Tree Hut Turns 16K Customer Convos Into Marketing Intelligence
Highlights
Data-driven sentiment analysis
Scrollmark sifted through 16,800+ social interactions, surfacing patterns in product sentiment that Tree Hut could use to tweak messaging and product focus.
Surfacing demand signals
The analysis flagged a surge in requests for full-size versions of their limited edition Skyberry line, showing clear demand for expanded product offerings.
Mining price perception insights
Automated tracking caught a spike in conversations about pricing differences between mini and full-size products, prompting Tree Hut to adjust their pricing strategy before it became a bigger issue.
18
Workdays Saved
16,802
Comments Analyzed
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 based on real customer feedback.
Lauren Lane
Digital Media Manager
Making sense of all that data from social engagement
Tree Hut had thousands of social media comments pouring in, each holding potential insights about customer preferences and product perception.
But without a structured way to sift through all that noise, they couldn’t extract the valuable patterns hiding within the data.
Scrollmark stepped in, deploying its social listening and sentiment analysis tools to process over 16,000 interactions across Instagram and TikTok. The system classified feedback by sentiment, product mentions, feature preferences, and purchase intent, turning raw engagement into clear, actionable insights.
Tree Hut wanted this kind of a read on what customers actually want, so that they can fine-tune products and messaging to match - improving engagement metrics and conversion rates across marketing channels.
Spotting what shoppers really want
Scrollmark’s analysis surfaced specific trends and emerging opportunities:
- Comments were categorized to identify which products and scents created the most buzz, which were the favorites, and which didn't leave an impression.
- Data revealed strong demand for full-size versions of limited edition products, especially the Skyberry scent line.
- Automated tracking flagged potential friction around mini versus full-size product pricing, allowing Tree Hut to address these concerns proactively.
What used to take weeks of manual digging now happens in no time, giving Tree Hut the speed to pivot fast and adjust marketing based on real-time feedback. Social media engagement became a direct line to actionable business intelligence.
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