Bring together all customer data sources into a single record of actions – emails, DMs, calls, purchase history, web traffic etc.
Use machine learning to identify the most meaningful relationships between customer actions and propensity to buy.
Create a consolidated score based on value, recent activity, changes to behaviour and the time since last engagement.
Embed in regular business processes and applications to drive sales and marketing activity.
Increasing sales conversion in residential housing