What the scoring engine does
Scoring as a system component — not a single number on a record.
Built to plug into the stack you already run, scored against the conversions you actually win, and exposed to your team — and your clients — in a way they can read.
Live behavioural scoring on every signal
Pricing-page visits, demo replays, email opens, ad clicks, calendar holds — every behavioural event updates the score in real time. No nightly batch jobs, no stale records.
ICP fit modelling — firmographic + technographic
Domain enrichment, headcount, funding stage, geography, and tech-stack signals fused into a per-record fit score. Set what 'good' looks like once, the model keeps measuring against it.
Dynamic segments that move with the lead
Segments aren't static buckets — leads slide between Hot / Warm / Cold / Education tracks the moment their behaviour changes. The nurture engine picks up the new segment automatically.
Sales-ready threshold + auto-promotion
When a score crosses the configurable threshold, the lead auto-promotes to pipeline with full context: weighted signals, top reasons, and a suggested opener for the AE.
Multi-tenant for agencies — one engine, many books
Workspace isolation, per-client scoring models, branded explainability outputs. Run scoring for ten client books from one deployment without leaking signals between accounts.
Closed-loop feedback from won/lost outcomes
Closed-won and closed-lost flow back into the model weekly. Score weights re-tune to your actual conversion patterns — not a generic baseline that drifts away from your reality.
Where scoring earns its keep
One engine, many motions.
Same ingestion layer, same scoring core, same explainability — tuned per motion. PLG SaaS, mid-market enterprise, e-commerce remarketing, agency multi-tenant, and inbound consulting all run on the same engine; only weights, ICP definitions, and integrations change.
B2B SaaS · PLG with sales overlay
Trial signups scored on activation events, ICP fit, and team-size signals. Sales-ready threshold triggers AE outreach only on accounts that justify it.
B2B mid-market · enterprise
Multi-stakeholder scoring with intent rolled up at account level. ICP fit, champion engagement, and buying-committee triangulation feed into a single account score.
E-commerce + DTC · high-AOV
Repeat-visitor scoring, cart-abandon weighting, loyalty-tier signals, and email engagement fused into a customer-value score that drives lifecycle and reactivation flows.
Marketplace + classifieds
Two-sided scoring — buyer intent on the demand side, supplier fit on the seller side — with separate models and thresholds. Both sides surface in the right inbox.
Agencies running nurture for clients
Workspace-isolated scoring per client book. Per-client ICP definitions, custom signal weights, branded explainability — one deployment serves the whole client roster.
Inbound services · consulting · advisory
Form-fill quality scoring, role-seniority weighting, project-budget signal extraction. Long sales cycles get scored on momentum, not just static fit.
Models inside the engine
No single model gets a lead score right. So we stack them.
Each model handles a distinct part of scoring — fit, intent, segment movement, threshold gating — and the outputs combine into one auditable score per lead.
LLM-backed scorer that reads the company profile against your defined ICP — size, industry, stack, region — and returns a 0–1 fit score with plain-English reasoning.
Per-event weights for pricing visits, demo plays, email opens, ad re-engagements. Calibrated to your actual conversion data, not a generic playbook.
Watches score transitions and moves leads between segments live — Hot ↔ Warm ↔ Cold ↔ Disqualified — so the nurture engine always picks up the right cadence.
Sales-ready promotion only fires when score and confidence both clear the threshold. Low-confidence high-scores route to revops review instead of straight to an AE.
Signals wired into every score
Every input that moves a score — integrated.
Behavioural, firmographic, marketing engagement, and outcome signals — pulled in parallel, normalised into a single lead schema, versioned alongside the models that consume them.
Solution & technology — not a campaign service
Built to deploy. Built to co-deploy.
Lead scoring shouldn't be locked behind a managed-service contract. Our system is infrastructure you deploy inside your stack — directly, with your engineers, or with us riding alongside. Agencies productise it across a client roster; in-house growth teams embed it into their own ops layer; founders run it as the spine of their CRM.
- In-house growth teams — Run it as a permanent component of your stack — your engineers own the deployment, we tune the models.
- Agencies + consultancies — Embed it in client engagements with workspace isolation and white-label outputs. One deployment, many client books.
- Founder-led ops — Spin it up on top of your CRM in weeks. No SDR team needed to make it work — the system carries the qualification load.
Why Axccelerate for scoring
Not a number on a record.
A scoring system.
Point tools deliver one input. We deliver the whole substrate — ingestion, fit, intent, segment movement, threshold gating, closed-loop tuning — with the explainability your team and your clients can actually read.
Pricing
Priced to the deployment, not the lead volume.
We scope against your stack, your ICP, and your client/book footprint before quoting. Agency multi-tenant deployments price differently from a single in-house team — both are first-class citizens.
Your scoring engine — engineered.
30-minute scoping with a senior engineer. You'll leave with a deployment plan, integration sketch, and realistic timeline — whether you're shipping it for your own pipeline or for a client roster.