Segment your data with analytical dimensions

• Determine the relevant analytical dimensions

  Segmentation lets you enrich your data and compare your KPIs (MRR, churn, LTV, etc.) across relevant subgroups. But which dimensions should you create and analyze first? Here is a practical guide to help you choose the most useful dimensions. 1. The most common segmentation dimensions a. Native dimensions (in the case where an integration is used) These dimensions are automatically available because they come from your billing data. They may nevertheless require some cleaning worFew readers

• Use analytical dimensions in your analyses

  Why use analytical dimensions? Why use analytical dimensions? Analytical dimensions let you enrich your billing data in order to analyze your performance from different angles. Thanks to them, you can adapt your analyses to the reality of your business — by customer, product, region, acquisition channel, or any other business dimension. By using analytical dimensions in Fincome, you can: Filter and break down your KPIs (MRR, churn, NRR, ARPA, etc.) according to custom dimensions,Few readers

• Manage analytical dimensions

  1. Where to find your analytical dimensions All your dimensions are grouped in Data → Custom dimensions. There you will find the complete list of your segments, sorted by object: Customers Subscriptions Invoices Invoice lines Products / pricing plans Each dimension displays: its name, its type (text, list, number…), and the number of values currently associated. 2. Actions available on your dimensions View existing values Click on a dimension to displayFew readers

• Add analytical dimensions

  Analytical dimensions let you segment your data according to custom dimensions: customer size, industry, acquisition channel, geography, etc. They can be created on every Fincome object: invoice, invoice line, customer, product, or plan. Two management modes are possible: Manual addition from Fincome or your Excel files: ideal for one-off or low-volume dimensions, which you can update over time. Automated addition: dimensions can also **come up automatically from the metadaFew readers

Analyze your KPIs

• Analyze renewals

  Analyzing subscription renewals is essential for recurring-revenue companies. It provides visibility on upcoming deadlines and lets you anticipate churn risks (customer cancellation) or, conversely, expansion opportunities (upsell/cross-sell). Fincome's Renewals section offers a clear view of the share of MRR/ARR that will be renewed over a given period, calculated automatically. You can thus anticipate your future revenue with precision, identify renewal opportunities at a glance, and reduce chFew readers

• Analyze your metrics continuously with the Rolling Window

  The Rolling Window offers you an alternative way of reading your indicators: a continuous analysis, over the last X days or X months, instead of a view split by month. Ideal for analyzing your momentum, detecting trend inflections, and neutralizing calendar-related edge effects. What is a Rolling Window? A Rolling Window consists of calculating a KPI over the last X days or the last X months, updating this window continuously. A few possible examples: Average MRR over the **lFew readers

• Analyze your cohorts

  In Fincome, cohort analysis lets you track the evolution of a group of customers acquired over the same period, in order to assess their retention, expansion, or attrition over time. In other words, you can group your customers by acquisition date (for example, by month or by quarter) and observe how their indicators evolve after X months of using the product. This approach helps identify loyalty and growth trends across each generation of customers. In Fincome, a cohort therefore corresponds tFew readers