Introduction to Resonate Embeddings

Models are only as good as the data they’re built on

Marketers face mounting pressure to grow faster, spend less, and personalize more. That’s why predictive analytics has become the go-to for smarter decisions. But here’s the rub: doing predictive modeling well isn’t easy. Just ask your data science team! 

Imagine deciding whether to fix or replace a failing washing machine. You’d look up warranties, compare repair costs, watch product reviews on YouTube, check trusted review sites, and price shop across retailers. Most brands can’t see this full decision journey—just the clicks or buys that happen on their own channels.

First-party data offers a narrow view, and that’s why many models fail. Outdated, shallow, or disconnected signals can’t drive the outcomes marketers need: higher LTV, lower churn, smarter targeting. To predict better, you need better signals.

Increasing model efficacy and lift is a top priority for any business that leverages models and we are excited to offer a powerful solution to help our clients meet and exceed their KPIs. If you are looking to supercharge your models, Resonate Embeddings empower you with the critical data and insights needed to enhance performance and achieve your business objectives.

Resonate Embeddings: See your customers where and when you can’t

That’s where Resonate Embeddings come into play. Resonate Embeddings reveal earliest consumer intent, fast-changing preferences and hidden opportunities not visible in your first-party data alone.

Embeddings fuel your models with unmatched behavioral depth—regularly updated online consumer activity across 30B+ daily interactions. So now your models can stay aligned with shifting consumer and market dynamics with fresh, real-world online behavior and act faster on what matters most—before it’s obvious.

So now you can predict any results for any consumer.

What is an Embedding?

An embedding is a compact numeric format that represents a person’s behavior in a way a machine can understand. Instead of tracking millions of individual clicks and page views, Embeddings compress these into a concise, powerful vector—a small list of numbers that reflects someone’s online behavior and intent.

You’re probably familiar with appended attributes, like “likes yoga” or “drives a pickup.” Those are great for targeting and personalization, but they’re not built for machine learning. They’re human-readable, but not machine-ready—they’d require a lot of engineering work to transform into a format that models can actually use.

Embeddings solve this by taking the overwhelming volume of online behavior—millions of signals across millions of users—and compressing it into a single, dense fingerprint. We do this through our rAI infrastructure. The output we push forward is a vector format that plugs into machine learning workflows, ready to power smarter predictions and outcomes.

Who uses Embeddings and how?

Data science teams use embeddings within consumer models to improve model predictiveness and lift. By compressing millions of behavioral signals into a format that models can understand, Embeddings can power smarter:

• New Customer Acquisition: Predict which unknown users are most likely to convert
• Churn Prediction: Add early indicators of disengagement and risk
• Customer Lifetime Value: Identify which IDs are most likely to become high-value
• Next-best Action/offer: Anticipate what a user will do next based on behavioral themes
• Custom Attribute Modeling: Fill gaps in personas or CRM attributes with modeled psychographics, motivations or digital affinities

But embeddings aren’t just a format, they’re a performance engine. Marketing teams and agency strategists might not handle Embeddings directly—but they feel the impact. With Embeddings fueling the models behind the scenes, marketers can act earlier, personalize smarter, and grow LTV faster. Embeddings are the hidden engine making those smarter, faster predictions possible.

If you’re a marketer asking, “But what if I don’t have a data science team or resources?” We have a solution for you. Check out rAI-powered Predictive Modeling, which helps unlock the value of your first-party data — no data science resources required.

The Resonate Advantage

At the end of the day, even the most sophisticated models can only be as good as the data that feeds them. That’s why Resonate Embeddings exist—to ensure your models are powered by the freshest, deepest, and most relevant behavioral signals available.

By compressing 30B+ daily online interactions into ready-to-use machine-readable vectors, Embeddings help you predict who matters, what’s next, and where to focus—faster than ever.

Ready to see what your models have been missing? Contact our team to schedule a consultation.