How do you automate client reports?

A monthly client report has two halves. One is mechanical: export from each ad platform, paste into a sheet, line up the dates, rebuild the charts, send. The other is judgment: what moved, why, and what the agency will do about it. The first half is where the hours go, and it's the half a machine does better than a person, because a machine doesn't paste last month's column by mistake.

The second half is the reason the client pays. A report that is fully automated, numbers and commentary alike, reads like one, and clients notice. The goal is a report that builds itself on the first of the month and waits for someone to read it, fix the summary and press send.

Do this once per client. Most of the work is deciding things you have been deciding again every month without noticing.

1. List the sources: which ad accounts, which Google Analytics 4 property, Search Console, the store. When one ad account serves several clients, write down which campaigns belong to this one.
2. Fix the definitions before the charts: which event counts as a conversion, which attribution window each platform uses, and whether revenue is the platform's figure or the store's. Then never add platform-reported conversions to GA4's: they count the same sale differently.
3. Keep enough history: a standard Google Analytics 4 property keeps event data for explorations for either 2 or 14 months, per Google's data retention help page. Set it to 14 the day you take the client on, and store each month's report as sent, so a year-over-year comparison is still possible next year.
4. Use the same sections in the same order every month, so the client learns where to look. Five is plenty: summary, spend against budget, results by channel, what changed, next steps.
5. Schedule it with a review step: the report builds itself, a person approves the summary, then it goes out. Nothing reaches the client unread.
6. Set alerts for between reports: pacing off, conversions at zero, a sudden drop. A client should never learn about a broken pixel from the monthly report.

Automated numbers are only as fresh as their sources, and the sources are slower than they look. Google's own help page on Google Ads data freshness says conversion data is ready about 3 hours after the event under last-click attribution and about 15 hours under other models, and conversions imported from Google Analytics take longer still. Looker Studio's default freshness for a BigQuery source is 12 hours. And definitions move: Meta's developer blog announced that from 12 January 2026 its Ads Insights API no longer returns the 7-day view and 28-day view attribution windows, so a report built on them before that date can't be rebuilt the same way after it.

The practical rule: build the report a few days after the month closes, not at midnight on the first, and say on the report when the data was pulled. A number that changes after the client has seen it costs more trust than a report that arrives on the third.

The part a person writes is short, and it answers three questions in this order: what changed since last month and why, what the agency did about it, and what happens next, including anything you need from the client. Three short paragraphs are enough. If the summary could have been written without opening the report, it isn't doing its job.

Compare two sentences. "Performance was strong this month across channels" tells the client nothing. "Cost per lead fell from $48 to $39 after we moved budget from the broad audience to the retargeting list; we'll test a second offer in November and need the new landing page by the 10th" tells them what happened, what you did and what you need. Example figures, but the shape is the point: a number, a cause, an action, a date.

In , the setup above is the product. It connects Meta, TikTok, LinkedIn, YouTube, X, Google Ads and Pinterest, plus GA4, Search Console and Shopify, syncs every night and lets a client connect their own accounts through a branded link. You pick the report's sections once, scheduled sends wait for your approval, and the AI summary is a draft you can rewrite. Platform-reported numbers and GA4's are kept side by side, never blended, and the product is read-only toward every platform: it never changes a budget or pauses a campaign.

Reports can also carry an AI visibility section, for clients who ask whether ChatGPT recommends them. For a first answer before any setup, the free brand scan runs one real check on a domain. Two limits: there is no Microsoft Ads or Snapchat connection, and Klaviyo, Mailchimp and HubSpot are still rolling out.