There is a good chance you have a ton of customer data already collected from various sources for many years. From your point of sales, from your website, from your mobile application, from your products, from your social media tools, Systems like CRM, Email, Ecommerce etc. It’s all stored in your data lake but you know you are not leveraging it to the fullest. The first problem is getting all this data together in one place, the second is connecting it , the third is gaining insights from those connections.
This is where building a Customer Identity Graph using Amazon Neptune can help.
What is Customer Identity Graph?
To differentiate in a competitive marketplace, businesses are looking to provide differentiated experiences to their customers. This has pushed the need for hyper-personalization in every interaction that the customer has with a business – app, web, contact center etc. A customer identity graph provides a single unified view of customers and prospects by linking multiple identifiers such as cookies, device identifiers, IP addresses, emails, and internal enterprise IDs to a known person or anonymous profile using privacy-compliant methods. Your customer identity graph can capture customer behavior and preferences across devices and marketing channels. It acts as a central hub and enables targeted advertising, personalization of customer experiences, and measurement of marketing effectiveness.
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