How to Analyze Customer Journey Data in Vidu and Improve Conversion Rates

If you want to actually move your conversion rates, you need more than pretty dashboards. You need to spot the exact moments where customers bail, get confused, or decide to buy. This guide is for marketers, product owners, and anyone who wants to cut through the fluff and use Vidu to get real answers from customer journey data—so you can stop guessing and actually improve conversions.


1. Get Your Tracking Set Up Right—Don’t Skip This

Before you even think about analysis, make sure you’re capturing the right data. Vidu can only show you what it sees.

  • Tag all major steps: Sign-ups, logins, product views, add-to-cart, checkout start, and completed purchases. Don’t just track “Page Viewed.” Be specific.
  • Use consistent naming: “Signup” vs. “Sign-up” vs. “Register” will make your reports a mess. Pick a system and stick with it.
  • Test your setup: Run through the journey yourself. Make sure every step fires in Vidu—check live data, not just “it should be working.”

Pro tip: Don’t get sucked into tracking every click or scroll. You’ll drown in noise. Focus on key actions and drop-offs.


2. Map Out Your Customer Journey—Keep It Simple

You don’t need a wall-sized flowchart. Just sketch out what you think the main steps are. For most products, it’s something like:

  1. Land on homepage or ad
  2. Browse product or info
  3. Add to cart or sign up
  4. Enter payment info
  5. Complete purchase or activation

In Vidu, you’ll use these steps to build your journey funnels. If your flow is more complex (e.g., SaaS with onboarding), map the main milestones, not every tiny action.


3. Build Your First Funnel in Vidu

Here’s where Vidu actually earns its keep. Head to the funnel analysis section and set up a journey using the steps you mapped.

  • Order matters: Make sure steps match the real-world sequence.
  • Time windows: Set a reasonable window (e.g., 7 days) unless your sales cycle is months long.
  • Segments: Start broad (all users), then get specific (paid traffic, mobile users) once you see where things break down.

Watch for: Big drop-offs between steps, especially early on (e.g., people view product but never add to cart).


4. Dig Into Drop-Offs—Don’t Assume, Investigate

Found a step where lots of people bail? Don’t just guess why.

  • Session recordings: Vidu (if enabled) can show you actual user sessions. Watch what confused users do.
  • Look at device/browser splits: Sometimes mobile users get stuck on a broken form or weird layout.
  • Check timing: Are people spending 10 seconds or 10 minutes before bouncing? Fast exits often mean something’s broken or unclear.

Ignore: Vanity metrics like “average session time” unless you have context. Long sessions can mean confusion, not engagement.


5. Segment Ruthlessly—Generic Insights Are Useless

The average user doesn’t exist. Use Vidu’s segmentation to break down your funnel:

  • New vs. returning users
  • Traffic source (ads, organic, social)
  • Device and browser
  • Geography (if relevant to your product)

You'll quickly see, for example, that paid traffic drops off way earlier, or that mobile users never make it to checkout.

Pro tip: Don’t slice so thin you end up with tiny segments—look for patterns, not statistical noise.


6. Run Cohort Analyses—See If You’re Actually Improving

Funnels are snapshots. Cohorts show trends over time. In Vidu, set up cohorts like:

  • Users who signed up last month vs. this month
  • Users who came from a new campaign
  • People who completed onboarding vs. those who didn’t

If your changes are working, newer cohorts should convert better or drop off less. If not, time to rethink.


7. Test Changes—But Don’t Fall for Shiny Objects

Once you’ve found a real problem (not just a hunch), make a targeted change.

  • Fix copy or design where users get stuck
  • Simplify forms or remove unnecessary steps
  • Clarify pricing or next steps

Then, use Vidu to compare before-and-after funnels. Don’t trust your gut alone—watch the numbers.

What doesn’t work: Random “growth hacks” or copying what worked for someone else’s product. Your users and flow are unique.


8. Skip the Noise—What To Ignore in Customer Journey Data

Not everything Vidu tracks is helpful. You can safely ignore:

  • Pageviews on “About Us” and other low-intent pages
  • Pointless micro-interactions (e.g., mouse hovers)
  • Overly complex attribution models (unless you’re a giant brand)

Focus on what moves the needle: steps that lead to conversion or where you lose potential customers.


9. Make It a Habit—Set Up Regular Reviews

Customer journeys aren’t “set and forget.” Set a reminder to check key funnels every couple of weeks (or more often if you’re making changes). Look for:

  • New or unexpected drop-offs
  • Changes after launches or campaigns
  • Shifts in user behavior (e.g., more mobile traffic)

Don’t let your data get dusty. The more you check, the quicker you’ll spot—and fix—problems.


10. Quick Wins and Honest Pitfalls

Quick Wins

  • Shorten your checkout or signup forms.
  • Reword confusing buttons or labels.
  • Fix obvious bugs on mobile.
  • Send a simple follow-up email to drop-offs.

Pitfalls

  • Chasing “best practices” instead of your own data.
  • Getting obsessed with tiny details for tiny user groups.
  • Forgetting to retest after site or product updates.

The Bottom Line: Keep It Simple, Iterate Often

Don’t let customer journey analysis become a never-ending research project. The best teams use tools like Vidu to find real problems, make small fixes, and keep improving. Stick to key steps, focus on real drop-offs, and ignore the noise.

Check your funnels. Fix what’s broken. Repeat. That’s how you actually move your conversion rate—no hype, no “growth hack” required.