Create a scoring property
Go to Settings > Data Management > Properties. Change the object dropdown to "Companies". Click "Create property".
Set the object type to Company. For the group, select "Company information". Name the property something clear like "Company health score" and add a description.
On the next screen, select "Score" as the field type. Click "Build score".
Scoring properties work by adding or subtracting points based on criteria you define. You set positive criteria (things that indicate a healthy customer) and negative criteria (things that indicate risk), each with a point value.
Define your positive criteria
Click "Add criteria" under the positive section. For each criterion, set a score value and define the filter.
Think about what signals a healthy customer for your business. Common positive criteria:
Recent engagement: company has a contact who opened an email in the last 30 days (+10 points).
Completed onboarding: associated ticket in onboarding pipeline is at "Onboarding complete" status (+25 points).
Active product usage: if you track usage data through integrations or custom properties, high usage adds points (+15 points).
NPS promoter: associated contact submitted an NPS score of 9 or 10 (+20 points).
Meeting booked recently: a meeting with a contact at the company was logged in the last 60 days (+10 points).
The point values should reflect how important each signal is. Completing onboarding is a stronger health indicator than opening one email, so it gets more points.
Define your negative criteria
Under the negative section, add criteria that subtract points:
No engagement in 60 days: no email opens, no meetings, no page views from any contact at the company (-20 points).
Support tickets open: company has an unresolved support ticket older than 14 days (-15 points).
NPS detractor: associated contact submitted an NPS score of 1 to 6 (-25 points).
Missed onboarding milestones: ticket in onboarding pipeline hasn't moved stages in 30 days (-10 points).
Balance your criteria so the total possible score gives you a useful range. If a fully healthy customer scores around 80 and a fully at-risk customer scores around 20, you have a clear midpoint to set your intervention threshold.