Description

RFM

With this tool, you can quantify the value of different consumer segments and still cross-filter them. For example, you can find out how recently German customers have made purchases, how frequently those with business cards shop, and what their turnover is.

Recurring Customers

Would you like to measure the effect of your campaigns in terms of generating more recurring customers? Have you ever wondered if a new or current loyalty program is worth the effort? Would you like to be proactive in avoiding churn among your most loyal customers? If so, then this feature is for you. You can find out how many customers have been in your shop before and see the corresponding revenue from these loyal customers to quantify their value.

FAQs

• How often do international consumers shop in one of your in-store outlets?

  • Filter on international consumers and POS transactions, and the different buckets will show the pattern

• How often do non-local consumers shop in-store for specific outlets?

  • Filter on non-local consumers, POS transactions, and the IDs for the specific outlets, and see the behavior in the buckets.

Default Response

RFM

{
    "values": [{
        "transaction_year": 2019,
        "frequency_bucket": 0,        
        "frequency_min": 0,
        "frequency_max": 0,        
        "number_of_cards": 0
    }]
}

Recurring Customers

{
  "values": [
    {
      "group_name": "string",
      "transaction_year": 2019,
      "transaction_month": 2,
      "number_of_cards": 0,
      "number_of_transactions_before": 0,
      "card_turnover_before": 0,
      "number_of_transactions_in_period": 0,
      "card_turnover_in_period": 0
    }
  ]
}