account, from the current value to the new one, and the approval is enforced on the server. A single budget increase above 50 percent is refused, and a budget can at most double within 24 hours, so a misread sentence cannot multiply your spend overnight.

Every action is written to an audit log with the previous value kept; reverting takes one sentence or one click in the dashboard, and Tecrube sends the real reverse request to the platform (the previous budget, a resume, removing an added negative). Actions with no reverse, such as a permanent removal, are flagged as irreversible in advance. If you like, set an approval policy that applies small changes automatically and always asks about the rest.

The same connection works in Claude Code and beyond

If your team lives in the terminal, one command registers the connector in Claude Code, and the agent that already reads your repository gains ad tools. Handy when you want an audit that is scripted and repeatable rather than clicked through.

The connector is built on the Model Context Protocol, so the same address works in ChatGPT developer mode and in Cursor. You do not need a separate account per assistant.

Set it up in 60 seconds

• 1. Add the connector to Claude: go to Settings → Connectors → Add custom connector, paste https://tecrube.com/api/v1/mcp and sign in with your Tecrube account. In Claude Code, run claude mcp add --transport http tecrube https://tecrube.com/api/v1/mcp instead and authenticate with /mcp.
• 2. Connect the accounts it may touch: ask in the chat to connect your Google Ads account. Claude returns an authorisation link, and nothing is connected until you sign in and approve. Repeat for Meta, Microsoft, TikTok or LinkedIn if you advertise there too.
• 3. Start with a read, then make one change: ask for last month's performance first and check the numbers against what you already know. Then ask for one small change, look at the preview and approve it. That single loop tells you more about whether to trust it than any feature list.

Ask in plain English

• “What did we spend last month across Google, Meta, Microsoft, TikTok and LinkedIn, and which one had the worst cost per result?”
• “Pull the search terms from the last 30 days and show me the queries that cost money and never converted.”
• “Add these queries as campaign-level negative keywords, but show me the preview first.”
• “Our conversions dropped last week. Compare GA4 with Google Ads, check the conversion tag in Tag Manager and tell me where the break is.”
• “Based on our brand profile, draft three headlines and two descriptions for a new search campaign.”
• “Compare this month with last month and tell me what actually changed, not just the percentages.”