Daily

Spot tired ad creatives each morning

Ads that people have seen too often and click less are flagged before they waste more budget.

Runs: Daily
Apps: Meta Ads
AI: Not needed
Access: ads_read

Send this to your assistant

Create a ClickRuntime automation: every morning at 7am, check my Meta ads and post to #ads in Slack any ad with a frequency above 3 whose click rate fell more than 15% below its 14-day average.

Paste it into your assistant. It tells you what it will send or change before it runs live.

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First time? Adding ClickRuntime to your assistant takes about two minutes.

Why use it

Why teams use this automation

An ad that worked beautifully in week one can quietly stop working by week four. The same people see it again and again, frequency climbs from 1.5 to 4, the click rate sags and the cost per result creeps upward. Meta does not warn you, so a media buyer who checks only totals keeps paying for an ad that audiences have learned to ignore, and the budget drains for days before anyone looks at the ad itself.

Each day, ClickRuntime pulls ad-level insights for yesterday and the previous 14 days, compares frequency and click-through rate, and posts the ads that show the fatigue pattern, with frequency up and click rate down, to Slack. Healthy ads are left out of the message.

It is aimed at performance marketers and e-commerce teams that depend on creative testing.

What you get out of it

Wasted spend is cut early
Every day a fatigued ad keeps running costs money for clicks that will not come. A daily flag lets you swap in a fresh creative within a day or two rather than after a full week.
Creative refreshes are planned, not panicked
When you know which ads are wearing out, your designer can prepare replacements ahead of time. That is calmer and cheaper than urgent requests on a Friday evening. The change is calm instead of rushed.
Cost per result stays steadier
Replacing tired ads before performance falls keeps your acquisition cost closer to its earlier level. That makes budgets predictable and profit margins easier to protect. That keeps your profit margin steadier from week to week.
The signal is specific
Frequency alone or click rate alone can mislead. Looking at both against the previous 14 days highlights ads where audiences have clearly seen too much, not just ads having a slow day.
Winning concepts become clear
Seeing how long each creative lasts before it is flagged tells you which angles hold attention. You can brief future ads on that evidence instead of opinion. Over several weeks this becomes a useful creative playbook.
No need to open every ad set
Scanning ad-level numbers by hand takes time. The Slack post only names the ones that need a decision, so you act on three ads instead of searching through fifty. That leaves your attention free for the creative decisions themselves.

How it works

What happens, step by step

Every morning, ClickRuntime pulls yesterday's results for each of your Meta ads alongside the last 14 days.
It flags ads that people are seeing too often and that get noticeably fewer clicks than usual.
The flagged ads are posted to your Slack channel with their frequency and click rate compared with their average, so you know which creative to refresh.

Before it runs live

Connect Meta Ads

What you get

RunsDaily

Spot tired ad creatives each morningtoday, 9:00Succeeded

Slack · #adsAds showing fatigue: Autumn sale - video 2: frequency 3.8, CTR 0.71% vs 1.12% avg

Build your own

Need it to work differently?

This template is a starting point. Copy the prompt and change it, or describe a different automation from scratch, with your own conditions, more apps or an AI step. Your assistant writes it, tests it and runs it on ClickRuntime.

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
Add an AI step, for example to summarize, sort or draft a reply
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

This is the Python script that runs each time the automation starts. Your AI assistant writes it for you when you send the prompt, and you allow each step in your assistant. To change how the automation works, describe the change to your assistant and it updates the script for you. For every function it can use, see the script reference.

creative_fatigue_alert.pyexample

from clickruntime import on_trigger, notify, http, credentials

ACCOUNT = "act_123456789"

def insights(token, preset):
    return {r["ad_id"]: r for r in http.get(f"https://graph.facebook.com/v21.0/{ACCOUNT}/insights", params={
        "level": "ad", "date_preset": preset, "fields": "ad_id,ad_name,frequency,ctr,impressions,spend",
        "limit": 500, "access_token": token,
    }).json()["data"]}

@on_trigger
def run(event):
    token = credentials.connection("meta-ads", "main")
    yesterday, baseline = insights(token, "yesterday"), insights(token, "last_14d")
    flagged = []
    for ad_id, y in yesterday.items():
        avg_ctr = float(baseline.get(ad_id, {}).get("ctr", 0))
        if float(y["frequency"]) > 3 and avg_ctr and float(y["ctr"]) < avg_ctr * 0.85:
            flagged.append(f"{y['ad_name']}: frequency {float(y['frequency']):.1f}, CTR {float(y['ctr']):.2f}% vs {avg_ctr:.2f}% avg")
    if flagged:
        notify.slack("Ads showing fatigue:\n" + "\n".join(flagged), channel="#ads")
    return {"flagged": len(flagged)}

FAQ

Common questions

How does it decide an ad is fatigued?

It compares yesterday's frequency and click-through rate with the previous 14 days. If frequency has risen and click rate has fallen beyond the margins you set, the ad is flagged. The margins can be tuned to your account.

Will new ads with little data be flagged?

Ads need enough impressions for the comparison to mean something. You can set a minimum number of impressions so very new or low-volume ads are skipped instead of producing noisy alerts. A higher minimum keeps results steadier.

Does it pause the ads automatically?

No. It only reports. Pausing or replacing an ad is left to you, because a person is better placed to decide whether a dip is fatigue or a temporary change such as a holiday. You stay in control of every change.

What permissions does it need?

ads_read. Nothing else in your accounts is used.

Does it need AI?

No. It runs without AI, so it doesn't use your plan's AI allowance.

How many runs does it use?

One run each time it runs (daily). Checks that find nothing to do and stop right away aren't counted.

Can I change how it works?

Yes. Describe the change to your AI assistant, for example a different schedule, channel or filter. It updates the automation, tests it and tells you what changed.

Weekly