Smart Guide To

AI Marketing

Accessible AI is a game-changer for marketing. AI unlocks cross-channel customer engagement by answering who, what, when, how, and where for marketers. Marketers can now harness its predictive power, unlock valuable customer insights, and personalize campaigns at scale.

Let’s break down the nuts and bolts of AI, explore its day-to-day applications, and discover remarkable results.

AN INTRODUCTION TO

Smarter Marketing with AI

Today’s customers have sky-high expectations for marketing — and these expectations extend to a growing number of channels and devices. What’s more, marketers are also expected to have a greater hand in tailoring the entire customer journey. So how are marketers supposed to deliver personalized messaging across a myriad of channels, while remaining agile and responsive to each customer’s evolving needs? The answer lies in AI marketing. 

In this guide, we’ll introduce you to the AI marketing basics and how it helps marketers increase efficiency and ROI.

See Real Results

AI-Powered Marketing

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Improved Performance

AI helps marketers better engage and convert customers through relevant, timely interactions. Built-in optimizations continuously improve campaigns as they run.
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Upleveled Day-to-Day tasks

AI frees marketers from mundane and tedious day-to-day responsibilities so they can focus on creativity, strategy, and new revenue-generating ideas.
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Better Productivity

Marketers can streamline manual, time-consuming processes around data gathering, segmentation, customer insights, campaign orchestration, and execution.
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Become More Self-Sufficient

With AI tools built specifically for them, marketers no longer need to rely heavily on engineering and data science resources to run campaigns.

The Secret Sauce

Breaking Down the Science

AI is simply a process of learning meaningful predictions or patterns through data and using the predictions to automate business decisions. Collectively, AI is a set of computational algorithms that takes data as inputs and produces insights in the form of predictions (scores) or patterns (segments or groups). We can then use these predictions to make automated decisions, and it’s key to distinguish between the two.

  • Predictions are insights
  • Decisions are actions

Once AI reaches a conclusion as to its prediction and decision, it’s critical to run experiments to test the validity.

Customer Success Story

Predictive Insights and Personalization Drive Increased Revenue at Slickdeals

“Blueshift has been key to creating personalized, automated journeys while also increasing efficiencies. We’re able to leverage predictive capabilities to identify the secret recipe for finding the right time and the right channel to send the right message.”

Kristina Paulos
Kristina Paulos Director of CRM Marketing, Slickdeals
View Case Study

personalize every experience

Make Every Interaction Relevant

Download our Smart Guide to learn how.

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