Using data to inform marketing, sales, and customer experience decisions is increasingly essential for business success, no matter your industry. Mosaic Data Science understands that predicting customer behavior is increasingly critical. When businesses gain a deeper understanding of their consumers’ buying cycles and habits, they can better generate strategies to influence future behavior with relevant, targeted advertisements, content, promotions, or messaging. Armed with data, your company is more likely to succeed in keeping and growing your valued customer base.
We examine how to apply machine learning to segment based
on transaction data and transform those clusters into customer segments.
This whitepaper reviews an approach for applying machine learning and predictive analytics in a B2B sales & marketing environment.
We designed and deployed a custom NLP engine to facilitate better population health decisions for the CDC.
We built a custom, machine learning model for a leading enterprise software company, helping them identify leading indicators of churn.
Applying statistical inference is a great way for businesses to get more value out of there email marketing programs.
We examine how businesses can apply machine learning to propensity modeling, CLV, segmentation, attribution, and churn.
Propensity modeling is a powerful ML technique for solving multiple marketing analytics use cases.
Developing a custom, forward-looking customer lifetime value metric is a great way businesses can improve customer relations.
Applying AI for scoring marketing content effectiveness is a great use case for businesses.
Mosaic designed & deployed a custom recommendation engine for a social media app.