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What is predictive marketing?

Predictive marketing is a data-driven strategy that leverages advanced analytics, machine learning, and AI to forecast future customer behaviors, preferences, and market trends. 

By analyzing historical data, it enables businesses to proactively optimize marketing efforts, personalize experiences, and identify high-potential opportunities.

A graphic of a laptop, a target, and people icons, with the text "91% of top marketers are either fully committed to or already implementing predictive marketing."
A hand holds a megaphone, directing attention to a cloud with four icons and three dollar signs. The text says "The average lift in conversion rate for sessions infuenced by predictive intelligence is 22.66"

Predictive Marketing FAQs

Predictive marketing uses data, statistical algorithms, and machine learning techniques to forecast future customer behavior and trends, enabling marketers to proactively deliver relevant messages.

It works by analyzing historical customer data (purchases, interactions, demographics) to build models that predict future actions, such as likelihood to buy, churn risk, or preferred products.

It enables highly targeted and timely marketing efforts, leading to improved customer acquisition, increased retention, better cross-selling/upselling, and optimized marketing spend.

Benefits include proactive customer engagement, enhanced personalization, improved lead scoring and qualification, optimized campaign performance, and a higher return on marketing investments.

CRM data, website and app analytics, e-commerce transaction history, customer service interactions, and social media engagement.

It transforms customer experience by anticipating needs and delivering proactive, personalized communications and offers, making interactions more relevant and less intrusive.