In the past, you knew your customer’s name and address at best. But as they move their interactions with you online, you now have access to more. You know what they’ve done in the past. You know their likes and dislikes. And now you can start to predict their wants and needs.
With MongoDB, you can now personalize the experience of millions of customers in real time. Faster. With less money.
Expedia is a virtual concierge – it knows if you want family-friendly holidays, business travel or once-in-a-lifetime break. Using MongoDB, it pushes special travel offers to users in real time by tracking their searches and comparisons across its site. Learn More
Personalization engines create customized online experiences for your customers in real time based on analysis of behavioral and demographic profiles, historical interactions, and preferences. They are built on top of legacy customer data management systems or they replace them altogether. Example applications include:
Deliver relevant lending offers with customized rates based on transaction history and credit scores.
Make your citizens’ first touchpoint with government services a digital one. Users interact via portals customized for their location and status.
Stay compliant by identifying customer location and ensuring data doesn’t travel across geographic borders.
Recognize your customer when they return to your site or app. Match their preferences and history to offer products that have context.
|Personalization is Hard||MongoDB Makes it Easy|
|Can't Innovate. Customer data is more than names and addresses. Now it includes browsing habits and social media profiles. These diverse data types don’t fit well in the rows and columns of a relational database.||Do the Impossible. MongoDB can incorporate any type of data, no matter what it looks like or where it comes from, while providing all the features needed to personalize the customer experience, such as customized home pages, targeted offers and social network sign-on.|
|Can't Customize at Speed. You have an instant to target your customer. But the moment has gone, because you first have to transform your customer data before loading it into a data warehouse. Then you have to pull it out again. Only then can you build personalized profiles.||Faster. Personalize in real time. You can run complex queries directly against your data. No more extracting, transforming and loading.|
|$$$$. Customer data is spread across multiple silos, because each application has its own identity management system. You can’t get a single view of your customer. And you have to maintain redundant data in multiple places.||$. Bring customer data into a single database shared by multiple applications, such as e-commerce, CRM, billing and more. Eliminate silos, and make life simpler for developers and ops.|
Your customers’ expectations have gone up. But your database is still the same.
Organizations are using MongoDB for personalization because it lets them store any kind of data, analyze it in real time, and change the schema as they go.
Personalization platform built 4x faster with 50% of the resource vs. Oracle
50% increase in paid subscribers after moving from RDBMS to MongoDB
Migrated from Oracle & MySQL to MongoDB
Personalized flash sales for millions of customers