CONVINDEX has developed a proprietary methodology and an algorithm to score online video content engagement on three dimensions: Exposure, Action, and Social Amplification.
Attributes related to content views and source channels
Attributes related to post-viewing activity initiated by the viewer
Attributes related to viewer’s willingness to share
Our scoring algorithm is based on the intelligence that video content engagement levels are driven by statistical relationships between prioritized and weighted values for key attributes.
The algorithm powers a live online dashboard, which tracks and displays both individual and aggregate video engagement scores. It also incorporates views into cross-referencing engagement scores with other related dimensions for incremental insights, such as:
• How do engagement scores relate to content referral sources?
• Do engagement scores vary by viewing platforms or operating systems?
• What is the correlation between scores and video “shelf-life”?
• What are the correlations and statistically predictable models that we can draw from by comparing viewer demographics or behavioral attributes?
“We spent 10+ years understanding the shifts in online video content creation and consumption. We are now immersed in quantifying and benchmarking it”
Like many other successful ventures, ours has a simple but powerful value proposition, it addresses an industry-wide gap, and it provides solid foundation for further evolution. Our thesis and approach to engagement measurement is a product of rigorous thinking and multiple perspectives from different expert minds.
Marketing professional focused on the strategic aspects of digital business and innovation.
Serial entrepreneur and technical innovator with nearly 15 years of experience in technical strategy and application development.
Digital Marketing professional with an entrepreneurial spirit, and a proven track record of building businesses.
Data Science (phD)
A background in performing statistical research, analyzing and interpreting data, leading major epidemiology initiatives, and promoting public health internationally.
An experienced technology executive with focus on data infrastructure and application development.
Experience in integrating business intelligence, data sources and computer science to algorithm structures.