The startup develops audience analytics tools that utilize proprietary technology to collect data from smartwatches and set-top boxes, enabling continuous tracking of consumer viewing habits. This technology provides precise insights into audience behavior for OTT and linear TV, allowing clients to make data-driven decisions regarding content, programming, and advertising strategies.
Funding
$2.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Entertainment companies often lack comprehensive, device-agnostic data on audience viewing habits across various streaming platforms and linear TV. This makes it difficult to understand content performance, audience behavior, and the effectiveness of programming and advertising strategies.
Solution
PlumResearch provides audience measurement and analytics for the entertainment industry, offering insights into viewing behavior across linear TV, SVOD, AVOD, and FAST platforms. Their Showlabs dashboards track over 21 million panelists in 75+ markets, delivering data and behavioral metrics for major streaming services. By monitoring viewership across devices, PlumResearch helps clients understand what audiences are watching, when they are watching, and how they engage with content. The platform provides metrics such as unique viewers, total hours watched, average time spent, share of viewing, completion rate, and binge-watching statistics.
Target Audience
The primary target audience includes film studios, television networks, talent agencies, and broadcasters seeking data-driven insights into audience behavior and content performance.
Features
- Device-agnostic tracking of viewership data across linear TV, SVOD, AVOD, and FAST platforms
- Showlabs dashboards providing data and behavioral metrics for major streaming services
- Measurement of over 21 million panelists in 75+ markets worldwide
- Key metrics including unique viewers, total hours watched, average time spent, and share of viewing
- Advanced analytics for completion rate, binge-watching, and reactivation points
- Extensive historical data for trend analysis
- Enhanced metadata for content categorization and analysis