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AI UNDER THE HOOD AT CALIBERMIND

AI is transforming Multi-Touch Attribution

Attribution is a great scorekeeper – but it can’t help us understand what to do next. AI will help B2B marketers make decisions, answering the question that Attribution can’t.

What is a Marketing Decision Engine?

A Marketing Decision Engine is an AI-enabled analytics tool that helps marketers make decisions.

How AI will deliver Marketing Decision Engines

See how CaliberMind is leaning into AI to deliver the first generation of Marketing Decision Engines.

Enables computers to learn patterns from data, improving performance through experience, without explicit programming.

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Attribution Transformed by AI

Ask the AI engine any question and get a guided narrative on what to do next.

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Uncover the good stuff

Deep analytics uses advanced algorithms to uncover hidden patterns, trends, and correlations.

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Understand your options

Data narratives transform raw data into compelling stories, using analysis to convey insights.

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Make decisions

Machine learning harnesses datasets to train deep analytics algorithms, enabling systems to make data-driven predictions and decisions.

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Roadmap

MACHINE LEARNING Released 2019

Markov Chains

Mathematical models that represent a sequence of events, where each event’s probability depends on the previous event - deployed to analyze prospect engagement and the buyer’s journey.

Data Narratives Released Spring of 2022

Pressure Events

Defines the buyer activity that leads to a desired outcome, like a trigger or converting event.

Data Narratives Released Fall of 2023

Pressure Events 2.0

Defines the accumulation of buyer activity against the complexity of your buyer’s journey that leads to a desired outcome, like a trigger or converting event.

Machine Learning\Summer of 2024

Marketing Mix Modeling

The ultimate data narrative, marketing mix modeling recommends deployment of resources based on past performance and predictive modeling.

Deep Analytics Released Spring of 2022

Data Trust Anomaly Detection

Look for anomalous data patterns within your 1st party data to localize and remove inaccurate or flag incomplete data for enrichment.

Data Narratives Released Fall of 2023

Buyer Journey Mapping

Real-time visualization of your buyer’s journey across your site that maps pressure, trigger and converting events.

Data Narratives Data Narratives - Released Fall of 2023

Probabilistic Scoring

Activities that drive conversions can diminish over time while the underlying scoring model remains static. AI-adapted models constantly monitor engagement and conversions to reset scoring.

MACHINE LEARNING\2019

Markov Chains

Mathematical models that represent a sequence of events, where each event’s probability depends on the previous event - deployed to analyze prospect engagement and the buyer’s journey.

Deep Analytics\Spring of 2022

Data Trust Anomaly Detection

Look for anomalous data patterns within your 1st party data to localize and remove inaccurate or flag incomplete data for enrichment.

Data Narratives\Spring of 2022

Pressure Events

Defines the buyer activity that leads to a desired outcome, like a trigger or converting event.

Data Narratives\Fall of 2023

Buyer Journey Mapping

Real-time visualization of your buyer’s journey across your site that maps pressure, trigger and converting events.

Data Narratives\Fall of 2023

Pressure Events 2.0

Defines the accumulation of buyer activity against the complexity of your buyer’s journey that leads to a desired outcome, like a trigger or converting event.

Data Narratives\Fall of 2023

Probabilistic Scoring

Activities that drive conversions can diminish over time while the underlying scoring model remains static. AI-adapted models constantly monitor engagement and conversions to reset scoring.

Machine Learning\Winter of 2023

Segmentation Clustering

Leverages historical 1st and 3rd party buyer behavior to define the boundaries of your ideal customers into their component segments.

Generative AI\Winter of 2023

The AI CMO

Uses search and LLM chatbots to mine websites for the most relevant content for buyers, reducing friction and increasing engagement based on where buyers are in the buyer’s journey.

Machine Learning\Winter of 2023

ICP Definition

Leverages historical 1st and 3rd party buyer behavior to frame your ideal customer for the creation of high-return digital audiences.

Deep Analytics\Spring of 2024

Behavior-Based Lookalike Audiences

Creates and exposes digital lookalike audiences from buyer behavior data not unlike the black box targeting delivered by Google Dynamic Search Ads (without the black box).

Machine Learning\Summer of 2024

Marketing Mix Modeling

The ultimate data narrative, marketing mix modeling recommends deployment of resources based on past performance and predictive modeling.

Introducing
CaliberMind Answers
— arriving spring of 2024

Launching this spring, the CaliberMind Answers module will do just that: surface answers to the questions marketers have about what’s working, what’s not, and what to do next.

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Seeing is believing.
Experience the difference.

We totally get it – past letdowns can spark doubts. We’d love to show you the engine in action so you can witness remarkable differences yourself.