Automatic tagging for customers and orders in one app!
🔬 We found that TagRobot: Customers + Orders protects user data with good infrastructure security in place, but it seems that community signals are thin or insufficient; in addition,
✅ Our security analysis didn't find any cloud or infrastructure risks, which means that TagRobot: Customers + Orders should be safe to use and relatively protected against cyber-attacks and data breaches caused by hackers.
⚠️ The user-base and community analysis recognized low engagement and limited trust in the app marketplace and social networks.
You can find the analyzed privacy-policy here:
We have analyzed 3 public endpoints related to this app
and found 0 security risks in total.
Cloud and infrastructure security is an essential factor in determining your data is safe with an app or integration. Generally, modern web apps and integrations should not have any critical security issues.
We've analyzed 9 marketplace engagement signals,
and 25 social network signals.
User engagement signals in the app marketplaces and social networks indicate user-base satisfaction and community health, which helps us determine whether the app is legit and trustworthy.
Note: The actual engagement numbers might be higher as some marketplaces do not share the number of installs, reviews, and rankings.
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Please note, that we only rank certain ranking subjects including encryption, data storage, data sharing, security measures being taken, transparency and users’ control, number of installs, reviews, followers, etc. Thus, ranking results may change as additional ranking subjects are added, or existing ranking subjects are omitted.
General Disclaimer: Given that the service is based on a statistical heuristics, you may find the ranking inaccurate, unfavorable, unhelpful, not compatible with your requirements, or objectionable. Protective.ai, and its officers, directors, employees and affiliates (“Staff”), disclaim any and all liability for any matter relating to the ranking subjects’ opinions and recommendations, including their accuracy, or their failure to properly disclose a position in, affiliation with, or nexus they may have to the respective apps they analyze or report on.