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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

Viewing the Dashboard

1

Navigate to Analytics

From the left navigation, click Analytics → Conversations.
2

Set your date range

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.
3

Apply filters

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]
4

Inspect individual data points

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.
5

Review the flow funnel

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

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