Sales Principles
What guides us?
Sales converts qualified interest into committed revenue. Marketing optimizes for attention. Sales optimizes for trust. The distinction matters because trust requires skin in the game — accountability needs a who, not a what.
Value Creation
Sales creates value by reducing the buyer's risk of a bad decision.
Buying B2B software is hard. The decision-maker has usually never bought that type of software before. There are countless options that look similar. Forty percent of B2B purchase processes end in no decision — not because the product failed, but because the buyer couldn't navigate the choice.
The salesperson who guides the buyer through that fog — who admits when they're not the best fit, who communicates tradeoffs honestly — earns the right to close.
| Principle | What It Means |
|---|---|
| Trust over transaction | The higher the deal value, the more human presence matters. The lower the deal value, the more AI can handle end-to-end. |
| Guide over pitch | Buyers want perspectives on the market, help comparing alternatives, and education on outcomes — not feature lists. |
| Pain before product | Every sales conversation starts from validated pain, not your roadmap. |
| One channel, one product | Until $1M ARR, focus beats breadth. Prove one channel works before expanding. |
| Skin in the game | Accountability closes deals. AI can draft the email; a human must own the relationship. |
Essential Data
The data that drives sales decisions. Without these, you're guessing.
| Data Domain | What It Contains | Decisions It Drives |
|---|---|---|
| Pipeline | Deals by stage, value, age, probability | Resource allocation, forecast, hiring |
| ICP profiles | Target archetype with psycho-logic (what they say vs do) | Pursue/nurture/disqualify |
| Activity history | Outreach sent, responses, meetings, proposals | Channel effectiveness, rep performance |
| Conversion rates | Stage-by-stage close rates, cycle times | Bottleneck identification, funnel design |
| Revenue actuals | ARR, MRR, deal size, CAC, CLV | Unit economics, growth rate, payback period |
| Engagement signals | Content downloads, email opens, website visits, LinkedIn activity | Timing of outreach, deal priority |
| Win/loss reasons | Why deals closed or died | ICP refinement, pitch improvement, product feedback |
Impact of bad data: Wrong ICP = wasted discovery calls. Stale pipeline = false revenue forecast. Missing win/loss reasons = repeating the same mistakes.
Glossary
| Term | Definition |
|---|---|
| ICP | Ideal Customer Profile — the archetype of who buys, defined by psycho-logic not just demographics |
| CAC | Customer Acquisition Cost — total sales + marketing spend to acquire one customer |
| CLV | Customer Lifetime Value — total revenue from a customer over the relationship |
| ARR | Annual Recurring Revenue — normalized annual value of recurring contracts |
| MRR | Monthly Recurring Revenue — monthly value of recurring contracts |
| Pipeline coverage | Ratio of pipeline value to quota; healthy = 3-4x |
| Sales velocity | (Deals x Avg Value x Win Rate) / Avg Cycle Length = revenue per time period |
| POV pitch | Point of View pitch — starts with market insight, not product features |
| CLOSER | Clarify, Label, Overview, Sell the vacation, Explain concerns, Reinforce the Decision |
| HiTL | Human-in-the-Loop — the new sales role where humans orchestrate AI execution |
| ACV | Annual Contract Value — yearly value of a single contract |
| SDR | Sales Development Representative — owns prospecting and qualification |
| AE | Account Executive — owns discovery through close |
| RevOps | Revenue Operations — systems, data, and process that support the revenue team |
| NRR | Net Revenue Retention — measures expansion minus churn in existing accounts |
| BANT | Budget, Authority, Need, Timeline — classic qualification framework |
| Discovery call | First real conversation where the salesperson listens for pain, not pitches |
Context
- Voss overlay — Principles: friction intelligence at every decision point (landing pages, sales calls, presenting)
- Sales Overview — Strategy, positioning, CLOSER framework
- Selling Capability — Sales as a core human skill
- Naming Standards — Taxonomy and nomenclature alignment
Questions
What is the minimum set of data a founder needs to track before hiring their first salesperson? At what deal size does the trust advantage of human sales stop compounding?