Your customers spend more time online than ever. According to Pew Research, almost a third of adults say they are online almost constantly, flitting between devices throughout the day. Your customers, and your competitors' customers live in a digital world, generating two megabytes of customer data every second - a staggering 2.5 quintillion bytes of data every day. Marketers need to effectively leverage those data because your customers have high expectations.
If data science is to be truly transformational, and brands are going to deliver the experiences modern consumer’s demand, they must deliver seamless engagement on whatever channel they are on. Yet most marketers do not have enough data science resources at the ready to efficiently extract insights from their customer data. The answer: Citizen Data Scientist.
What is Citizen Data Science?
Garner defines “Citizen Data Science is an emerging set of capabilities and practices that allow users to extract predictive and prescriptive insights from data while not requiring them to be as skilled or technically sophisticated as expert data scientists." In essence, in order to delight your customers, you as marketers need to deliver personalized experiences that harness all the rich data that's been generated across their customer journey and do so at the precise moments that matter most. In many instances, this requires machine learning and data science to make it happen.
At Cheetah Digital our manifestation of Citizen Data Scientist is to provide marketers with a simple Gooey- based workflow, that a marketer can go through to build a custom model per their predictive use cases, with clicks and no code and no advance knowledge of what statistical techniques need to be deployed to solve for those use cases. They can integrate any customer data and deploy models against any target, outcome variable of interest, assuming that that data resides within our platform. It can incorporate model outcomes in predictions to a more robust customer profile that drives engagements and personalization strategies."
With Citizen Data Scientist, you can:
- Leverage simple, guided workflows to customize the family of embedded algorithms in the Cheetah Customer Engagement Suite to suit specific/unique predictive use cases
- Extend the Cheetah Send Time Optimization, Propensity, and Clustering models with customized data and parameters to more efficiently hone and optimize models
- Integrate virtually any customer data at your disposal and deploy models against any target outcome variable of interest to detect all relevant signals needed to maximize marketing potential
- Incorporate model outcomes and predictions into a more robust customer profile that drives engagement and personalization strategies
Danny is a Content Marketing Manager for Cheetah Digital. Danny has spent his career in disruptive tech start-ups driving content strategy with a current focus on how brands can connect with modern consumers through a philosophy rooted in self-reported preference data. When he’s not extolling the value of zero-party data, he is guaranteed to be out running.