People Pattern Launches 2015 Global Tour

Innovative brands convene to explore how People Pattern’s Audience Insights platform helps them gain an edge in the race to win, retain and serve customers

April 07, 2015 08:30 AM Central Daylight Time read more

By Lara Hendrickson

March 24, 2015

People Pattern Launches to Convert Public Data Into Audience Insight

Audience Insights platform uses advanced data science techniques to connect unstructured data (posts, tweets, commentary, reviews) with marketing personas and segments

AUSTIN, Texas-(BUSINESS WIRE)-People Pattern today launched its Audience Insights platform, accompanied by a full set of APIs and services, that converts public, unstructured data into meaningful audience insights. With People Pattern, brands can accurately predict and segment audiences using public data and any demographic and psychographic classifiers they choose, helping them gain an edge in the race to win, retain and serve customers.

“Brands have amassed vast social audiences, but know extraordinarily little about the demographics, interests, attitudes and opinions of audience members,” said Ken Cho, founder and CEO of People Pattern, who previously founded and led social media marketing platform Spredfast. “To move ahead, brands need to find a fast, economical way to get value out of the vast amounts of public, unstructured data that is available to them on the Internet and social networks. People Pattern provides real data science to harness and understand public expression, and connect public data to audience segments and personas that fuel marketing.”

Led by Cho and University of Texas computational linguistics professor Jason Baldridge, People Pattern is built from ground up to help brands harness public, unstructured data to quickly and economically answer fundamental marketing questions: read more

By Steve Blackmon

February 4, 2015

Welcome to the Team, Steve Blackmon!

During my tenure as Director of Data Science at W2O Group, my team assembled large datasets of public content about the brands, competitors, and customers of our clients, and built interactive applications to query and aggregate those datasets.

A universal point of feedback from internal and external customers of our applications was that they wanted to know more about their audiences than our applications could tell them. We simply did not have authoritative sources for demographic and psychographic details across all of the online properties where conversation was occurring.

Fortunately, People Pattern gave us alpha access to their APIs. As I worked to incorporate their prediction metadata into our products, I realized that what they were doing was uniquely valuable and difficult to replicate. If you are reading this post, odds are you have an idea how cool this product is and have imagined where it can go. read more