How to Track and Analyze Customer Engagement Metrics in Getcorrelated

If you’re responsible for a SaaS product, you know tracking customer engagement is a must. But half the advice out there is either too vague (“just measure engagement!”) or buried in dashboards you’ll never check. This guide is for product managers, growth folks, or anyone who actually wants to see what users are doing—and do something about it—using Getcorrelated.

Let’s skip the fluff and get right into how you can track, analyze, and actually use customer engagement metrics in Getcorrelated. You don’t need to be a data scientist, but you do need to know what matters (and what’s noise).

Step 1: Decide What Actually Matters

Before you even open Getcorrelated, take a beat. Not all “engagement” is worth tracking.

  • Don’t just count logins or pageviews. A customer logging in doesn’t mean they got value.
  • Do focus on actions that tie directly to the value your product promises. For example:
  • For a project management tool: Creating tasks, completing projects, inviting teammates.
  • For a reporting app: Generating reports, sharing results, setting up integrations.

Pro Tip:

If a metric can go up and your business doesn’t get better, it’s a vanity metric. Ignore it.

Write down the top 2-4 actions that signal real engagement for your business. These will be your “North Star” metrics in Getcorrelated.

Step 2: Set Up Event Tracking in Getcorrelated

Now it’s time to track those key actions. Getcorrelated works by collecting “events”—think “user did X thing.”

How to Set Up Event Tracking

  1. Integrate Getcorrelated with your product.
  2. Usually, this means dropping a JavaScript snippet into your web app or setting up an SDK on the backend. If you’ve ever installed Google Analytics, you’ll get the idea.

  3. Don’t overthink this. Getcorrelated has guides for most stacks.

  4. Track your North Star events.

  5. For each action you picked in Step 1, instrument an event. For example:
    • task_created
    • project_completed
    • report_shared
  6. Include useful properties (e.g., user ID, project ID, plan type) so you can slice data later.

  7. Avoid tracking every button click—stick to actions that mean something.

  8. Test your events.

  9. Use Getcorrelated’s debugger or event stream to make sure events fire when they should.
  10. Run through a few real user flows and check that everything’s coming through.

What doesn’t work: Trying to retroactively tag everything after launch. Instrument as you build, or you’ll end up with incomplete data and a headache.

Step 3: Organize Your Metrics and Segments

Now that events are flowing in, it’s time to make sense of them.

Use Correlated’s Dashboards

  • Pin your North Star metrics to a dashboard.
  • Don’t bury them in a sea of charts. Make your dashboard stupidly simple.

  • Example: “Active users (created a task in last 7 days)”

  • Segment users meaningfully.

  • By plan type (free vs. paid)
  • By company size or industry, if you have that data
  • By lifecycle stage (new, active, dormant)
  • Ignore: Over-segmenting. If your dashboard has 19 filters, nobody will use it.

Pro Tip:

If you can’t explain your dashboard to a coworker in one sentence, it’s too complex.

Step 4: Analyze Patterns—But Don’t Chase Ghosts

This is where most teams get lost. You’ve got data, dashboards, and… now what?

What to Actually Look For

  • Conversion funnels: Where do users drop off between sign-up and core actions?
  • Adoption over time: Are more users hitting your North Star actions as they stick around?
  • Feature usage: Which features are used—and which are ignored?
  • Churn signals: Are disengaged users showing predictable behaviors before they leave?

How To Do This in Getcorrelated

  • Use built-in funnel analysis to map user journeys. For example, “Sign up → Create first project → Invite teammate.”
  • Track cohorts: See how different user groups engage over their first week or month.
  • Set up alerts for drops/spikes in key events. But don’t freak out over every dip—look for trends, not blips.

What to Ignore

  • “Engagement” scores that mix everything together. If you can’t explain what goes into the score, don’t rely on it.
  • Charts nobody looks at. If it’s not driving action, kill it.

Step 5: Turn Insights Into Action (And Close the Loop)

Data is only useful if it changes what you do. Here’s how to make it count:

  • Flag disengaged users.
  • Set up segments for users who haven’t done a key action in, say, 14 days.

  • Use these lists for targeted emails or customer success outreach.

  • Run experiments.

  • If you see drop-off at a step, tweak the UI or onboarding. Use Getcorrelated to track if metrics improve.

  • Don’t try to fix 10 things at once—pick one, measure, repeat.

  • Share learnings with your team.

  • Short, regular updates beat quarterly deep dives nobody reads.
  • Example: “We boosted project creation by 15% after changing the onboarding flow.”

Pro Tip:

Don’t automate everything. Sometimes a quick call with a disengaged user tells you more than a month of charts.

Step 6: Avoid the Usual Pitfalls

Even the best tools can’t save you from common mistakes. Here’s what to watch out for:

  • Tracking too much, acting on nothing.

  • More data isn’t better if nobody uses it.

  • Ignoring qualitative feedback.

  • Numbers tell you what, not why. Pair metrics with user interviews or surveys.

  • Chasing “industry benchmarks.”

  • What’s good for someone else’s SaaS product might be irrelevant for yours.

  • Analysis paralysis.

  • Don’t wait for perfect data to take action. Good enough is fine—just keep iterating.

Keep It Simple, Iterate, Repeat

You don’t need a PhD in analytics to get real value from Getcorrelated. Track what matters, ignore the noise, and use your data to make small, steady improvements. If you ever feel overwhelmed, cut your dashboards in half and focus on the basics. The magic isn’t in the tool—it’s in how you use it.

Now, go see what your customers are actually doing. Then make things better. That’s the whole game.