About

About SaasAnalytics.io

I Test Analytics Tools So You Don’t Waste Budget on the Wrong Ones

Honest, hands-on reviews and implementation guides for SaaS marketing teams navigating the complex world of attribution, tracking, and measurement.

Lukas Reinhardt - Marketing Analytics Specialist

50+

Tools tested hands-on

10+

Years in analytics

15+

SaaS companies helped

100%

Independent, no sponsors

My Story

From Broken Dashboards to Clear Insights

I started my career in marketing operations at a B2B SaaS startup where we were spending $40K/month on paid ads — and had no idea which channels actually drove revenue. Our “analytics” was a spreadsheet updated weekly by hand.

That experience — watching real money get wasted because of bad measurement — is what pulled me into analytics. Over the next decade, I implemented tracking and attribution systems for companies ranging from early-stage startups to established SaaS platforms with 8-figure ad budgets.

Along the way, I tested every tool that promised to solve the measurement problem. Most overpromised. Some were genuinely great. The gap between vendor marketing and actual product experience became the reason I started writing.

SaasAnalytics.io exists because I kept answering the same questions from marketing teams: “Which attribution tool should we use? Is GA4 enough? How do we track conversions after iOS 14?” Instead of repeating myself in Slack threads, I started documenting everything here.

Areas of Expertise

■ Marketing attribution (multi-touch, MMM)
■ GA4 setup, migration & custom reporting
■ Server-side tracking & privacy compliance
■ Conversion tracking (Meta CAPI, Google Ads)
■ UTM strategy & campaign architecture
■ Analytics tool selection & integration
■ Data warehouse setup (BigQuery, Snowflake)
■ Tag management (GTM, Segment, Tealium)

Tools I Work With Daily

■ Google Analytics 4, Mixpanel, Amplitude
■ HockeyStack, Dreamdata, Ruler Analytics
■ Google Tag Manager, Segment
■ BigQuery, Looker Studio
■ Stape, JENTIS (server-side GTM)
■ Meta CAPI, Google Ads conversion API

How I Review Tools

My Review Process

Every tool on this site goes through a structured evaluation. No shortcuts.

01

Hands-On Setup

I sign up, configure the tool on a real site, connect data sources, and set up tracking. I experience the onboarding exactly like you would.

02

Real-World Testing

I run real traffic through the tool, compare data accuracy against known benchmarks, test integrations, and evaluate reporting with actual campaign data.

03

Pricing Deep-Dive

I map out the real cost — including hidden fees, overage charges, required add-ons, and annual vs. monthly pricing differences vendors bury in fine print.

04

Honest Verdict

I write who should use it, who should skip it, and what alternatives to consider. If a tool isn’t worth the money, I say so — even if it’s popular.

What I Cover

Content Focus Areas

Attribution Models

Multi-touch, first-touch, last-touch, algorithmic — I break down when each model makes sense, how to implement them, and which tools support them. No theoretical fluff, just what works in practice.

Read attribution guides →

Analytics Tools

Honest reviews of GA4, Mixpanel, Amplitude, HockeyStack, Dreamdata, and dozens more. I compare features, pricing, accuracy, and real-world usability so you can pick the right platform.

Read tool reviews →

Tracking Guides

UTM parameters, server-side tracking, Meta CAPI, Google Ads conversion setup — step-by-step tutorials for privacy-first measurement in a post-cookie world.

Read tracking guides →

My Content Promise

What you can always expect from SaasAnalytics.io

Hands-On Testing

I personally set up and use every tool before writing about it. No rewording of feature lists from vendor websites.

Real Pricing

Full cost breakdowns including hidden fees, overages, and the gap between “starting at” and what you actually pay.

Honest Cons

Every review includes real drawbacks and who shouldn’t use the tool. No positive-only reviews to stay on a vendor’s good side.

Zero Sponsors

No sponsored posts, no pay-for-placement, no affiliate bias. Recommendations based on what actually works, not who pays.

Have a Question About Your Analytics Setup?

Whether you’re choosing an attribution tool, debugging your tracking, or planning a migration — I’m happy to help point you in the right direction.