Skip to main content

Spend-to-Income

Customer Analytics includes a dedicated dashboard for the Spend-to-Income calculation which delivers crucial insights for your products and services.

This dash unlocks the full story with aggregated and discovered account data through Customer Analytics, helping you better assist your customers in the following groups:

  • High Spend-to-Income ratio. May find value in increased engagement with budgeting tools, debt consolidation services, or financial health consultations.
  • Low Spend-to-Income ratio. May find value in high-yield savings products or investment products and services.

By leveraging this data within Customer Analytics, you may more effectively equip your customers with the products or services necessary for them to be financially strong.

Qualified Users​

The Spend-to-Income ratio is calculated at the user level and filtered to the set of users with enough data. The following are the basic requirements for a user:

  • Represented with an active GUID in the USERS table.
  • Have between 200 and 5,000 transactions over the previous 12 months.

Qualified Accounts​

The Spend-to-Income ratio evaluates the financial health of an individual and doesn't include business accounts.

Business accounts are excluded if the account nickname include the following words:

  • “IOLTA” (Interest on Lawyers' Trust Accounts).
  • “INC” (Incorporated) or “LLC” (Limited Liability Company).
  • “Business” These are general business accounts, for example Business Checking.

Qualified Spending​

Spending is defined as transactions with the transaction type labeled as Debit. Some transactions are included or excluded based on type:

  • Bank transfers between the user's accounts are excluded.
  • Credit card debits are included and credit card payments are excluded.

Qualified Income​

Income is defined as transactions where the transaction type is labeled as Credit. The following transaction types are excluded:

  • Bank transfers between the user's accounts.
  • Credit card and loan payments.

Engaged User Metrics​

User engagement metrics use aggregated session dates over a 90-day period to categorize users. User definitions and segmentation are defined in the following engaged, unengaged, and segmentation sections.

Engaged Users​

  • Are qualified and have transactions from at least one qualified account.
  • Have an account(s) with access to basic MX PFM products.
  • Have accessed any MX PFM product via web or mobile device within the past 90 days.

Unengaged Users​

  • Are qualified and have transactions from at least one qualified account.
  • May or may not have an account(s) with access to basic MX PFM products.
  • Haven't accessed any MX PFM product via web or mobile device within the past 90 days.

User Segmentation​

Users are segmented into engagement levels (from high engagement to no engagement) using number of session days over a 90-day period. The number of days for each engagement segment are:

  • High: 10+
  • Moderate: 2 to 9
  • Low: 1
  • No: 0

Analysis​

The dashboard includes:

  • Overall average: The average Spend-to-Income ratio across all users.
  • Distribution: A histogram or distribution curve showing the range of Spend-to-Income ratios.
  • Users: Total users on platform and users with calculable Spend-to-Income ratios.
  • Trend over time: Month-over-month trend line showing how the average ratio is changing.
  • Segmented ratios: Breakdowns by demographics (age, location, affinities).
  • Total income vs. total spend: The total income and total spend for each month.
  • Top income sources: Breakdown of primary income sources across users.
  • Top spending categories: Categories where the highest spending occurs, such as housing, entertainment, or food.
  • Savings rate: Percentage of users with a positive savings rate each month.
On this page