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Artificial intelligence (AI)

Power next-gen personalization with solid AI, identity and creative capabilities.

a woman with a green head scarf is looking at her phone

AI and marketing: a powerful combination (when done right)

AI is revolutionizing the marketing landscape. From campaign optimization to enhanced customer experience and creative, AI is the next frontier for brands hoping to drive efficiency and effectiveness. To make the most out of your AI, and drive powerful personalization, you need AI that works in tandem with identity resolution and creative technology.

How it works

Tech-powered marketing

AI gives marketers the power to deliver marketing and advertisements at scale with the push of a button.

Right message, right people

When powered by identity, AI works as a decision-making tool for brands to identify in-market customers and deploy impactful messages to those people.

Turning data into knowledge

AI helps marketers make smarter decisions in real-time, including what creative options will be effective with what people, or even who not to message.

Personalization at scale

Brands can truly know they’re delivering personalization at scale to real people who are actually interested.

What AI can do for your marketing

Data-driven insights
Analyze vast amounts of data to understand trends, customer preferences and behaviors in real-time.
Enhanced personalization at scale
Tailor marketing messages, content and creative to individuals at scale with ease.
Better customer experience
Anticipate and predict customer needs and preferences to make seamless customer journeys with timely and relevant experiences.
Maximized speed, efficiency and budget
Save money and time by optimizing marketing spend, reducing operational expenses and streamlining operational tasks like data entry and creative versioning.
Predictive analytics for consumer behavior
Develop insights on an individual level and en masse about future customer behaviors for more strategic and preemptive planning.
Optimizes campaigns across paid, owned and earned channels
Reach in-market customers wherever they are across channels and devices with relevant messages that drive real impact.

How are other marketers using AI?

This Epsilon research report examines how marketers are using AI now, and how they hope to evolve in the near future. 

Read the report

AI alone isn't enough

AI can’t work in a silo. Coupled with strong identity resolution and creative capabilities, AI creates a roadmap for a personalized customer journey across paid and owned channels. Brands know who they’re talking to and understand not only what to say, but where, how, why and when. Discover why these two important capabilities gives AI the right foundation.

Identity Resolution

Creative Capabilities

Epsilon’s industry-leading AI capabilities

At Epsilon, we’ve been leading the industry with AI for years. We help clients find and deliver the right messages to more in-market customers while building relationships that last—and we’re the only partner who does this in real time, at scale.

Learn how our products use AI

Our solutions use next-gen AI. Discover how our solutions can help meet your goals.

Epsilon Digital

Use predictive AI to optimize ad performance and spend.

Learn more

Retail Media

Build AI-driven audiences with real-time optimization.

Learn more

Customer (Customer Data Platform)

Utilize AI decisioning to develop stronger strategies with the click of a button.

Learn more

Loyalty

Amp up loyalty offer creation, engagement and reporting with AI-enabled content and decisioning.

Learn more

Messaging

Personalize every message with real-time AI capabilities. 

Learn more

FAQ's

What kind of AI is used in marketing? 

Marketers using AI often utilize predictive AI, generative AI or a combination of both. AI marketing tools will vary depending on a marketer’s use case for AI. Some AI in marketing examples might include:predicting customer behavior based on consumer data, generating creative copy for advertisements, etc.

How does AI marketing get smarter?

AI marketing utilizes AI algorithms to do specific tasks. These AI algorithms are built on data, which is why data quality is important. The more an AI model is utilized and the more data it draws from, the better it gets at doing those marketing tasks.

What are some of the challenges in using AI in marketing?

According to Epsilon research, marketers say data quality issues, implementation complexity and a lack of AI knowledge are common barriers. With the right AI technology partner, brands can develop a strong data foundation with identity resolution and overcome AI interoperability inside a tech stack. A proven AI technology vendor will also have a human touch, balancing automation with human expertise and strategy.

How can marketers get started with AI? 

Brands looking to use AI marketing need to consider their overall goals, use cases and current tech capabilities. The right AI vendor can help you build an AI implementation strategy built on solid data utilizing identity resolution capabilities and clearly explain how AI works inside tech. Talk to one of our experts today.

Other resources

Blog
Better AI starts with strong data and identity
Learn more
Blog
The next frontier of AI? Data quality
Learn more
Blog
How to use AI for marketing: A comprehensive guide
Learn more
Blog
Higher performing marketing campaigns require more than data and identity
Learn more
Resource center
Craft a quality AI marketing strategy that goes beyond the hype
Learn more
Blog
Generative AI vs. predictive AI: How marketers can leverage the power of each
Learn more