Peony's analytics tell you exactly which pages each viewer opened and how long they spent on each one. Filter by viewer, date range, or link, and drill into any session to see a viewer's page-by-page path through your room.

What You See

For every data room:

Which pages each viewer opened
How long they spent on each page
Time per page chart — bar chart showing where viewers spend the most time across a document, page by page
Dropoff report — shows where attention falls away across pages (e.g., "Page 3 — 50%" means half your viewers stopped engaging after page 3)
Total session duration
Return visits
Device and OS
Approximate location (IP-based)

For each viewer individually:

Total views — how many times they opened the room
Total view time — cumulative time across all sessions
Avg. view time — average per session
Downloads — count of files downloaded (if downloads are enabled)
Groups — which link group the viewer came from (e.g., "Quick link", a named link)

Every event is tied to the viewer's verified email.

What It Tells You

Fundraising. Which VCs read the financial model versus skimmed the cover? A reviewer who spent 12 minutes on the model and 4 minutes on the cap table is in a different posture than one who scrolled past page 3 and closed the tab. Prioritize follow-up accordingly.
M&A diligence. Which sections did bidders focus on? If everyone is spending disproportionate time on one customer contract or liability schedule, that's where negotiation will concentrate.
Client proposals. Who opened the SOW and when? A prospect opening your proposal at 9pm Sunday is a Monday-morning callback, not Monday-afternoon.

Accessing Analytics

Open any data room and click the Analytics tab in the left sidebar.

Filter by viewer, date range, or specific link. The link filter is useful when you shared one link per investor — isolate a single counterparty without noise from the rest.

Most customers start in "Most Active Users by Duration" — sorted by total time across the room, the fastest way to surface serious reviewers.

Per-Viewer Analytics

Two ways to see a specific viewer's activity:

Click into their name in the Analytics tab. This opens their full profile: activity timeline, location, device, OS, total views, total view time, average view time, and download count.
Create a separate link for that viewer. Use email access, domain gating, or a simple named link — then filter analytics by that link. This is the cleanest way to isolate one counterparty's activity.

The activity timeline shows a complete record of how the viewer moved through the room — every file and folder opened, with duration and timestamp. For example: "Viewed KiwiQ Pitch Deck_V4.2.pdf for 2 secs — 23m ago."

Current Scope and Limitations

Per-document and per-folder. You can see how long a viewer spent on the financial model or the Contracts folder.
Aggregate time-on-room per viewer. Click into a viewer's name to see their total view time across the entire room, plus average view time per session.
Location is approximate. IP geolocation can be off by 500km or more; VPNs and corporate proxies distort the signal. Treat as a rough sanity check.
Excel session duration bug. Fixed in 2026-Q1. Reports from before the fix may show stale durations for .xlsx files.

If you need a capability that isn't listed, ask — several shipped features (per-folder dwell time, Most Active Users view, screenshot-attempt logging) came directly from customer requests.

Exporting Analytics

Click Export in the Analytics tab for a CSV with:

Viewer email
Session start timestamp
Per-page dwell time
Downloads (if enabled on the link)
Total session duration

The export is scoped to your active filter.

Privacy Note

Analytics are captured on the basis of signed viewer consent — every viewer goes through email verification and, where configured, an NDA gate.

Peony does not use analytics data for advertising, retargeting, or external tracking. Data is retained for the lifetime of the data room and 30 days after deletion, to support restore requests.