What metrics would you chose for TikTok Live?

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Product description: TikTok is a social sharing app that enables users to upload and share short videos upto 60 seconds length. TikTok users view videos that match their profile interests and Tiktok’s algorithm provides recommendations on next videos to watch.

Goals:

Tiktok wants to increase the time user spend on their App uploading the content, live sharing, sharing uploaded content, like, comment on other user’s content.

Tiktok’s monetization strategy is based on in-app purchases, commission from the creators and ads in the form of Tiktok business accounts, challenges.

Which shows the user engagement on platform drives the monetization aspect of their business.

Users journey:

  1. Creator User- creates content, uploads and shares content with followers, deletes content from Tiktok.  Live broadcast to followers,
  2. Viewer User – Searches content by topics of interest, followes creators, unfollows creators, views videos, views live videos, likes/comments/shares videos.
Framework:
  1. Adoption /Acquisition : There are millions of users active on Tiktok platform today, the feature became so popular that there are other social media platforms following the same path where YouTube launched YT shorts, IG launched reels to capture the market share. Hence, adoption and acquisition are not an issue for Tiktok.
  2. Retention: With other social media backed up by successful products in other domains breaking into short video sharing and recommendations, I feel it is important for Tiktok to keep check of the user churn and understand how good they are at user retention.
  3. Engagement: As I talked earlier in the goals, the user engagement on Tiktok platform drives monetization as they are closely coupled due to the monetization strategy utilizing user engagement aspect of the App, I want to focus on the engagement as important metric. How much time does a user spend on Tiktok daily? How do they interact/engage with the platform is important to know the success of the business.
  4. Monetization: Tiktok obiviously wants to monetize the platform hence they have recommendations based on user preferences and user activity on Tiktok for in-app purchaes, they infact have developed a virtual currency “Tiktok coins” that users can buy with real money and gift to creators, creators then pay commission to Tiktok. It is important to know health of these Tiktok coin transactions to understand whether monetization strategy needs improvement.
Tradeoffs:
Focusing on the two primary goals of user engagement and monetization sounds good as a metric however, I feel I have not consider the content quality for the engagement section.
Increasing creator engagement will not alway mean quality content so I think there is need to further segment user base on categories based on account age, having an algorithm in place that will provide accurate data to derive engagement for quality content only.
Summarize:
Primary metrics:
I would focus on creator and user engagement with the following metrics-
-% growth in user interactions such as likes, comments over time (D/W/M/Quarterly/YoY)
-% growth in creator content uploads by account age
-% growth in Tiktok coins transactions over time (D/W/M/Quarterly/YoY)
Secondary metrics:
-% growth in followers over time (D/W/M/Quarterly/YoY)
-% growth in gifted coins over time (D/W/M/Quarterly/YoY)
-% growth in views for each category videos, live videos
Moonshot:
– Track content quality, creator segments based on popularity, account age and determine % growth based on this data

I have a few follow-up questions that I would like to ask –

  1. Which metrics do we track – the Product metrics or the Technical/UX metrics as well? – Both of them

  2. What is the end goal of it? Do we want to track the engagement? The reason I say that is because TikTok already has millions of DAU and at this point Engagement should be the focus for this rather than Acquisition – Yes, the Engagement metrics

  3. Do you want to include metrics for users as well or just for TikTok’s team? Example – TikTok’s DAU is not publicly available to users but users’ number of followers is – Include both

Before jumping into the answer I want to start with describing what TikTok is – TikTok is a short video sharing app where users can share 60 sec videos, like and share and comment on those videos. Once they have viewed a video they can scroll up to load the next one. TikTok’s AI recommendations suggest videos that they might like. TikTok has gained huge popularity amongst millennials and companies like YouTube and Instagram have also followed its footsteps and created Shorts and Reel respectively. Users can also go live just like Instagram and Facebook and share with their followers.

So coming to metrics –

There are two types of metrics –

  1. Engagement Metrics

  2. Technical Metrics

Engagement Metrics – These are the metrics that are used to track the engagement on the live metrics feature for users. These are the following metrics that I would track –

  1. Daily Active Users/Weekly Active Users/Monthly Active Users

  2. Average number of videos watched daily/weekly/monthly

  3. Average view time daily/weekly/monthly

  4. Average number of videos watched per user per day/per week/per month

  5. Average number of comments per video per day/month/weekly

  6. Average number of reactions per videos

  7. Total hours of live content created per day/month/year

  8. Live video retention graph

  9. Average number of shares per video

  10. Total video views per video – organic

  11. Total video views video – paid/sponsored/promoted

  12. Total video views video – autoplayed

  13. Total video views video – unique

  14. Profile visits from live videos

  15. Average follower count delta from live videos

  16. Average number of shares on videos

  17. Average revenue creators generated from live videos per month

  18. Total and Average number of abandoned sessions per user – exited live videos

  19. Total number of users who abandoned the session per video – exited live videos

Technical Metrics – These are the metrics that give us insights into TikTok’s tech, its stability and scalability. These are the following tech metrics that I would track to measure if it’s helpful for users –

 

  1. Average buffer time weekly/monthly

  2. Total app crashes as a result of playing live videos

  3. Average battery consumption for live videos

  4. Average internet data consumption for live videos

  5. Total app glitches like hang, no video, no sound during live videos