Syntasa Webinar: On a Scale from 0- Amazon, how Personalized is Your Brand?


On a Scale From 0 - Amazon, How Personalized Is Your Brand?

Note: The live webinar has already taken place but you can still receive a recording by filling out the form.

Consumers are increasingly expecting their favorite brands to understand their preferences and provide engaging digital experiences, including personalized recommendations and content. If the consumer feels the brand is not delivering a spot-on experience, they’re likely to turn to someone who can.

At the same time, delivering personalized recommendations helps brands better engage with customers and increase conversions – a direct impact on your company’s bottom line. According to a Salesforce study, which looked at 150 million shoppers and 250 million visits to e-commerce sites, 7% of visits clicked on a recommendation. That 7% is lucrative because it accounted for 24% of all orders and 26% of total revenue!

Top brands including Lenovo, Sky, NOW TV, and Dixons Carphone have built recommendation models with Syntasa and have seen real results. We’re organizing this webinar to explore the current personalization landscape, share customer stories, and help you evaluate options for serving better recommendations.

We discuss:

  • Why personalized recommendations are so important today
  • What a personalized experience looks like
  • How brands have implemented recommendation engines
  • How your organization can deliver personalized experiences

Presented by Syntasa leaders: Shawn Zargham (Co-Founder and Chief Technology Officer) and Michael Finn (VP Product Marketing)

Watch on Demand

As the leader in AI Assisted Customer Analytics, Syntasa is helping enterprises generate real-time, actionable customer insight to enhance the customer experience and drive conversions. Syntasa's software can be installed on-premise, allowing the enterprise to integrate individual-level clickstream data with sensitive enterprise data. By leveraging open-source technologies, Syntasa seamlessly fits in the new enterprise big data analytics ecosystem and provides easy-to-use behavioral analytics applications which significantly reduce time-to-value. The company is headquartered in the Washington, DC metropolitan area with an office in London.