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Strategy

Network Effect Strength Spectrum

Judge defensibility by how directly each user increases value for every other user.

Difficulty
Moderate
Time to result
~weeks to results
Steps
4
Confidence
96%

The Network Effect Strength Spectrum evaluates a product according to how essential its network is to the core experience. At one end are utility products that remain useful in isolation and merely add social features. In the middle are products that combine standalone utility with a growing network. At the strongest end are communication systems whose value exists almost entirely because other participants are reachable. The framework also distinguishes direct, single-platform effects from indirect marketplace effects connecting supply and demand. By mapping user relationships, density, dependency, and switching consequences, a strategist can estimate how much defensibility the network actually creates rather than treating every product with users or sharing as a network-effects business.

Origin

Extracted from Acquired's 2016 review of recurring technology themes.

Core principles

  • 01Network effects vary greatly in strength.
  • 02Core network utility creates greater staying power.
  • 03Single-platform effects are more direct than marketplace effects.
  • 04Utility features can obscure a weak underlying network.
  • 05Network density matters more than nominal user count.

How to run it

  1. 1

    Separate Utility From Network Value

    List everything one isolated user could accomplish. Then identify which benefits appear only when other users participate.

    Pro tip Imagine the product with exactly one user to expose its standalone utility.

    Watch out Sharing buttons and friend lists do not automatically create meaningful network effects.

  2. 2

    Map the Connections

    Document whether users connect directly to peers or indirectly through suppliers, buyers, or creators. Note which relationships carry the most value.

    Pro tip Map actual transactions and communication rather than possible connections.

    Watch out A large but inactive graph can be weaker than a small, dense network.

  3. 3

    Score Dependency

    Assess how much the product deteriorates if important users, suppliers, or counterparties leave. Strong dependency indicates a stronger network effect.

    Pro tip Use retention and interaction data to identify indispensable nodes.

    Watch out High switching costs created by data lock-in are not the same mechanism as network effects.

  4. 4

    Test Staying Power

    Evaluate whether a competitor could reproduce the utility without reproducing the network. The harder the network is to reconstruct, the stronger the defensibility.

    Pro tip Examine whether users can multi-home across competing products.

    Watch out Marketplace participants may weaken defensibility by operating on several platforms simultaneously.

In the wild

MyFitnessPal Versus the Telephone

MyFitnessPal provides nutrition tracking and a food catalog even if friends are absent, so utility dominates its network. A telephone, by contrast, has almost no isolated utility; its value comes from reaching other people on the same communication network.

→ The comparison places the products at opposite ends of the network-effect spectrum.

LinkedIn's Professional Graph

Each additional relevant professional makes LinkedIn more useful for recruiters, candidates, and peers. Reconstructing the accumulated identity and relationship graph is much harder than copying the interface.

→ LinkedIn exhibits a strong and defensible network effect.

Common mistakes

Calling Every Social Feature a Network Effect

A product can contain friends, sharing, or profiles while deriving nearly all of its value from standalone utility.

Counting Users Instead of Relationships

Raw user totals conceal whether the connections are relevant, active, and dense enough to increase value.

Is it for you?

Best for

It is best for evaluating social products, communication tools, platforms, and marketplaces.

Not ideal for

It is not ideal for products whose value remains almost entirely unchanged as the user base grows.

From the transcript

“the more core your network effect is to the product itself, the more power and and or I guess staying power that that technology has.”

Ben Gilbert · 11:30

“Ben you being on Facebook makes Facebook more valuable to me. Whereas you buying stuff from Amazon only indirectly makes Amazon more valuable to me.”

David Rosenthal · 12:30

From the episode

Special: 2016 Review and 2017 Predictions

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