Reference file

Advancement playbook

advancement-playbook.md

Advancement playbook

The actions that move a company from each level to the next, in dependency order, and how the scope of the work scales with maturity. Plan one level at a time.

Actions by level

From Level 1 to Level 2

  1. Write the ICP down with firmographic criteria, personas and disqualifiers.
  2. Make the CRM the single source of truth; retire side spreadsheets.
  3. Define basic qualification criteria (budget, authority, need, timing, or an equivalent).
  4. Create the first outreach templates.

From Level 2 to Level 3

  1. Add technographic and behavioral signals to scoring.
  2. Add a second outreach channel, such as social or phone.
  3. Define the intent signals and triggers that should move an account up the list.
  4. Start a weekly optimization cadence.

From Level 3 to Level 4

  1. Process intent signals as they arrive rather than in batches.
  2. Deploy trigger-based workflows, each with a named owner.
  3. Track performance by persona.
  4. Feed sales feedback and win/loss outcomes into scoring calibration.

From Level 4 to Level 5

  1. Deploy lead-level messaging, with human approval on top-tier accounts.
  2. Implement cross-channel attribution.
  3. Track win rates by persona and segment.
  4. Make scoring recalibrate itself from outcomes.

Scope by starting level

Starting level Focus Typical duration
Level 1 Foundation build: ICP, CRM, basic sequences 8 to 12 weeks
Level 2 Operationalization: scoring, second channel, optimization cadence 6 to 10 weeks
Level 3 Automation: workflows, triggers, advanced analytics 4 to 8 weeks
Level 4 Compounding: AI integration and self-improving models Ongoing

Most companies assessed honestly start at Level 1 or 2. Level 4 within six months of starting is a realistic target; skipping a level is not.

Sequencing judgment

  • Fix the binding gap first, even when it is unglamorous. A data cleanup that unblocks three dimensions beats a new channel that improves one.
  • Match investment to level. Predictive scoring on a Level 2 data foundation is over-engineering; the model learns from bad inputs and its confidence hides that.
  • Use maturity as a readiness test for any purchase. Before a tool or service is bought, identify the level it assumes. If the company is not there, the purchase waits or the plan closes the gap first.