---
id: "claim-mid-funnel-revenue"
type: "claim"
source_timestamps: ["§ Where Conversational AI Sits in the Funnel"]
tags: ["revenue-metrics", "marketing-funnel", "academic-research"]
related: ["concept-mid-funnel-ai", "entity-erik-hermann", "entity-david-schweidel"]
confidence: "high"
testable: true
sources: ["geo"]
sourceVaultSlug: "hbr-seg-geo"
originDay: 3
articleStem: "hbr-ext-13-ai-upending-marketing"
sourceUrl: "https://hbr.org/2026/02/ai-is-upending-marketing-on-two-fronts"
sourceTitle: "AI Is Upending Marketing on Two Fronts"
---
# Chatbot referrals generate mid-funnel revenue per session

**Claim (confidence: high; testable):** Research from **Germany** analyzing first-party data from **over a thousand websites** demonstrated that referrals from ChatGPT generate a **revenue per session that falls exactly in the middle** between:

- **Social media referrals** — top-of-funnel, low-intent traffic
- **Traditional search engine referrals** — bottom-of-funnel, high-intent traffic

This empirically validates the theoretical positioning of conversational AI as a **mid-funnel touchpoint** — see [[concept-mid-funnel-ai]]. The research is associated with co-authors [[entity-erik-hermann]] and [[entity-david-schweidel]].

**Enrichment assessment:** The *qualitative* claim (LLM referrals behave like mid-funnel traffic, capturing exploratory intent) is consistent with industry reasoning and early analytics reports. The *quantitative* claim ("exactly in the middle") comes from a single stated study not independently visible in retrieved results, and should be treated as **preliminary** rather than a widely accepted benchmark.