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Introduction to Spending

Get an overview of your customers' regular and irregular expenses. This report ist appropriate for B2B and B2C use cases.

What it solves

To get to know the customer, it is important to know what their preferences are. This can be done with the Spending Report. In this report, all expenses are read out and categorized. This makes it possible to conclude, among other things, the customer’s lifestyle, which things he prefers, and on what he spends a lot or little money.

Spending Report

The spending report is based on the label SPENDINGREPORT and its further sub-labels with a higher level of detail.

The report gives an overview of data such as the number of relevant transactions. What types of spending are there? How frequent and how high is the spending?

Other data includes the account information and the transactions used in the report. This is very helpful if you want to check the values, for example, as part of a detailed credit check.

In addition, further reports can be created based on an initial report. These continuous reports can then be provided with triggers that always compare the values of the previous report with the current one and look for defined changes.

This is useful if you have access to the client's account data over a longer period of time.

It is important that not only days but ideally months are considered.

Aggregations

A Spending Report with monthly sections can be generated as an Aggregation with the following query:

JSON
{
  "aggregations": [
    {
      "alias": "Rent and Living",
      "includeLabelGroup": [ "RENT_AND_LIVING" ]
    },
    {
      "alias": "Insurances",
      "includeLabelGroup": [ "INSURANCE" ]
    },
    {
      "alias": "Savings",
      "includeLabelGroup": [ "SAVINGS" ]
    },
    {
      "alias": "Travel",
      "includeLabelGroup": [ "TRAVEL" ]
    },
    {
      "alias": "Tax",
      "includeLabelGroup": [ "TAX" ]
    },
    {
      "alias": "Bank and Credit",
      "includeLabelGroup": [ "BANKING" ]
    },
    {
      "alias": "Loan and Interest",
      "includeLabelGroup": [ "LOANANDINTEREST" ]
    },
    {
      "alias": "Mobility",
      "includeLabelGroup": [ "MOBILITY" ]
    },
    {
      "alias": "Shopping",
      "includeLabelGroup": [ "SHOPPING" ]
    },
    {
      "alias": "Entertainment",
      "includeLabelGroup": [ "ENTERTAINMENT" ]
    },
    {
      "alias": "Health and Wellness",
      "includeLabelGroup": [ "HEALTHANDWELLNESS" ]
    },
    {
      "alias": "Children",
      "includeLabelGroup": [ "CHILDREN" ]
    },
    {
      "alias": "Personnel Costs",
      "includeLabelGroup": [ "PERSONNEL_COST" ],
      "excludeLabelGroup": [ "TRAVEL_EXPENSES" ]
    },
    {
      "alias": "Travel Expenses",
      "includeLabelGroup": [ "TRAVEL_EXPENSES" ]
    },
    {
      "alias": "Legal Expenses",
      "includeLabelGroup": [ "LEGAL" ]
    },
    {
      "alias": "Billings",
      "includeLabelGroup": [ "BILLING" ]
    },
    {
      "alias": "Rebookings",
      "includeLabelGroup": [
        "REBOOKING_SPENDING",
        "PRIVATE_WITHDRAWAL_SPENDING",
        "PRIVATE_DEPOSIT_SPENDING"
      ]
    }
  ]
}

Used data fields

Spending transactions of the customer are used for this purpose. This includes data like IBAN, account holder name, counterpart name, purpose, amount, and so on.

The report response itself is divided into the following sections.

Main Section

The main part of the report can be found at $.reports.spending and the type will be SPENDING.

This gives you a quick overview of the transactions used in the report through aggregated values that can serve as a summary.

A full API schema can be seen here: https://docs.finapi.io/?product=di#get-/cases/-caseId-/reports

Field

Description

Mandatory

creationDate

Timestamp of when the report was created, in the format 'YYYY-MM-DD HH:MM:SS.SSS' (CET Europe / Berlin).

yes

caseId

ID of the case in which the report was created.

yes

type

Defines the type of the report.

yes

startDate

Timestamp of the start date of the reporting period under review in the format 'YYYY-MM-DD HH:MM:SS.SSS' (CET Europe / Berlin).

no

endDate

Timestamp of the end date of the reporting period under review in the format 'YYYY-MM-DD HH:MM:SS.SSS' (CET Europe / Berlin).

no

daysOfReport

The number of full days, that the reporting period under review contains.

no

transactionsStartDate

Timestamp of the date, when user's first transaction took place in the report period under review in the format 'YYYY-MM-DD HH:MM:SS.SSS' (CET Europe / Berlin). This field takes into consideration all the transactions of the user, irrespectively of the assigned to them label.

no

totalTransactionsCount

The number of the user transactions, that took place in the report period under review. This field takes into consideration all the transactions of the user, irrespectively of the assigned to them label.

no

countIncomeTransactions

The total count of positive transactions in the report.

yes

countSpendingTransactions

The total count of negative transactions in the report.

yes

totalIncome

The total income.

yes

totalSpending

The total spending.

yes

totalBalance

The total balance.

yes

accountData

List of accounts-related data with the relevant transactions information.

no

childReports

List of reports, created automatically with the specified frequency (defined by interval and intervalPeriod) once the parent report is defined as a continuous one.

no

Account Data Section

The account data section can be found under the accountData field.
It contains data about the account at the first level.
If more than one account is included in the report, they will be displayed individually in the list.

