Account scoring that tells reps who to work, and why.

WHY GUT FEEL FAILS

Every morning your reps open the CRM and pick an account. The name they recognize. The one at the top of the list. The one that feels hot today.

That is not prioritization. That is a hunch with a login. The real cost is not the couple of wasted calls. It is the accounts that match your ICP and never get worked, because nothing surfaced them.

FIT AND SIGNAL

A working account score runs on two axes. Fit is how well the account matches your ICP. Signal is what the account is doing right now.

Combined into one number, the score decides who gets worked first and who gets dropped.

WHERE THE WEIGHTS COME FROM

Not from a whiteboard workshop. From the deals you already won.

Pull every closed-won deal. Find the attributes that show up in the wins and not the losses. Weight them by how often they appear. Scale to 0 to 100. Then set the verdict thresholds.

I built the Apollo Pipeline Orchestrator this way. Two-axis scoring on Fit and Signal, with STRIKE, NURTURE, QUALIFY, and KILL verdicts. It is live and in daily use by account executives, not a demo.

On the lead side, a Clay and HubSpot model scored every lead before a rep saw it. 11 enrichment fields per lead, a formula-driven 0 to 100 ICP score, and A, B, C, D tiers.

WHAT CHANGES

The system picks the next account every morning. Reps stop choosing and start executing.

Two reps stop working the same account. Accounts that fit get worked in order instead of by feel.

When sales and marketing argue about lead quality, you point at the model and the deals behind it. The argument ends there.

PROOF

IF YOU WANT TO TALK

KEEP READING