As a Product Data Scientist at Instagram, measuring the success of the Instagram TV (IGTV) product would involve a combination of key performance indicators (KPIs) and metrics that help assess its impact, user engagement, and overall effectiveness. Here are some ways I would approach measuring the success of IGTV:

1. User Engagement Metrics:
   • Viewership: Track the total number of views for IGTV videos and how it evolves over time.
   • Watch Time: Measure the total time users spend watching IGTV content, both in minutes and as a percentage of overall Instagram usage.
   • Retention Rate: Analyze how long users typically watch IGTV videos and how many videos they watch in a session.
   • Likes, Comments, and Shares: Monitor user interactions with IGTV content, including likes, comments, and shares, to gauge audience engagement.

# Measure key performance indicators
total_views = data['views'].sum()
total_engagement_rate = data['engagement_rate'].sum()
total_likes = data['likes'].sum()
total_comments = data['comments'].sum()

2. Audience Growth:
   • Followers: Observe if IGTV contributes to an increase in the number of followers for both individual creators and Instagram accounts.
   • Subscriber Growth: If IGTV has a subscription feature, track how many users are subscribing to IGTV channels.

# Analyze user growth
followers_growth = data['followers'].diff().sum()
subscribers_growth = data['subscribers'].diff().sum()

3. Content Metrics:

   • Video Uploads: Measure the number of IGTV videos uploaded by creators and users.
   • Video Length: Analyze the distribution of video lengths to understand what duration resonates most with users.
   • Video Categories: Categorize and analyze the popularity of different types of content (e.g., lifestyle, entertainment, tutorials) to identify trends.

4. Monetization Metrics:

   • Ad Revenue: If there is advertising on IGTV, track ad impressions, click-through rates, and revenue generated.
   • Subscription Revenue: If there is a subscription model, measure revenue from subscriptions.

5. User Feedback and Sentiment:

   • Collect and analyze user feedback through surveys, ratings, and sentiment analysis to understand user satisfaction and areas for improvement.

6. User Acquisition and Retention:

   • Monitor how IGTV impacts user acquisition and retention on Instagram as a whole.

7. Content Discovery:

   • Evaluate how well IGTV recommendations and algorithms are at surfacing relevant content to users.

# Plot engagement metrics
plt.figure(figsize=(10, 6))
plt.bar(['Total Views', 'Average engagement rate ', 'Total Likes', 'Total Comments'],
        [total_views, total_engagement_rate, total_likes, total_comments])
plt.title('IGTV Engagement Metrics')
plt.ylabel('Count')
plt.show()

8. Competitive Analysis:

   • Compare IGTV metrics and KPIs with competitors in the video streaming space to assess Instagram's market position.

9. Quality Metrics:

   • Assess video quality, including resolution, buffering rates, and load times, to ensure a seamless viewing experience.

10. Platform Integration:

    • Analyze the extent to which IGTV is integrated into the broader Instagram platform and how it influences user behavior on Instagram.

11. Long-Term Metrics:

    • Consider long-term metrics such as user lifetime value and the impact of IGTV on user engagement and retention over extended periods.

The success of IGTV should be evaluated not only in terms of short-term metrics but also in how it contributes to Instagram's overall strategic goals, user satisfaction, and revenue generation. Regularly analyzing these metrics and conducting A/B testing and experimentation can help refine the product and drive its success.