Lead scoring in Pipedrive means Scores, a feature under Pulse on Premium and higher plans that rates each deal from 0 to 100 against criteria you choose. It is a decent deal score. It is not a fit score. Scores target deals only and read only deal and activity fields, so an organization that has never opened a deal gets no number at all, and a busy deal at a company far outside your market can still score 100.
This guide covers both: the native deal score as Pipedrive ships it, then an ICP fit score with written reasons on every organization, kept in custom fields you create once. Lead scoring in general ranks prospects by how likely they are to buy; if the models are new to you, start with B2B lead scoring models and examples.
To try it on your own pipeline as you read, connect Pipedrive to a free workspace and import up to 100 organizations, the Free plan's limit per table.
How lead scoring in Pipedrive works with deal scores
Open Pulse, then Scores, and click + Score. Give it a name and a description, choose the target entity (deals are the only option today) and the pipeline it applies to.
Then build the criteria. Pipedrive sorts them into three groups with fixed weights:
Highly positive criteria add 25 points.
Slightly positive criteria add 10 points.
Negative criteria take away 10 points.
You get up to 10 criteria in total. Each one is a condition on a deal field or an activity field. The preview lets you test the conditions against a real deal from the pipeline before you activate the score.
The result is normalized to 0 to 100. A deal at 100 met every positive criterion and no negative one, and a deal at 0 met only negative criteria. The score shows as a field nobody can edit, on the deal detail and in the deal list, and hovering over it opens a pop-up naming the factors that produced it. Pipedrive recalculates it whenever the deal's data changes.
Two limits shape everything below. Only one score can be active in a pipeline at a time, and only deal admin users can manage scores; regular users can only see them. (Source: Pipedrive's support articles on Scores, read on 2026-10-29.)
A complaint, while we are here. Points systems built on activity fields tend to reward the rep who logs every call, more than the deal that deserves the time. Any points model measures the fields it is handed, and in most CRMs the best-kept fields are the ones a rep has to touch every day.
What Pipedrive deal scores cannot see
The criteria come from deal and activity fields, so the score knows how a deal is moving. Whether the company behind it was worth chasing is a different question, and the answer usually lives nowhere in Pipedrive:
No deal, no score. A lead in the Leads Inbox, a person or an organization never gets a score of its own, and nothing is scored until someone creates a deal. That is the moment you most need to know who to call first.
No firmographics unless someone typed them. A new organization in Pipedrive often holds a name, an owner and little else. Industry, headcount and what the company sells reach the score only if a person copied them into a deal field by hand.
No reasons, only factors. The hover pop-up lists which criteria matched. It cannot tell a rep what the company does or why its size fits.
Fit matters most before outreach, not after:
"Low reply rates drag your deliverability down, and poor targeting is what causes low reply rates."
Utku Zihnioglu, CEO of Oneprofile
The two scores side by side:
Pipedrive Scores | ICP fit score in a custom field | |
|---|---|---|
What it scores | Deals only | Organizations, before any deal exists |
Plan needed | Pipedrive Premium and higher | Any Pipedrive plan with API access |
What it reads | Deal and activity fields | Domain, industry, headcount and description from data sources |
Scale | 0 to 100, normalized from 25, 10 and minus 10 points | 0 to 100 with a band: strong, possible or poor |
How it explains itself | A pop-up listing matched criteria | Written reasons naming the field behind each fact |
When it updates | Whenever deal data changes | When you run it, or on its own as organizations arrive |
Lead scoring in Pipedrive with a custom ICP field
Put the fit score on the organization. Fit belongs to the company, not to one deal or one contact, and every lead, person and deal linked to that organization is one click away from it. One score per company also means you pay to score each company once, however many deals it has opened.
Create these three fields among Pipedrive's organization data fields before you build anything else:
Pipedrive field on the organization | Field type | What lands in it |
|---|---|---|
ICP fit score | Numerical | A number from 0 to 100 |
ICP fit | Text | strong, possible or poor |
ICP fit reasons | Large text | The two or three facts behind the score, each naming its field |
Pipedrive stores every custom field under its own field key in the API, but you never handle the key. The export lists your fields by the names you gave them.
Say your ideal customer profile reads "B2B software companies with 20 to 200 employees that sell to other businesses", and three organizations come back:
Organization | What enrichment found | ICP fit result |
|---|---|---|
cleardue.example | Invoicing software, 60 employees, sells to finance teams | strong, 82: B2B software and inside the employee range |
juniperstudio.example | Design studio, 12 employees | poor, 22: a services firm, and below the employee range |
marlowadvisory.example | Nothing beyond the name: no description, industry or employee count | No band and no score, with all three listed as missing |
Look at the third row. With too little to go on, the scorer lists what it lacked instead of guessing, so a company you could not check never shows up as a poor fit. A points model makes exactly that mistake with an empty field.
