Create Customer Group - Smart RFIM Grouping

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SHOPLINE's "Customer Group" feature will allow you to use a variety of filters to segment your audience accurately. You can also export relevant reports of specific customer groups so that you can formulate the best marketing strategies and promotional activities for this customer group.

In this article, you will learn the Smart RFIM filter conditions for the customer groups.

 

1. Customer group - Smart RFIM introduction 

There are 8 Smart RFIM customer grouping filter conditions:

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Name

Definition

Update frequency

Engaged Customer

A Customer who hasn't purchased but has visited or interacted with your store within 3 times of the store's Repurchase Cycle

*Visit means interactions on social media platforms (messages and comments) and online store visits.

Customers who have only interacted on the social media platform but have not left information in the online store to bound as online customers will not be included. 

Daily

New Shopper

One-time Shoppers who are ready to repurchase lately

Daily

Active Shopper

Repeated Shoppers who just purchased recently 

Daily

Potential Shopper

One-time Shoppers who might repurchase lately

Daily

Ready-to-Repurchase

Repeated Shoppers who might repurchase lately

Daily

Lost Shopper

One-time Shoppers who haven't purchased or interacted with your store for a while

Daily

Sleeping Shopper

Repeated Shoppers who haven't purchased or interacted with your store in a while

Daily

Loyal Shopper

Repeated Shoppers whose lifetime order is greater than or equal to the top 25% or 3 orders, and have just purchased recently 

Daily

Top Shopper

Repeated Shoppers whose lifetime order and total spend are in the top 10 % of the store, and have just purchased recently 

Daily

*Notes: 

  • Repurchase cycle*: The repurchase cycle is calculated by taking the median of the number of days between each purchase of all repeated shoppers within 2 years to predict customer repurchase status. 
    For new merchants who haven't accumulated orders for more than 6 months, the Smart RFIM model will use the average repurchase cycle as the new merchant's repurchase cycle until this new merchant has orders for more than 6 months.
  • The system will multiply the store's "predicted repurchase cycle" by 0.8 to automatically calculate the actual number of "recent" days

 

Summary and example of Smart RFIM Grouping

An overview of definitions for Smart RFIM segments based on repurchase status, lifetime order count, and spending amount.

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*Note: The Smart RFIM grouping might occur overlapping eligibility. If you do not wish to send repeated marketing campaigns such as store credits, member points, and broadcasts, please avoid selecting the filter conditions that cause this situation. We recommend you use the "exclude" feature to avoid filter conditions for eligibility overlapping. 

Eligibility overlap scenarios:

  1. A customer could be an Active Shopper & Loyal Shopper simultaneously 
  2. A customer could be a Ready-to-Repurchase Shopper & Loyal Shopper simultaneously 
  3. A customer could be a Loyal Shopper & Top Shopper simultaneously
  4. A Customer could be an Active Shopper & Loyal Shopper & Top Shopper simultaneously 
  5. A customer could be a Ready-to-Repurchase & Loyal Shopper & Top Shopper simultaneously 

 

2. "High/ Mid/ Low" options for Purchase Behavior filter condition

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Name

Definition

Update frequency


"High/ Mid/ Low" smart options for Money Spent

Divide the spent amount of store customers into quartiles

  • High: Cumulative spent amount is higher than the first quartile (top 25%)
  • Mid: Cumulative spent amount is between the third and first quartile
  • Low: Cumulative spent amount is lower than the third quartile (lower 25%)

Daily

"High/ Mid/ Low" smart options for AOV

Divide the AOV amount of store customers into quartiles

  • High: AOV is higher than the first quartile (top 25%)
  • Mid: AOV is between the third and first quartile
  • Low: AOV is lower than the third quartile (lower 25%)

Daily

 

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