By all indications, data clean rooms have gone mainstream. Eighty percent of advertisers that spend more than $1 billion annually on media are expected to use data clean rooms this year, according to IAB, but interoperability and high costs are still proving to be a challenge, and no single developer of data clean room software […]
While these are still early days for OpenAI’s ChatGPT and Google’s Bard, marketers have begun to pounce. From creative production and versioning to content generation and customer service, marketers are finding innovative ways to use AI chatbots to generate more reliable results for their clients.
In this episode of Location Weekly, the Location-Based Marketing Association discusses DoorDash launching a gas rewards program to offset high prices, SES-Imagotag and UNICEF using electronic shelf labels to drive donations for Ukraine, GroundTruth and Flowcode partnering on QR codes in TV, and Google displaying nearby cars for sale in search.
The push to regulate big tech is not new. In fact, a bill similar to the American Innovation and Choice Online Act was introduced by the House of Representatives last year, only to be relegated to the legislative back burner. So far, no meaningful legislation has made its way into law, but each new effort in that direction reawakens the possibility that companies like Google will eventually need to modify their practices to remove bias towards themselves.
In this episode of Location Weekly, the Location-Based Marketing Association discusses Google getting sued over deceptive location tracking, Apple going head to head with Square by making iPhone payment terminals, SavageXFenty rolling out AR-powered FIT:MATCH tech in-store, and Placewise partnering with Bambuser to bring physical malls to customers via livestream.
I wanted to look in particular at search engines other than Google and their treatment of local search. I was intrigued by the recent announcements that Bing was making forays into product inventory as a component of local search as well as the launch of Bing Travel, a Google Travel competitor but with a very different approach to destination-based search and discovery. Similarly, recent news about the exponential growth of Brave and DuckDuckGo in our era of privacy impelled me to find out more about their handling of local results.
Figuring out what type of Local Guides are leaving reviews, and what kind of reviews they are leaving, matters for a few reasons. First, Local Guides are responsible for writing more reviews of local businesses than any other group on the internet. Second, Local Guides write reviews under circumstances that make them different from ordinary consumers: They are self-selected volunteers who get rewarded, albeit in a non-monetary fashion, for their contributions. Fairly or not, they are often thought of as biased and their contributions as less valuable, merely “written for points.” Third, the true characteristics of Local Guides are not well known, because they have not yet been subject to this type of study.