Lead Scoring and Enrichment

Score a Lead the Way Your Best Closer Would

Public signal, referral path and deal shape, weighed against your criteria rather than a vendor's tier.

Start with discovery

It runs in the systems you already have

  • Salesforce
  • Google Drive
  • HubSpot
  • Google Sheets
  • Pipedrive
Explore every integration
What it looks like

Lead Scoring and Enrichment, once it is built.

You ask in your own words. It does the work in the systems that already hold it, and tells you what it changed.

Score this week's list against what actually closed for us.

Two hundred and eleven names enriched and scored. Eighteen look like your last four closes:

  • Tier A — 18 names, avg fit 0.81, all matched on two or more signals
  • Tier B — 64 names, routed to nurture
  • Dropped — 129, no reachable contact or out of segment

Scoring criteria unchanged since you last edited them on the 4th.

How it gets built

Connect, describe, run.

The same three steps whatever the process is.

  1. 01

    Connect

    The agent is wired into the systems the work already lives in. Nothing moves and nobody learns a new tool.

  2. 02

    Build

    The rules are described rather than drawn, in the words you already use to make the call.

  3. 03

    Run

    It runs on its own and hands back the decisions that need a person. The handover is designed, not left over.

More use cases

More of the work this frees up.

Browse all use cases

Questions

What people ask about lead scoring and enrichment

What is it scoring against?
Your closed-won history and the criteria you wrote, not a generic fit model. The point of scoring in-house is that your definition of a good account is not the same as anybody else's.
Where does the enrichment data come from?
Public signal, the referral path, and whatever your own systems already know about the account. Nothing here depends on one vendor's database being right.
Can we see why something scored the way it did?
Yes, and that is the part that matters. Nobody should be scoring against a model they cannot argue with, so every score carries the signals that produced it.

Pick this one, or the one costing you more.

Start with discovery