Company fit
Industry, size and region compared with the companies you sell to best.
Lead ScoringOne score for every lead, and the reasons behind it.
Codexa scores each lead on how well it fits your ideal customer and how much buying intent it shows, then explains the score so your team knows why to reach out.
The problem
A list sorted by company size is not a priority list.
Teams often rank leads by one obvious number, like company size, and miss the smaller account that is ready to buy today. A score that blends fit and intent puts the right lead first.
Lead listSorted by headcount
- 1Mia ChenHalden Labs · 460 staff38Big, no intent
- 2Priya ShahNorthwind · 340 staff86Fit and intent
- 3Dan OkoyeVeritas SaaS · 210 staff74Replied
- 4Alex CarterBrightwave · 120 staff81Hiring, pricing
- 5Lena ParkKestrel Data · 85 staff61Quiet lately
Illustrative leads and sample data.
How it works
How a score gets built.
The lead is compared with your ideal customer profile: industry, size, region, role and tools. Fit sets the score ceiling.
Recent signals such as pricing visits, replies, hiring and content views add to the score while they are fresh.
Fit and intent combine into one score out of 100, with every part listed so anyone can see why it scored that high.
As new signals arrive or old ones age, the score updates and the change is logged, so your team works what is hot today.
Scoring engineFitIntentCombiningUpdatingInputs7 found
Industry: B2B SaaSFit
Fit+20
340 staffFit
Fit+16
COO, owns the decisionFit
Fit+12
Visited careers pageNot a buying signal
SeenIgnored
3 pricing visitsIntent
Intent+16
Waiting for inputs
Priya ShahNorthwindFit 48 / 60
Industry+20
Company size+16
Role+12
Intent38 / 40
Pricing visits+16
Email reply+10
Hiring signal+12
Waiting for a complete score
Score: 86 out of 100Fit 48 + Intent 38 · reasons logged
ExplainedRouting
Inside a score
A number you can actually explain.
Select a point on the score to see what each part tells your team.
Lead scoreSample dataPriya ShahCOO · Northwind
HotUp 14 this week
Fit48 of 60
B2B SaaS +20340 staff +16COO +12
Intent38 of 40
3 pricing visits+162h ago
Hiring 3 SDRs+123 days ago
Replied to an email+10Yesterday
How it changes
Intent fades over timeA pricing visit counts less after 14 daysDecayScore passed 80Moved to the top of the outreach queueNext
What goes into a score
Fit tells you who. Intent tells you when.
Every score blends a few kinds of input. You decide how much each one counts.
Person fit
Role and seniority, so the people who can buy score higher than those who cannot.
Website intent
Visits to high intent pages such as pricing, tied back to the lead and the account.
Engagement
Replies, calls and meetings with Codexa agents and your team.
Account signals
Hiring, tech changes and other signals from Intent Signals & Triggers.
Decay over time
Intent fades as it gets older, so last month's interest does not outrank today's.
Why it matters
Work the right lead first, every time.
When priorities are clear and grounded in data, conversion rates climb and reps waste less time.
01
Priorities everyone agrees on
Agents, reps and managers read the same score, so there is no debate about what comes first.
02
No black box
Every point in a score has a reason, so reps trust it and managers can tune it.
03
Timing that is real
Intent keeps the score current, so a lead that is ready today is not buried under last month's.
FAQ
Lead scoring questions, answered.
Yes. New signals raise a score while they are fresh, and older intent counts for less as it ages. Every change is logged with the reason behind it.
- Fresh signals raise scores
- Old intent fades
- Every change logged
Yes. You choose how much each kind of input counts, so the score reflects how your team sells rather than a generic model.
- You set the weights
- Matches how you sell
- Not a generic model
Every score lists the parts that built it, so a rep can read the reasons before reaching out.
- Every part listed
- Reasons before outreach
- No black box
Where it fits
Where fit and intent become one number.
Lead Scoring combines enriched data and live intent into one score that decides which leads agents and reps work first.
1You are here
Discover & Prioritize
Agents find and rank the accounts worth your time.
2Pillar
Engage & Qualify
Agents start conversations and qualify interest.
3Pillar
Report & Secure
Managers see performance, data stays in your systems.
A lead's path:EnrichmentSignalsScoreOutreach
