Understanding pre-calculated IFR attributes

IFR (Individual Frequency Recency) segmentation has been developed by Splio. It enables you to identify the purchase patterns (subscription or recharge) of each of your clients: are they on time or behind with their personal purchase patterns?

IFR segmentation is calculated daily for each client, based on:

• Recency, i.e. the date of the last subscription or recharge,

• Frequency, i.e. the last subscription or recharge, with a minimum of 2 events.

Once calculated, each customer is assigned to one of the following five segments:

• Regular corresponds to clients who are on time in relation to their usual purchasing rhythm.

• Wake-Up identifies clients who are behind schedule.

• Win-Back identifies clients who have far exceeded their usual refill time.

• One_Time_Event groups together all non-segmented clients (single purchase).

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Why use IFR segmentation?

IFR segmentation can be used in your audiences to refine the eligibility of a Recurring or One-Shot opportunity.

Here are a few use cases:

• Boost repurchase of clients who are lagging behind their usual recharge, using the Wake-Up segment.

• Deploy anti-churn actions for clients who are very late, based on Win-Back segment eligibility.

• Exclude clients who are in their usual purchase rhythm from promotional offers to avoid cannibalization, using the Regular segment.