User Growth Models

User Growth Models is a formal analytical framework within growth analytics that specifies the mechanisms and dynamics through which new users are acquired, retained, and propagated in a product or platform ecosystem, distinguishing it from general marketing or engagement models by its focus on scalable, data-driven, and often viral or networked expansion processes.

20

Publications

1.6K

Citations

61

Authors

38

Institutions

Publications per year

2017–2026

4

Authors

61

  1. CS
    Carol Song

    Purdue University West Lafayette, United States

    1 publications · 11 citations

    1

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  2. SL
    Sid L. Huff

    Victoria University of Wellington, New Zealand

    1 publications · 113 citations

    1

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  3. AJ
    Aimee Jacobs

    University of Reading, United Kingdom

    1 publications · 17 citations

    1

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  4. DS
    Didier Sornette

    ETH Zurich, Switzerland

    1 publications · 29 citations

    1

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  5. SH
    Shu-Chun Ho

    National Kaohsiung Normal University, Taiwan

    1 publications · 46 citations

    1

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1–5 of 61

Venues

  1. Online Information Review

    2 publications · 141 citations

    2

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  2. The Lancet HIV

    1 publications · 111 citations

    1

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  3. 1

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  4. IEEE Access

    1 publications · 12 citations

    1

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  5. 1

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1–5