Drive business growth with machine learning personalization
The rapid development of technology and the growing amount of time people spend online have increased the number of consumer touch points and interactions with brands they engage with. The concept of personalization (although not new) offers organizations the ability to improve brand loyalty, grow sales and revenue, and increase efficiency by using data to create more sophisticated and unique customer experiences. According to a 2019 McKinsey study, organizations that have implemented personalized recommendations and triggered communications have realized a 5–15 percent increase increases in revenue and a 10–30 percent increase in marketing spend efficiency.
As the ability to deliver more sophisticated experiences has evolved over time, consumers today expect real-time, curated experiences across digital channels as they consider, purchase, and use products and services.
However, many organizations struggle to deliver personalized experiences due to scale limitations of static, rule-based systems; complexities and costs implementing a machine learning (ML)-based solution; and friction with platform integration.2
Amazon Personalize enables developers to build applications with the same ML technology used by Amazon.com for real-time personalized recommendations—with no ML expertise required. Amazon Personalize makes it easy to develop applications for a wide array of personalization use cases, including specific product or content recommendations, relevant product rankings, and customized marketing communications. In this eBook, we’ll take a deeper look at Amazon Personalize and what it can mean for your business.