Detect · Translate · Activate

Quantify the
intelligence gap
in your revenue org

This calculator models the potential impact of Redline Growth's signal-based intelligence engine on your team's outreach capacity and pipeline quality, for both direct rep teams and indirect channel motions. Inputs are benchmarked against published B2B research.

Build your model ↓
2-4hrs
Average time spent per day on active outreach for direct and indirect sellers
23%
Average amount of B2B pipeline that is high-ICP fit.
Most teams are working low-quality opportunities.
37-47%
Greater conversion on signal-triggered outreach vs. cold or unqualified pipeline

Build your pipeline case

Set your team baseline and answer the five-question pipeline quality assessment in the Current State section. The Redline Growth Impact section derives Lever 1 (capacity recovered) from your active outreach hours and Lever 2 (pipeline quality multiplier) from the assessment. Both levers are manually overridable via the sliders. Outreach capacity and pipeline quality compound to project potential pipeline growth, with an indicative revenue estimate for ROI context.

Current State Your team baseline + pipeline quality assessment
Team size preset
Team size (reps)7
Avg quota per rep / yr$600K
Avg deal size$50K
Close rate (qualified opps)The percentage of qualified opportunities that convert to closed-won deals. This is applied against your pipeline to derive the bookings target.20%
~20% direct avg ~33% indirect/channel
Pipeline coverageThe ratio of total pipeline value to your bookings target. Higher coverage compensates for deal fallout and provides a margin of safety.: 3.0×
Quota attainment (avg)The average percentage of quota your reps are currently hitting. Industry benchmarks: 38% enterprise (SalesSo), 47% average (Forrester), 58% enterprise (ICONIQ 2025).47%
38% 47% 58% 70%
Active outreach hrs/day/repThe number of hours each rep spends per day on direct outreach, prospecting, and partner engagement. Industry benchmarks range from 2.0 to 3.1 hours; the rest is consumed by admin, CRM, and research.2.8 hrs
2.0 · low 2.8 · mid 3.1 · high 4.0 · indirect/channel
Pipeline target summary
Step 1
Total Pipeline Target
·
Pipeline needed at current close rate
Step 2
To Achieve the Total Bookings Target
·
Quota × attainment = bookings goal
Pipeline Quality Assessment drives Lever 2 multiplier
Q1Signal infrastructureFirmographic filters
How does your team identify which accounts to prioritize?
Manual research Firmographic filters Account intent Custom signal taxonomy
Q2Intelligence stateAccount lists
What does account and contact intelligence look like when it reaches reps?
Raw inputs Account lists Annotated accounts Synthesized briefs
Q3Knowledge compoundingAd hoc sharing
How does selling intelligence scale across your revenue team?
Siloed Ad hoc sharing Documented playbooks Self-improving engine
TAM scope modifier
S1Universe size15K-50K
How large is your active target universe of qualified accounts?
Under 15K 15K-50K 50K-100K 100K+
S2Revenue concentrationMixed, leaning simple
Where does your revenue concentration fall along on the simple-to-complex account spectrum?
Mostly simple Mixed, leaning simple Mixed, leaning complex Mostly complex
Quality stageThe maturity level of your team's pipeline quality infrastructure, derived from the three quality questions (Q1 signal infrastructure, Q2 intelligence state, Q3 knowledge compounding). Stage 1 Reactive means rep-driven research and manual prioritization. Stage 2 Operationalized means integrated tools feeding activity data without signal layer. Stage 3 Integrated means account-level intent signals in the stack. Stage 4 Compounding means contact-level custom signal taxonomy and a self-improving engine. Stage determines how much of the Landbase benefit remains capturable.
2 · Operationalized
Score: 6 / 12
Derived Lever 2Your Lever 2 pipeline multiplier, calculated as the product of three dampened dimensions (opportunity volume × ACV). Each dimension is derived from Landbase 2026 published stats (+47% opp volume, +43% deal size, +38% close rate measured from no-signals to account-level signals), scaled by your stage capture rate, amplified by a Redline Growth contact-level premium, adjusted for TAM scope, and dampened by 80% for real-world execution drag. Close rate lift is tracked separately and applied to bookings.
2.31×
Conversion 1.35× · Deal size 1.35×
Redline Growth Impact Intelligence engine levers
Lever 1Capacity = outreach time recoveredAuto-derived from the "Active outreach hrs/day" slider in the Current State section. Lever 1 captures both admin time recovered (SalesSo benchmark, up to 1.5 hrs/day) and prep work offset by synthesized intel (floor of 1.0 hr/day even at the 4-hour benchmark). Drag the slider to manually override.

Research time reduced + intel offset of embedded prep work = time returned for active outreach.

Multiplier1.43×
Time recovered: 1.2 hrs / rep / day
1.25× 1.50× 1.75× 2.00×
Lever 2Quality = pipeline signal strengthAuto-derived from the Pipeline Quality Assessment in the Current State section. Stage maturity × TAM scope produces a multiplier between 1.2× and 6.0×. Drag the slider to manually override; the override does not affect the assessment.

Higher-signal leads = better-qualified opportunities. Auto-set from the assessment, manually overridable.

Multiplier1.83×
Stage 1 · Reactive · 2.61× Stage 2 · Operationalized · 2.31× Stage 3 · Integrated · 1.30× Stage 4 · Compounding · 1.13×
POTENTIAL PIPELINE · EXISTING HEADCOUNT
Baseline pipeline
·
·
With Redline Growth
·
volume + quality
Potential
·
pipeline uplift
Breakdown Potential performance breakdown · annualized · activity, funnel, pipeline
Bottom Line Potential quality pipeline uplift · existing headcount
Investment Pilot and Year 1 ROI
Snapshot Pilot scenario overview
Sources Research citations & benchmark references