Comment analysis
Read every comment on a post, and what they add up to.
The comments under a post say more than the post itself. Send SocialHz the link to a post and it returns its comments, each with its author, likes, replies and sentiment.
Where the post's comment count is known, `progress` says how far through them you are, for example 50 of about 98, and what the rest would cost. Each answer sums up the most liked comments, the most active commenters and the languages.
Where the money is
The comments under your posts and ads are sales you have not answered yet.
Who pays for it: Performance marketers running social ads, Creators and their managers, Consumer research teams.
- Answer the buyers in the comments. "Price?", "Link?", "Does it ship to…?" sit under every popular post. Fetch the comments, find the questions, and answer them before the buyer moves on.
- Stop an ad the comments hate. The sentiment split under a paid post shows a losing ad days before its numbers do, so the budget moves sooner.
- Research without a panel. Thousands of unprompted opinions about a product, a feature or a price, read in an afternoon instead of bought from a survey.
Sales from questions in the comments
- Posts checked a month: 60
- Comments per post: 300
- Comments asking to buy: 2%
- Askers who buy when answered: 10%
- Order value: $40
- Sales a month: $1,440
- Orders a month: 36
- Credits a month: 360 credits
How it works
- Send the post's link. Any post on X, YouTube, TikTok, Facebook, Instagram, Reddit or LinkedIn.
- Read the summary. Sentiment split, most liked comments, most active commenters, languages, and comments per day.
- Carry on. Send `next_cursor` back as `cursor` for the next page, until `has_more` is false or you have enough.
- 7 platforms
- Sentiment for every comment
- Progress towards the post's comment count
- 1 credit per page
Three pages of comments on a YouTube video
GET /api/v1/comments?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3Dj2yeK6W-AX0&pages=3