One of the pillars of success of any personalization initiative is the scale and accuracy of customer journey data. Technology and Machine Learning (ML) have increased the breadth and depth of always-on customer journey data to drive personalization at scale. However, this is true only for industries with access to customer purchase data. Without access to deterministic customer purchase data, the business value of personalization is difficult to establish and is subject to many assumptions.
This session will talk about how to harness passive consumer deterministic online behavioural data including sales to understand consumer journey data at scale. This will enable personalization at scale even in industries without access to customer sales data at an individual customer level. This will also enable the move from customer to consumer journeys which is relevant in any industry with repertoire purchase behaviour. This will enable integration of customer retention with customer share of wallet and with consumer acquisition strategies rather than being isolated.
Check out the incredible speaker line-up to see who will be joining Sunando.
The browser you are using is not supported that will prevent you from accessing certain features of the website. We want you to have the best possible experience. For this you'll need to use a supported browser and upgrade to the latest version.