Predictive Analytics Resource Center

Plans for collecting and using first-party data may seem less urgent — but the delay offers time for thoughtful, impactful strategy.

Predictive modeling and analytics are in use across many industries and perform many different functions, such as supporting customer retention and revenue optimization.

Mobile game analytics allows mobile apps and gaming companies to make proactive decisions, creating better user experiences that retain users and boost revenue.

Overlapping with artificial intelligence, predictive analytics is a powerful business tool in many industries.

Ad spending trends are shifting. How should marketers plan for next year’s budgets? Predictive analytics helps identify the right strategies.

Pecan’s CTO and co-founder explains the platform’s new model deployment and monitoring capabilities that supercharge data analysts’ role.

Tracking and addressing subscription churn helps subscription-based companies stay in business.

What is predictive analytics, and why does it matter? Learn the meaning and role of all types of analytics in a 3-Minute Nutshell.

Today’s CX issues have their roots in logistics and planning. Predictive analytics can transform your strategies and resource allocation.

MAU Vegas 2022 showed how predictive analytics is helping mobile app makers address privacy changes like SKAdNetwork — with proactive marketing based on understanding future user behavior.

There are a lot of bad ideas out there about AI’s role in business. Let’s bust some myths.

Low-code predictive analytics platforms are developed and tested more deeply than single-use code. Scale AI to address more business concerns — at lower cost and faster.

Insurers are going all in on AI. Companies should know what customers will want next, before they themselves are even aware.

SDKs don’t have to be an obstacle with server-to-server integration. Avoid a heavy tech lift and fast-track predictive analytics’ growth potential.

Predictive analytics can reveal likely future user behavior and determine pLTV and more to optimize your campaigns, even when individual-level data is limited.

Optimize marketing campaign performance with foresight. Use predictions based on customer data to deliver campaigns directly to your ideal future customers.

Get past the data jargon and learn the fundamentals with our guide to predictive analytics: the key ideas, implementation, benefits and more.

Sustained customer relationships are invaluable. This predictive approach boosts conversions, customer experience, and the value you deliver.

Get more conversions and boost revenue by using customer data to identify who’s most likely to take you up on a cross-sell or upsell offer.

Hire data scientists? Adopt a powerful platform? Use our interactive guide to collaborate on predictive analytics success.

You may not feel like you’re ready for AI, but odds are that your data’s ready. See how you and your data can move into the future.

We are thrilled to continue this journey together as we expand our footprint in Israel, on both coasts of the U.S., and everywhere in between. The best is yet to come.

Make it standard practice, not a special occasion, to apply data science to your business’s questions — and enjoy the rewards of taking that next step.

The caveats of building predictive analytics in-house

It’s the array of ever-changing reasons and seemingly spontaneous nature of customer churn that make this problem so perfect for predictive analytics. If something seems random, that likely just means you need a machine to find the pattern.

Predictive demand forecasting understands and predicts customer demand patterns to ensure supply meets demand at all the critical points along the supply chain.

In a constant battle for user time, developers need to keep their users engaged and happy while monitoring reduced engagement and churn rates.

Are you curious about your enterprise and how you can improve your business? Meet our latest Data Science breakthroughs.