Why Do Your A/B Tests Keep Failing to Reach Significance? Three Datasets from 2026
Most 'not significant' A/B results are design flaws, not weak creative. 2026 data: low-power tests replicate at only ~28.4%; ~74.2% show no difference.
Sep 17, 2026
Most 'not significant' A/B results are design flaws, not weak creative. 2026 data: low-power tests replicate at only ~28.4%; ~74.2% show no difference.
Public and private domains are halves of one funnel: 150-300 yuan per acquired user vs 20-50 yuan per repeat touch. The chain breaks at four interfaces.
Customer acquisition cost keeps climbing for reasons beyond traffic price: shrinking bid pools, lost signals, longer cycles, weak pages, and uncounted tooling.
A practical five-step path for enterprise AI transformation: strategic alignment, current-state assessment, a fast POC, scaled rollout and ongoing optimization.
A vertical e-commerce platform grew organic traffic 200% in 6 months, cut organic CAC 62%, raised ROI 168%. Full diagnosis, strategy, and execution data.
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