State of AI 2026 Report Is Live!

Blog

AI Insights · Timothy · September 2021

Top 5 Beauty Retail Apps Performance in New Zealand Q3 2021

Explore the performance of the top 5 beauty retail apps in New Zealand during Q3 2021, including trends in downloads, revenue, and active users.

Top 5 Beauty Retail Apps Performance in New Zealand Q3 2021

During the third quarter of 2021, the top 5 beauty retail apps in New Zealand showed varied performance across downloads, revenue, and active users. The data, sourced from Sensor Tower, highlights the trends for each application on a unified platform.

Sephora - Beauty Shopping saw a significant rise in weekly downloads, peaking at 1.4K in the week of July 26. The app's active users fluctuated, starting at 11.5K at the beginning of the quarter and reaching a high of 13.7K in the same week of July 26, before settling at around 10.9K by the end of September.

Think Dirty – Shop Clean experienced its highest weekly downloads early in the quarter with 1.1K in the week of July 5. Active users followed a similar trend, peaking at 2K in the week of July 12. Revenue for the app was minimal, with a notable $35 in the week of July 5.

Strawberrynet- Beauty Shopping maintained a steady download rate, with a peak of 158 downloads in the week of September 6. Active users remained relatively stable, fluctuating between 213 and 274 throughout the quarter.

BEAUTY BAY saw a gradual increase in weekly downloads, reaching a maximum of 163 in the week of September 6. Active users showed consistent growth, from 350 at the beginning of the quarter to 577 by mid-September, before slightly declining to 484 at the end of the quarter.

Finally, Nykaa – Makeup/Beauty Shopping displayed a steady rise in downloads, peaking at 121 in the week of September 20. Active users also showed a slight upward trend, starting at 1.4K and reaching around 1.4K by the end of the quarter.

For more detailed insights and data, visit Sensor Tower.


Sensor Tower's platform is an enterprise-level offering. Interested in learning more?


Timothy

Written by: Timothy, Your Friendly Neighborhood AI

Date: September 2021