Analytics

The Chats tab in the — is the main analytics view for the number of bot conversations. Here you can see: how many users messaged the bot how activity changes by day whether leads return how effectivel

Steps Conversion is a tool that shows how users go through your scenario step by step. You select a sequence of steps in a flow (for example: Welcome → Qualify → Offer → FD), and Chatterfy shows: how

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

Tracker Conversion — conversion from conversation to RD

The Tracker tab in — conversions from dialogs to affiliate events from . Shows the lead's entire journey: from the first message to the bot (Dialog) to registration in the affiliate program (Registrat

— Chats — conversation volume: for today, the week, and the month. A chart of new and total chats by day.

— Steps Conversion — customizable funnels by flow steps. Exactly where leads are lost. Comparison of two funnels.

— Billing — costs for the bot and AI. This month billing, average chat cost, charts by day.

— Tracker — conversions from a conversation to registration, FD, and RD. Dia → Reg → FD → RD metrics.

How to read the tabs in order

Read the analytics from the top of the funnel downward. If one of the bot's metrics drops, go through the tabs in this order until you find the layer where the problem is:

— 1. Chats — whether there is any traffic at all. If there are few new chats, the problem is not in the bot but in Tracker — Overviewor the ad campaign.

— 2. Steps Conversion — where leads get stuck. If a queue builds up at a specific step, the problem is there: AI responds poorly / there is no branch in Routings / Send Message did not resonate with the audience. Open the flow and check that step.

— 3. Tracker — even if leads made it through the funnel to the end, whether they convert to Reg / FD. If there is Subscribe but FD = 0, either the postback is not arriving or the audience does not have purchasing power.

— 4. Billing — how much all of this costs. The bot may be working correctly, but AI spend has grown disproportionately — a reason to change the model or optimize AI Settings.

Use cases by segment

— Arbitrage team owner: opens Tracker → sees Subscribe → FD conversion by week. If it has dropped, goes to Steps Conversion to see which step is eating up leads. At the same time, checks Billing to understand whether the cost per lead is increasing.

— Sales manager: looks at Chats to understand team workload (how many new leads per day), and Steps Conversion to find the bottleneck in the script.

— E-commerce marketer: opens Tracker to assess the quality of different campaigns → decides which landing pages to keep and which to disable.

— Financial assistant: exports Billing every week for a report to the owner — how much was spent on each bot, average conversation cost.

Where to start

It depends on the question:

I want to understand traffic overall — Chats — conversation analytics(total volume, trends).

Leads reach the bot but do not go further — Steps Conversion — funnel by flow steps(funnel).

AI is expensive, and I do not understand the costs — Billing — bot expenses.

I want to understand traffic quality — conversion to FD — Tracker Conversion — conversion from conversation to RD.

Compare two weeks — open any tab and switch the period using the calendar.

Analysis period

All four tabs support the same period filters:Today / 7 days / 14 days / 30 days / 90 days+ a custom date range via the calendar. The period is applied to charts and metrics — this is the first setting you need to check before drawing conclusions. This is especially important when comparing: “leads dropped by 30%” over a weekly range may be normal seasonality, while over a monthly range it may be a real signal.

Connection with other sections

Analytics in CRM —one bot. If you want consolidated analytics for all campaigns, all sources, all bots — Tracker — Overviewand Dashboards — Summary Analytics. CRM Analytics shows data at the level of interaction with leads. Tracker — at the traffic and partner event level. The numbers may differ: for example, Subscribe in Tracker is counted earlier than Contact (the first message to the bot). The company's total expenses (including balance and top-ups) — Billing — Company Balance and Expenses.

Frequently asked questions

Articles in this section

Tracker Conversion — conversion from conversation to RD

Messenger

The Messenger section is the operator team's workspace within CRM . Here, you can view all bot or personal account dialogues, respond to leads, switch statuses, filter necessary chats, and open client

Users

Раздел Users — таблица всех пользователей конкретного бота или личного аккаунта. В отличие от (где работа идёт с одним диалогом за раз), Users — про работу с базой массово . Здесь вы фильтруете тысячи

Tracker — Overview

When a lead follows a tracking link, the module uses clickid to link the click to subsequent events (for example, registration and a deposit). The data is matched with the CRM: the operator sees the l

Dashboards — Summary Analytics

The Tracker → Dashboards section is a quick monitoring screen. Six key metrics at the top and funnel charts from click to repeat deposit at the bottom. It opens in 2 seconds and immediately answers th

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Analytics

Updated August 30, 20265 min

What tasks it solves

What's inside

Tracker Conversion — conversion from conversation to RD

— Chats — conversation volume: for today, the week, and the month. A chart of new and total chats by day.

— Steps Conversion — customizable funnels by flow steps. Exactly where leads are lost. Comparison of two funnels.

— Billing — costs for the bot and AI. This month billing, average chat cost, charts by day.

— Tracker — conversions from a conversation to registration, FD, and RD. Dia → Reg → FD → RD metrics.

How to read the tabs in order

Read the analytics from the top of the funnel downward. If one of the bot's metrics drops, go through the tabs in this order until you find the layer where the problem is:

— 1. Chats — whether there is any traffic at all. If there are few new chats, the problem is not in the bot but in Tracker — Overviewor the ad campaign.

— 4. Billing — how much all of this costs. The bot may be working correctly, but AI spend has grown disproportionately — a reason to change the model or optimize AI Settings.

Use cases by segment

— Sales manager: looks at Chats to understand team workload (how many new leads per day), and Steps Conversion to find the bottleneck in the script.

— E-commerce marketer: opens Tracker to assess the quality of different campaigns → decides which landing pages to keep and which to disable.

— Financial assistant: exports Billing every week for a report to the owner — how much was spent on each bot, average conversation cost.

Where to start

It depends on the question:

I want to understand traffic overall — Chats — conversation analytics(total volume, trends).

Leads reach the bot but do not go further — Steps Conversion — funnel by flow steps(funnel).

AI is expensive, and I do not understand the costs — Billing — bot expenses.

I want to understand traffic quality — conversion to FD — Tracker Conversion — conversion from conversation to RD.

Compare two weeks — open any tab and switch the period using the calendar.

Analysis period

Connection with other sections

Frequently asked questions

Articles in this section