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Tree Hut turned 16,800 comments into product decisions
- HQ
- Texas
- Founded
- 2002
- Employees
- 22
- Website
- treehutshea.com
Scrollmark gave us visibility into customer sentiment that we simply couldn't achieve before. What used to take weeks of manual analysis now happens automatically, helping us make smarter product and marketing decisions.
SocialGPT
Spotting what shoppers really want
Tree Hut had thousands of comments pouring in across Instagram and TikTok, each holding a signal about what customers wanted, with no structured way to read them at scale.
Scrollmark processed over 16,000 interactions, classifying feedback by sentiment, product mention, feature preference, and purchase intent, and turned raw engagement into a read the team could act on.
- Comments were sorted to show which products and scents created the most buzz and which fell flat.
- The data revealed strong demand for full-size versions of the limited-edition Skyberry line.
- Tracking flagged friction around mini-versus-full-size pricing, so Tree Hut could address it early.
What used to take weeks of manual digging now happens in a day, turning the comment section into a direct line to product and marketing calls.
16,802
comments analyzed
18
workdays saved
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