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grid-2User Engagement (DApps)

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For this use case, we explore Balancer on Ethereum chain.

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🎯 Objective

What are you trying to achieve?

To analyze user retention and acquisition within a decentralized application (DApp). The focus is on understanding how well the DApp is retaining users over time and identifying trends in new user acquisition.

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💪 User Profile

Who would this be ideal for?

  • Product Managers

  • Growth Marketers

  • Data Analysts

  • DApp Developers

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🚀 Business Impact

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How can Orus solve your problem?

  • Analyzing retention at different time intervals (30 days, 90 days) allows identification of when users are most likely to drop off and implement strategies to keep them engaged.

  • Tracking new user count by day allows the team to measure the effectiveness of marketing campaigns and identify successful channels for user acquisition.

  • Higher retention and successful user acquisition strategies typically translate into better monetization, as engaged users are more likely to transact within the DApp.

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🤔 Questions

Questions you might have

"What percentage of users who were active in the last 180 days are still active after 90 days?"

"How does the retention rate change over shorter periods, such as 30 days or 7 days?"

"How many new users are joining the DApp each day?"

"What are the trends in new user acquisition over time?"

"Is there a correlation between new user counts and external factors such as any marketing campaigns done, market conditions, or DApp updates?"

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🔍 Exploration

How can you use Orus to explore these answers?

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Analyzing User Retention

User retention (proxy): Active users (90D) / Active users (180D)
User retention (proxy): Active users (30D) / Active users (90D)
User retention (proxy): Active users (7D) / Active users (30D)

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Analyzing User Acquisition

New user count by day

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