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predictable-revenue

Build a scalable outbound B2B sales machine with specialized roles (SDR, AE, CSM). Use when the user mentions "outbound sales", "Cold Calling 2.0", "cold email sequences", "sales pipeline", "SDR process", "sales development", "build an outbound sales team", or "fill my pipeline". Also trigger when setting up a B2B SaaS sales team from scratch or building a lead-qualification framework to improve close rates. Covers the three lead types (seeds/nets/spears), role specialization, the referral-email method, ANUM qualification, and pipeline math. For offer design, see hundred-million-offers. For persuasion science, see influence-psychology.

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# Predictable Revenue Framework

A systematic approach to building a scalable, predictable B2B sales machine — the outbound prospecting system that helped Salesforce add $100M in recurring revenue.

## Core Principle

**Predictable lead generation drives predictable revenue.** The biggest mistake in sales is having the same people prospect AND close — specialization creates a repeatable, scalable machine. Traditional cold calling is dead; Cold Calling 2.0 (mass, personalized cold emails that generate referrals to the right person) is the new outbound.

## Scoring

**Goal: 10/10.** Score a sales process 0-10 by awarding 2 points for each of the five [Quick Diagnostic](#quick-diagnostic) rows it satisfies (prospecting/closing separated, defined outbound process, 3-month pipeline predictability, known lead-type mix, standardized SDR→AE handoff). Bands: **9-10** = role separation plus a repeatable process that predicts pipeline; **5-6** = some specialization but ad-hoc prospecting or unpredictable pipeline; **≤3** = one person prospects and closes, revenue depends on heroics. Always give the current score and the specific diagnostic rows blocking 10/10.

## The Three Types of Leads
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