Prove Your ROI: How We Track Every Dollar
Don't just guess if your AI is working. See exactly how much revenue Mitra generates for your business in real-time.
Investing in AI technology is a big decision for any business. It's often treated as an experiment. But experiments need data. You shouldn't have to wonder if it's paying off.
That's why we built our analytics dashboard to focus on the one metric that matters most: Revenue Generated.
Vanity Metrics vs. Real Impact
Many tools show you charts that go up and to the right, but don't actually mean anything to your bank account.
- Vanity Metric: "Total Messages Sent" (Who cares if you sent 1,000 messages if nobody bought anything?)
- Vanity Metric: "User Engagement Time" (Maybe they were just confused by a bad bot).
- Real Metric: "Assisted Revenue." (Did the AI help sell a product?)
How We Measure Success (The "Assisted" Model)
To prove value, we need to be strict. We don't take credit for every sale on your site—that would be misleading. We use a strict "Assisted Conversion" model.
We only count a sale if:
- Meaningful Chat: The customer actually engaged with the AI agent (more than just opening the widget).
- Direct Recommendation: The AI suggested the product they eventually bought.
- Immediate Action: The purchase happened within a 24-hour attribution window after the conversation.
Uncovering "Lost Sales"
Sometimes, the most valuable data is knowing what you didn't sell.
Imagine if 50 customers came into your store asking for "Purple Yoga Mats," and you didn't have any. You'd want to know that immediately so you could stock up. In a traditional online store, those search queries often get lost in logs.
Mitra automatically flags these "Missed Opportunities." We analyze every chat to tell you: "Hey, a lot of people are searching for X, but you don't stock it." This turns support conversations into powerful inventory insights that can guide your next purchasing decision.
Customer Journey Mapping
We also show you how the sale happened. Did they ask about sizing? Did they ask about shipping times?
Seeing these questions helps you improve your product descriptions. If 90% of people ask "Is this machine washable?", maybe you should put that in big bold letters on your product page.