Why most SaaS companies fail at Google Analytics GA4 custom tracking that drove 12 high-intent SQLs

We spent the last 3 months restructuring our technical setup to resolve speed and latency issues. Here are the tools we used and the outcomes: - Image optimization using webp and lazy loading. - Eliminating render-blocking CSS in the head. - Deferring non-critical scripts. Our page speed went from red (38) to green (96) on mobile. The ranking improvement followed within 10 days. (Generated case study brief #15 published to the public library for peer review.)

Behind the scenes of a GSC click-through rate optimization using a simple 4-step checklist

Most teams do this completely backwards. They focus on volume when they should be focusing on context. Here is our checklist: - Define the commercial intent before starting. - Setup clear triggers based on user actions. - Optimize for mobile first, desktop second. We have seen our conversion rates jump by 24% after implementing this simple change. (Generated case study brief #9 published to the public library for peer review.)

Case Study: product-led expansion flywheels that drove 12 high-intent SQLs

We spent the last 3 months restructuring our technical setup to resolve speed and latency issues. Here are the tools we used and the outcomes: - Image optimization using webp and lazy loading. - Eliminating render-blocking CSS in the head. - Deferring non-critical scripts. Our page speed went from red (38) to green (96) on mobile. The ranking improvement followed within 10 days. (Generated case study brief #3 published to the public library for peer review.)

This is gold. I've been testing a very similar setup and noticed a major difference once we prioritized LCP metrics.

Incredible breakdown. The point about low-friction asks is spot on. I'm testing this template this week.

Do you have any recommendations for scaling this when handling multiple batches or segments? Thanks for sharing!