AI automation for digital marketing agencies. Each client report is built from your ad platforms and client database into your own template, with budget recommendations, and your team checks it before it goes out. You pay for the setup once it fits.
Free one-hour training for your team on Claude, the AI assistant made by Anthropic. A real training, not a pitch. ChatGPT and Copilot users are welcome.
Set up for Method Revenue. Its founder, Garrett Ira, describes the change in the video below.
Deals come from HubSpot and ad spend from every channel. Both land in one workbook in the agency's own Drive folder, and the agency's report template is filled from it: business insights, paid performance and competitor intelligence.
Every figure in the report is checked against that workbook. If one figure doesn’t tie out, the report stops and nothing goes to the client.
My time is cut in half for a higher quality deliverable.Garrett Ira, founder, Method Revenue, a marketing agency
Your judgment, and more of it. The hours that went into building reports go back into the account: what changed, what to try next, and what to tell the client.
Your marketing report template, filled from your platforms, every cycle.
Every keyword scored on what it returned, with the changes written as sentences an account manager can hand to a client.
Pay-per-click bids adjusted on low-volume keywords, only where you allow it, with every change logged.
What each channel returned and what moving the money would do.
Proposal and pitch decks, built the same way as the reports.
Google Ads, Microsoft Ads, Meta, Windsor.ai, HubSpot, Google Sheets, Google Slides and PowerPoint. Your client database and ad data feed one workbook rather than two.
No. Your template is the specification.
One definition per metric, agreed before anything is compared.
Only where you allow it. Negative keywords are the single automatic action.
The output is your file, so it already is.