Historical Comparison

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Description

The turnover is distributed over a year on a weekly, monthly, quarterly or yearly basis. At the same time the normalised turnover for each week, month, quarter or year is calculated for each year, and to give an identification of how the chosen year develops compared to historic average, the index in percentage for these two values is also in the response.

The sequential turnover is divided by the total turnover, which means that the turnover is normalized instead of being absolute numbers.   

Choose two years and choose the endpoint to get the response in the right format (week, month, quarter or year), and by using the filter, you can choose to only look at a specific period or only include certain segments.  

FAQ

How do I know if there was any change in card turnover when comparing last year to the the year before? 

• The response carries all necessary information, specifically  
  end_year_vs_start_year_index parameter is a result of comparison of these two values  

What is the yearly picture of Danish people travelling to Finland?  

• Different filters need to be applied to create such overview. The issuer card must be set to Denmark and Merchant country to be Finland. Also, one has to filter on private cards only.   

How does the turnover develop over the year for Airlines and Travel Agencies category on weekly basis?   

• The normalized card turnover will indicate development of this value. By applying the category filter, you receive data for desired category only. Also, the data will be shown up till a current week number of the current year. 

Response

Weekly

{

    "result": [

        {

            "trx_week_number" : {week number},

            "trx_year" : {year},

            "normalised_turnover" : {normalised turnover for given year and week},

            "normalised_number_of_transactions" : {normalised number of transactions for given year and week},

            "normalised_number_of_cards" : {normalised number of cards for given year and week}

        } ...

    ],

    "status" : {Response status code},

    "errorMessage" : {Error message, if any error otherwise null}

}

Monthly

{

    "result": [

        {

            "trx_month" : {month},

            "trx_year" : {year},

            "normalised_turnover" : {normalised turnover for given year and month},

            "normalised_number_of_transactions" : {normalised number of transactions for given year and month},

            "normalised_number_of_cards" : {normalised number of cards for given year and month}

        } ...

    ],

    "status" : {Response status code},

    "errorMessage" : {Error message, if any error otherwise null}

}

Quarterly

{

    "result": [

        {

            "trx_quarter" : {quarter},

            "trx_year" : {year},

            "normalised_turnover" : {normalised turnover for given year and quarter},

            "normalised_number_of_transactions" : {normalised number of transactions for given year and quarter},

            "normalised_number_of_cards" : {normalised number of cards for given year and quarter}

        }

    ],

    "status" : {Response status code},

    "errorMessage" : {Error message, if any error otherwise null}

}

Yearly{

    "result": [

        {

            "trx_year" : {year},

            "normalised_turnover" : {normalised turnover for given year},

            "normalised_number_of_transactions" : {normalised number of transactions for given year},

            "normalised_number_of_cards" : {normalised number of cards for given year}

        } ...

    ],

    "status" : {Response status code},

    "errorMessage" : {Error message, if any error otherwise null}

}