AZ
alexzaremsky.com Growth Lab
● Data Studies • 50+ Sources • Gemini Deep Research

Original Research & Empirical Benchmarks

Deep market studies, algorithmic analysis, and statistical data models covering SEO, Generative Engine Optimization, and Paid Media.

📚 49 Sources Analyzed Updated: September 2026

Why the Traditional 3:1 LTV:CAC Ratio Is Broken for AI-Era Software

Continuous AI inference compute and token APIs compress software gross margins down to 50%–60%. Under these compressed margins, a nominal 3.0x Gross LTV delivers an effective Net LTV:CAC of only 1.65x—driving startups into structural cash flow insolvency.

55% AI Margin Median
1.65x Effective Net LTV
≥3.5x 2026 Net Target
Read Full Report → 4,800 words
📚 56 Sources Analyzed Updated: August 2026

How Many Backlinks Do You Really Need to Rank in 2026?

An empirical analysis of 500 competitive SERPs across SaaS, E-commerce, and Media niches. We examine the exact correlation between PageRank distribution and top-3 organic rankings.

28.4% Zero-Link Top 10 Pages
14.2 Median Referring Domains
0.73 Brand Correlation
Research in Progress 4,500 words
📚 62 Sources Analyzed Updated: July 2026

Product-Market Fit for B2B SaaS: The Quantitative Framework

Beyond Sean Ellis’s 40% test: a unified benchmark model incorporating Net Revenue Retention (NRR > 115%), Organic Search Velocity, and payback period thresholds.

>40% Ellis Score Threshold
118% Healthy NRR Median
<12 Mo Target CAC Payback
Research in Progress 5,200 words