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Every account ranked by likelihood to close.

Volume without prioritization burns markets. We tier your entire TAM — fit, intent, and engagement — so the accounts most likely to close get the most attention, and your closers never waste a call.

Your best-fit accounts close at ten times the rate of your worst-fit accounts, but most pipelines treat them identically. That is how closers end up spending Tuesday on a company that was never going to buy, while a perfect-fit account waits in a queue.

We tier your entire market on three axes: fit, intent, and engagement. Fit is the floor, scored on industry, size, geography, and stack. Intent moves daily with live signals. Engagement promotes accounts as they open, reply, and click. Only accounts that clear your qualification bar reach a calendar, and they arrive with context: which signals fired, which message landed, what the prospect said.

Beyond legacy MQLs: three questions, not one

Legacy scoring counted PDF downloads and pricing-page visits, which is how MQL queues filled with students, job seekers, and junior researchers. Modern scoring asks three separate questions about every lead.

FitAre they the right company and the right person?ICP match plus buying authority. Explicit data: firmographics, persona, stack.
EngagementAre they actually interacting with you?First-party behavior: your site, your pricing page, your emails, your replies.
IntentIs the timing right, right now?Third-party signals: category research spikes, relevant hiring, funding events.

What earns points, and what loses them

Weighted points across each dimension, with aggressive negative scoring to filter the noise before it reaches a rep.

Fit score

Right company, right chair

  • Firmographics — revenue tier +15, headcount threshold +10, target industry +15.
  • Authority — C-suite or VP decision-maker +25, director champion +15, individual contributor 0.
  • Technographics — running a preferred or complementary stack +20.
Engagement score

Evaluation behavior, weighted

  • High-intent actions — pricing page +20, API docs +15, demo request +35.
  • Content — enterprise case study +10, product webinar +15.
  • Outreach response — positive reply to cold email +30, personalized audit link click +10.
Intent score

Buying triggers, before the form fill

  • Search spikes — heavy third-party research in your software category +20.
  • Expansion signals — fresh funding, a key hire, or job posts for roles that would use your tool +15.
Negative scoring & decay

The noise filter

  • Penalties — careers page visit −20, free email domain −50, unsupported geography −30, competitor IP −100.
  • Time decay — engagement points expire automatically after 14 to 30 quiet days. Nobody coasts on last quarter's clicks.
Lead score = (Fit + Engagement + Intent, each weighted)minus penalties and time decay

Four tiers, four automatic responses

The score is not a report. It's a trigger. Each band fires a different operational response in your CRM and outbound engine, with no human deciding who gets called first.

80+

Tier 1 · Hot (SQL)

High fit and high intent. Instant alert to the assigned rep, automated routing to a 15-minute calendar slot, and priority phone and LinkedIn outreach within 15 minutes.

50–79

Tier 2 · Warm (MQL)

High fit with low intent, or the reverse. Enrolled in signal-driven sequences, added to retargeting audiences, flagged for weekly review.

20–49

Tier 3 · Nurture

Early stage or low intent. Monthly educational touches keep your name present while intent feeds watch for a score spike.

<20

Tier 4 · Disqualified

Bad fit or a negative trigger fired. Suppressed from sequences and excluded from paid audiences, so no budget or reputation is spent on them.

The engine recalibrates itself

A scoring model that never changes drifts away from reality. Ours runs a closed optimization loop every two weeks.

Conversion audits

Win rates tracked by score band.

If Tier 2 leads start closing at a higher rate than Tier 1, the dimension weights are wrong, and they get adjusted.

Rejection codes

"Wrong title." "Too small." "No budget."

Reps tag every disqualified lead with a structured reason. Those codes feed straight back into the negative scoring engine.

Capacity alignment

The Tier 1 cutoff moves with your team.

The hot-lead threshold adjusts to sales capacity, so reps spend all of their bandwidth on the highest-probability accounts.

What lands on your calendar

Only accounts that clear the bar, and they arrive with full context: which signals fired, which message landed, and what the prospect said.

What you own, forever

Your accounts

Every tool, inbox, and dashboard is provisioned under your ownership — never ours.

Your data

Contacts, enrichment, and results live in your CRM as your permanent asset.

Your IP

Playbooks, sequences, and learnings are documented and transferred to your team.

Questions, answered directly

Why tier leads at all?

Because reply rates and close rates differ 10x between your best-fit and worst-fit accounts. Tiering routes effort where the revenue is.

Can we adjust the scoring model?

Yes — the model is documented in your playbook and tuned with your closers' feedback every month. It's your IP.

What reaches our sales team?

Qualified, scheduled meetings with context: which signals fired, which message converted, and what the prospect said.

We only win when you close.

Zero management fees. Wholesale infrastructure. A commission of up to 10% that only exists when your deals do. One two-minute conversation tells you if the math works.

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