Your revenue infrastructure is solid. You have systems in place, teams are reasonably aligned, and data is mostly trustworthy. The companies that break through from here are the ones who systematize what's still manual and unify what's still siloed.
Your score by stage
Your biggest gap is in
Expansion
83
/ 100
Selection
Your market intelligence and targeting. How well can you identify, monitor, and align around your ideal accounts?
71
/ 100
Activation
Your sales execution infrastructure. Can your team act on signals efficiently, or are they drowning in manual work?
67
/ 100
Expansion
Your operational scalability. Is your data foundation solid? Do your tools talk to each other? Are you ready for AI?
Your top 3 bottlenecks
Based on your answers, these are the areas with the biggest gaps. Fixing these would have the highest impact on your revenue engine.
#1
AI Readiness
Data Too Messy for AI
The problem
Your data isn't structured or clean enough to power AI workflows. This means AI would just automate the mess. You can't leverage it for personalization, manual processes persist at scale, and competitors with clean data pull ahead.
The impact
Can't leverage AI for personalization. Manual processes persist at scale. Competitors with clean data pull ahead.
What to do
Prepare for AI by fixing the foundation. Structured fields, consistent formatting, regular enrichment. Clean data is the prerequisite for AI-driven scale. Start now.
#2
ICP Definition
ICP Exists Only on Paper
The problem
Your Ideal Customer Profile lives in a slide deck or someone's head, not in your systems. This means Marketing and Sales are making different assumptions about who to target, wasting budget and effort on the wrong accounts.
The impact
Wasted marketing budget on wrong accounts. Sales chasing leads that don't fit. No technical link between "who we want" and "who we target."
What to do
Encode your ICP directly into your CRM with data-driven criteria. Build automated rules that flag accounts matching your profile and surface them to both Marketing and Sales from a single source.
#3
Prospecting Workflow
Manual Prospecting Processes
The problem
Finding and qualifying prospects involves LinkedIn searches, Google, spreadsheets, and copy-paste. This means your pipeline is capped by manual capacity, data quality degrades with each handoff, and you can't scale without adding headcount.
The impact
Pipeline capped by manual capacity. Data quality degrades with each handoff. Can't scale without adding headcount.
What to do
Build end-to-end prospecting automation. System finds accounts, identifies contacts, verifies emails, enriches data, and delivers to CRM, without reps touching a spreadsheet.
Want help fixing these bottlenecks?
We build GTM and RevOps infrastructure for B2B companies. The same framework that identified your bottlenecks guides how we fix them.
