Leverage
Contextual
Hindsight uses unique article identifiers to create contextual engagement experiences within content to increase revenue and pageviews. Thousands of attributes such as location, topics, organizations, and semantic analysis are used to predict recommendations that customers will engage with the most.
In-Paragraph Engagement
Inside a paragraph, when reader experience is held in view, engagement is a cinch. Hindsight’s In-Paragraph product is completely native/content-first and benefits from internal article recommendations, which results in a stronger user experience and increases the value of your content.
In-Text Search
A full-text search is a comprehensive search method that compares every word of the search request against every word within the document or database. Google search operators are special characters and commands called “advanced operators” that extend the capabilities of regular text searches. Hindsight provides the best In Text Search services to its clients for better search engine and user understanding.
Music Streaming Platform
Allow readers to listen to and engage with the artists and songs they are reading content about
Publisher Benefits
Increased Revenue
All our products pay the publisher on a CPM structure
Increased Recirculation
Average 8% increase in page views/session
Increased Time-On-Site
Average 9% increase in dwell time
Native Format
Our units leverage content based recommendations and engagement actions to create a more native experience
Easy Setup
Just one line of JS code and you’ll start seeing results!
Contextual Analytics
Since our product is driven by contextual keywords, we provide you data to see which keywords are driving the most engagement. This data can be used for audience insights and SEO!
Partners We Work With
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