Intent categories
Pricing, product fit, security, implementation, integrations, competitors, policy, support, and buying guidance are grouped automatically.
Analytics
Atithya analytics are built around visitor questions, intent, lead quality, source gaps, and product confusion. The dashboard is not a technical metering screen.
What matters
The dashboard helps teams understand what people ask, where they get stuck, and what content or sales follow-up is needed.
Pricing, product fit, security, implementation, integrations, competitors, policy, support, and buying guidance are grouped automatically.
Top questions, unanswered questions, repeated confusion, and source gaps become a content and sales feedback loop.
High-intent conversations are separated from casual browsing so teams can follow up with context.
Conversations remain inspectable so customers can understand how the agent behaves and where knowledge needs improvement.
Workflow
Every module is there because it helps a business decision, not because it looks impressive in isolation.
Buyer intelligence, not a usage meter
Visitors who ask more than one question
+12%A useful proxy for buyer education depth
+0.6Conversations that become a handoff
+5%More visitors asking fit, pricing, and security questions
sparkline cardsConversation volume trend
Category mix
funnel
Top questions
Page-level question origins
Product fit and proof
Pricing intent and cap behavior
Security/compliance interest
Lead handoff and workflow fit
Use case and setup clarity
Early education
Transcript inspection
Asked about Pro vs Plus
Lead readyAsked implementation controls
Needs sourceCompared against current tool
Review usefulAsked broad category question
AnsweredProduct principle
Customers see answer allowance and usage percentage. Technical metering stays out of the primary analytics experience.