Updated Oct 16, 2026
Lead scoring software
Lead scoring software that explains every score
Bought firmographics and your own Stripe, Zendesk, and PostHog data feed this lead scoring software. It scores every lead against your ICP and syncs the score and reason to your CRM.
Reason beside score
Ranked in one pass
CRM write-back
Free plan: 200 credits a month, 3 integrations, no card
Why lead scoring software needs more than CRM fields
Most teams already have a score. It lives in the CRM, adds points per field, and nobody on the sales floor can say why one lead beat another. So reps go back to working the list by gut.
A number with no reason behind it
The CRM's built-in lead scoring tool adds points for a title, a headcount band, and a form fill, then hands the rep a 72. Nobody can explain why the 72 beat the 48, so nobody trusts the order.
The score only sees what sits in the record
What a signup pays in Stripe, asked support last month, and did in the product never enters the number. A signup already active in your product and a cold lead with the same title score the same.
The ranked list never makes it back to the CRM
Paste a list into a chat window and you get tiers back in a document. Re-scoring means pasting the whole list in again, and nothing writes the result back to the CRM on its own.
Four ways to score leads
Every lead scoring tool uses one of these. The difference a rep feels is whether the score says why.
Approach | Score comes from | Needs | Says why? |
|---|---|---|---|
By hand | A rep's read of each lead | Time for every lead | Only in the rep's head |
Points | Rules you set per field and action | Someone to keep the rules current | No, only the total |
Model trained on past wins | Patterns in deals you closed | Enough closed deals to learn from | Rarely |
AI against your ICP (Oneprofile) | AI reading each lead against the ICP you describe | A written ICP and the lead's data | Yes, a reason beside every score |
Compared at category level, with no tools named. Our scorer is the last row, and it is not a predictive model.
How Oneprofile scores every lead and writes the reason
Every lead is enriched from the waterfall and from your own systems, AI scores it against a rubric you wrote, and the score and the reason go back to your CRM.
A rubric you can point to when a lead outscores another
You write what a good lead looks like: the industries, the headcount band, the plan they should already be on, the disqualifiers. That rubric is what a rep can point to when a lead outscores another.
Lead scoring on what they pay, ask, and do
Stripe, Zendesk, PostHog, Gong, and Postgres feed the score alongside the waterfall firmographics. A lead on a paid plan with three open tickets scores on that, not only on its headcount.
Automated lead scoring across the whole list in one pass
AI scores every lead against your ICP from 0 to 100 and writes the reason beside the score. Change the ICP and re-run the scorer, whether the list came from your CRM, a CSV, or a people search.
Score and reason written to your CRM as properties
Both write back to HubSpot, Salesforce, Attio, or Pipedrive on every paid plan from $20, into properties you create once. Reps filter on the score where they already work.
Lead qualification ends in a rep or a sequence
Save the leads above your threshold as a view and an email and LinkedIn sequence enrols from it, with the reason feeding the opening line. Every reply lands in one shared inbox.
Score your leads with the reason beside each one
Free plan: 200 credits a month, 3 integrations, no card
Example rubric
Fits: B2B software, 20 to 500 employees, a sales team, and HubSpot or Salesforce in the stack. Strong signals: a paid plan in your Stripe and activity in the product this month. Disqualifiers: agencies and companies under 10 people. Strong fits score 70 or above, possible fits 40 to 69, and poor fits under 40. Every score carries its reason.
What a first run costs
See the most a run can cost before it starts, then read a score and its reason on every lead. The Free plan includes 200 credits a month.
Lead scoring pairs teams set up first
The source holds the fact that moves a score. The destination puts the score and reason to work.
Bring Stripe plan and payment status onto HubSpot contacts so a signup already paying you scores on that, not as a cold prospect.
Pull PostHog feature usage onto the lead so the Salesforce score reflects what they did in the product, not just their title.
Add open Zendesk tickets to Attio so a lead who asked about an upgrade last week scores above one who never wrote in.
Query your own Postgres for seats and logins, then write the score into the Pipedrive deal so reps sort their pipeline by it.
Post every HubSpot lead that crosses your threshold to a shared Google Sheet with the reason attached, so the owner knows why before the first call.
Score a conference list sitting in Google Sheets against your rubric and write the score and the reason to Close as custom properties.
Lead scoring software: common questions
What is lead scoring software?
Lead scoring software ranks every lead by how well it matches your ideal customer, so reps work the best fits first. Oneprofile does this with AI: a rubric you wrote decides the score, and both the score and the reason land in your CRM as properties.
How does automated lead scoring work in Oneprofile?
You describe your ICP in plain words. AI reads everything known about each lead, both the enriched firmographics and what your own billing, support, and product tools hold, then scores each lead 0 to 100 with a written reason. Change the rubric and re-run the scorer to re-score every lead.
Can a lead scoring system use my Stripe, Zendesk, or product data?
Yes. Stripe, Zendesk, PostHog, Gong, and Postgres are five of the 142 integrations that can feed a score. A lead who's active in the product or asked support about upgrading scores on that, not just on headcount and title.
Does the score sync back to HubSpot or Salesforce?
Yes, on every paid plan from $20 a month. The score, the reason, and the enriched fields write back to properties you create once in the CRM, so reps can filter on the score where they already work.
Why is a written reason better than a points-based lead score?
A lead scored 72 on points tells a rep nothing about why. The written reason underneath does the work: a paid plan, an open support ticket, a spike in product usage last week. The rep knows what to open with, and trusts the ranking.
How much does lead scoring software cost?
One credit meter with a published price per operation, and the cost of a run shown before it starts. The Free plan includes 200 credits a month, Team is $20 for 1,000, and credits never expire. A lookup that finds nothing is never billed.
