Blog
3-Minute Nutshell: Is Predictive Analytics Accurate?
Short answer: yes. But beware the opportunity cost of endlessly fine-tuning for accuracy. We explain in 3 minutes.
December 6, 2022
Short answer: yes. But beware the opportunity cost of endlessly fine-tuning for accuracy. We explain in 3 minutes.
In just 3 minutes, explore how business leaders can use predictive analytics to solve significant business problems.
Retail and e-commerce businesses can use their data to predict customer behavior and gain a competitive advantage in today’s fast-changing market.
Businesses can leverage advanced analytics to not only adapt to customer shifts but predict behavioral changes that can help win and retain customers.
Level up your application with predictive analytics by optimizing user acquisition, growing and engaging VIP users, and maximizing user retention.
Predict customer demand and drive sales opportunities by putting your first-party data to work, predict customer relationships and win back churned customers.
In-store or online, stay one step ahead of the customer with predictive analytics. Predict buyer behavior, drive repeat purchases and strengthen customer loyalty.
Ensure business outcomes with predictive analytics. Get data-driven perspective on policyholders, predict policy churn and be proactive with customer support.
Learn how advanced analytics can help you understand the customer’s needs and make shifts that are truly adaptive.
A mobile game maker wanted to increase player engagement. Using Pecan, they cut the player churn rate in half with models built in days.