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Automations / Available nowBusinesses and agencies running paid ads

Ad reporting agent

Collects your Meta and Google Ads numbers, writes a plain-language report and sends it every week, flagging anything that needs attention.

manual exports
0
manual exports
or any schedule you pick
Mon 08:00
or any schedule you pick
alerts on spend spikes
Same day
alerts on spend spikes
typical set-up
~1 week
typical set-up

Typical figures from our builds. Yours depend on volume and tools.

The problem

Every Monday someone logs into Meta and Google Ads, exports numbers into a spreadsheet and writes the same report by hand. It takes hours, arrives late, and a campaign quietly burning money can go unnoticed for a week.

What it does

  • Every platform in one report

    Meta Ads and Google Ads pulled automatically, with Google Analytics where you use it. No exports, no copy-paste.

  • The numbers that matter

    Spend, results, cost per result and return on ad spend per campaign, week over week.

  • Written like a person would

    A short summary of what changed and why it matters, so the report is read, not skimmed.

  • Alerts between reports

    A message the same day when spend spikes, costs jump or a campaign stops delivering.

Example run

Watch it do the job.

Example run

Weekly report, Meta + Google Ads (example data)

Week 38 vs week 37, all active campaigns

+18%

Meta: return on ad spend--
Google: return on ad spend--
Search: cost per lead--
Budget used this week--
  1. Numbers pulled from Meta and Google Ads
  2. Compared with last week, per campaign
  3. One problem found: search cost per lead up
  4. Report written and sent to the team
Return on ad spend
Up 18% week over week
Best campaign
Meta retargeting
Flag
Search cost per lead up 22%
Status
Sent to #marketing

How it works

Call, set-up, then it runs.

  1. Step 130 minutes

    Demo call

    We show the automation working live, look at the tools you use today, and tell you honestly whether it fits.

  2. Step 21 to 2 weeks

    Set-up

    We connect it to your accounts and data, test it on real examples, and a person checks its output before it runs on its own.

  3. Step 3Monthly

    Run & improve

    We keep it running, watch its numbers, and tune it as your business changes.