Driving Revenues with Highly-Personalised, Real-Time Recommendations

You face an open-ended challenge: to maximise the revenue opportunity out of each interaction with every customer. Every company faces the additional challenge of matching the right product or service based on immediate browsing and search activity along with the historical data for the customer. Recommender systems are designed to address this business need – now, more than ever, businesses are looking to capture the business moments into revenue and win market share with their personalised offers.

Using a graph for recommendation analytics is the key step towards faster and more personalised recommendations. Doing this in real-time allows for more powerful contextual analysis of data, opening up vastly more information on each customer and delivering hyper-personalised recommendations for higher engagement and increased revenues.

Join us for dinner and discussion about new and better ways of transforming your business. Ippen Digital, a pioneer in driving digital revenue through more sophisticated use of content and audience data, will share their experience with graph databases.

Discussions will be led by Martin Darling, EMEA Managing Director, TigerGraph and Jan Ippen, CEO, and Markus Franz, CTO, at Ippen Digital.