Field

Description

Mandatory

bankName

Name of the bank.

yes

bankId

Unique identifier of the Bank, generated by finAPI.

yes

accountIban

IBAN of the bank account.

no

accountId

Unique identifier of the bank account belonging to the imported bank connection.

no

transactions

List of transactions related to the chosen report type.

no

Transactions Section

This section displays the transactions used in the report and can be found under the accountData element in the field transactions.
Please note that this list may be very long, especially for business accounts.

Depending on what the report is used for, the transactions can be retrieved for later review or documentation, or they can be turned off. The latter would be the case, for example, if you only want to do a quick check of the overall data and do not need any details.

If transactions are not of interest, you can also disable this section by giving the query parameter withTransactions=false to the report.

The transactions include the following values.

Field

Description

Mandatory

valueDate

Value date in the format 'YYYY-MM-DD HH:MM:SS' (CET Europe / Berlin).

yes

bankBookingDate

Bank booking date in the format 'YYYY-MM-DD HH:MM:SS' (CET Europe / Berlin).

yes

amount

Transaction amount.

yes

purpose

Transaction purpose.

no

transactionId

Transaction UUID.

no

counterpartName

Counterpart name.

no

counterpartAccountNumber

Counterpart account number.

no

counterpartIban

Counterpart IBAN.

no

counterpartBlz

Counterpart BLZ.

no

counterpartBic

Counterpart BIC.

no

counterpartBankName

Counterpart bank name.

no

labels

A list of labels assigned by the system. This does not contain the complete label structure in the sense of level of detail.

no

overdraftInformation

Extracted details for transactions with related to overdraft interests.
It includes an object that contains fields such as the overdraft amount and the period of the overdraft.

no

seizureInformation

Extracted details for transactions with related to wage seizure. It contains the seizure amount extracted from the purpose, when possible.

no

chargebackInformation

Chargeback amount extracted from the transaction’s purpose. When it is possible to extract the chargeback amount, the extracted value is used in the calculations of the other fields and monthly objects. When extraction is not possible, the amount of the transaction is used instead.

Monthly Data (Aggregations)

Monthly Data are aggregations generated over the report period for specific sub-aspects of the report.
These are reported on a monthly basis and made available as a summary.

Field

Description

Mandatory

completeMonths

This field contains a list of months for which finAPI has complete records available. This automatically means that the first and the last month of the report period are omitted from the list.

no

monthlyData

Monthly aggregations of various data are listed under this field. These reflect the monthly development of certain criteria in the transactions.

The month, the value, the number of transactions, and the list of transaction ids behind it are always indicated.

no

Subelements of Monthly Data

This section describes the subfields of the Monthly Data section that can appear in the report.

Additionally, aggregations are provided for the sections behind the subelement, which include values such as totalMonthlyAmounts, minTotalMonthlyAmount, maxTotalMonthlyAmount, averageTotalMonthlyAmount,medianTotalMonthlyAmount,totalTransactionsCount and totalTransactionsAmount.

Here we take into consideration the data from both complete and incomplete months inside the report period under review.

Field

Description

Mandatory

totalSpending

Spending data (for all the kinds of spending (totalSpending) or per particular category) organized by months.

yes

rebookings

Rebooking spending of the customer between 2 own or accessible accounts or private withdrawals.

This part is only fully available if an extended analysis has been performed before.
Transactions can be recognized as rebooking, but without the advanced analysis they represent only a fraction.
To perform a full analysis, please use the endpoint /extendedAnalyses/rebooking for rebooking data.

no

rentAndLiving

Rent and living spending data, organized by months.

no

insurance

Insurance spending data, organized by months.

no

bankAndCredit

Bank and credit spending data, organized by months.

no

loanAndInterest

Loan and interest spending data, organized by months.

no

savings

Savings spending data, organized by months.

no

travel

Travel spending data, organized by months.

no

tax

Tax spending data, organized by months.

no

mobility

Mobility spending data, organized by months.

no

shopping

Shopping spending data, organized by months.

no

entertainment

Entertainment spending data, organized by months.

no

healthAndWellness

Health and wellness spending data, organized by months.

no

children

Children spending data, organized by months.

no

personnelCosts

Personnel costs for company accounts.

no

travelExpenses

Expenses for traveling by the employer for company accounts.

no

legal

Expenses, that are related to or in compliance with laws and legal regulations.

no

billings

Expenses, related to billings or material costs.

no

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