OKR template to significantly reduce Customer Acquisition Cost (CAC) for our mobile app

public-lib · Published 11 months ago

This OKR aims to effectively decrease the Customer Acquisition Cost (CAC) for a mobile application. The first objective focuses on improving app store optimizations to increase organic downloads by 20%. It includes leveraging user feedback for app improvement, enhancing keyword strategy in app descriptions, and optimizing app visuals for better discoverability.

The second objective aims to boost the referral program to increase organic acquisition by 30%. This involves redesigning referral incentives, implementing an easy-to-use referral process, and launching a marketing campaign promoting the referral program.

The third objective is targeted at optimizing marketing channels via A/B testing to enhance conversion rates by 15%. The initiatives include identifying variables for testing, analysing results, implementing changes, and executing the tests in the identified marketing channels.

The fourth objective intends to decrease the app installation cost by 25% by optimizing ad targeting. The initiatives include analyzing user data to better understand demographics, monitoring and adjusting ad performance, and refining ad targeting parameters based on analysis.
  • ObjectiveSignificantly reduce Customer Acquisition Cost (CAC) for our mobile app
  • Key ResultImprove app store optimizations to increase organic downloads by 20%
  • TaskLeverage user feedback for app improvement
  • TaskReview and enhance keyword strategy in app descriptions
  • TaskOptimize app icon and screenshots for better visibility
  • Key ResultEnhance referral program to increase organic acquisition by 30%
  • TaskRedesign referral incentives to make them more attractive
  • TaskImplement user-friendly referral process in the app/website
  • TaskLaunch marketing campaign to promote referral program
  • Key ResultImplement A/B tests on marketing channels to enhance conversion rates by 15%
  • TaskIdentify key variables for A/B testing in current marketing channels
  • TaskAnalyze results, identify successful variables, implement changes
  • TaskPlan and execute A/B tests in the identified marketing channels
  • Key ResultDecrease app installation cost by 25% through optimizing ad targeting
  • TaskAnalyze user data to better understand our successful app installation demographics
  • TaskMonitor and adjust ad campaigns based on performance metrics
  • TaskRefine ad targeting parameters based on this analysis
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