Exercise & Training

Effectiveness of Step Goal Personalization Strategies on Physical Activity in a Mobile Health App: A Field Study.

TL;DR

Step goal personalization strategies (personalized-by-you and personalized-by-the-algorithm) both increased weekly step counts compared to a default goal group, but their effectiveness varied by users' baseline activity levels, indicating the need for a tailored approach for different user segments.

Key Findings

Users who set their own goals (personalized-by-you) increased weekly step count by 3793 steps compared to the not-changed group.

  • 230 users chose to set their own goals in the personalized-by-you group
  • Comparison was made against the not-changed group (933 users who chose to keep the default goal)
  • Analysis used propensity score matching and difference-in-difference analysis
  • The default goal was 2000 steps per day, 5 days a week

Users whose goals were set by the algorithm (personalized-by-the-algorithm) increased weekly step count by 4315 steps compared to the not-changed group.

  • 236 users opted for algorithm-set goals
  • The algorithm used a moving-window percentile rank method based on step data from the previous 4 weeks
  • The two personalization strategies (personalized-by-you and personalized-by-the-algorithm) appeared to have a similar effect on step counts
  • Analysis used propensity score matching and difference-in-difference analysis

Users in the not-changed group who kept the default goal also increased their weekly steps by 1759.

  • The not-changed group consisted of 933 users who responded to the email but chose to keep the default goal
  • This increase occurred without any goal personalization intervention
  • This suggests a possible response or engagement effect from being contacted by email

The personalized-by-you strategy was effective for medium- and high-active users but not for low-active users.

  • Medium-active users increased by 5842 steps per week
  • High-active users increased by 4266 steps per week
  • Low-active users increased by only 384 steps per week, which was not statistically significant (P=.82)

The personalized-by-the-algorithm strategy was effective for low- and medium-active users but not for high-active users.

  • Low-active users increased by 5095 steps per week
  • Medium-active users increased by 5278 steps per week
  • High-active users increased by only 1446 steps per week, which was not statistically significant (P=.51)

The study involved 5800 users of SamenGezond, a Dutch mobile health app, divided into two random groups.

  • Group 1 consisted of 3800 users who received an email asking about satisfaction with their current goal
  • Group 2 consisted of 2000 users who did not receive the email and retained the default goal
  • Of the 3800 users emailed, 1399 responded: 230 chose personalized-by-you, 236 chose personalized-by-the-algorithm, and 933 chose to keep the default goal
  • All users had a default goal of 2000 steps per day, 5 days a week

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Citation

Liu X, Bijmolt T, Leliveld M, Noppers E. (2026). Effectiveness of Step Goal Personalization Strategies on Physical Activity in a Mobile Health App: A Field Study.. JMIR mHealth and uHealth. https://doi.org/10.2196/81779