Framework

The Albatross Search

TL;DR

A decision framework for choosing between random walk and Lévy flight search strategies based on how resources are distributed in the market.

A decision framework for choosing between random walk and Lévy flight search strategies based on how resources are distributed in the market. Matches search pattern intensity to opportunity distribution.

When to Use The Albatross Search

Use when designing customer acquisition strategies, market expansion approaches, or product portfolio development. Helps allocate between incremental exploration and big strategic bets.

How to Apply

1

Assess Resource Distribution

Determine if resources are clustered/predictable or sparse/unpredictable.

Questions to Ask

  • Is CAC similar across channels, or does it vary 10×?
  • Are referral rates above 30%?
  • Is there geographic/demographic concentration?

Outputs

  • Classification: Clustered or Sparse
2

Select Search Pattern

If clustered: Use random walk (local search, thorough coverage). If sparse: Use Lévy flight (many small bets, occasional giant leaps).

Outputs

  • Search strategy selection
3

Implement Pattern

Random walk: Geographic expansion city-by-city, referral networks, local advertising. Lévy flight: Content marketing (small), occasional conference sponsorships (big), viral loops.

Outputs

  • Tactical execution plan

The Albatross Search Appears in 1 Chapters

Framework introduced in this chapter

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