Matching stories for senders of PR content
PRFilter helps the senders of PR by matching their stories to the journalists and bloggers who are most likely to cover them. By putting control of relevance in the hands of recipients, senders of PR content benefit in two key ways:
No more worries about spending significant time trying to identify relevant recipients in database or distribution systems through selecting categories or individuals. By putting control in the hands of the recipients the release is already pre filtered.
A press release that passes a personal relevance threshold set by the journalist or blogger stands a much greater chance of being read. This in turn should lead to a greater likelihood of individual stories being covered.
Finding stories for journalists and bloggers
PRFilter (Patent Pending) builds a profile of an individual journalist or blogger’s interests via its active interest technology™ that analyses the articles they produce.
Unlike current database applications used by senders of PR it puts the journalist/blogger in control by matching press releases and then displaying them according to the relevance threshold they set.
PRFilter also learns from feedback provided by the recipient when its predictions are right or wrong. This builds a more accurate profile to use in the future.
PRFilter is designed to co-exist with current distribution channels. Individual recipients can still organise their inbox as they see fit, but PRFilter provides them with a quick and easy way to find relevant stories when they need them.