Skip to main content

Wireless Phone Advertising Has Promise

Though consumers aren't wildly enthusiastic about mobile advertising, about 20 percent of wireless phone users in a recent survey would find some form of advertising on their mobile handsets to be acceptable, reports In-Stat. Of that group, roughly half were open to having advertisers subsidize the cost of premium services such as directory assistance, ringtones and messaging, the high-tech market research firm says. Location-based ads and opt-in advertising will also find some acceptance, the survey revealed.

Wireless users were most favorable toward "opt-in" advertising. "Over a third of respondents indicated they would be willing to provide their carrier or advertisers with personal preferences in order to receive targeted advertising messages", says David Chamberlain, Senior Analyst with In-Stat. "In addition, nearly a third of respondents cited high prices as a reason they did not use premium services, making them ripe targets for advertisers who wish to subsidize the cost of picture messaging, ringtones, directory assistance and other premium services."

Popular posts from this blog

GenAI Smartphones Forecast to Drive Growth

The semiconductor and smartphone industry stands on the brink of a transformative era, driven by the rapid integration of Generative AI (GenAI) technology into mobile devices. According to the latest global market study by International Data Corporation (IDC), GenAI smartphone shipments are forecast to grow by 363.6 percent in 2024 alone, reaching 234.2 million units. This surge represents 19 percent of the overall smartphone market. As we look toward the future, the adoption of GenAI is anticipated to redefine mobile device user interaction. GenAI Smartphone Market Development GenAI smartphones are defined by their ability to run on-device generative AI models efficiently, thanks to a system-on-a-chip (SoC) featuring a neural processing unit (NPU) with a performance capability of 30 tera operations per second (TOPS) or more, using the int-8 data type. This technological advancement promises to enhance the mobile user experience by enabling more personalized and proactive GenAI tool f