Last year we told you how Chain-Based Attribution takes human error out of the equation with machine learning that actually looks at your data to see what works. Now marketing executives are reimagining how they think about marketing programs and their team’s contribution to revenue. See how companies are finally unlocking their buyer journey with Chain-Based Insights.
We've seen multi-touch attribution in action for north of a decade. And the results have been... less than stellar. In 2020 - it's all about understanding and optimizing for the buyer journey.
Over the past five years, we’ve seen an advancement in AI, machine learning, and natural language processing. Because of these developments, it’s now possible to adopt an improved approach to buyer journey analysis.
Think attribution, buyer journey optimization, next best action, measuring the removal effect, identifying likely lost opportunities, to bias-free engagement scoring.
Dive deep into Markov Models and how they're changing the way B2B marketers think about attribution and historical modeling.
Download the expert guide and learn new ways to impact the buyer journey through machine learning models.
CaliberMind was made to help B2B marketers make sense of their data so they can make decisions with confidence and scale faster.
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