One customer record
The CRM manager can see what the ads are promising. The media buyer can see which customers already converted. Neither has to ask.
For growth teams One place where
One place where
every channel is true.
You own the number and you report upward. Nommos gives you a dashboard where any figure can be clicked and explained — and a team that spends its week deciding rather than producing.
The Monday problem
Two to four hours assembling a week that has already ended
Before
Open seven tools. Copy numbers into a spreadsheet. Discover the date ranges do not align. Fix it. Discover two tools disagree on clicks. Pick one. Build the slide. Present a week that finished three days ago, and field questions you cannot answer in the room.
With Nommos
The dashboard is the report. The period selector moves every number together. When someone questions a figure, you click it and show the components while the question is still being asked.
Shared context
The team stops moving information between tools
One definition per metric
With a visible breakdown behind it, so disagreements end in the meeting rather than in a follow-up.
Custom KPIs
The metric you actually run on — cost per qualified signup, revenue per active contact — lives on the dashboard instead of in a spreadsheet.
Roles and permissions
An analyst, a freelancer and an administrator each get exactly the access the work requires.
Diagnostics
From “conversion is 2%” to a briefed fix
A number is not a diagnosis. This sequence turns one into the other, and each step links to the next inside the product.
- The funnel names the step with the biggest drop-off
- The heatmap shows where attention goes on that page — with a warning if the sample is too thin to trust
- Session recordings show individual people getting stuck
- The segment you build from what you learned is usable immediately by a journey or an ad audience
Machine learning
Scores you can act on in the same screen
Churn risk, engagement, conversion probability and channel preference are not a separate analytics view. They are conditions in the segment builder.
Retention risk rises in a category
ML Insights flags it with severity, a seven-day trend, the top driver and how many contacts are affected.
Open the affected contacts
The contact list opens with that audience already applied as a filter.
Create a segment from one driver
Not the whole insight — the specific cause within it.
Hand it to the CRM agent
It drafts the campaign and waits for your approval before creating anything.
Bring the number you argue about most
We will click it and show you the components. It is the fastest way to judge whether a consolidated dashboard is trustworthy.