SiftDocs
Sources

Platforms

The Platforms tab is the default Sources view. It shows how activity is distributed across your connected social platforms, so you can see at a glance where conversations are happening and how each one is being handled.

At a glance

Side-by-side comparison of every connected platform✅
Per-platform Total, Incoming, Outgoing, Analyzed, Actions✅
Content / Users toggle: message-level vs user-level metrics✅
Detailed / Aggregated toggle for large date ranges✅
Totals row aggregating all platforms✅
Drill into a platform for channel-level detail and trends✅

What you're looking at

Two toggle controls at the top let you customize what the table measures.

  • Content / Users (top left) - switch between message-level metrics (volume, direction, sentiment) and user-level metrics (active users, customers, agents, messages per user).
  • Detailed / Aggregated (top right) - Detailed queries raw data in real time for accuracy; Aggregated uses pre-computed hourly snapshots for faster performance on large date ranges.

Platform breakdown

The Platform Breakdown table is the core of the Sources view. It gives you a side-by-side comparison of activity across every connected platform. Each platform is a row with these metrics:

  • Platform: the source name (e.g. Discord, X, Instagram) with its brand icon.
  • Total: total message volume for the selected period (or total users in Users mode).
  • Incoming: messages received from customers, shown as a count with a proportional bar and percentage of total. In Users mode, this shows customer count.
  • Outgoing: messages sent by your team, with the same bar and percentage breakdown. In Users mode, this shows agent count.
  • Analyzed: how many messages Sift's AI has processed, with a bar showing the analysis rate.
  • Actions: how many messages resulted in actionable items for your team, with the action rate percentage.

A totals row at the bottom aggregates all platforms into a single summary line.

Drilling into a platform

Click any platform row to open a dedicated detail page for that platform, with channel-level breakdowns, content quality scores, sentiment distribution, and performance trends specific to that source.

Slack contributes message data to Sources only if you configure optional channel tracking. Notifications and the bot work without that tracking.

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