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Chats — conversation analytics
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Billing — bot expenses
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Billing — bot expenses

The Billing tab in the shows how much it costs to run a specific bot. All expenses are collected here: using the bot itself, AI model calls, AI Reply, AI Routing, and AI Recognition. This section help

Updated August 30, 20264 min
The Billing tab in the Analyticsshows how much it costs to run a specific bot. All expenses are collected here: using the bot itself, AI model calls, AI Reply, AI Routing, and AI Recognition. This section helps you understand how much one chat costs, how the cost changes over time, and exactly where the budget is growing.
Main purpose
Control the cost of one chat. If expenses are growing but conversions are not improving, it means the AI or flow is configured inefficiently.




When to open this section

  1. at the end of the month — to view total spending
  1. after changing the AI model — to check whether the cost of one chat has increased
  1. after launching a new advertising campaign — to assess the impact of traffic on the budget
  1. when expenses increase sharply — to find the cause
  1. when comparing two bots — to understand which one is more cost-efficient
  1. before optimizing AI — to record the current cost per chat.



Main metrics

This month billing

Total spending for the current calendar month.
Includes:
  1. the cost of using the bot
  1. AI expenses.
This is the main metric for answering the question: “How much has already been spent this month?”

Average chat cost

The average cost of one active chat for the selected period.
Takes all related expenses into account:
  1. AI requests — processing messages generated by your AI.
This is the basic unit of efficiency. If Average chat cost = $0.05 and the bot handles 1,000 chats per day, the daily expense will be about $50.

Average new chat cost

The average cost of the first interaction with a new lead. Shows how much it costs on average to process a new contact — from the first message to the end of the initial conversation.
Important
Usually, Average new chat cost is higher than Average chat cost because on the first touch the bot performs qualification, asks more questions, and calls AI more often.



Charts

Usages statistics — expenses by day

Shows daily expenses broken down into two main categories: the base cost of using the bot and AI expenses.

What it helps you see:
  1. days with increased expenses
  1. the share of AI in the total budget
  1. anomalous spikes.



Average chat price by day — cost of one chat by day

Shows how the average cost of one chat changes day by day.
Used for:
  1. finding “expensive” days
  1. comparing periods
  1. assessing the impact of changes in AI and the flow.
If the cost is usually $0.05–0.07, but on a particular day it rose to $0.18, that is a reason to check the AI settings and scenario logic.



Selecting a period

The same periods are available as on the “Chats — conversation analytics” tab Chats — conversation analytics —
  1. 7 days
  1. 14 days
  1. 30 days
  1. 90 days
  1. custom range
Important
This month billing always shows spending for the current calendar month, regardless of the selected period. The period affects Average chat cost, Average new chat cost, and both charts.



Use cases

Monthly budget control

On the 1st: This month billing = $0. On the 15th: This month billing = $250. Monthly plan: $500.
The current pace is within budget.
If by the middle of the month spending is already $400, check: AI models. prompt size. possible loops in the flow.

Finding abnormal cost growth

Usually, Average chat cost is in the $0.05–0.07 range. On one day, the metric increased to $0.18.
What to do:
Open Messenger.
Filter chats with Error status.
Check problematic conversations via Show Chat Events — displaying service events.

Evaluating a new AI model

After changing the model: Average chat cost increased from $0.04 to $0.12. conversion to FD increased from 8% to 14%.
Calculation:
Scenario
Spend
FD
Cost per FD
Old model
$40
80
$1.00
New model
$120
140
$0.86
Although the cost per chat increased, the final FD cost decreased. The more expensive model turned out to be more cost-effective.
Note
A high chat cost is not a problem in itself. What matters is the cost of the target result.



Relationship with other sections

Level
Where to view
What it shows
Bot
Analytics → Billing
Expenses for a specific bot
Company
Billing (company)
Balance and transaction history
All bots
Usage
Expenses by bots and Spaces
AI models
AI Models
Model selection and impact on cost
If you need to understand which bots use the largest share of the company's budget, start with Resource Usage, then open Billing for the specific bot. Sections: Billing — Company Balance and Expenses, AI Models — Complete Guide to AI Models in Chatterfy.



What to keep in mind

Data delay
Data may appear with a slight delay. If the costs for the current day seem incomplete, refresh the page later.
Billing shows aggregated metrics. This section does not provide a breakdown down to individual AI requests or specific messages.



Frequently asked questions

In many AI bots, AI accounts for most of the costs, especially when AI Reply and AI Routing are used actively.

There is no automatic period comparison. To analyze data, switch Period manually.

All amounts are shown in USD.

In the Resource Usage.

Check:
the AI model being used
prompt size
possible loops in the flow
errors in chats.



Related

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Resource Usage
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On this page

  • When to open this section
  • Main metrics
  • This month billing
  • Average chat cost
  • Average new chat cost
  • Charts
  • Usages statistics — expenses by day
  • Average chat price by day — cost of one chat by day
  • Selecting a period
  • Use cases
  • Monthly budget control
  • Finding abnormal cost growth
  • Evaluating a new AI model
  • Relationship with other sections
  • What to keep in mind
  • Frequently asked questions
  • Related