Understand chatbot interaction. Improve the conversation.

Chatbot Analytics – Made Privacy-First.

Every day, millions of users interact with chatbots – to order food, book appointments, or ask for support. But what actually happens during these conversations? Where do users drop off? Which flows drive conversions? Which ones just confuse? Right now, getting answers is messy – or borderline impossible. Especially if you care about user privacy and GDPR compliance. We think it’s time to change that.

AltStore
Microsoft for Startups
Stadtwerke Augsburg
Amazon AWS
PWC
Panic Inc
jamf

Award-winning privacy-first analytics

Augusta Wirtschaftspreis für Frauen
CDR Corporate Digital Responsibility Award Winner 2024
MyData Award 2025
Chat

More than just conversations

Why chatbot analytics matter

Your chatbot isn’t just answering questions – it’s shaping the customer experience. But without proper analytics, you’re flying blind. To improve your flows, increase conversions, and build better relationships, you need visibility into what’s actually happening in every conversation.

Most chatbot platforms offer little more than raw logs. Understanding user journeys or optimizing your flows? Not so easy.

With Chatbot Analytics, you could:

  • Identify drop-off points in real time
  • Track which messages or buttons perform best
  • Compare flows across channels, times, and devices
  • See what happens before users hand off to a human

And best of all: you don’t need a data science team to get insights.

The analytics gap

Why there’s no great solution – yet

Traditional analytics tools were built for websites, not conversations. And most chatbot platforms focus on building flows – not understanding them. That’s why teams end up stitching together logs, guessing user intent, or skipping analytics altogether. It’s time for something better.

Most analytics tools focus on pageviews and funnels. They weren’t built for conversational interfaces. And the ones that claim chatbot tracking? They’re often clunky, complex – or intrusive.

TelemetryDeck is exploring a new path:
✅ Easy integration with your chatbot
✅ Event-based analytics for messages, replies, drop-offs
✅ Fully anonymized, privacy-first tracking
✅ Dashboards built for real humans – not just data teams

Charts

Built with you, not just for you

Help us build it – for you

We don’t want to guess what chatbot developers need – we’d rather ask. If you’re building, maintaining, or optimizing a chatbot, your insights are gold. Tell us what you’re missing in your current tools, and we’ll use your feedback to shape a privacy-first analytics solution that actually works for you.

We’re seeing growing interest in chatbot analytics – and we want to build the solution the industry really needs.
But first, we want to hear from you.

Are you developing or managing a chatbot?
Tell us what you’d like to measure. What matters to you? What frustrates you?

Shape the future of privacy-first chatbot analytics!


Your input will help us build a solution that works for you. Bonus: You’ll get early access when we launch.

Coding
Tracking

How to measure the performance of a chatbot

What could you track with chatbot analytics?

Designed for Real Conversations

Chatbots speak in turns, not clicks. That’s why event-based analytics make more sense than pageviews or funnels. By tracking meaningful conversation events – like messages sent, replies chosen, or handovers to human agents – you’ll gain the insights you need to optimize every dialogue, without compromising user privacy.

Here’s what our system could analyze – always anonymized, never creepy:

  • messageSent – when a user sends a message
  • replySelected – when a user taps a suggested reply
  • conversationStarted / conversationEnded
  • fallbackTriggered – when the bot fails to understand
  • humanEscalation – when a live agent is contacted
  • conversionAchieved – based on your own logic

All data would be event-based, minimal, and cookieless – just like the rest of TelemetryDeck.

Thousands of organizations trust TelemetryDeck

Organizations
 
Apps
 
Insights
 
Events
 

FAQ

What is Chatbot Analytics?

Chatbot analytics help you understand how users interact with your chatbot – which flows work, where they drop off, and how to improve the experience.

Can I track chatbot performance without storing personal data?

Yes. With privacy-first analytics like TelemetryDeck, you can track behavior without collecting personal information.

Which platforms would be supported?

We’re currently exploring integrations for platforms like Dialogflow, Microsoft Bot Framework, Botpress, and custom-built bots.

Let’s Shape the Future – Together

Help us build the tool you’ve been looking for

Want better insights from your chatbot – without compromising on privacy?

You’re the expert on your chatbot. We’re experts in privacy-first analytics. By joining forces early, we can build a tool that truly fits your needs – simple, powerful, and respectful of user trust. Share your thoughts, and help us make chatbot analytics better for everyone.

Handshake