Pixalate’s Q1 2024 Google vs. Apple COPPA Risk Scorecard Report: 201,627 (47%) Likely Child-Directed Apps Request Access to Personal Information
2024年7月3日 - 6:37AM
Pixalate, the global market-leading ad fraud protection,
privacy, and compliance analytics platform, today released
the Q1 2024 Google vs. Apple COPPA (Children’s Online Privacy
Protection Act) Risk Scorecard Report to examine the state of
children’s online privacy across apps available for download in the
Google and Apple app stores.
Pixalate’s data science team analyzed 5.1 million mobile apps
available for download across the Google Play Store and Apple App
Stores in Q1 2024, and 50+ billion global open programmatic
advertising impressions from Q1 2024, to compile this research.
Pixalate found 429k+ likely child-directed apps between the
Google Play and Apple App stores (-1.6% YoY decrease in the number
of these apps). Nearly half (47%) of these likely child-directed
apps request access to personal information via permissions such as
camera, microphone, or location.
Key Findings: Pixalate’s Q1 2024 Google vs. Apple COPPA
Scorecard
- There are 429k+ likely child-directed apps across the
Google and Apple stores as of Q1 2024.
- 9% of apps in the Google Play Store are likely
child-directed vs. 5% in the Apple App Store
- 31.8K likely child-directed apps across the Google and
Apple app stores have no detected privacy policy URL
- 6.2K likely child-directed apps across the Google and
Apple app stores have no detected privacy policy
URL but request access to personal information
- 291k likely child-directed apps have no country of
registration identified
- Likely child-directed apps are 7% more likely
to transmit GPS or IP data in the ad bid stream vs.
non-child-directed apps
Access the full Q1 2024 Google vs. Apple COPPA Risk Scorecard
Report below. You will also receive the list of the top 200
most popular apps (top 100 from each store) that request access to
personal information via permissions and have an app-ads.txt file,
including whether GPS coordinates and/or IP address were shared in
the ad bid stream, according to Pixalate’s data.
Download the report.
Pixalate uses automated processing derived from a combination of
signals to determine if an app is likely to be child-directed,
including the app’s category, sub-category, content rating, and
contextual signals (specifically, child-related keywords in app’s
title or the app’s description). Pixalate also leverages manual app
review by educators on Pixalate’s Trust & Safety Advisory
Board, who make assessments of apps based on the child-directed
factors outlined in the COPPA Rule. See our full
methodology for more information.
About Pixalate
Pixalate is the market-leading fraud protection, privacy, and
compliance analytics platform for Connected TV (CTV) and Mobile
Advertising. We work 24/7 to guard your reputation and grow your
media value. Pixalate offers the only system of coordinated
solutions across display, app, video, and CTV for better detection
and elimination of ad fraud. Pixalate is an MRC-accredited service
for the detection and filtration of sophisticated invalid traffic
(SIVT) across desktop and mobile web, mobile in-app, and CTV
advertising. www.pixalate.com
Disclaimer
The content of this press release, and the Google vs. Apple
COPPA Risk Scorecard Report (the “Report”), reflect
Pixalate's opinions with respect to factors that Pixalate believes
may be useful to the digital media industry. Pixalate’s
opinions are just that, opinions, which means that they are neither
facts nor guarantees; and neither this press release nor the Report
are intended to impugn the standing or reputation of any entity,
person or app, but instead, to report findings and apparent trends
pertaining to mobile apps from the Google and Apple app
stores. It is important to note, that the mere fact that an
app appears to be directed to children (e.g., data subjects under
13 years of age, as defined by the COPPA Rule) does not mean that
any such app, or its operator, is failing to comply with the COPPA
Rule. Pixalate calculates estimated programmatic ad spend
through proprietary statistical models that incorporate
programmatic monthly active users (MAU), the average session
duration per user, the average CPM for the category of a given app,
and ad density.
Nina Talcott
Pixalate Inc.
ntalcott@pixalate.com