Analytics
Numbers you can check, not just trust.
Dashboards for sales, support, campaigns and AI quality, plus your own custom views. Each figure says how it's counted, so the discussion is about decisions, not definitions.
Illustration of the analytics dashboards with synthetic data: sales, support, campaigns and AI quality, each with key figures and a chart.
Illustrative demo · synthetic data
Dashboards
Every team's numbers, in one place.
Weekly and day-by-day views for the people who run support, marketing and sales, from the same conversations.
Sales
How conversations and the orders that follow them move, day by day.
Support & operations
Open and resolved conversations and how fast your team replies.
Campaigns
From sent to delivered, read and clicked, and the orders after a click.
Funnel
Where conversations stop on the way from first message to order.
Follow-ups
Which follow-up step actually gets the replies.
AI quality
What the AI answered, what it handed off and why.
Custom dashboards
Build your own views with the metrics your team follows.
Digest by email
An hourly email digest, so the numbers come to you.
Follow-ups
See which follow-up earns the reply.
Follow-up analytics show each step of the ladder, so you can change the delay or the message that isn't working.
- Replies per follow-up step, side by side.
- Follow-ups respect your quiet hours.
- Up to three follow-up steps, each with its own delay.
Illustration of an automatic follow-up ladder with three steps and quiet hours from 21:00 to 09:00. The first follow-up falls at 22:10, inside quiet hours, so it is moved to 09:00. The customer replies at 09:14 and the remaining follow-ups are cancelled. A chart shows synthetic replies per step.
Illustrative demo · synthetic data
How we count
The method sits next to the number.
Analytics are only useful if everyone reads them the same way. These are the rules behind ours.
- Attributed
- The person clicked a tracked link in a campaign, and a paid Shopify order from them followed.
- Estimated
- No tracked click, but the order arrived within the window after the send. Shown apart, never added to attributed.
- No causal claims
- An attributed order followed a click. That doesn't prove the message caused it, so we never call it revenue generated.
- No borrowed benchmarks
- We don't compare you with other brands or publish industry averages. You see your own numbers, nothing else.
Attribution
Every order shows how it was counted.
See which orders came after a campaign click, with the method shown: attributed vs estimated.
- Only paid Shopify orders count.
- Attributed and estimated orders are always labelled and never merged.
- The method is written in the report itself, not hidden in a footnote.
Illustration of a campaign's order list. Each paid Shopify order is tagged attributed when the customer clicked a tracked link from the campaign before ordering, or estimated when there was no click but the order arrived within the window after the send. A note explains the method for each tag.
Illustrative demo · synthetic data
Need the numbers somewhere else?
On approved projects, the REST API has read scopes for analytics and attribution, and the MCP server lets your own AI tools read metrics with a scoped key.
Analytics questions
Does “attributed” mean the campaign caused the order?
What's the difference between attributed and estimated?
Do you show industry benchmarks?
Can I build my own dashboard?
Can I get the data out?
Free diagnosis
See what your conversations are leaving on the table.
We review up to 180 days of your WhatsApp history and send you a written diagnosis within 48 hours. Free, and nothing is connected until we've agreed in writing how your data is handled.