How to Understand Web & Email Engagement Scores in Omeda

Turning behavioral signals into actionable audience segments

When you’re trying to understand how your audience is interacting with your content, it’s easy to get stuck on vanity metrics: open rates, pageviews, clickthroughs. But Omeda, a leading audience data platform for publishers, takes a deeper, more scientific approach.

Through their Engagement Scoring system, Omeda applies data science and machine learning to build detailed engagement profiles for each customer — across both web and email. These profiles help publishers go beyond surface-level metrics to identify high-value audiences, spot early signs of churn, and personalize content delivery based on how engaged someone truly is.

Let’s break down how it works.

The Four Key Metrics Behind Engagement

At the heart of Omeda’s system are four key measurements of engagement:

📊 Frequency

🕐 Recency

🔥 Intensity

📈 Momentum

Here’s what each one means:

• Frequency: How often does this person interact with your content? Someone coming back every few days is more valuable than someone who only visits once a month.
• Recency: How recently did they last engage? A visitor from yesterday is worth more attention than one from last quarter.
• Intensity: How “deep” is their engagement in each session? This could mean time spent on site, scroll depth, or the number of clicks per session.
• Momentum: Is their engagement increasing or decreasing? Someone ramping up their activity might be on the path to becoming a superfan — or a new subscriber.

Each of these metrics is scored individually on a scale of 0–100, after Omeda normalizes the data and removes extreme outliers. These scores give you a clearer, more balanced picture of how individual users interact with your content.

Segmenting Your Audience with Clustering

Once these engagement scores are calculated, Omeda uses an unsupervised machine learning technique called clustering to group users into meaningful audience segments.

This happens separately for web and email interactions, and again at the combined level. Here are the four segments Omeda identifies:

Segment	Description
At-Risk	Users who used to be active but haven’t engaged in the past two weeks.
Consistently Engaged	Longtime users with high and steady engagement across time.
Recently Engaged	People who’ve become active in the last two weeks, often showing a spike in activity.
Unscored	Users who don’t have enough data (e.g. never opened an email, or fewer than 3 web events).

Each user can have separate scores for email and web, and an overall engagement score is calculated when data is available across both channels.

Granite Data Pro has helped businesses connect over 300 platforms and services. If deeper connections and data-driven processes are a priority for your business, schedule a free consultation with us today.

How This Data Is Used in Omeda’s Audience Builder

In Omeda’s Audience Builder, these scores and segments become powerful tools for targeting and personalization. You can filter and build lists using numeric ranges or predefined segments.

Here’s what’s available:

• Web Engagement Fields
  • Web Frequency Score (0–100)
  • Web Recency Score (0–100)
  • Web Intensity Score (0–100)
  • Web Momentum Score (0–100)
  • Web Cluster (choose from At-Risk, Consistently Engaged, etc.)
• Email Engagement Fields
  • Email Frequency Score (0–100)
  • Email Recency Score (0–100)
  • Email Intensity Score (0–100)
  • Email Momentum Score (0–100)
  • Email Cluster
• Overall Engagement Fields
  • Combined Frequency, Recency, Intensity, and Momentum Scores
  • Overall Engagement Cluster

These fields make it easier to trigger automation, send personalized campaigns, or evaluate changes in audience behavior over time.

Why Engagement Scores Matters

Many publishers are trying to move away from batch-and-blast emails or generic web experiences. Omeda’s engagement scores give teams a scientific foundation to:

• Identify loyal readers and nurture them toward paid subscriptions
• Detect early signs of disengagement and run winback campaigns
• Prioritize high-momentum users for immediate outreach or upsells
• Build smarter segments for targeting advertisers

At Granite Data Pro, we help publishers put tools like this to work — turning audience data into measurable results. Whether you’re looking to activate first-party data or upgrade your campaign segmentation strategy, we can help.