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What drives revenue across segments?|
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• 21% of "exchange_vertical" records were "social media"
• 31% of "marketing" user needs were "marketing research"
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Understand Related Findings
Base Column
user_need ▾
Value Column
exchange_vertical ▾
31%ofmarketing=market research
predictive power
76%
marketing count
62
research count
200
see examples ▶
3.platform
● Moderate Insight Urgency
AI Score Highlight: This column has findings in the upper ranges of relevance score.
Finding Highlight: 82% of "platform" → "chatgpt" records were "0-89" for "avg prompt word count"
Highlight Reason: Most ChatGPT conversations use brief prompts (0-89 words), suggesting users prefer short, direct questions.
More Value Findings:
• 92% of "platform" records were "chatgpt"
• 6% of "platform" records were "gemini"
• 2% of "platform" records were "grok"
AI + ML scores surface impactful insights
Base Column
platform ▾
Value Column
Select an option ▾
Base Column platform ×Value Column ×
92%ofplatform=chatgpt
select for report
surprising score
100%
chatgpt count
3023
total count
3286
see examples ▶
6%ofplatform=gemini
select for report
surprising score
78%
gemini count
181
total count
3286
see examples ▶
AI Report✏
AI Usage Patterns in YouTube-Related Conversations
This report examines key patterns from AI exchanges where YouTube was mentioned, revealing trends in platform usage, user intent, and content focus.
ChatGPT dominates as the platform of choice, with 92% of platform records attributed to it.1 This extends to 88% of list suggestion interactions2 and 83% of market research interactions on ChatGPT.3
Marketing emerges as a recurring theme. It accounts for 32% of revenue optimization records,4 31% of market research5 and content strategy records,6 dropping to 7% of list suggestion7 and 6% of context source records.8
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Insight Citations
1 92% of "platform" records were "chatgpt"
2 88% of "list suggestions" records were "chatgpt" for "platform"
3 83% of "user_need" → "market research" records were "chatgpt" for "platform"
4 32% of "revenue optimization" records were "marketing"
5 31% of "user_need" → "market research" records were "marketing"
6 31% of "content strategy" records were "marketing"
7 7% of "list suggestions" records were "marketing"
8 6% of "user_need" → "context sources" records were "marketing"
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