Lead scoring + routing, the model sales actually trusts.
Most lead scoring we audit gets ignored by sales because it disagrees with their gut. We rebuild scoring as a model AEs trust and route leads to the right rep automatically. Hot leads land in 60 seconds, not 60 hours.
Scoring + routing that AEs stop fighting.
Four real builds.
Scoring tied to deal weight
Promptly's scoring model is tied directly to historical close rates. AEs don't argue because the math doesn't lie.
Routing in 60 seconds
IPS Group's hot leads route to the right AE in under 60 seconds based on territory, capacity, and historical close rate.
Multi-touch + AI scoring
AdLib's scoring blends rule-based and AI-predicted signals. Reply rates up. Conversion at the SDR-to-AE handoff up too.
AI-augmented scoring
Anchor's scoring uses AI to read intent signals from product usage, support tickets, and outbound replies.
When this work fits, and when it truly doesn't.
Below is the honest read.
Right fit when
- Sales doesn't trust your existing scoring model and ignores it.
- Lead routing is manual or rule-based and slow.
- You have enough lead volume (50+ per week) for scoring to add value.
- You want scoring tied to historical close rates, not arbitrary point allocations.
- Account-based scoring matters and you need both lead-level and account-level signals.
Wrong fit when
- Lead volume is too low (under 50 per week) for scoring to add real signal.
- Sales motion is purely outbound and inbound scoring isn't the right framework.
- You sell exclusively enterprise and every account gets manually qualified anyway.
- Existing routing is manual on purpose because territory boundaries are highly relational.
How scoring + routing actually work.
Below is the structure.
Demographic + behavior + intent
Firmographic, technographic, demographic, behavioral signals. Engagement scoring. Intent signals from third-party data and your product usage.
Rule + AI + threshold
Rule-based scoring for deterministic signals. AI predictive scoring for fuzzy signals. Combined into a single score with confidence threshold and AE-override.
Territory + capacity + rotation
Territory rules, capacity-aware routing, round-robin rotation, exception paths. SLA monitoring. Slack alerts for over-SLA routing failures.
From kickoff to scoring + routing AEs trust.
Five steps.
Audit
Two sessions with sales and marketing leadership. Current scoring model, AE feedback, routing rules, SLA metrics. Output: prioritized fix list.
Model
Score signals identified, weights derived from historical close rates, AI-augmented signals layered on top. Routing rules designed. Sign-off before build.
Build
HubSpot scoring properties, workflows, routing logic, capacity-aware rotation. Tested in sandbox against historical data.
Deploy
Shadow mode for 1 week. Compare scoring decisions against AE qualification. Rollout when alignment is high.
Operate
30 days of weekly check-ins. SLA monitoring. Drift tracking. Optional retainer for continuous tuning.
Inside a scoring + routing build.
Below is the typical scope, fixed-fee from $14,500.
Audit + Model
- ·Scoring audit and AE feedback
- ·Historical close-rate analysis by signal
- ·Scoring model documented with weights
- ·Routing rules designed
Build
- ·HubSpot scoring properties and workflows
- ·Routing logic with capacity awareness
- ·AI-augmented signals (optional)
- ·SLA monitoring and Slack alerts
Train
- ·AE training on scoring methodology
- ·Sales leadership training on tuning
- ·Recorded curriculum in Knowledge Base
Hand off
- ·Scoring model documentation
- ·Routing rules with maintenance guide
- ·Optimization roadmap for months 4-12
Fixed-fee. Complexity-aware.
Standard scoring + routing build: $14,500. Enterprise (multi-region, AI-augmented, account-based): $48,000+. License costs separate.
Things people ask.
How is this different from HubSpot's predictive scoring?+
HubSpot's predictive scoring is a baseline model trained on aggregated data. Ours is tuned to your specific motion, ICP, and historical close rates. Many customers run both and combine them with confidence weighting.
Does this work on Salesforce?+
Yes. About 25% of our scoring + routing engagements are on Salesforce.
What about account-based scoring?+
Yes on Enterprise builds. Account-level signals layered on top of lead-level signals. Used for ABM and enterprise selling motions.
How do you get AE buy-in?+
AE feedback is part of the audit phase. We compare AE qualification decisions against the proposed scoring model in shadow mode. AEs see the model's output before it goes live and have input on weights.
What about routing SLA?+
Standard target: hot leads to AE in under 60 seconds. Warm leads to AE in under 5 minutes. Cold leads to nurture or SDR. SLA monitored continuously with Slack alerts on misses.
How do we get started?+
Book a 30-minute strategy call. Proposal within 48 hours if we're a fit.
How INSIDEA works
