Spending analysis is simply answering three questions with evidence: where did the money go, what repeats every month, and what can change next month? Your bank statement already holds the answers — you just need structure.
1. Start with a clean CSV month
Export one full month as CSV (see how to export a bank statement CSV). One month is enough to spot patterns without drowning in history.
2. Group transactions into categories
Useful first-pass buckets:
- Housing / rent / mortgage
- Groceries vs dining out
- Transport and fuel
- Subscriptions and software
- Utilities and insurance
- Transfers and savings (separate these from “spend”)
A tool like Spendstat auto-groups many merchants so you are not sorting every line by hand.
3. Rank categories by size
Sort totals high to low. The top three categories usually decide whether the month felt tight. Ignore tiny noise until the big rocks are honest.
4. Flag recurring charges
Streaming, gyms, cloud storage, kids’ apps — small amounts that never leave. List every recurring line once. Cancel or pause anything you would not re-buy tomorrow.
5. Compare against a simple budget
Use the monthly budget calculator or set category caps from last month’s totals minus 10%. Then re-check mid-month with a fresh export.
6. Turn insight into one action
Pick a single lever: cut one subscription tier, pack two lunches, or move $50 to savings on payday. Analysis without a next step is just a chart.
FAQ
How do I analyse a bank statement without Excel?
Export a CSV from online banking and upload it to a browser-based spend analyser such as Spendstat. Categories and totals are calculated on your device.
What should I look for first in spending analysis?
Start with the largest categories, then recurring subscriptions, then cash and dining spikes. Those three usually reveal the fastest savings.