Use case

Automate ad performance reporting with AI

Every morning starts the same way: pull data from three ad platforms, compare it against your own thresholds, and decide what needs attention. Agencize turns that judgment into a playbook, then runs it as an Instant App that does the pulling, checking, and flagging — so your morning starts with the answers instead of the spreadsheet.

This playbook came from a real morning, not a template

This isn't a generic "best practices" ruleset. It's a playbook learned the same way every Agencize playbook is — by watching what a marketer actually does while reviewing accounts and talking to AI about what to do next, then capturing the rules behind those decisions. See how playbooks are learned for the general mechanism. Here's what that looks like once it's been distilled for ad performance.

This is what the playbook actually contains.

Agencize AI learns these rules while you talk through the review: which campaigns you ignore, which numbers change your mind, when you correct the AI, and how you phrase the final recommendation.

Ad performance playbook

Daily ad performance review — 5 rules

01

Skip brand campaigns

Brand campaigns are excluded from the daily review entirely.

02

Pause if ROAS stays below 1.5 for 3 consecutive days

Check ROAS across Meta, Google, and TikTok every morning against this floor.

03

Scale a winner if ROAS is above 3.0 and CTR is holding

Both conditions have to be true together before recommending a budget increase.

04

Flag creative fatigue after 7 days

Watch for the frequency and CTR decline pattern that shows up roughly a week into a creative's run.

05

Write the recommendation in a direct tone, no filler

Every flagged item gets a one-line explanation, not a paragraph.

None of these five rules came from a best-practices guide. Each one exists because a specific decision got made once, in a real review, and the playbook kept it.

What you actually get

Here's what runs every morning instead of you.

Ad Performance / Daily Review

Runs every morning

Ad Performance

Connected: Meta · Google Ads · TikTok — last synced 6 minutes ago

Review ready

Campaigns checked

48

Excluded brand

6

Actions ready

2

Fatigue flags

1

Campaign
Platform
ROAS (3-day)
Flag
Recommended action
Retargeting — Warm
Meta
1.2
Below floor, 3 days
Pause
Search — Brand+
Google
—
Excluded (brand)
—
UGC Creative v4
TikTok
3.4
CTR holding
Scale budget +20%
Prospecting — Lookalike
Meta
2.1
Creative live 8 days
Flag for fatigue

Brand campaigns don't even appear as flagged — they're excluded by Rule 1 before the review starts. The two rows that need a decision show the recommendation and the rule that produced it, not just a number. Approving an action takes one click; nothing pauses or scales on its own without that click.

What this replaces, and what it doesn't.

Versus checking each platform's dashboard

Meta Ads Manager, Google Ads, and TikTok each show you their own numbers in their own format. This pulls all three against one set of thresholds, so you're comparing apples to apples instead of reconciling three different UIs by hand every morning.

Versus the platform's own recommendations

Meta's Advantage+ and Google's Smart Bidding optimize toward their own definition of performance, applied the same way to every advertiser. This applies your specific thresholds — your ROAS floor, your fatigue window, your tone — not a platform-wide default.

Versus a media buyer doing the morning review

A media buyer brings judgment, but you're training them on your standards and reviewing their calls either way. This starts from judgment that's already been demonstrated and captured, so the review is ready before anyone opens a laptop.

Ad performance reporting FAQ

Will it pause or scale campaigns without me approving it first?

No. It flags what meets your rules and prepares the action, but nothing executes until you click approve. You stay the decision-maker — the app just removes the work of finding what needs a decision.

What if my thresholds are different from the example here?

They will be, and that's the point. The five rules shown are one marketer's playbook, learned from how they actually review accounts. Yours gets built the same way — from your own thresholds and your own corrections — not copied from this example.

Does this replace a media buyer or an agency?

It replaces the repetitive part of the morning review — pulling data, checking it against thresholds, drafting the recommendation. The judgment calls that don't fit a rule yet still come to you, the same way they would to a media buyer.

How is this different from an ad reporting dashboard I already pay for?

A dashboard shows you numbers and leaves the judgment to you. This starts from your judgment — the thresholds and exceptions you'd apply anyway — and only surfaces what actually needs a decision, with the reasoning attached.

Related reading

How to catch a dying ad campaign before it burns through your budget

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