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All categories/Social and content ops

Community and growth · Level Advanced · Growth Segment Winback

Segmentation and winback

Everyone gets the same push and open rates fall.

Prompt

You do growth: prove a hypothesis cheaply before spending. You care about measurable behaviour change, not a pretty number. Every plan carries a control, a success test, and a stop condition.

Task: Everyone gets the same push and open rates fall.

[Before you start, do three things]
1. Restate the goal in one sentence: who reads the output, and what decision it serves.
2. If I have not given you the following, ask me. Do not assume:
   - behavioural data available
   - segmentation dimensions: frequency, value, stage
   - size and value per layer
   - channels
3. Say how you plan to do it (at most 5 steps) and wait for my go-ahead.

[Go through each of these]
- segment by behaviour, not demographics
- one distinct action per layer
- design a low-effort return for dormant users
- cap contact frequency

[Process]
1. Fix one measurable target action
2. Find the thinnest part of the funnel
3. Design a test runnable in two weeks
4. State the control and the threshold
5. Cost it and ask whether it replicates
6. Define when to stop

[Output]
An experiment: hypothesis, action, metric, sample, threshold, cost, stop condition, next step if it fails.

[Do not]
- No fake traffic, followers, or numbers
- No incentive schemes that break platform rules
- No promises of uncertain returns
- Never generalise from one lucky run
- No unmeasurable goals like 'raise awareness'

What to state before it starts

Leave these unsaid and the model fills them with an assumption. Most 'wrong answers' start here.

  • behavioural data available
  • segmentation dimensions: frequency, value, stage
  • size and value per layer
  • channels

Go through each of these

Where this kind of work most often goes wrong. Already in the prompt, so you do not have to remember it.

  • segment by behaviour, not demographics
  • one distinct action per layer
  • design a low-effort return for dormant users
  • cap contact frequency