Analytics

The workspace home page shows a setup checklist until you have a domain, mailboxes, leads and a campaign. After that it's a dashboard for the last 7, 30 or 90 days:

• Tiles for emails sent, replies, positive replies and bounce rate over a daily bar chart. Click a tile to chart that metric.
• Mailbox health: how many mailboxes can send, and what is wrong with the rest.
• Bounce rate against the previous period, on a 0 to 10% gauge. Keep it under 2%.
• Won rate: leads marked won, against replies. Mark a lead won from its lead sheet or through the API.
• Reply sentiment: positive, negative and neutral replies, by the label each thread carries now. Relabeling a reply moves it; it never counts twice.
• Replies by weekday and hour, in each lead's own time zone, with the busiest hour named.
• Replies on a world map with the top countries, for leads whose country is known or could be guessed from their time zone, phone number or a country domain.

The campaign list shows 90 days of sends for all campaigns and, per campaign, leads, sent, replies and bounces, with rates tinted against common benchmarks. Campaigns, Analytics breaks the last 7, 30 or 90 days down by campaign, by mailbox, by email provider, and by reply sentiment.

Each campaign shows its own stats and 90-day chart above the tabs. The Analytics tab goes deeper:

• By step and variant: sends, replies and reply rate for each A to E variant. Once two or more variants have 50 sends each, the one with the best reply rate is named the winner (no winner on a tie).
• By mailbox and by recipient provider, to spot the mailbox or provider that drags replies down.
• Reply sentiment for the campaign.

Positive and negative counts come from labels. Without AI labels, only the replies you label by hand and the rule-based ones are counted.

Every chart reads from a procedure your AI and scripts can call too: the overview, campaign stats, the campaign breakdown and the analytics page. See the REST API and MCP.