If you’re in charge of a website or run experiments, you know that “user behavior” isn’t some vague concept—it’s make-or-break stuff. But tracking and actually understanding what people do on your site? That’s where most analytics tools talk a big game and deliver way too many charts, not enough clarity.
This guide is for marketers, growth folks, and product teams who want to get real insight—not just spreadsheets full of noise—from Intellimize analytics tools. We’ll walk through what actually matters, how to set things up, and what to watch out for so you don’t waste time chasing the wrong data.
Why Bother Tracking User Behavior Anyway?
Let’s cut through the nonsense: you track user behavior because you want results. Higher conversions, better retention, more revenue. Not because you want to stare at heatmaps all day.
When you track the right things, you get: - Clarity on what’s working. Which experiments actually move the needle? - Focus. Where are people dropping off, or getting stuck? - Proof. You can justify changes with real data, not just gut feelings.
But here’s the catch: it’s easy to drown in metrics that don’t matter (looking at you, “average session duration”). Good analytics tools help you zero in on what’s useful, not just what’s available.
What You Get with Intellimize Analytics Tools
The core of Intellimize’s analytics is designed for A/B testing and personalization. This isn’t a general-purpose “track everything” toolkit like Google Analytics. Here’s what Intellimize analytics actually does well:
- Test Performance Tracking: See which versions of your site (or specific changes) perform better.
- Segmentation: Break down results by user traits (location, device, source, etc.).
- Goal-based Reporting: Set up what matters (conversions, signups, revenue) and see how tests impact those.
- Journey Analysis: See where users veer off the happy path after seeing a test.
Stuff It Doesn’t Do
- It’s not a full session recording tool (no watching mouse movements).
- It won’t replace your general web analytics—think of it as an experiment- and conversion-focused layer.
- It’s not going to magically “reveal insights” without some human critical thinking.
Step 1: Decide What You Actually Want to Know
Before you open up Intellimize, figure out what you want to answer. Otherwise, you’ll end up tracking a bunch of stuff you’ll never use.
Ask yourself: - What’s the main thing I want users to do? (Buy, sign up, request demo, etc.) - Where do people get stuck or drop off? - Which changes to the site am I testing, and what do I hope they’ll improve?
Pro tip: Don’t measure everything just because you can. More data isn’t better—useful data is better.
Step 2: Set Up Tracking for Real Goals (Not Vanity Metrics)
Intellimize lets you define “goals” for your tests. This is where a lot of people get sidetracked by metrics that sound good, but don’t matter.
What Counts as a Real Goal?
- A completed purchase
- A form submission
- A sign-up or registration
- Reaching a key page (like a pricing or checkout page)
What to Ignore
- Pageviews (unless you’re a publisher)
- Scroll depth (usually noise)
- Clicks on random buttons (unless it’s a meaningful action)
Set up your primary goal first, then add secondary goals only if they actually help you make decisions.
Step 3: Launch Experiments and Let the Data Roll In
Once your goals are set, start your first experiment. Intellimize handles the technical side—splitting traffic, showing variations, and logging what happens.
A few tips: - Don’t obsess over data every hour. Give tests time to reach significance. Checking too often will just stress you out. - Don’t run 10 tests at once on a low-traffic site. You’ll get unreliable results and confusion. - Watch for edge cases. Did a test break something for mobile users? Segmentation helps spot this.
Step 4: Dig Into the Results—But Stay Skeptical
When a test wraps up, Intellimize will show you which version “won.” But don’t just take the top-line win rates at face value.
What to Check
- Sample size: Did enough people see each version to trust the results? If not, rerun or extend the test.
- Statistical significance: Intellimize will flag this, but understand: “statistically significant” doesn’t always mean “important.”
- Segment performance: Did one version win overall, but bomb with mobile users or a certain country? Don’t ignore those outliers.
Watch Out For
- Tiny uplifts. A 0.2% improvement is probably just noise unless you have massive traffic.
- “Winner” that’s impossible to explain. If you can’t make sense of why a variant won, don’t rush to roll it out everywhere.
- Chasing the wrong metric. Did your test improve signups but hurt purchases? Don’t get blinded by the “green numbers.”
Step 5: Take Action—But Don’t Overthink It
The best analytics are the ones you use. When a test is a clear win, ship it. If it’s a flop, learn and move on. If the results are murky, don’t force it—test something else.
How to Make Calls You Won’t Regret
- Set a minimum improvement you care about. (“I only care about changes over 2%.”)
- Prioritize experiments that affect your real goals, not just “engagement.”
- Don’t get attached to your ideas—let the data guide you, but use common sense too.
Advanced: Using Segmentation and Funnels for Deeper Insights
If you’re past the basics, Intellimize lets you slice results by user segments and see basic funnels.
- Segmentation: Break down performance by device, location, traffic source, etc. Use this to spot if a test works great for desktop but tanks on mobile.
- Funnels: Set up multi-step goals (like “view product > add to cart > purchase”) to see where users bail out after seeing a test.
But don’t get lost here. Segmentation is useful, but it’s easy to overanalyze and wind up second-guessing every minor difference.
What Works, What Doesn’t, and What to Ignore
What Works
- Focusing on a few key goals, not everything under the sun.
- Running one or two good experiments at a time, not a dozen half-baked ones.
- Actually looking at segmentation to catch hidden issues (mobile bugs, etc.).
What Usually Doesn’t
- Obsessing over micro-metrics or vanity stats.
- “Set and forget” experiments that run forever with no action.
- Assuming all results are meaningful—sometimes “better” is just random chance.
You Can Ignore
- Fancy charts unless they help you make a call.
- The urge to track every possible click or hover.
- Most “engagement” metrics that don’t tie to your business goals.
Keep It Simple, Ship, and Iterate
User behavior analytics only matter if they help you make better decisions, not just prettier dashboards. Pick a handful of real goals, set up smart experiments with Intellimize, and focus on what actually changes user outcomes. Skip the noise, don’t get lost in analysis paralysis, and remember: the best insights are the ones you act on.
Try, learn, repeat. That’s how you make analytics actually work for you—not the other way around.