Instagram comments from the four most recent Call Her Daddy guest episodes were collected, filtered for signal, and run through AI-powered theme classification and sentiment analysis. This dashboard surfaces what audiences actually think — broken down by guest, theme, and intent — to support smarter booking and episode prep decisions.
4 recent guests analyzed
6,000+ comments analyzed
12,000+ raw comments collected
Powered by Claude AI
Across the Four Most Recent CHD Guests
How the four episodes compare in overall audience sentiment, and what the AI recommends the team act on.
Guest Sentiment Leaderboard
Ranked by net sentiment score (% positive minus % negative). The bar below each score shows the full positive / neutral / negative breakdown. Raw comment volume reflects total comments collected before filtering.
Sentiment Breakdown — Normalized %
Normalized to 100% so guests with higher comment volume aren't artificially disadvantaged. Shows how sentiment distributes across the audience for each episode.
Positive
Neutral
Negative
Audience Activation
Share of comments containing an explicit signal of listener action — planning to watch, sharing with friends, subscribing, or saving for later. Higher % means the episode moved people off the comments and into action.
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Powered by Claude — uses all comment analysis as context
Guest Deep Dive
Select a guest to explore the comment data for that episode. Each view is based on up to 300 sampled comments filtered for signal.
Comment ThemesRanked by number of comments per theme
What Drove Positivity
Top themes found in positive comments for this episode, with the estimated share of positive comments touching each theme. Bars are relative to the highest-scoring theme.
What Drove Negativity
Top themes in negative comments. A short or empty list here is a good sign — it means the audience had little to criticize.
What People Took Away
Six standout comments selected by AI as the most specific and revealing of what resonated. Prefer these over generic praise when evaluating episode impact.