Use BI to identify inactive customers by purchase cycle, availability and portfolio, prioritizing commercial actions without treating every absence as a loss.
Index
A customer who hasn't purchased in a month may be inactive or within their normal cycle. Applying the same limit to the entire portfolio creates large and unuseful lists. The analysis must consider frequency, profile and changes in the offer before suggesting contact.
Decision this guide helps you make: Select accounts for reactivation based on behavior and business context.
Define inactivity by behavior
Compare purchase intervals by relevant groups and consider seasonality where history exists. New accounts need different treatment than recurring ones. Record the criteria used in the listing so the seller understands why the account appears. The indicator should support prioritization, not automatically label the relationship.
Investigate reasons the data may reveal
Lack of stock, recent returns, change of representative and catalog reduction may explain the drop. Combine sources only when the link between customer and operation is reliable. Don't conclude intention from an isolated number. The commercial approach needs to confirm the scenario with the person responsible for the account.
Deliver a usable queue to CRM
Each reactivation opportunity must have a responsible person, reason and sufficient context. Avoid creating repeated tasks with each dashboard update. Define when an account leaves the queue and how the contact result returns to analysis. Thus, BI participates in a commercial process instead of generating an abandoned export.
Measure quality of opportunities
Monitor relevant contacts, confirmed reasons and account evolution, respecting the company's communication strategy. Differentiate the sale that would occur naturally from the result attributed to the action when the method allows it. Don't promise revenue by marking customers in red; the value depends on the intervention and context.
- Inactivity criteria per profile.
- Reason and responsibility in each action.
- Return of contact to the analytical process.
A scenario to check out in the demo
Hypothetical example: one account purchases quarterly and another weekly. The same sixty-day cutoff would mark the first as inactive earlier than expected and would take time to signal the second. Segmentation should reflect known behavior. The commercial list needs to explain this criteria and allow the person responsible to confirm whether there is an opportunity for resumption.
Briefing to request a proposal
- Customer groups with comparable purchasing cycles.
- Information on availability, returns and wallet changes.
- Procedure to record results and avoid duplicate contacts.
Start with a known wallet
Quantum9 can organize the analysis and connect it to your existing CRM. Choose a group with responsible people available to validate the suggestions. The pilot must show whether the queue helps talk to the right accounts, before expanding automation.
Discover the scope of CRM, retention and repurchase and deepen the context in related guide.