How Dixons Carphone built and activated their own personalised recommendations in three months
What benefits can you expect from building personalised recommendations for your customers?
What you need to build your own personalised recommendations and activate them across your websites, apps, and devices
Lessons from industry leaders like Dixons Carphone, Amazon, Netflix, and Spotify
Advanced techies get super engaged when Shawn talks about our product because he thoroughly covers the back end functionality using high-level tech concepts. He is a tech leader with expertise in architecting, developing, and deploying large-scale solutions for high-performance.
The former head of marketing for Microsoft, Michael is a marketing data and analytics expert with deep technical experience who, in this webinar, very eloquently explains to the business audience the WHY and HOW when it comes to delivering the ultimate experience for your customers.
AK heads Customer Advisory & Success at Syntasa, passionately working with Customers to infuse advanced MarTech into the core of their business value streams. His background is in Data and Analytics, delivering up to 5x of ROI from successfully guiding AI-powered Digital Transformations.
Like the majority of retailers, Dixons Carphone has seen a significant and accelerating share of its business move online. As their customer behavior has gone digital, it has become critically important to move from ‘one size fits all’ to ‘personalized experiences’ – by mindfully using the first-party data that is available at each stage of the customer journey.
Syntasa helps brands take advantage of their first-party behavioral data from websites, apps, and devices to create better analytics, make better decisions, and take better actions. Our self-service platform provides digital professionals with the capabilities they need to collect and process data, develop custom AI/ML models, and activate them in production systems. Gartner named us a Cool Vendor for Personalization and one of our favorite customers won IMRG’s award for ‘Best Use of AI in eCommerce’ for their personalized recommendations.