Editorial Infrastructure
Grapeshot understands the words on web pages and can establish the best set of words and phrases that profile any one page.
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Explicit words that your users type in, to find information, are an important clue to their individual needs and interests.
Everyone knows the Home Page is an important page on a website, but less people realise that "Search", which helps your users to find relevant information, is the number two.
Rather than leak the insight of what your users are looking for to third parties who power your search function, or pay expensive prices for your own search software, consider the Grapeshot search system. Sovereign Search gives you proprietary control over your audience's interests, and a fast relevant search that empowers your users, and invites each of them to make many more relevant page views on your website.
Grapeshot provides automated ways to link one related story to another. This helps editors reduce the effort and inprecision of linking pages manually.
Editorial selection is what users receive from any publisher - the consideration of what is important to highlight, and helpful to recommend.
Normally fresh articles can only link backwards, as journalists cannot link to stories of the future. Grapeshot calculates related-ness back over the archive, but also forwards to documents written after the article was written - as algorithms establish the overlap of relatedness every time an article is viewed. It means users get an enhanced user experience where recommendations are up-to-date and accurate.
Grapeshot can also cluster stories into sub-groups of interest, providing a set of "different" stories or angles on the same subject matter. Consider using Grapeshot to make your editorial recommendations most relevant to each user, whilst keeping editorial costs and overheads extremely low.
Results show that Grapeshot can significantly increase user engagement by adding another 6-19% Page Views per User, as related articles make a publisher's site more "sticky".
Grapeshot unpicks the words that users habitually read on a website, and can use past reading behaviour to help recommend new articles to read.
The personal website has been a nirvana of website design ever since the internet grew up in the 1990's. Yet few websites today can technically offer a personal selection of headlines to read.
Grapeshot unpicks the words that users habitually read on a website, and makes personal recommendations which are tuned to a single user's habits. The Grapeshot software evaluates words to help sort habits from serendipity. Grapeshot can also draw on broader sets of data, for example the popular or "wisdom of the crowds" behaviour, to show each user a personal set of recommendations alongside a list of those articles everyone else is also reading.
Automatic and personal ways to improve user engagement help drive up your Pages Views Per User, and impact your Average Revenue Per User (ARPU) too.
Grapeshot provides automated ways to link one related story to another. This helps editors reduce the effort and inprecision of linking pages manually.
Editorial selection is what users receive from any publisher - the consideration of what is important to highlight, and helpful to recommend.
Normally fresh articles can only link backwards, as journalists cannot link to stories of the future. Grapeshot calculates related-ness back over the archive, but also forwards to documents written after the article was written - as algorithms establish the overlap of relatedness every time an article is viewed. It means users get an enhanced user experience where recommendations are up-to-date and accurate.
Grapeshot can also cluster stories into sub-groups of interest, providing a set of "different" stories or angles on the same subject matter. Consider using Grapeshot to make your editorial recommendations most relevant to each user, whilst keeping editorial costs and overheads extremely low.
Results show that Grapeshot can significantly increase user engagement by adding another 6-19% Page Views per User, as related articles make a publisher's site more "sticky".
Grapeshot can understand trends in breaking news. Working with IBM over three years, Grapeshot developed a joint R&D project to plot the velocity and trajectory of a news story.
Most news stories seem to report on news that has already broken. News wires help journalists disseminate the story across a range of digital websites and formats: but who are the leaders who first create the story? Where should a press relations executive look to find the influencers, whom others follow? Where should a news broadcaster focus its expensive news gathering resources? Which stories are accelerating and gaining velocity from a standing start?
Grapeshot, with help from a UK Government R&D grant, pioneered the SnapShot visualisation which plots Leaders, Laggards, Eccentrics and Followers into four quadrants, where News Novelty intersects with News effect. Grapeshot uses the analysis of keywords in stories to identify similar content, and uses a time series to understand which stories create the consequences of subsequently reported news.
SnapShot is an execellent example of Grapeshot's ability to power visual methods to tell the story of news.