Statistics
Statistics helps you manage project costs and workload: see what uses credits, when customers get in touch most often, how quickly operators reply, and where subscribers come from. Compare periods, find a significant change, and examine it by channel, agent, or subscription source.
Open Statistics in the project's left menu or the Statistics card in the project overview.
Selecting A Period
On the statistics page, select a period: the last 24 hours, 7, 30, or 90 days. It stays selected when you switch tabs.

Activity and spending refer to the selected period. The credit balance and lead base size show the current state. Dates in charts and the subscription log use the browser's time zone.
Which Section To Open
- Overview: key cost, communication, and lead indicators on one screen.
- Costs: credit usage, AI response costs, balance forecast, and spending by channel and agent.
- Communications: messages, dialogs, busy hours, and operator response speed.
- Leads: new leads, subscriptions, unsubscriptions, segment changes, and subscriptions by UTM.
- Automations: step execution speed and delays caused by the plan limit.
Reading Cards And Charts
The percentage beside a value on a metric card compares it with the preceding period of the same length. For example, the selected seven days are compared with the seven days before them. The sign shows direction, not benefit: more messages and longer waits mean different things.
Use charts to find the date or time of a noticeable change. Point to a data point, bar, or cell to see its exact value.

Tooltips And Ask AI
The question mark on a card explains what is counted. Pointing to a card or the upper part of a chart reveals the Ask AI action with the selected indicator's context. It can help analyze the dynamics but does not change project data or settings.
Difference From Insight
Statistics answers "what happened": how many credits were spent, how many messages, dialogs, and leads appeared, when the workload increased, and how subscriptions changed.
Insight helps assess performance quality: which metrics look problematic, which agents need attention, and what stands out in anomalies, trends, or normative deviations.