Market Feedback

BeyondPOLLS goes beyond the tools that are available today and moves online feedback to the next level.  The purpose of the app/widget is to provide a white-label, hosted software application that is easily embedded within any existing web site to provide a holistic set of feedback.  The patented system is built around 1) keyword ratings, 2) open-end comments, and 3) overall product/site ratings.  By combining these three dimensions, the widget allows users to contribute and share their opinions about existing recommendations, products or other site content.  This more detailed feedback, including rated keywords and phrases, can help support the site marketing through SEO management, article content and social network postings beyond what today’s offerings provide. Dale Allman, CEO  Creative Data Networks and Analytics, LLC, a U.S. marketing and research company

“I like the widget a lot – very easy to use to collect a pulse that is open ended. One piece of feedback which I’m sure you noticed – the example on your blog for Motrin, where you capture frequency and rating …Great example of how the rating system can be misinterpreted. I wasn’t sure if I was rating the term (ex. “Misguided”) or rating the Motrin campaign itself. You can see the disparity between frequency and some of the stronger ratings (ex. “offensive”). With some clarification on what you are rating with the stars, it will be clear.” Adam Cohen, Partner, Rosetta

“BeyondPOLLS is an interesting offering in the social marketing space because it blends a ratings mindset with a sentiment mining opportunity. Several companies are building sentiment search tools, which is different than BeyondPOLLS, but which shows a view of how businesses are seeking to understand intentions, sentiments, and more across multiple web spaces. “  Chris Brogan

“As a marketing veteran with a decade in national politics, gauging sentiment and tapping into the emotion of crowds is at the core of every consumer brand, public policy, and new business idea. The ability to collect and visualize key emotion, priorities, and sentiment of a target audience/community, especially the way BeyondPOLLS approaches the task is a necessity as social networks gain adoption.” Albert Maruggi, President of Provident Partners

"LOVE, love, love the BeyondPOLLS.com - great idea!!!! Love the rating tool!!!” Zena Weist, Manager, Interactive Brand Strategy at Embarq

“This looks cool …it enables people who can’t express themselves in the written word so well or who just can’t take the time to craft a paragraph or two. But for the client/company, it lets them measure/analyze their incoming comments in a new way – which heretofore has been difficult at best, or even impossible …short of lots of hard work and subjective evaluation.” Graeme Thickens, Industry Specialist, Social Media Strategist

Patent Overview

 

The system of using rated keywords and phrases to describe a subject was invented in 1999 and granted a patent by the USPTO in November 2006 and again in February 2010 (U.S. patent #7664747). A partner with Morgan Finnegan verified the enforceability of the first patent.

 

To request a link to the patent documents use our "Contact" tab and specify "patent document" in the message.

 

A highlevel recap of the key claims granted for this patent follow:

A system for creating and maintaining information utilizing user opinions in a database of subjects, available to a population of users, comprising:

 

  • Describing a database subject using a plurality of natural language terms, each of such plurality of natural-language terms having relevance to the subject according to an involved subset of such population of users;

 

  • Rating the degree of relevance of each of such plurality of natural-language terms to such database subject according to each of such involved subset of such population of users;

 

  • Associating, in such database, such respective natural-language terms and respective degrees of relevance with each such database subject;

 

  • Computing, for such involved subset of such population of users, in such database, an overall degree of relevance of each of such plurality of natural-language terms to such database subject;

 

  • Presenting to a particular user information, about a particular such database subject and such associated respective relevant natural language terms with such respective overall degrees of relevance;

 

  • Collecting, from such particular user, such particular user's opinions about respective degrees of relevance to such particular database subject of such respective presented natural-language terms;

 

  • Adding such particular user to such involved subset of such population of users and adding such particular user's opinions to such database;

 

  • Updating, in association with such particular database subject, in such database, such overall degree of relevance of each of such plurality of natural-language terms associated with such particular database subject; and

 

  • Presenting to a particular user information about a particular such database subject and such associated relevant natural-language terms with such updated respective overall degrees of relevance.