← Back to playbooks

NORLA ACADEMY / PLAYBOOK

Swap fatigued ads with a buyer’s sign-off

A scored set of new concepts, fatigue marks on running ads with the numbers behind them, and a swap recommendation the buyer approves.

Creative IntelligenceAny plan (3 agents)About 40 minutes

What you need

  • Template: Creative IntelligenceExtension · $99 one-time. Buy it once in Extensions; it then appears under “Start from” in your workbench.View in Extensions
  • An active Orchestrator planAny plan (3 agents). Templates run only inside Orchestrator; the trial works for a first run.Compare plans
  • Course: Data-Driven Campaigns with AITeaches the method behind this playbook: 3.8 hours · On demand. Optional, but the checks below come from it.View the course

The brief to paste

Replace every bracket. The agents use nothing you do not put here.

Scoring rubric: [criteria and what a 5 looks like for each]. New concepts: [one line each]. Running ads with performance history: [ad, days live, frequency, CTR by week, CPA by week]. Fatigue thresholds: [e.g. CTR down 30% from week 1, frequency above 4]. Metric that decides: [metric].

Steps

  1. 1
    Write the thresholds down

    The Fatigue reader marks ads only against thresholds you state. If a threshold is missing it says so instead of inventing one; add it and run again.

  2. 2
    Install and run

    Buy Creative Intelligence in Extensions and start a workspace from it. Scores and fatigue marks come back with reasons and numbers.

  3. 3
    Approve the recommendation

    The Recommender pairs fatigued ads with the best new concepts and states the exact decision. Approve as the buyer, or return with what to change.

  4. 4
    Make the change in your ad platform

    Pause and launch by hand from the approved recommendation; keep the run log with the campaign notes.

Where a person decides

Before any pause or launch: the buyer approves the recommendation inside the run.

Before you trust the output

  • Every fatigue mark cites the week-by-week numbers from the brief.
  • Scores use only the rubric criteria you defined.
  • The expected effect is stated in your deciding metric, with the assumption named.

What this does not do: The system does not read your ad account, predict results from data it was not given or change campaigns.