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Growth & conversion

The chatbot metrics worth tracking

Conversations started, answer rate, handoff rate, leads captured and revenue influenced — the five numbers that tell you whether a chatbot is working.

In short

Track five numbers: conversations started, share answered without handoff, handoff rate, leads captured with contact details, and how many became customers.

Ignore vanity metrics like total messages — a long conversation often means the bot was not answering.

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Key facts

Key facts

The five metrics

MetricWhat it tells youIf it's low
Conversations startedVisibility and welcome wordingChange placement and starter questions
Answered without handoffContent coveragePublish the missing answers
Handoff rateHonesty of the botZero is suspicious, not good
Leads capturedSales valueAsk for details at the right moment
Leads closedReal ROIImprove follow-up speed

The metric to distrust

Total messages. A high count usually means visitors rephrasing the same question because the first three answers missed. Short conversations that end in an answer are the goal.

Review rhythm

Weekly for the first month, monthly after that. Read a sample of transcripts each time — numbers tell you what happened, transcripts tell you why.

The product behind this guide

A chatbot trained on your own website, live today

Defaltam builds AI chatbots that read your public pages and answer with your real prices, services and policies. Support is €79/month, Sales is €149/month, both start with a 5-day free trial, and installation is one script tag.

FAQ

Questions people ask about this

What chatbot metrics should I track?

Conversations started, the share answered without a handoff, handoff rate, leads captured with contact details, and how many of those became customers. Those five connect the bot to revenue.

Is a zero handoff rate good?

No, it is suspicious. It usually means the bot is answering things it should not be certain about.

Why ignore total message count?

Long conversations often mean the visitor had to rephrase. Resolution matters more than volume.

How often should I review?

Weekly in the first month, monthly afterwards, always with a sample of real transcripts.

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