Lead Scoring uses AI to evaluate every lead in your TribeCRM pipeline and assign it a score from 0 to 100 — along with a priority category, a written explanation, and concrete next steps your team can act on immediately. By following this guide, you will understand what Lead Scoring does, how to get the most out of it, and where to find your results.
Overview
Lead Scoring analyses every lead in your pipeline using AI and scores it from 0 to 100. It pulls together everything linked to a lead — the company profile, contacts, activities, sales opportunities, subscriptions, and invoices — and evaluates it against your Ideal Customer Profile (ICP) to produce a priority category and a plain-language assessment your sales team can act on straight away.
The score, category, and reasoning are written directly onto the lead record in TribeCRM each day, and a daily digest is delivered to your team summarising what changed overnight. This feature is ideal for sales teams managing a busy pipeline who want to focus their energy on the right leads rather than figuring out which ones those are.
How It Works
Step 1. Enable Lead Scoring
Navigate to Configuration → Insider Program and enable Lead Scoring.
Once enabled, the following pop up will appear. Enter the email address you use for logging in to your Tribe CRM account.
Step 2. Lead Scoring runs automatically every day
Each day, Lead Scoring picks up all leads that were modified in the previous 24 hours and scores them automatically. New scores will appear on your lead records each morning without any manual trigger.
Behind the Scenes
The system collects all available data for each lead: organisation details, contact persons, activity history (meetings, calls, emails, notes), sales opportunities, subscriptions, invoices, and your stored ICP profile.
It checks whether the lead has been scored before, and if so, retrieves the previous score and category so the AI can compare against it.
All of this is passed to the AI, which evaluates the lead across seven weighted dimensions and produces a score, a category, and a written assessment.
Step 3. The AI scores each lead across seven dimensions
The AI evaluates every lead on a 0–100 scale across seven areas, each weighted by importance:
Pipeline Progression (20%): Deal stages, open opportunities, win/loss history, and how long deals have been sitting at each stage — including whether close dates are overdue.
Engagement & Activity (20%): Volume, diversity, and quality of interactions (meetings, calls, emails, notes) and how many different contacts are involved.
Recency & Momentum (15%): How recently the lead was active. Activity in the last 7 days scores high; dormant for 90+ days scores low.
ICP Fit (15%): How well the company matches your Ideal Customer Profile — industry, size, and geography.
Financial Signals (10%): Deal values, close probability, and any existing subscriptions or invoices.
Source & Attribution (10%): How the lead came in. Referrals score highest; unknown source scores lowest.
Data Quality (10%): How complete the lead profile is — contact coverage, organisation fields, activity history presence.
The combined score determines the overall priority category:
Hot — 75 to 100: Strong buying signals, active engagement, good fit. Pursue actively.
Warm — 50 to 74: Showing interest but not yet ready to close. Keep nurturing.
Cold — 25 to 49: Limited signals or partial fit. Monitor and re-engage when the time is right.
Dead — 0 to 24: Very low engagement or poor fit. Consider archiving or re-qualifying.
📸 [Screenshot: A lead record showing the score (e.g. 72/100 — Warm) with the category label visible]
Step 4. A full assessment is written onto the lead record
Once scored, TribeCRM writes the full assessment directly onto the lead record. You'll see the overall score and category at a glance, plus a detailed breakdown showing the reasoning behind each dimension, the lead's key strengths, main risks, and up to five concrete next steps tailored specifically to that lead.
If the lead has been scored before, the AI compares the new score to the previous one and notes whether the lead is improving, declining, or stable — giving managers an early warning before a lead goes cold.
📸 [Screenshot: The score note on a lead record showing the overall score, category, dimension breakdown, strengths, risks, and recommended next steps]
Step 5. Your team receives a daily scoring digest
After each scoring run, a digest is delivered to your team showing every lead scored that day — their score, category, and a one-line summary of what matters most for each one. You can click through directly to any lead from the digest.
📸 [Screenshot: The daily scoring email digest with a table of scored leads, scores, categories, and summaries]
Why This Matters
Most sales teams either score leads manually — slow, inconsistent, and usually not done — or rely entirely on gut feel. Lead Scoring gives every lead a consistent, evidence-based rating every single day, so your team always knows where to start without having to think about it.
The written assessment also saves significant time. Instead of opening five different tabs to piece together the story of a lead, a rep can read a 30-second summary and know exactly what the situation is and what to do next. And because the score updates over time, managers get an early warning when a lead is cooling off — before it's already lost.
FAQ
Which leads get scored each day?
Any lead that was modified in the previous 24 hours is included in the daily run. If a lead hasn't been touched recently, it won't be re-scored until it is updated again.
What if a module like Subscriptions or Invoices isn't enabled in our CRM?
Lead Scoring handles this automatically. If a module is disabled, the AI redistributes that dimension's weight across the remaining active areas — so the score is still meaningful. The lead is never penalised for missing data from a module that isn't turned on.
Can a lead's score go down over time?
Yes. If a lead goes quiet — no new activities, no pipeline progress — its recency and momentum score will drop, pulling the overall score down. A lead that was Hot three months ago but hasn't had any contact since is no longer Hot.
Where exactly is the score shown in TribeCRM?
The score, category, and full assessment are written directly to the lead record. You can also add the score as a column in your lead overview to sort and filter your entire pipeline by AI priority.
Can I adjust what the AI considers a good ICP fit?
Yes. The ICP criteria used by the scoring engine are configurable per organisation. Contact your TribeCRM administrator to update your ICP profile.
To Get the Best Results from Lead Scoring
Keep your organisation profiles complete. Lead Scoring reads company size, industry, website, address, and branch when evaluating ICP fit and data quality. The more complete the profile, the more the AI has to work with. Need help adding this data? Your AI co workers are here to help!
Here's how you can activate Inbound lead enrichment.Link contacts and log activities. Engagement and data quality together account for 30% of the score. A lead with multiple well-profiled contacts and recent logged activity will score significantly higher than one with nothing attached to it.
Create sales opportunities early. Pipeline Progression is the single heaviest dimension at 20%. Leads with no opportunities after 30+ days will score low regardless of how good the company looks on paper.
Use TribeCRM automations to act on scores automatically. Once Lead Scoring is running, you can set up automation rules in TribeCRM to trigger actions based on the score category — for example, automatically assigning Hot leads to a specific team or account manager, or creating a follow-up task whenever a lead is scored Warm. This turns the score into an active part of your sales workflow rather than just a number on a record.