Understand your money beyond the balance.
Turn account activity into useful financial visibility with spending trends, category breakdowns, cash-flow signals and practical summaries that help customers make better day-to-day decisions.
See the patterns behind everyday activity.
Insights should summarise real transaction data from the account rather than inventing financial advice or pretending to predict the future.
Spending categories
Group eligible transactions into categories so customers can see where money is being used most often.
Monthly trends
Compare recent months and identify meaningful changes in incoming funds or everyday spending.
Cash-flow view
See money coming in versus money going out to understand how account movement changes over time.
Recurring activity
Surface repeated payments or deposits that appear regularly in transaction history.
Savings progress
Show progress against supported savings goals using actual account movements and target data.
Unusual changes
Highlight noticeable transaction changes for review without labelling normal activity as fraud automatically.
Turn transaction history into information customers can act on.
A premium insight page should explain what changed, show where the underlying numbers came from and avoid making unsupported investment, tax or credit recommendations.
Use insight to improve awareness, not to overpromise.
The strongest insights are grounded in the customer's actual transactions and presented as observations rather than guarantees or personalised financial advice.
Income change
Show when incoming funds are materially higher or lower than the selected comparison period.
Spending change
Highlight increases in total spending and help users inspect the categories behind them.
Recurring payments
Surface repeated merchants or billers so customers can recognise ongoing commitments.
Goal progress
Connect savings movement to goals without promising future returns or outcomes.
How are insights created?
Use transaction data, account balances and supported categorisation logic to generate summaries customers can inspect.
Understanding the numbers.
No. They should be informational summaries of account activity unless you separately provide a regulated advice service.
Automatic categorisation can be imperfect. Allow correction where supported and avoid hiding the original transaction details.
Historical patterns can be summarised, but predictions should be clearly labelled and should not be presented as certain outcomes.
Where implemented, provide transaction exports or statements using the real account records.
See more than transactions. Understand the pattern.
Review spending, income and account movement with clearer financial visibility.