Adobe Analytics: Referral Traffic to U.S. Retail Websites from Generative AI Sources Jumps 1,200 Percent

Source: Adobe Blog, March 2025 Original link: https://blog.adobe.com/en/publish/2025/03/17/adobe-analytics-traffic-to-us-retail-websites-from-generative-ai-sources-jumps-1200-percent

Key points

• Adobe Analytics data shows that traffic to U.S. retail websites referred from generative AI sources jumped 1,200 percent between July 2024 and February 2025.
• The measurement is based on aggregate, anonymized data from Adobe Analytics, which processes a very large share of online transactions from the top 100 U.S. internet retailers.
• Although this channel is still a small fraction of overall traffic compared with paid search, email, and social media, its growth rate marks it as an emerging acquisition channel.
• Traffic arriving from generative AI sources tends to show higher engagement: longer time on site, improving pages per visit, and lower bounce rates compared with other traffic sources.
• Adobe attributes the trend to consumers increasingly using AI chatbots and assistants for product research, gift ideas, comparisons, and deal discovery.
• The report advises retail brands to make their content discoverable to AI assistants and to track AI-driven referrals as a distinct channel in their analytics.

Notes on this archived post

This forum entry on zhichai.net archives the Adobe announcement. Much of the surrounding commentary in the original post (sections on retrieval-augmented generation, ranking pipelines, evaluation metrics such as nDCG/MRR, and engineering trade-offs) is generic template material about search and recommendation systems and does not appear in the original Adobe report. Readers should refer to the original Adobe blog post for the precise figures and methodology.