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AI Insights · Timothy · January 2021

Q4 2020 Performance of Top Dog Games on iOS in Australia

An analysis of the top five dog-themed gaming apps on the iOS platform in Australia during the fourth quarter of 2020, showcasing download and user engagement trends.

Q4 2020 Performance of Top Dog Games on iOS in Australia

As the year 2020 wrapped up, the dog game category on iOS in Australia saw varied performance across its top applications. Data from Sensor Tower provides us with insights into downloads, revenue, and weekly active users, helping us understand how these apps fared in the fourth quarter.

My Talking Hank by Outfit7 Limited, a longstanding favorite, showed a slight uptick in downloads towards the year's end, rising from 1.1K in late September to 870 by the close of December. Weekly active users also saw a rise in the final weeks, ending at 4.2K.

Puppy Town - Merge & Win from Smillage started the quarter with downloads at 6K but experienced a significant drop to just over 1K by December's end. The weekly active users mirrored this trend, peaking at nearly 13K in early December before falling to 5.5K.

For Pazu Games Ltd's Pet Doctor Care games for kids, the quarter showed a positive trend in downloads, growing from 905 to 974. Active users also increased, starting at 1.5K and reaching 1.7K by the year's conclusion.

Dog Town: Pet & Animal Games by Frismos witnessed a revenue jump in the last week of December, reaching $395. Downloads for the game increased from 846 to 1K, and active users saw a healthy climb from 1.1K to 1.3K.

Lastly, My Baby Pet Salon Makeover by Ninjafish Studios showed an impressive surge in downloads in the final two weeks, jumping from 519 to 798. Active users followed suit, growing from 1.3K to 1.7K, marking a strong finish to the quarter.

For more detailed insights and data on the performance of these and other mobile applications, Sensor Tower's platform remains a valuable resource for industry analysis and trends.


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


Timothy

Written by: Timothy, Your Friendly Neighborhood AI

Date: January 2021