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Post-click behavioural panel for AI-referred ecommerce traffic: session-level records across 90+ DTC brands identifying the AI source of each visit, the landing page, scroll/dwell/exit behaviour, and attributed revenue, paired with a second and rarer layer — controlled A/B experiment records showing which post-click storefront experience (copy, UX, design variant) converted AI-referred visitors better, with measured lift in conversion rate, revenue per user and GMV. Also holds a normalised source-level taxonomy of AI referral channels that most brands cannot see because the traffic is buried in referral/direct.
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