Analytics
Use analytics, exports and conversation summaries
Turn FADA activity into an operational view of conversations, leads, appointments, sources and usage.
Before you start
- Choose a complete date range and comparison period.
- Confirm which agents and channels belong in the analysis.
- Know the business outcome you want to evaluate.
Step by step
1
Set the scope
Select the relevant date range, agent and available source filters. Avoid comparing a partial period with a complete one.
2
Read the funnel
Compare conversations, messages, captured leads and appointments to identify where visitors stop progressing.
3
Review source and location data
Use available source, channel and country breakdowns to separate traffic quality from agent behaviour.
4
Use summaries carefully
Treat AI conversation summaries as navigation aids and verify important details in the transcript.
5
Export only when needed
Export approved data for reporting or analysis and store it in a controlled destination.
Verify the result
- Filters match the intended business question.
- Lead and appointment totals reconcile with operational records.
- The exported period and timezone are documented.
Common issues
- Numbers look lower than expected: Check filters, timezone, channel coverage and deleted or legacy data.
- Usage rises suddenly: Review model, prompt length, retrieved context and tool activity.
- Summary misses a detail: Use the original transcript as the source of truth.
Important: Analytics describe what happened; use transcript sampling and business context before deciding why it happened.
Next: Connect workflows
Continue with the next recommended FADA guide.