70% -- share of ai traffic logged as direct for AI referral traffic (web analytics attribution) (2026)

The share of ai traffic logged as direct for AI referral traffic (web analytics attribution) is 70% as of 2026 according to Kevin Indig (Growth Memo). This figure is the primary benchmark in the Lighthouse dataset for this segment. Individual results vary by region, channel mix, and audience quality.

A strong share of ai traffic logged as direct benchmark for AI referral traffic (web analytics attribution) is 70%, using the current serving value as of 2026. This is one serving-eligible observation, not a distribution median; top-quartile comparisons require the underlying distribution. Vertical, audience size, and campaign type all shift what 'good' means.

The published share of ai traffic logged as direct serving value for AI referral traffic (web analytics attribution) is 70% as of 2026. Individual sectors and audiences may differ substantially; this single observation does not establish an aggregate mean. Quartile comparisons require the underlying distribution, which is not implied by this record.

Primary drivers of share of ai traffic logged as direct variation for AI referral traffic (web analytics attribution) include audience segmentation, timing, and channel selection. Methodology documents campaign factors, but this serving record does not quantify the effect of personalization. The current serving value is 70% as of 2026.

For a digital marketer, the published share of ai traffic logged as direct serving value is 70%; it is an evidence-grade reference, not a personalized target as of 2026. Any performance goal should account for channel mix and audience. Review the methodology before operational decisions; a gap from this serving value does not by itself indicate a structural issue.