This analysis describes what Loom's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
The provision establishes an operational pathway for the entity to derive commercial value from user data through de-identification and aggregation processes, enabling downstream use and third-party sharing that falls outside standard personal data restrictions.
Users' personal information may be processed into de-identified datasets that Loom and its third-party partners can use and share for business analytics, service optimization, and promotional purposes. Once de-identified according to the terms' methodology, this data operates under fewer regulatory or contractual constraints than personal data.
How other platforms handle this
Mixpanel may use aggregated or de-identified data derived from customer event data for its own purposes, including improving its services, developing new features, and generating analytics insights, provided that such data cannot reasonably be used to identify individual users.
We target (and measure the performance of) ads to Members, Visitors and others both on and off our Services directly or through a variety of partners, using the following data, whether separately or combined: Data from advertising technologies on and off our Services, like web beacons, pixels, ad ta...
We may de-identify or aggregate your personal information so that it can no longer reasonably identify you, and use such de-identified or aggregated data for any purpose, including sharing with third parties for research, analytics, and marketing purposes, without restriction.
Monitoring
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"We may create aggregated, de-identified or anonymized data from the personal information we collect. We make personal information into de-identified or aggregated data by removing information that makes the data personally identifiable to you. We may use this aggregated, de-identified or anonymized data and share it with third parties for our lawful business purposes, including to analyze and improve the services and promote our business, without restriction.— Excerpt from Loom's Loom Privacy Policy
We read the privacy policies and terms of service of 38 AI platforms. Here is what they say about training, retention, arbitration, and liability.
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The provision establishes an operational pathway for the entity to derive commercial value from user data through de-identification and aggregation processes, enabling downstream use and third-party sharing that falls outside standard personal data restrictions.
Users' personal information may be processed into de-identified datasets that Loom and its third-party partners can use and share for business analytics, service optimization, and promotional purposes. Once de-identified according to the terms' methodology, this data operates under fewer regulatory or contractual constraints than personal data.
ConductAtlas has identified this type of provision across 5 platforms. See the full comparison.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Loom.