"Does Living Content actually improve engagement?" "Did that rewrite help rankings?" Without experiments, these are just opinions. You make changes, hope they work, and never close the loop.
Set a hypothesis. Link it to a blog post. LiquiChart collects weekly snapshots from GSC and GA4, calculates statistical significance, and delivers a verdict: confirmed, refuted, inconclusive, or partially confirmed.
Statistical significance: 94%
An experiment tracking real search and engagement data.
Hypothesis: Articles with Living Content blocks will show 15%+ improvement in average session duration compared to static articles.
Statistical significance: 87%
Write what you expect to happen. Link it to a blog post. Choose GSC and GA4 metrics to track.
Weekly snapshots from GSC and GA4. No manual exports. No spreadsheets.
The system calculates whether results are meaningful before delivering a verdict.
Confirmed findings auto-generate Living Content recommendations. Apply what worked to similar articles.
GSC Integration
Track impressions, clicks, CTR, and average position for specific pages or queries over the experiment period.
GA4 Integration
Measure sessions, bounce rate, time on page, and conversions. Compare before and after content changes.
Weekly Snapshots
Automatic data collection during the experiment run. No manual export needed.
Statistical Significance
The system calculates whether results are statistically significant before delivering a verdict.
Four Verdict Types
Confirmed, refuted, inconclusive, or partially confirmed. Each verdict includes the evidence that supports it.
Verdict → Recommendation
Confirmed findings automatically generate Living Content recommendations for the linked article and similar posts.
Experiments test claims, generate verdicts, and feed recommendations back into content.
Test hypotheses with real search and engagement data. Automatic verdicts. Automatic recommendations.