Redefine your understanding of TV subgenres
Introducing Genre DNA™ - TV subgenres redefined by groundbreaking AI analysis to reveal the true drivers of viewership.
Development
By understanding audience preferences and thematic elements, Genre DNA™ can guide content development strategies, ensuring that new projects align with viewership demands.
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ABOUT US
Vault delivers AI-powered consumer insights for leading streamers, TV networks and film studios. Using actual behavioral data Vault AI helps entertainment clients to make better content decisions across production, development and marketing. No surveys or focus groups required.
Genre DNA™
See the insights that others can't
Genre DNA™ goes beyond traditional TV genre classifications by analyzing over 1,000 scripted and unscripted series on both linear and SVOD platforms from the last 5 years. Each Vault Genre DNA™ report offers a precise analysis of your chosen TV subgenre, uncovering its unique drivers of viewership.
Marketing
Understand the unique traits and preferences of audiences within specific genres, allowing marketing teams to tailor campaigns to resonate with the intended viewership.
Research & Insights
Research teams can analyze how genres perform across different platforms (e.g., streaming services vs linear), helping them tailor their stakeholder’s distribution and marketing strategies.
Contact us to get started with Genre DNA™
Methodology
How does Vault deliver the Genre DNA™ analysis?
Who is Genre DNA™ for?
FAQ
What Subgenres are available for analysis?
You can see the full list here.
What's the deliverable?
You’ll get a PDF report full of data analysis that pinpoints the key drivers, attributes and characters of high performing series in your chosen subgenre. Armed with this knowledge, you will confidently identify what ingredients to leverage (and avoid) on your way to delivering a hit series.
What's the investment?
Starting at $25,000 USD per subgenre.
Packages available for multiple subgenres.
What makes this analysis unique?
Vault's vast database of analysis on over 60,000 titles allows our machine learning technology to identify the patterns and ingredients for a succesful scripted TV series in many subgenres.
How do I get started with Genre DNA™?
Contact us today.
Fuel your imagination with Vault's predictive content intelligence
Our predictive insights and tools empower leading steamers, networks and studios to make confident data-driven decisions.
Genre DNA™
Creatives
Ensure that creative endeavors align with market trends and preferences. By staying informed about genre dynamics through Genre DNA™, creatives can create content that is not only artistically compelling but also resonates with current audience interests.
Data Collection & Codification
We analyzed and codified the landscape of scripted TV on linear and SVOD over the last 5 years, inputting over 1,000 scripted TV shows into the Vault database.
AI SubGenre Segmentation
Using our proprietary technology, our machine learning models segment the scripted TV landscape, and created a library unique subgenres that exist within TV today. You can also create your own subgenre.
Pattern & Machine Learning Modeling
Using the shows that were classified to each subgenre, Vault uses machine learning models to find patterns between story, audience, attributes, emotions, and characters to understand what drives viewership for the subgenre today.
Actionable Insights Delivered
The data and insights are then curated by Vault’s entertainment research team into an efficient report (PDF) full of actionable insights for your whole organization.
Genre DNA™ empowers TV entertainment professionals with data-driven insights, aiding in strategic decision-making for development, creative, and marketing.
What sort of questions do Genre DNA™ reports answer?
- Who is the audience for this TV subgenre - and how does it compare to similar subgenres?
- What are the most common story elements shared across the TV subgenre?
- What are the story elements in the TV subgenre that have the highest impact on ratings?
- What are the most common emotions expressed in the content - and what are the most common emotions expressed by audiences towards the content?
- What types of characters are most common and impactful in the TV subgenre?
- What are the key recommendations for creating a high-performing series in the subgenre?
Each question will be answered for SVOD and Linear Insights
