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Playbook Mapping

Scale Stage | $5-15M ARR | 30-80 headcount

Main challenge: Adding capacity without chaos. Process debt and tool sprawl.

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Playbook Mapping: Scale Stage

Essential (Do These)

PlaybookWhy Now
Growth ModelForecasting and pipeline math become critical
Lead LifecycleVolume requires clear lead management
Sales LifecycleStage gates and forecasting require this
Customer LifecycleHealth scoring and renewal process need it
GTM LifecycleEnd-to-end visibility matters at scale
Sales Territory DesignMultiple reps require territory structure
Sales Qualification MethodologyConsistent qualification across team
Executive Reporting SuiteLeadership needs unified reporting
Forecasting ModelForecast accuracy requires methodology
Quotas and Target SettingTeam quotas require structure
Sales Engagement PlatformRep productivity at scale
Conversation IntelligenceCoaching and deal visibility
PlaybookWhy Consider
ABM/ABS ProcessIf enterprise segment exists
Marketing Automation ImplementationIf upgrading MAP
Customer Success PlatformIf customer count warrants
Sales Enablement PlatformIf onboarding/enablement is challenge
Renewal ProcessFormalize if not already
Physical Event ProcessIf events are major channel
Lead and Opportunity AttributionIf attribution is pain point

Premature (Avoid For Now)

PlaybookWhy Wait
CPQ ImplementationDeal complexity doesn't justify (usually)
Partner PortalChannel program not mature enough
Advanced RevOps ModelingData maturity not sufficient
Multi-Region SetupGeographic expansion typically later

What to Skip at Scale Stage

These aren't worth the investment yet — organizations at this stage should focus on building scalable infrastructure, not optimizing what doesn't exist:

  • CPQ (Configure-Price-Quote) — deal complexity doesn't justify; structured pricing works
  • Advanced partner programs — channel programs need partner ops; start conversations, not programs
  • Multi-region GTM — geographic expansion is typically Optimize/Platform territory
  • Segment-specific unit economics — segments not stable enough for meaningful LTV:CAC
  • Advanced compensation models — keep comp plans understandable; complexity is Optimize territory
  • Full ABM infrastructure — consider 1:Few ABM, not 1:1 with dedicated resources
  • Enterprise CS platforms — if under 100 customers or under 3 CSMs, simpler tools work
  • Predictive analytics — not enough historical data for meaningful prediction