Tag Archives: Sheds

ChatGPT Analysis Sheds New Light Into People’s Behavior, Intent

ChatGPT Analysis Sheds New Light Into People’s Behavior, Intent by Laurie Sullivan  @lauriesullivan, July 14, 2023 How people craft prompts to get more information from ChatGPT ranges from simple message lengths to long and elaborate descriptions using action words and nouns, according to an analysis of 5,054 conversations analyzed by Semrush. The company collected publicly shared … Continue reading ChatGPT Analysis Sheds New Light Into People’s Behavior, Intent

LiveRamp sheds location data business

The company said it was no longer focused on data aggregation and was concentrating on being a ‘neutral and open marketplace’ Greg Sterling on January 8, 2020 In 2016 LiveRamp paid roughly $140 million for two companies, Arbor and Circulate, that helped the company improve “people based marketing” and deterministic identity resolution. Last quarter, according … Continue reading LiveRamp sheds location data business

Businessweek Investigation Sheds Light On Giant Market For Fake Web Traffic

A first-hand look at the ecosystem swirling around bot traffic. Ginny Marvin on September 24, 2015 Just ahead of Advertising Week in New York, Bloomberg Businessweek’s cover story takes a first-hand look at the market for fake digital traffic across the Web. It’s a juicy story worth reading, with details about why the advertiser’s dream of being … Continue reading Businessweek Investigation Sheds Light On Giant Market For Fake Web Traffic

User-Centric Analytics Sheds Light On Search: Uses Real People, Not Inferences

by Joe Mandese @mp_joemandese, (September 17, 2015), 9:29 AM At a time when major search engines are reducing the amount of data available to advertisers and agencies implementing paid and/or organic search marketing strategies, a unique source is stepping forward to fill the void. More significantly, that source — user-centric analytics firm Jumpshot — is … Continue reading User-Centric Analytics Sheds Light On Search: Uses Real People, Not Inferences