Weekly
Get a plain-English read on this week's ads
A Monday email compares this week with last and explains which campaigns moved and what to look at.
- Runs
- Weekly
- Apps
- Meta Ads
- AI
- Yes, uses the built-in AI allowance
- Access
- ads_read
Send this to your assistant
Create a ClickRuntime automation: each Monday, compare this week's Meta Ads results with the week before and email me a short explanation of what changed and which campaigns need attention.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
Meta Ads Manager gives you columns of numbers, and it expects you to find the story. A small business owner running four campaigns sees spend, reach, results and cost per result, but it takes real effort to compare this week with last week, notice that one ad set doubled its cost per result, and decide what to do about it. Many people just glance at total spend and move on.
Each week, ClickRuntime fetches two weeks of insights from Meta, uses its built-in AI to compare the periods and writes a short commentary in plain words: what changed, what likely caused it and what to try next. The commentary is emailed to you, with no OpenAI or Anthropic key needed.
It is especially helpful for owners and marketers without time for a deep weekly review, and for agencies preparing client notes.
What you get out of it
You get a plain-language read, not just numbers
Instead of staring at columns, you read that cost per result rose 30 percent because one audience tired out. That points to a decision you can make straight away. It reads like a short note from a colleague who studied the account.
Week-on-week changes are not missed
The AI looks at two weeks side by side, so a quiet decline in click rate is noticed before it becomes expensive. Gradual problems are the ones people usually overlook.
Suggestions give you a starting point
Each note proposes something to try, such as pausing the weakest ad or moving budget to a campaign that converts. You still decide, but you do not start from a blank page.
Ad budget goes further
Spending stays with campaigns that deliver and stops flowing to those that do not. Even a small reduction in wasted spend each week adds up over a quarter. The effect is gradual but real.
Useful for client communication
Agencies can reuse the commentary as the base of a weekly note. Clients receive an explanation they can follow instead of a spreadsheet they cannot interpret. That makes reporting faster and conversations with clients more productive.
Learning builds up over time
Reading a short explanation each week teaches you what drives your results. After a few months you start to spot the patterns yourself, even before the commentary points them out.
How it works
What happens, step by step
Once a week, ClickRuntime pulls your Meta Ads results for this week and the week before.
AI compares the two weeks and explains in plain English what went up, what went down and why it matters.
It points out campaigns that need attention, like one whose cost per purchase is climbing.
You get the write-up by email.
Before it runs live
- Connect Meta Ads
What you get
Build your own
Need it to work differently?
Your own rules
Conditions, thresholds, filters and exceptions, written the way you'd explain them to a colleague.
Any number of apps
One automation can read from one app and update several others. Over 248 apps are ready, and anything with an API works too.
AI where it helps
Summaries, classification, extraction and drafts use ClickRuntime's built-in AI, with no extra key.
On a schedule or on each event
Runs as often as every 5 minutes, or the moment an app sends an event, and keeps track of what it already handled.
Changes you can ask for
- Run it at a different time, more or less often, or only on weekdays
- Change what the AI looks for, or how it writes the result
- Add another app, for example also send it to Slack
- Combine it with other Meta Ads steps into one automation
Under the hood
The code that runs this automation
from datetime import date, timedelta
from clickruntime import on_trigger, notify, http, credentials, ai
ACCOUNT = "act_123456789"
def week(token, since, until):
return http.get(f"https://graph.facebook.com/v21.0/{ACCOUNT}/insights", params={
"level": "campaign", "time_range": f'{{"since":"{since}","until":"{until}"}}', "access_token": token,
"fields": "campaign_name,spend,clicks,ctr,actions,cost_per_action_type", "limit": 200,
}).json()["data"]
@on_trigger
def run(event):
token = credentials.connection("meta-ads", "main")
end = date.today() - timedelta(days=1)
this_week = week(token, end - timedelta(days=6), end)
last_week = week(token, end - timedelta(days=13), end - timedelta(days=7))
keep = lambda rows: [{k: r.get(k) for k in ("campaign_name", "spend", "clicks", "ctr", "actions")} for r in rows]
summary = ai.generate(
"Compare this week's Meta Ads results with last week's. In under 200 words, explain what changed "
f"and which campaigns need attention.\n\nThis week: {keep(this_week)}\n\nLast week: {keep(last_week)}",
max_output_tokens=400,
).text
notify.email_me("Meta Ads: this week vs last", summary)
return {"campaigns": len(this_week)}FAQ
Common questions
How much data does the AI look at?
Can the AI make changes to my campaigns?
Is the advice reliable?
What permissions does it need?
Does it need AI?
How many runs does it use?
Can I change how it works?
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Set up “Get a plain-English read on this week's ads” from your assistant
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