Set up lead scoring in Pipedrive, step by step
Create the fit fields in Pipedrive first
Add the three organization fields from the table above. The export writes only to fields Pipedrive already has and never creates one, so a missing field will not be listed when you map. If you add one later, Refresh in the export editor fetches the field list again.
Connect Pipedrive and import your organizations
Pipedrive connects with your company domain (the part before .pipedrive.com) and a personal API token from Personal preferences, then the API tab. The token sees everything its user can see, so use a user whose visibility covers the organizations you want scored.
On Tables, choose Import from a tool. Pick Pipedrive as the Tool and organizations as the Object. Match rows on picks the Pipedrive ID for you; keep it, because an ID never changes. Under Output, tick the name and the field that holds the company's website domain. No domain field? Add one and fill it for the companies you score first. The ICP scorer requires a domain, because a score attached to the wrong company of the same name is worse than none.
Fill firmographics from the company domain
Add Enrich company from domain and point it at the domain. It returns the company name, industry, employee count, headquarters city and country, founded year and a description. It checks data sources one at a time, most accurate first, stops at the first answer, and costs up to 15 credits an organization. A company lookup that finds nothing costs nothing. Emails, titles and the person side are covered in Pipedrive data enrichment, step by step.
Score every organization against your ICP
Write your ideal customer under Ideal customer profile in Business context, one fact per bullet. Be concrete: segment, headcount range, who they sell to, what they already run.
Then click Tools, open the Agent tab and add the ICP scorer from Built-in agents. Point its inputs at the domain, name, description, industry and employee count. It costs 3 credits an organization and returns ICP fit (strong at 70 or above, possible from 40 to 69, poor under 40), Fit score from 0 to 100, and Fit reasons. Run the first 10 and read the reasons before you run the rest.
For the thinking behind the criteria, such as which closed-won accounts to learn from, see how to score accounts against your ICP.
Export the fit score to your Pipedrive fields
Click Export above the grid and pick Pipedrive under Send to CRM. The setup opens on Create or update records; click Change, pick Pipedrive again and choose Update records, so the export can only change organizations that already exist. Set the object to organizations and Find the record by the Pipedrive ID.
Map Fit score to ICP fit score, ICP fit to ICP fit and Fit reasons to ICP fit reasons. Click Test on these rows to see what a real push would do without writing anything, then Create and push.
Refresh and score new organizations automatically
Click Source at the bottom of the grid, turn on Schedule refreshes and pick Daily. Each refresh updates the organizations already imported and brings in the ones added since.
Then open Table settings and, under Run settings, turn on Run automatically on new and changed rows, with Keep existing results on. New organizations get enriched and scored as they arrive. A scored organization is charged again only when a field it reads changes. This is a standing spend, so add a run condition (only organizations with a domain, say) if your Pipedrive takes in a lot of junk.
The export is the one step that waits for you. Open its run menu and choose Push all rows. Skip unchanged rows, under Reliability, leaves out organizations whose score did not move.
Feed the fit score into your Pipedrive deal score
Back to the native score: the two work better together. Scores can only read deal fields, so give it one.
Create a Numerical deal field in Pipedrive called ICP fit score.
Import your Pipedrive deals into a second table, with the organization ID ticked under Output.
Click Tools, open Your data and choose Link to another table. Pick the organizations table, match the deal's organization ID to the organization's Pipedrive ID, and tick Fit score under Bring back. Linking is free.
Export to deals with Update records, found by the deal's Pipedrive ID, mapping the linked Fit score to the new deal field.
In Pulse, then Scores, edit the pipeline's active score and add the fit field as a criterion: 70 or more as highly positive, under 40 as negative.
Edit the existing score, since only one can be active in a pipeline, and stay within the limit of 10 criteria.
Now the deal score knows both things: how the deal is moving and whether the company fits. That is the version of lead scoring in Pipedrive worth showing a rep.
On cost: scoring alone is 3 credits an organization. Free gives 200 credits a month, 3 tables and 100 rows per table, enough to score 66 organizations that already carry their firmographics. Team starts at $20 a month for 1,000 credits and 10,000 rows per table, and extra credits are $20 per 1,000 on every paid plan. When you are ready, connect Pipedrive and score your first 66 organizations for free.
