What Email Analytics and Metrics Does timetoreply Provide?
Updated
timetoreply provides email analytics for Gmail and Outlook that measure how fast your team replies and which customer conversations are at risk. It tracks first reply time and response time per inbox and team, SLA adherence, conversations still needing a response, live inbox volume, and "Smart Data" signals such as contact intent, urgency, and at-risk accounts. It fits B2B customer-facing teams — insurance, corporate travel, property management, professional services, legal, logistics, manufacturing — where email carries revenue relationships and managers need visibility without changing how the team uses Outlook or Google Workspace.
Core metrics: speed and adherence
The foundation is response-time measurement across every connected inbox.
- First reply time — how long until someone first answers a new conversation. The product's own sample view shows entries like "Replied 8m" and "Replied 21m" next to subject, sender, and status.
- Response time — the ongoing pace of a thread, not just the first touch.
- Per-inbox and per-team views — the same metrics roll up so a manager can see how "every inbox is performing," not only one person's.
- SLA adherence — whether replies land inside the response targets you set. The site frames this as spotting "falls in response times and SLA adherence early."
- Conversations needing a response — a status column flags threads as Replied, Pending, Open, or Needs response, so nothing sits unanswered by accident.
What the inbox view actually shows
A single row combines the conversation and its timing, for example:
| Subject | From | Status | First reply | Needs response |
|---|---|---|---|---|
| Re: Q3 renewal paperwork | [email protected] | Replied | 8m | — |
| Invoice #44120 query | a.okoro@brightpath | Replied | 21m | — |
| Shipment ETA confirmation | [email protected] | Pending | 1h 12m | — |
| Urgent: account not working | [email protected] | Open | 4h 02m | Needs response |
That last row is the point: a 4-hour-old open thread is visible as a problem rather than buried.
Smart Data: intent, urgency, and at-risk accounts
Response times only tell part of the story. Smart Data reads the content of the conversation to classify what it means.
- Smart category — e.g. Support · Billing.
- Contact intent — e.g. Cancellation · Escalation, or an at-risk account.
- Urgency — e.g. Immediate crisis · Urgent, meaning respond now.
- Escalation detection — flags when a thread needs leadership involvement.
The site's example: an email from Shannon at Vertex TG reporting a login failure before a client demo is detected, prioritized, and surfaced as a triggered alert "4h overdue." Live view updates the moment a new email is read, flagged, and prioritized.
Live volume and performance views
- Live inbox volume — a running count, shown as "1,284 today," with filters.
- Smart Filters — surface the conversations that matter instead of the whole queue.
- Performance by inbox and team — the same data used to judge "which customer relationships are at risk" also shows how each inbox is performing.
Which management question each metric answers
| If you need to know… | Use |
|---|---|
| Are we replying fast enough? | First reply time, response time |
| Are we meeting our commitments? | SLA adherence |
| Is anything being dropped? | Needs response status, open/pending counts |
| Which customers are unhappy or leaving? | Contact intent, at-risk accounts, escalation |
| What's urgent right now? | Urgency classification, live view alerts |
| How is each person or team doing? | Per-inbox and per-team performance views |
Practical fit and limits
It works inside the Outlook and Google Workspace workflows your team already uses, so there is no migration. It is built for B2B customer-facing teams where email drives revenue, and the site states it is trusted by 1,000+ such teams, with SOC 2 Type II and ISO 27001 listed. Pricing is not stated on the pages referenced here — check the pricing page for current plans and any login or trial conditions. If your need is only raw send/receive counts rather than reply speed and relationship risk, these metrics go beyond that; if your need is exactly "who has been waiting too long and who is about to leave," they map directly.