Chatbot analytics that measure service in dollars
See what your AI agent resolves, where your team steps in, and what every conversation earns. ChatBot is Text's AI agent, so your reports come with the full Text customer service platform.
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Revenue on the report
Sales that start in a chat are credited to it, during the conversation or up to 30 days after.
Humans and AI in one view
Every conversation lands in the same report, split into manual, assisted, and automated.
Fresh with every chat
Resolution rate, CSAT, and response times refresh with every conversation. Nobody waits for a monthly export.
Over 35,000 brands are already selling through service with Text
Your chatbot analytics dashboard
One place for the whole picture: cases, chats, satisfaction, and speed, for your team and your AI agent alike.
A day starts at the overview
Earned sales, cases, chats, and CSAT, each against the previous period. One scroll tells you whether today needs your attention.
User queries grouped by topic
Conversations grouped by what customers ask about and sized by volume, so you fix the cause instead of answering the same question again.
Your team in numbers
Total chats, CSAT, and first response time, for the whole team and for every teammate on it.
Every case counted
Chats and tickets in one count, tracked against your target, with your best and worst days flagged on the timeline.
Reports on a schedule
Recurring chat and ticket reports land in your inbox daily, weekly, or monthly, and raw data exports as CSV.
A chatbot report that counts revenue
Most chatbot reporting stops at volume: how many conversations, how long they took. Text keeps those numbers and adds the one your CFO asks about.
Sales attributed in dollars
When a sale starts in a conversation, the report credits it: placed during the chat or up to 30 days after. Your team's sales and AI agent sales stay separate, so you know exactly who earned what. One store that upgraded its bots from ChatBot to Text doubled its orders the following month.
Start free Text trialEvery campaign shows its receipts
Campaigns open the widget on their own: a hand on your pricing page, a nudge on a full cart. Each one reports the chats, sales, and conversion it drove, so you keep the winners and rewrite the rest.
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Analytics that close the loop
The revenue headline raises questions. Four more views answer them: what sold, who converts, which chats become leads, and which campaigns bring them in.
All sales
Every order that started in a conversation, in one place: total value, order count, and the average time from first message to checkout. Filter by team, currency, or sale timing.
Try it freeSales conversion
Conversion from visit to purchase, compared three ways: after an AI agent chat, after a human chat, and with no chat at all. The no-chat bar is the baseline; the gap above it is what conversations earn.
Try it freeLead conversion
A chatting visitor becomes a lead the moment they leave an email or phone number. AI agents, human agents, and chat forms each report their own conversion, with a timeline that flags your best and worst days against a target.
Try it freeCampaign conversion
Your top campaigns ranked by the leads they bring: each one lists the chats it started, the leads it captured, and its conversion rate. Conversion Radar adds the benchmark: how campaigns like yours convert in similar industries.
Try it free$1.5M
Revenue after 8 months
+25%
Average order value
80%
AI resolution rate
The 80% figure is the AI resolution rate Stratco reports across its chats. Your results depend on your catalog, policies, and knowledge sources.
AI agent analytics down to each answer
An AI agent handles most of your chats. The report shows whether it handled them well.
An honest resolution rate
A chat counts as resolved only when the AI agent's answer directly solves a customer's question. You track resolutions, the resolution rate, transferred chats, and CSAT on automated conversations, so you know when to trust the agent with more.
Start free Text trialThe chatbot performance metrics that matter
Eight numbers decide whether your AI agent earns its keep. Text reports track them all, from the chatbot KPIs your team checks daily to the success metrics that make it into the board deck.
Start free Text trialRevenue per conversation
Sales attributed to chats, divided by the chats you held. Text counts orders placed during a conversation or within 30 days after it, which turns "support is busy" into "support earned this much."
AI resolution rate
The share of chats your AI agent resolves without a human. Text counts a resolution only when the answer directly solves a customer's question, a stricter test than containment rate. Customers average 73%, and one connected knowledge source separates agents resolving a third of chats from those resolving most.
Lead conversion rate
The share of chatting visitors who become leads by leaving an email or phone number. Text reports it for AI agents and human agents separately, so you see whose conversations fill the pipeline.
CSAT
The share of positive ratings customers leave after a chat or ticket. Text splits it into automated, assisted, and manual, so you compare the AI agent to your team on the same scale instead of guessing.
First response time
How long a customer waits for the first reply. The AI agent answers in seconds; this metric guards the human queue behind it. Text tracks it separately for chats and tickets.
Resolution time
How long a case stays open, from created to solved. Ticket reports break it down by status, open, pending, and on hold, so you see where the time actually goes.
Transfer rate
The share of AI chats handed to your team. Read it as a map: a rising rate points at the topics your knowledge sources skip.
Missed chats
Conversations that ended before anyone replied. Each one is a visitor you paid to acquire and didn't answer. The chats report counts them daily, so a bad week never hides.
What is chatbot analytics?
Chatbot analytics, sometimes written as chat bot analytics, is the measurement of what your chatbot or AI agent does in conversations: the chats it handles, the questions it resolves, the satisfaction it earns, and the revenue it influences. Old-school chatbot data analytics counted activity, like message volumes and chat lengths. Modern chatbot analytics measures outcomes, so a report reads like a business review instead of a server log: cases solved, customers kept, sales attributed.
What should a chatbot analytics dashboard include?
Four things: resolution metrics for the AI agent, satisfaction and speed metrics for the whole team, conversation volume split by how much automation carried it, and revenue attribution if you sell online. That's the standard this page describes, and it's what AI customer service software should give you without extra configuration.
How to measure chatbot performance
Measure a chatbot the way you would measure a new teammate: against a baseline. Note your conversion rate, CSAT, and response times before the AI agent goes live, then read the same reports a month later. AI chatbot productivity shows up in dollars rather than impressions: Shopify stores using Text's AI agent report a 266% lift in visit-to-order rate, and the eight metrics above tell you whether your own setup keeps pace.
Where do the numbers come from?
With ChatBot.com you get a chatbot analytics platform as part of Text: the AI agent you build, the chat widget visitors talk to, and the reports that measure both live in one place. Sales attribution works through ecommerce integrations like Shopify, and every report is included in every plan from the first day of the trial.
Frequently Asked Questions
Know what your service earned today
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