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Showing posts from October, 2022
How to target your customers wisely using life-cycle stages Different customer life-cycle stages should have different objectives, right?  You need to treat customers in each group to separate promotions, offers, and communication frequencies to continue exciting them and adequately engage with them over time. To easily monitor and measure KPIs along the way, it’s much easier to automate your entire customer base when you have a life-cycle-first strategy in place as it ensures optimal coverage rates. So, how do you go about planning a life-cycle-first strategy?  Establishing objectives per customer life-cycle Prospect or New Customer : You want to make sure to retain new customers and overcome the challenge of a single purchase or single deposit. You also want to build brand awareness and educate your customers about your product. And finally, expose them to the promotions you run. Active/Engaged Customer : With active customers, you want to retain them too, but you also want to maximi
How to think in the age of Dataism with LEO CDP ? Demo: Tasting consumer success with a Customer Data Platform (CDP) built on Google Cloud How much is a customer worth to Netflix? - Lifetime Value Implementing and Training Predictive Customer Lifetime Value Models in Python
In LEO CDP, you can import tracking events manually. All event data can be collected from 3rd-party systems or just using Excel / Google Sheets. This function could be useful if you have a lot of offline data, but need to import into LEO CDP for data unification Example Data can be viewed at this link: Import Tracking Event UI The steps are:  Customer Data Hub  => Profile Management  => Event Data Import You can watch the video for demo: