Card Customers

Description:
The average number of customers a business has in a day.

See the Merchant Transaction Signals overview page for details about data sources, high-level methodology, and timeliness of this attribute.

Child attributes (and data file structure):

Column Name	Data Type	Description	Example
end_date	string	The time index of the features. All features in the row assume this is the final date, inclusive, of the calculation.	2020-08-31
card*customers**1m*_start_date	string	The date that the 1-month period begins (inclusive).	2020-08-01
card*customers**1m*_average_daily_count	float		1200.11
card*customers**3m*_start_date	string		2020-06-01
card*customers**3m*_average_daily_count	float		1400.77
card*customerss**12m*_start_date	string		2019-09-01
card*customers**12m*_average_daily_count	float		3200.80

JSON Sample:

{/* /* /* /* /* /* /* "card_customers": [
    {
            "end_date": "2020-08-31"
        "1m": {
                "start_date": "2020-08-01"
            "average_daily_count": 10.20 */ */ */ */ */ */ */},
        "3m": {/* /* /* /* /* /* /* "start_date": "2020-06-01"
            "average_daily_count": 30.15, */ */ */ */ */ */ */},
        "12m": {/* /* /* /* /* /* /* "start_date": "2020-09-01"
            "average_daily_count": 70.68, */ */ */ */ */ */ */}
    }
  ]
}

Other notes and tips:

• Enigma uses unique card counts per day, i.e., "daily unique cards," to estimate customer visits. There are a few limitations with this approach:
• If a customer splits a purchase across two different cards, this would show up as two distinct customers. This is because Enigma is estimating customers based on unique cards not unique cardholders.
• The count may not be an integer because Enigma applies a projection factor to the aggregated panel counts to estimate the total counts of each merchant
• Multiplying the average daily customer by 30 can give you a proxy for the number of customers a business has. Note: this method will overestimate the number of customers because it will not take into account repeat customers in that month.