The playbook
Customer Reactivation: Worked Examples
The following customer reactivation examples illustrate how to move from an observed problem to a practical decision. They are hypothetical operating scenarios, not customer results or performance benchmarks. The central question is whether the work helps improve reactivated suitable customers without losing the context needed to judge it.
Put the task in context
Distinguish a customer who left because the project ended from one who left after an unresolved problem. A new feature or changed service may be relevant to the former; the latter needs the problem addressed first. Respect current communication preferences.
Example 1: establish a usable starting point
A team begins working on customer reactivation but cannot consistently describe customer and last value for the same item. The immediate task is define inactivity using the normal buying cycle. The team records the current state, identifies the source of each value, and resolves conflicting information before making a broader change.
The useful output is a customer or opportunity record that another person can interpret. This example does not require assuming an uplift. Success at this stage means the next decision can be made using a shared set of facts, with missing information explicitly identified.
Example 2: correct a specific failure
In a second situation, the team observes contacting all inactive records with the same discount. It proposes the correction: segment by reason for inactivity and current suitability. Before applying that correction everywhere, the owner checks whether the same cause is present in other affected items. A common symptom alone does not prove that all items need the same repair.
| Decision | Illustrative reasoning |
|---|---|
| Observation | Contacting all inactive records with the same discount |
| Likely correction | Segment by reason for inactivity and current suitability |
| Verification task | Review previous experiences and communication preferences |
| Result to inspect | Offer a useful update suited to the customer's history |
After the change, the owner repeats the relevant task and records what happened. If the condition remains, the team returns to the evidence rather than declaring the process complete. The example illustrates a repair cycle; it does not claim a particular commercial result.
Example 3: extend a process after it works
A third team already has reliable records for a small scope and wants to expand. It compares the next group with the first: are customer, last value, reason defined in the same way, and does the intended outcome remain reactivated suitable customers? Differences are written down before the earlier process is reused.
Expansion is appropriate when the assumptions still hold and an owner can review exceptions. Where the new group has different needs, the team adapts the process and tests again. Reusing the structure is useful; reusing a conclusion without checking its conditions is much less reliable.
Apply the examples to your own work
- Write the current problem in observable terms using customer.
- Choose which of the three examples matches the stage of the work.
- Complete this action first: define inactivity using the normal buying cycle.
- Keep the resulting evidence and review reactivated suitable customers on a consistent basis.
Review a small sample of underlying records before trusting a summary. Duplicates, stale close dates, and missing outcomes can make a dashboard misleading even when the calculation is correct. Correct the record-level cause.
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