> ## Documentation Index
> Fetch the complete documentation index at: https://fliqr.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# Measure Conversation Performance Metrics in Fliqr AI
> Track conversation volume, flow completion rates, drop-off points, and channel breakdown to understand how your automations perform over time.
The Conversations analytics panel gives you a quantitative view of how your automations are running. Raw message counts tell you activity; completion rates and drop-off data tell you whether your flows are actually working. Reviewing these metrics regularly helps you identify which flows need revision and where contacts lose interest or get stuck.
## Overview
Every conversation that passes through Fliqr AI — whether handled by a flow, an AI Agent, or a live agent — is recorded and aggregated here. The panel breaks performance down by time period, channel, and individual flow, so you can compare across dimensions without exporting data manually.
## Metrics Explained
| Metric | What it measures |
| ------------------------ | ------------------------------------------------------------ |
| Total Conversations | Number of unique conversation threads in the selected period |
| New Contacts | Contacts who had their first interaction in this period |
| Messages Sent | Outbound messages delivered by Fliqr AI |
| Messages Received | Inbound messages from contacts |
| Flow Completion Rate | Percentage of flow starts that reached the final block |
| Average Response Time | Mean time between an inbound message and Fliqr AI's reply |
| Conversations by Channel | Breakdown of threads by WhatsApp, Instagram, Messenger, etc. |
| Conversations Over Time | Daily, weekly, or monthly trend line |
## Viewing the Dashboard
From the left navigation, click **Analytics → Conversations**.
Use the date picker at the top of the panel to select the period you want to analyze. You can choose preset ranges (Last 7 days, Last 30 days, Last quarter) or enter custom start and end dates.
Use the filter dropdowns to narrow the data by channel (e.g., WhatsApp only) or by a specific flow. This is useful when you want to compare how the same flow performs across different channels.
\[SCREENSHOT: Conversation analytics dashboard showing a line chart of daily conversations and a channel breakdown pie chart]
Hover over any point on the line chart to see the exact count and date. Click a channel segment in the pie chart to filter the rest of the dashboard to that channel.
Scroll down to the **Flow Funnel** section. Select a flow from the dropdown to see impression counts for each block. The widest gap between two consecutive blocks is your primary drop-off point.
## Reading the Flow Funnel
Each block in a flow records how many contacts passed through it. As contacts drop off at any point — by not responding, closing the chat, or hitting an error — the count decreases. The funnel makes this visible as a series of bars narrowing from top (flow entry) to bottom (flow exit).
Drop-off is significant when the gap between two blocks is larger than expected. Common causes:
* **A question with no quick-reply options** — contacts who have to type a free-form response often don't.
* **A long delay block** — contacts may re-engage elsewhere before the next message arrives.
* **A confusing or ambiguous message** — especially in languages where the phrasing doesn't translate well.
A low completion rate on a specific flow often means one block is too complex or the next step isn't clear. Check the flow funnel for the exact drop-off point, then A/B test a revised message for that block.
## What's Next
Find inbound messages that no automation handled and build rules to cover them.
Track revenue, conversion rates, and order volume tied to your automations.