Key Findings & Business Implications
Key Findings & Business Implications
01 — PEAK CALORIE EXPENDITURE
Users recorded their highest average calorie expenditure between 4 PM and 7 PM.
INSIGHT
This period represents a potential window for testing time-sensitive wellness notifications and engagement.
POTENTIAL APPLICATION
Bellabeat should use the 4 PM–7 PM period as a starting point for testing personalized wellness engagement. The company should also compare engagement results across different delivery windows rather than assuming that one timing strategy would work for every user.
02 — LOW BODY-FAT MEASUREMENT ADOPTION
Only 2 of 11 unique IDs recorded body-fat measurements.
INSIGHT
Body-fat measurement was not widely used within this dataset, suggesting that the body-fat measurement feature was not widely used among the participants.
POTENTIAL APPLICATION
Investigate potential barriers to body-fat measurement, including monitoring customer demand for body-fat measurements. If customers show limited interest, Bellabeat should incorporate educational messaging into its marketing campaign, emphasizing the importance of body-fat tracking in a wellness journey.
03 — MOST ACTIVE DAYS
User activity peaked on Mondays and Saturdays, based on average Very Active Minutes.
INSIGHT
These days provide potential opportunities for targeted engagement.
POTENTIAL APPLICATION
Bellabeat should schedule activity challenges, motivational content, and selected notifications on Saturdays. Friday-evening reminders should also be sent to encourage weekend workouts and continued engagement.
04 — AUTOMATIC TRACKING PREFERENCE
Most activity reports were automatically tracked, while 37.5% were manually entered.
INSIGHT
Users demonstrated substantial reliance on automatic tracking, reinforcing the importance of convenience.
POTENTIAL APPLICATION
Bellabeat can use the high adoption of automatic tracking as a key marketing message to demonstrate the convenience of its products and continue improving automatic activity detection to preserve the convenience users already demonstrate a preference for.