IDFA (The Identifier for Advertisers)
The Identifier for Advertisers (IDFA) is a unique identifier consisting of a string of 32 digits. It is given by Apple randomly to each iOS device including mobile phones, tablets, and iPads. It is crucial for mobile attribution because it identifies, tracks, and measures users’ behavior, app usage, and interaction.
IDFA helps mobile advertisers to create and optimize personalized ad campaigns and to track the ad campaign performance.
Mobile users can reset their IDFA in order not to tracked by mobile advertisers and attribution tools.
On 22 June 2020, in Apple’s WWDC (World Wide Developer Conference), Apple announced an update about IDFA. With iOS 14, developers will be required to ask users for permission to track them and to summarize their privacy information. To read the details about the update, you can read this article.
Get Featured On Mobile Marketing Reads!
We help companies in the mobile marketing ecosystem to reach a qualified, engaged audience for branding, thought leadership,and lead-generation.
LATEST MOBILE MARKETING NEWS
406 Views
in NewsAppLovin ends Array program after reports of unauthorised app installs and privacy concerns
AppLovin has officially discontinued its Array app distribution software after mounting scrutiny over allegations that the product enabled apps to be installed on users’ devices without consent. The ad tech firm said the decision, made last quarter, was driven by “economic viability,” but the move follows months of complaints, media coverage, and regulatory interest. Array […] More
726 Views
in News, Trends & ReportsPremium media ads lift purchase intent 40% and brand trust 85%, study finds
A new joint study by The Trade Desk and PA Consulting has quantified what many marketers have long assumed: the quality of an ad’s environment can significantly influence its effectiveness. The report, titled The Value of Premium Media, surveyed more than 4,500 consumers across the U.S., U.K., and France, revealing that ads in premium media […] More
1.5k Views
in News, Trends & ReportsNew Apple studies show AI can detect defects and repair code With 98% accuracy
Apple researchers have released three new studies outlining advanced AI models designed to predict software defects, automate testing, and even repair faulty code — highlighting how artificial intelligence could reshape software engineering workflows. The research, published in October 2025 on Apple’s Machine Learning Research blog, explores different stages of the software lifecycle — from identifying […] More