Products.
Capture Imagination. Connect with True Demand.In today’s content-saturated world, audiences aren’t captive—they’re choosing. Streaming platforms and studios must earn attention by speaking to what emotionally resonates with viewers.
Nanocrowd® equips you to do exactly that— with deep audience insight and the emotional language to capture hearts and drive revenue.
With precision targeting based on real audience feedback, our clients have seen revenue and admissions jump—sometimes tripled.
COMP ANALYSIS
Emotion > AlgorithmHow we do it:
- We analyze viewer emotion to get to the heart of the issue, for example: thrilling, heart-warming, hilarious, haunting
- Build a nuanced Reaction Profile based on audience descriptions
- Map relationships between your comps to spotlight high-potential titles
- Identify emotional themes and keywords viewers associate with clusters
- Filter out weaker comps, refine messaging, and optimize your strategy
Whether you're in development or already in release, we help you:
- Find your core audience
- Surface the themes that matter
- Craft marketing language that connects instantly
- Maximize admissions and revenue with smarter audience targeting
Rediscover Your Audience.
Let Nanocrowd show you what they’ve been saying all along.

Advanced Features
- Analysis and summary of viewer reactions
- Identification of Nanogenre® themes
- Performance analysis of comp titles
- Comp similarity analysis
- Identification of alternate comps
- Title clustering by distance
- ViewerVoiceTM
DATA LICENSING
VIEWERVOICE™ REACTION PROFILE
All of our analytics are based on the viewer's voice. We've developed an algorithm to determine which words are the most important to distinguish one title from another. These Reaction Words, like gripping and adorable, are full of passion and meaning – capturing your viewers' reactions and interests. Reaction Words also expose fundamental relationships between titles. We use these words and relationships to build our ViewerVoice Reaction Dataset.
USING THE VIEWERVOICE REACTION DATASET
CLUSTER MAPPING
Based on our analysis of viewer reactions, we map the three-dimensional distance of titles to each other and cluster them into groups.
For our comp analysis product, we use these groups to calculate expected revenue and discover the words audiences use to describe each group of similar titles.
Three-dimensional map showing distance of titles to each other within their group cluster, based on ViewerVoice reaction analysis.
