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The Scale / Repeat / Fix / Cut Framework

Planning Next Steps

Overview

The Scale / Repeat / Fix / Cut Framework

After every influencer campaign, you need a fast, honest way to decide what to do with each creator, angle, and tactic.

This simple Scale / Repeat / Fix / Cut framework forces a decision on every line item, no more carrying dead weight into the next round out of habit.

The Four Buckets

  • Scale — winning angles and top creators. Put more budget here.
  • Repeat — solid-but-not-spectacular elements worth running again as-is.
  • Fix — process or creative issues to adjust before the next round.
  • Cut — angles, formats, or creators that didn't earn their spot. Stop paying for them.

How to Sort Each Item

Once your influencer campaign results are in, go through your creators, angles, and formats one at a time and drop each into exactly one bucket, judged on your primary metric.

BucketWhat goes hereThe action
ScaleBest cost-per-result creators and proven hooksAdd budget or run the angle across more creators
RepeatReliable performers, nothing specialRun again as-is, no extra spend
FixGood idea, flawed execution or processAdjust one thing, then re-run
CutUnderperformed on the metric that mattersStop spending — don't rebook out of habit
Tip: Don't scale everything that worked all at once. The safest way to scale influencer marketing is to take one proven angle and either give it more budget or run it across more creators — test one variable at a time so you keep learning what's actually driving results.

Why "Cut" Is the Hardest — and Most Valuable

Cutting is where most teams flinch. A creator was friendly, an angle felt clever, a format was fun to make; none of that matters if it didn't earn its spot on your primary metric.

Every dollar you stop spending on a Cut item is a dollar you can move to a Scale item. The framework only works if you're willing to be ruthless about the bottom bucket.

Once you've sorted everything into the four buckets, it helps to see the framework applied end to end. Continue to the Real-World Example.

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