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Marketers and advertisers need a unified view of consumer data to drive highly relevant marketing and advertising experiences across web, mobile, contact center, and social media channels. For example, if a consumer is shopping for a pair of sneakers on a brand’s website, the marketer would like to surface the most relevant products to save the consumer time and effort. According to McKinsey, 71 percent of consumers expect brands to deliver personalized interactions, and 76 percent of consumers get frustrated when they do not get personalized interactions. However, to deliver a personalized experience, companies need to ingest, match, and query consumer data across multiple touchpoints, including web, mobile, email, social media, and other channels, to create a unified view to understand the consumer.
This blog post describes a composable architecture pattern on Amazon Web Services (AWS) that helps data engineering teams build ingestion, matching, and querying solutions to empower marketers with a 360-degree view of their consumers. In this blog, you will learn how to connect related consumer information to develop a unified view of the consumer with higher accuracy, lower costs, and complete configurability using AWS Entity Resolution—which helps you more easily match, link, and enhance related customer, product, business, or healthcare records stored across multiple applications, channels, and data stores—and Amazon Neptune, a serverless graph database designed for superior scalability and availability.