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BusinessNotes/wiki/entities/ab-analytics.md
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AB Analytics (and Code to CEO)

#entity #organization

Summary

A B2B AI-consulting firm in LA, run by the (unnamed) speaker of 2026-06-15-17-ways-first-client, who also runs the Code to CEO startup accelerator. The source of this vault's client-acquisition channel taxonomy, follow-up statistics, and the DIY→DWY→DFY productization ladder.

Current Understanding

  • Positioning: the founder claims he went from ~$250k/yr as a developer to roughly double that after starting the consulting firm, and became known in LA as "the AI guy" via in-person channels (car shows, premium gyms, Chamber of Commerce).
  • Signature methodology: fish where no one else is fishing — 17 channels in three tiers (common / low-key / out-of-the-box); pick 3 (one per tier) and run them 90 days; follow up ≥5 times; niche specificity beats volume. → client-acquisition-channels, sales-discipline.
  • Productization as "the single biggest change to his client acquisition" — DIY → DWY → DFY (his current focus). → productized-service.
  • Code to CEO: the accelerator through which his named example founders ("Paul," "John," "Dom") appear.

Evidence

Contradictions / Uncertainty

  • Promotional context. The speaker plugs Code to CEO throughout, and the success stories are accelerator members. The raw note explicitly says to treat the metrics as marketing-flavored claims, not independent data.
  • Tactics assume disposable income and a major US city (Equinox, country clubs, high-end hotels) — geographically/economically specific.

Next Questions

  • What is the firm's actual name/track record beyond the video's self-report?
  • Which of the 17 channels does the founder actually rely on now, vs. which are content filler?