Sales doing marketing's job
Instead of closing deals, reps spend time manually validating whether someone who downloaded a guide is actually interested in buying. That is qualification work, and it is marketing's responsibility.
Marketing Automation · Case Study
Highway 6.0
Replacing a broken validation-based lead system with behavioral scoring intelligence.
- Role
- Marketing Systems & Strategy
- Scope
- Lead scoring architecture, lifecycle design, sales handoff
- Platform
- HubSpot
- Status
- Proposed rebuild
~30%Current SQL
acceptance rate
acceptance rate
85%+Target SQL
acceptance rate
acceptance rate
70%Sales time spent
validating, not closing
validating, not closing
40+Workflows the rebuild
consolidates
consolidates
01
The origin
philosophy.
Behavioral scoring should determine when a lead is ready for sales.
The Highway system was built on a clear premise. Marketing educates and nurtures prospects, tracking engagement through a point system. Only when someone accumulates enough evidence of buying intent do they cross the threshold and become an SQL.
The intended path looked like this:
- 01
Download a whitepaper. Points awarded, contact enters ToFU.
- 02
Attend a webinar. More points, progress continues.
- 03
View pricing, engage with case studies. Score builds toward the threshold.
- 04
Hit the threshold. Lead goes to sales educated and primed.
Behavior proves readiness. Sales only ever sees people who have already demonstrated it.
02
What actually
got built.
Internal pressure pushed for a validation-based model instead. The system got flipped.
Every form submission went directly to sales for manual validation, with no differentiation between a whitepaper download and a demo request. Scoring still ran in the background, but it no longer gated anything. It became reporting decoration.
The path that shipped looks like this:
- 01
Any form submission. Whitepaper, webinar, demo request. All treated identically.
- 02
Straight to the sales queue. No scoring threshold, no nurture, no waiting period.
- 03
A rep manually validates. Is this a real buyer or someone grabbing a free resource?
- 04
Roughly 70% get rejected. The lead bounces back to marketing or goes cold in the queue.
Note for Drew: I reconstructed this four-step flow from your own description of the validation model, because the live page currently repeats the ideal flow in both sections. Confirm the steps are accurate before this goes anywhere.
03
The problem
this created.
Sales is spending 70% of their lead-related time on people who are not ready to buy.
No lead education
Prospects reach sales before they understand what the company offers. Conversations start at square one because nobody nurtured the lead through consideration.
No intent differentiation
Someone requesting a demo gets processed exactly like someone grabbing a free resource. The system cannot tell high intent from low intent.
Marketing cannot prove value
Without scoring driving qualification, there is no way to show that nurture programs work. Marketing becomes a lead capture mechanism instead of a qualification engine.
04
The scoring
architecture.
Four stages, one threshold each, plus a bypass for people who are ready now.
Strategic accounts advance on lower thresholds rather than inflated scores. The bar moves, the evidence standard does not.
| Stage | Score range | What is happening | ABM Tier 1 |
|---|---|---|---|
| ToFU | 0 – 69 points | Awareness. Marketing educates through content. | 50 pts |
| MoFU | 70 – 94 points | Consideration. Nurture with case studies and webinars. | 75 pts |
| BoFU | 95+ points | Decision. Demonstrated sustained buying intent. | 80 pts |
| Express Lane | +110 instant | High-intent bypass. Skip the highway entirely. | Immediate |
05
New capabilities
in 6.0.
B2B deals are committee decisions. The system should see the committee.
Buying group intelligence
Detects when two or more people from the same company are researching together. Adds a +15 convergence bonus.
Intent data integration
Account-level buying signals enriched into scoring. High intent, at or above 70, adds +20 points.
ABM tier treatment
Strategic accounts advance at 50 / 75 / 80 instead of 70 / 95 / 95. Lower thresholds, not score inflation.
Role mapping
Automatically categorizes contacts as C-Suite, Decision Maker, Technical Buyer, or Influencer.
Sales handoff intelligence
Full committee context. Who is involved, what they have looked at, and who the decision maker likely is.
06
The metrics
shift.
What the validation model produces, against what 6.0 targets.
Current · validation model
Target · Highway 6.0
SQL acceptance rate
~30%
SQL acceptance rate
85%+
MQL approval rate
No MQL stage
MQL approval rate
60 – 75%
Buying group detection
None
Buying group detection
15 – 25% of contacts
Sales time
70% validating
Sales time
85% closing
Win rate, committee deals
Baseline
Win rate, committee deals
+35% improvement
On these numbers: the target column is a projection tied to the rebuild, not measured post-launch performance. Worth labeling that way anywhere this gets presented.
07
Why Highway 6.0
exists.
The validation-based model failed, and it failed in a way that costs sales time every single day.
Sales wastes 70% of their lead time on unqualified contacts because the system sends everyone to sales regardless of demonstrated intent. Highway 6.0 fixes that in five moves:
- 01
Restore scoring as the gatekeeper. Leads must accumulate behavioral evidence before reaching sales.
- 02
Differentiate form intent. Express Lane for buyers, Highway for researchers.
- 03
Add buying group intelligence. Detect committees and provide multi-stakeholder context.
- 04
Integrate intent data. Enrich scoring with account-level buying signals.
- 05
Protect sales time. Target 85%+ acceptance against the current 30%.
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