Why I Chose Vercel Analytics Over Google Analytics for BetLogic
When I started building BetLogic, one of the first infrastructure decisions I had to make was how I wanted to measure product performance.
The obvious answer seemed to be Google Analytics.
It powers millions of websites and has become the default choice for many companies.
But after spending time building, deploying, and optimizing BetLogic, I found myself relying more and more on Vercel Analytics instead.
This wasn’t because Google Analytics is a bad tool.
It isn’t.
The reason was much simpler:
I cared more about product performance than marketing reports.
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The Questions I Actually Needed Answered
BetLogic is built with Next.js and runs on Vercel.
The platform includes:
- AI-powered football match previews
- Daily match insights
- Bonus and operator comparison pages
- OCR-powered Bet Slip Check
- World Cup coverage
- Email marketing infrastructure
As the project grew, the questions I wanted answered were things like:
- Which pages are actually getting used?
- Which routes are becoming slower?
- Did a deployment improve performance?
- How do users navigate the platform?
- What happens after a major release?
Those are product questions.
Not marketing questions.
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The Problem With Too Much Data
Google Analytics is incredibly powerful.
But power often comes with complexity.
For a solo founder, I found myself spending more time configuring reports than using them.
I didn’t need dozens of attribution models.
I didn’t need advanced advertising funnels.
I didn’t need endless dashboard customization.
I needed actionable information.
Fast.
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Why Vercel Analytics Felt Different
Because BetLogic is hosted on Vercel, Vercel Analytics integrated directly into my workflow.
The setup took only a few minutes.
No complicated event configuration.
No tag management.
No custom dashboards required before getting value.
Instead, I immediately had access to:
- Real visitor activity
- Traffic trends
- Core Web Vitals
- Geographic distribution
- Route performance insights
Most importantly, everything felt connected to the actual product.
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Performance Is a Feature
One lesson I’ve learned while building BetLogic is that performance isn’t a technical metric.
It’s a product feature.
Users don’t care how elegant your code is.
They care whether pages load quickly.
They care whether interactions feel smooth.
They care whether the site responds instantly.
For that reason, Core Web Vitals became one of the most important metrics I monitor.
Vercel Analytics makes those metrics easy to access and understand.
That shortens the feedback loop between:
Build → Deploy → Measure → Improve
And that loop is incredibly valuable.
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Google Search Console Remains Essential
Choosing Vercel Analytics didn’t mean abandoning Google’s ecosystem.
In fact, Google Search Console is one of the tools I use most.
Search Console answers completely different questions:
- Which pages are ranking?
- Which keywords generate impressions?
- How is indexing performing?
- Which content opportunities exist?
For SEO, Search Console is indispensable.
For product performance, Vercel Analytics became my preferred solution.
Together, they complement each other extremely well.
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Simplicity Scales Better Than Complexity
One of the biggest lessons from building BetLogic is that simplicity compounds.
Every hour spent configuring tools is an hour not spent improving the product.
Every unnecessary dashboard adds friction.
Every layer of complexity creates maintenance overhead.
As a solo founder, I try to optimize for speed of decision-making.
Not for the largest possible feature set.
That’s ultimately why Vercel Analytics won for me.
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Final Thoughts
Google Analytics remains one of the most powerful analytics platforms available.
For many businesses, it’s absolutely the right choice.
But for BetLogic, Vercel Analytics provided something I valued even more:
clarity.
It gave me the information I needed without forcing me to navigate through layers of configuration and reporting.
Sometimes the best tool isn’t the one with the most features.
It’s the one that helps you make better decisions faster.
And for BetLogic, that’s been Vercel Analytics.
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Building in public: https://www.betlogic.eu
Tech stack: Next.js, TypeScript, Vercel, PostHog, Neon, OpenAI.
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