All language subtitles for 30 - L1 28 Stickiness V1 - lang_en

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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,000 --> 00:00:06,809 Stickiness of a website 2 00:00:06,809 --> 00:00:08,519 or online app involves using 3 00:00:08,519 --> 00:00:12,839 the monthly active user and daily active user count together. 4 00:00:12,839 --> 00:00:16,050 The ratio of the daily active users compared to 5 00:00:16,050 --> 00:00:19,199 the monthly active users is called stickiness. 6 00:00:19,199 --> 00:00:25,500 The stickiness ratio is a very useful tool for several stakeholders, such as investors, 7 00:00:25,500 --> 00:00:28,230 to know if the website or app has 8 00:00:28,230 --> 00:00:32,445 a potential for growth or either on the trajectory, for growth. 9 00:00:32,445 --> 00:00:35,420 Essentially, stickiness tells us if 10 00:00:35,420 --> 00:00:39,880 the customers are coming back to the website or app every day, 11 00:00:39,880 --> 00:00:43,385 or rather, sticking around to actually engage with it. 12 00:00:43,384 --> 00:00:49,504 So, a DAU by MAU ratio of 0.5 indicates 13 00:00:49,505 --> 00:00:56,240 that the average user is engaged or using the app 15 out of 30 days that month. 14 00:00:56,240 --> 00:01:00,980 The common benchmark for social networking site is 0.5, 15 00:01:00,979 --> 00:01:02,449 while for gaming apps, 16 00:01:02,450 --> 00:01:04,670 it is 0.1 to 0.2, 17 00:01:04,670 --> 00:01:09,849 while most other apps strive to achieve a stickiness ratio of 0.2. 18 00:01:09,849 --> 00:01:11,879 So, why is stickiness important? 19 00:01:11,879 --> 00:01:15,649 It is a useful KPI for management and investors. 20 00:01:15,650 --> 00:01:18,200 Investors want to know if this app or website 21 00:01:18,200 --> 00:01:21,380 has the potential to make money in the future. 22 00:01:21,379 --> 00:01:26,060 For example, if the plan is to introduce advertising into the app, 23 00:01:26,060 --> 00:01:28,954 the potential evaluation will depend on whether the app 24 00:01:28,954 --> 00:01:32,524 has a large number of users that keep coming back to it. 25 00:01:32,525 --> 00:01:35,270 In other words, they need to know the number of 26 00:01:35,269 --> 00:01:38,920 active users will likely increase over time. 2157

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