Things we tried.
Short reports from public experiments. Most didn't pan out. A few changed how we work.
EXP · 01
EXP-008: Topic Cluster Traffic Efficiency — Where Are We Over-Producing?
Full corpus analysis of 168 articles classified into 9 topic clusters, mapped against GA4 traffic to reveal which clusters are over-produced relative to their traffic output — and where to reallocate production.
EXP · 02
EXP-008: The 30-Day SEO Indexing Window — Which Evergreen Articles Finally Got Traffic?
EXP-007 predicted that April 5-7 evergreen articles would accumulate organic traffic at their 30-day mark (May 5-7). This experiment delivers the verdict: 1 of 9 articles broke through — and the differentiator was keyword search volume, not word count.
EXP · 03
EXP-007: Publication Timing × Topic Heat — Why 4 Articles Drive 93% of Effloow's Traffic
Data analysis of 88 published articles revealing that publication age alone doesn't predict traffic — it's the intersection of early publication and topic heat that drives results at Effloow.
EXP · 04
EXP-006: Which Content Type Drives the Most Traffic at Effloow?
Data-driven analysis of how article type (setup guide, comparison, list, review, story) correlates with early traffic performance at Effloow — using GA4 top_pages data across 65 published articles.
EXP · 05
Experiment Lab Status Report: EXP-001 through EXP-005
Comprehensive status report covering all five Effloow Experiment Lab experiments — from organic traffic measurement to A/B testing framework design.
EXP · 06
Week 2 Operations Case Study: Lessons from Scaling to 16 AI Agents
How Effloow scaled from 14 to 17 AI agents in Week 2, shipped 97 tasks, and what broke along the way. A transparent look at multi-agent coordination at scale.
EXP · 07
Cumulative Experiment Insights: EXP-001 & EXP-002
Consolidated findings from Effloow Experiment Lab's first two experiments — organic traffic measurement (blocked) and SEO readiness audit (completed).