Are you constantly amazed by industry leaders who continue to push the envelope with hyper-personalized, relevant marketing? Marketing like Amazon or Netflix can seem far-off, but it’s within reach: the secret lies in AI.

21st-century, accessible AI is here for the taking. We’re breaking down the nuts and bolts of AI, how you can use it in your day-to-day, and how marketers are already seeing amazing results.

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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 that they access almost 24/7. What’s more, marketers are also expected to have a greater hand in crafting customer experiences (CX). So how are marketers supposed to deliver personalized messaging across a myriad of channels while remaining agile and responsive to customer preferences? The answer lies in AI marketing.

In this guide, we’ll introduce you to some AI basics, how they relate to marketing (and just how easy they are for marketers to leverage), and why AI marketing presents a fantastic opportunity for your business, no matter your budget, size, or vertical.

See Real Results

AI-Powered Marketing

Improved Performance

Improved Performance

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

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.
Better Productivity

Better Productivity

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

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.
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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.

Zumper logo over an image of outdoor balconies outside two apartment buildings

Customer Success Story

Zumper Scaled Lead Submissions by 384%

“Blueshift’s AI-powered recommendation engine allowed us to better serve our customers with targeted marketing and personalized campaigns at scale.”

Kristy Ng
Kristy Ng Director, Lifecycle Marketing, Zumper

personalize every experience

Make Every Interaction Relevant

Download our Smart Guide to learn how.