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Analytics & Reports

Understand your workspace utilization, peak hours, and team behavior with Links Analytics.

5 min read7,400 viewsUpdated 2026-02-10
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We start with Analytics dashboard overview, move on to Utilization heatmap, cover Exporting reports, and wrap up with Scheduled reports.

Analytics dashboard overview

Navigate to Dashboard → Analytics for the main overview:

WidgetWhat it shows
Utilization Rate% of capacity used vs. available
Total BookingsCount over selected period
Peak HoursHeatmap of busiest booking times
Top SpacesMost and least popular spaces
No-show Rate% of bookings with no check-in
Average DurationMean booking length by space type

Use the date range picker (top-right) to view daily, weekly, monthly, or custom periods.

Utilization heatmap

The heatmap shows hour-by-hour utilization across the week:

  • Dark cells = high utilization (>80%)
  • Medium cells = moderate utilization (40–80%)
  • Light cells = low utilization (<40%)

Use this to identify spaces that need more capacity, or times when you could reduce space costs by consolidating floors.

Filter by space type (e.g. "Meeting Rooms only") to get actionable insights for each category.

Exporting reports

Export raw data for custom analysis:

Analytics → Reports → Select type → Date range → Export CSV/Excel

Available report types:

  • Booking History — every booking with status, duration, and attendees
  • Space Utilization — daily utilization % per space
  • Visitor Log — all check-ins with timestamps and hosts
  • Token Economy — token flows, top earners, redemptions

Reports are emailed as a download link within 60 seconds for large datasets.

Scheduled reports

Set up automatic reports sent to your inbox:

  1. Go to Analytics → Scheduled Reports → + New Schedule
  2. Choose report type, frequency (daily/weekly/monthly), and recipients
  3. Click Save

Weekly utilization digests are sent every Monday at 9 AM in your workspace timezone.

Enterprise customers can push reports directly to a data warehouse (BigQuery, Snowflake) via the Export API.
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