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AARRR: What Is The Pirate Metric & How to Use It To Grow Your Business

  The AARRR Framework, affectionately known as the Pirate Metrics, is a growth model that startups and scale-ups use to analyze and optimize the user journey. The beauty of the framework lies in its ability to break down the user journey into manageable chunks so you can understand, improve and resolve each one to accelerate growth. Let’s look at the stages of AARRR and how you can use this approach to grow your business. Image by Freepik The five stages of AARRR Let’s take a quick look at the five stages of AARRR so you can quickly orient yourself with the concept. Acquisition: User acquisition refers to how you help customers find your product or service. Activation: User activation refers to users' first positive experience with your product or the set of actions they need to take to become an active user. Retention: User retention is about what you can do to keep your users engaged. Referral: Referrals happen when your users love your product so much that they recommend it to

Bridging the Gap: Challenges to Greater Digital Adoption in Asia Pacific

  The broader economic story in the Asia Pacific region over the last few decades has been one of near-uninterrupted success. However, challenges have emerged in recent years, including COVID-19 and economic problems in China that have sent shockwaves across the region. As Asia Pacific's economies mature, the rate of growth has slowed. Industrialization helped the region reduce the gap with more developed economies, but further expansion will require a different approach that includes embracing digital technologies. A recent BCW report titled Digital Transformation in Asia-Pacific Communications suggests that 71% of companies plan to increase their digital transformation investments by 2025. However, 49% of respondents indicate a lack of senior management support for enacting digital changes. Economies are becoming increasingly complex and competitive. PWC reports that Asia Pacific countries must respond to these changes to stay relevant. They recommend “better data, deeper insigh