HOW ARE COMPANIES USING IT
Ever wondered why certain ads are targeted at you and your friends? This could be because you have similar user experience patterns. Machine learning algorithms analyse your buying and viewing patters based on historical data.
How it all works
Recommendation engines improves customer engagement by powering highly personalised product and content recommendations. The engine is a data filtering tool that makes use of data and algorithms to recommend the most relevant items, tailor search results, and enable targeted marketing promotions.
When making decisions based on your users buying patterns and activities plus additional demographic information from users such as age, or geographic location, companies face some of these common questions:
How can we help
By studying your customer base, services and products we are able to develop tailored recommendation engines to target specific customers.
Customer obsession is one of Intellify’s core pillars. Our organisation understands the significance of maintaining customer relationships and the importance of the customer journey. By highly personalised recommendations, you are truly engaging with the customer and understanding their needs, in ways your competitors may fall short.