Analytics and reports
Analytics is about understanding, not pretty charts. Svodly answers the usual questions: “where did my money go this month”, “which categories do I spend the most on”, “has my budget grown compared with last year”. This page is about how these reports work.
Summary — quick figures with no setup
The first level of analytics is the Summary — the app's main screen: the period's figures, cash flow, spending by category, budgets, goals and debts. The cards can be reordered and hidden, and the period switches with one click. It has an article of its own — “Summary”; the rest of this page is about the “Analytics” section.
Analytics — in detail
The Analytics section is built from a set of ready-made reports. They all work on the same model: you choose a period, a breakdown and filters — and the app draws a chart and gathers the figures.
Four tabs instead of one long scroll
The “Analytics” screen is split into tabs — just like an account card. The period in the header applies to all of them at once, and the selected tab is remembered on the device: come back to the section and the same one opens.
- “Overview” — the period's figures, the income and expense chart, automatic observations.
- “Structure” — donut charts by category and counterparty, the trend of a selected category, large expenses, recurring payments and the “By tag” card.
- “Comparison” — the comparison with the previous period and the “Period comparison” table (below).
- “Purchases” — items from FNS receipts. The tab only appears if there are receipts in the period.
The “Analytics” inside an account card has stayed a single scroll — it has its own tabs, and splitting them once more would make no sense.
Income and expenses by period
Two-colour bars of income and expense by month or week. You can see the dynamics — for example, that expenses are always higher in summer because of holidays.
Structure by category and counterparty
A doughnut chart with the shares of top-level categories — a clear answer to the question “where does the money actually go”. Separate doughnuts are drawn for expense and for income.
Top-level categories are shown: if you have “Food → Groceries / Cafés / Delivery”, then “Food” appears as a single share, aggregating the nested subcategories. In the card header there's a breakdown switch “Categories ↔ Counterparties”: the same period can be broken down not by line items but by payees (on desktop and the web; on mobile — by category only).
Period comparison
The “Comparison” tab holds a “category × two periods” table. The “Income” and “Expenses” sections, a row for every category with transactions, a separate “No category” row and a “Total”. The columns are period A, period B and the ±% between them.
Both periods are chosen independently — of the screen's period and of each other: a week, a month, a quarter or a year from any year in your book, or an arbitrary date range. By default it compares last month with the current one. Next to them is an account filter: “All accounts” or one specific account.
- The delta is coloured by meaning: a rise in expense is red, a rise in income is green.
- A category that did not exist in the first period is marked “new”.
- Planned transactions, transfers and investment movements are not in the table — the same rules as for the charts and the figures, so the numbers agree with the rest of analytics to the last kopeck.
- Amounts are shown in a single currency: if the transactions of both periods are in one currency, then in that one, otherwise in the book's base currency. Roubles and dollars are never added up in the same cell.
By tag
The “By tag” card on the “Structure” tab shows the turnover of every tag over the period — as a list rather than a chart: a transaction with two tags would land in both segments, and the shares would stop adding up to a whole. A separate “Not counted” row shows how much money the system tag of the same name has taken out of the statistics.
Top counterparties
The same “Counterparties” breakdown in the structure card answers the question of who received the most money in this period. Useful for business (top suppliers) and for personal finance (you'll see that 40% of “Food” is one delivery service).
Receipt purchases
If the period holds scanned FNS receipts, a “Purchases” tab appears in personal analytics: how many receipts and line items there were, what the average receipt was, and what you buy most often and most expensively — no longer by category but by item. The “All purchases” button opens the full list with each item's price history and “basket inflation”. Details are in “Receipt purchases”.
What goes into analytics
By default — all transactions in the active book, except transfers (both within a book and cross-book). Transfers are excluded because they don't change the overall state of your finances — it's moving money from your left pocket to your right.
Transfers are always excluded — there's no separate “show transfers” toggle in analytics. To look at the transfers themselves, open the “Transactions” journal and set a filter for the type “Transfer”.
One more exception — transactions carrying the “Not counted” tag. That is your manual way of taking out of the statistics something that was not really your spending: you paid the shared bill for the table, you bought something with someone else's money. The transaction stays in the journal and in the account balance, but drops out of the figures, the charts, budgets and management reports. Tax reports are not affected by the tag.
Several currencies in one set of analytics
If you have accounts in different currencies, the analytics reports don't mix them: amounts are counted within a single currency, and on a mixed selection the overall subtotal is hidden. The exchange rate for a transfer between accounts in different currencies is still entered manually in the transaction itself.
The exception is the aggregate figures on the Summary and Accounts screens (the total balance and the Balance / Income / Expenses / Free KPIs): with the Svodly Cloud connected they are automatically converted into the book's base currency at the official exchange rate of the Bank of Russia. See Accounts → “Aggregate balance at the CBR rate”.
Export
Printing the analytics itself to PDF is not supported yet. To export the figures to a spreadsheet, use the export on the Import & export page, and in a business book — the ready-made reports in XLSX, CSV and PDF (PDF on desktop and web).
Where to go next
- Receipt purchases — the breakdown by item and the price trends.
- Budgets — how to turn observations from analytics into limits.
- Categories & counterparties — how the quality of your labelling affects how useful the reports are.
- Tags — another breakdown, and a way to take a transaction out of the statistics.
- Data export — if you need the figures in your own spreadsheet.