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Loops

Based exclusively on public evidence • 20 criteria (Privacy + AI)
Last review: 26 Feb 2026

B+
AITS IA
Privacy Rating by TrustThis — Verified Seal

AI Trust Summary

AI Training
Training policy documented
Data Retention
Period: 12 meses
Opt-out
Only generic controls (cookies, ads)
AIPrivacy
B+
BasePrivacy
B+
  • In AI: it does not document ethical AI principles, which may impact user trust regarding data use.
  • In Core Privacy: it mentions the legal basis of contract performance, ensuring that data processing complies with regulations.

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Attention Points in AI (1)

AI criteria that require attention. Buy the Premium Analysis to see all 1 criteria.

  • Loops
  • Does not document ethical AI principles, which can generate distrust among users.
  • The policy does not mention additional safeguards for sensitive data, despite stating that it does not collect it.
  • It is recommended to require contractual clauses that address these aspects to mitigate risks.

Ethical AI principles and anti-bias measures not documented

There is no mention of ethical AI principles, which can negatively impact user trust regarding the use of email campaign data.

Source: vendor public documents

Compliances in AI (3)

AI criteria the company meets. Buy the Premium Analysis to see all 3 criteria.

  • Loops
  • The policy connects data categories with specific purposes, ensuring transparency.
  • It identifies categories of recipients and their purposes, ensuring accountability in processing.
  • These practices facilitate due diligence and strengthen trust in the company.

Use of artificial intelligence clearly disclosed in policies

The policy explicitly states the use of machine learning for product functionalities, ensuring transparency in the processing of email campaign data.

Policy on data use for AI training clearly stated

The policy mentions the use of aggregated data for machine learning, ensuring that email campaign data is used responsibly.

AI data retention policy clearly documented

The policy clearly states the retention period for email campaign data, ensuring that users have control over their information.

Source: vendor public documents

Highlights in Privacy (3)

Most relevant criteria for this category. Buy the Premium Analysis to see all 3 criteria.

Sensitive data processing without additional documented safeguards

The policy states that it does not collect sensitive personal data, but the lack of safeguards can raise concerns about the security of email campaign data.

Processing purposes clearly listed by data category

The policy connects email campaign data and user interactions with specific purposes, ensuring transparency and compliance.

Personal data recipients clearly identified in the policy

The policy identifies categories of recipients and their purposes, ensuring that email campaign data is processed responsibly.

Source: vendor public documents

Critical Alerts

  • Tratamento de dados sensíveis sem salvaguardas adicionais documentadas: Importante para a segurança e conformidade no tratamento de dados de campanhas de email..
  • Aspecto de privacidade não mencionado na documentação do fornecedor: Ausência de informação pública

Conformance analysis (20)

Premium Feature
AITS Criterion 12
Compliant

Purposes of email campaign data processing clearly listed

Reference: ISO/IEC 27701 (7.3)

AITS Criterion 14
Compliant

Recipients of email campaign data clearly identified

Reference: ISO/IEC 27701 (7.3)

AITS Criterion 15
Compliant

Transparency regarding international transfer of email campaign data

Reference: ISO/IEC 27701 (7.3)

Source: vendor public documents

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Maximize Your Email Marketing with Loops: Privacy Insights and Guidance

Transparency in Data Processing

Loops stands out in the email marketing landscape with a commendable AITS Privacy Score of 75%. One of its key strengths is the clear documentation of data processing purposes for email campaigns. This means that as a user, you can easily understand how your data will be used, which is essential for compliance with regulations like GDPR and LGPD. Knowing the specific purposes helps you make informed decisions about your data sharing, enhancing your trust in the platform.

Additionally, Loops identifies the recipients of the data collected during email campaigns. This transparency ensures that you are aware of who has access to your information, which is crucial for maintaining data security and privacy. Users should take advantage of this feature by regularly reviewing the recipient list and ensuring that only necessary parties have access to their data.

Legal Compliance and Data Processing

Another strength of Loops is its adherence to legal frameworks, particularly regarding the legal basis for data processing. The platform applies the legal basis of contract execution to essential data, which aligns with the requirements of GDPR and ISO 27701. This compliance not only protects your rights as a user but also reduces the risk of potential legal issues down the line. Users should familiarize themselves with these legal bases to ensure they are fully aware of their rights and the protections in place.

Lack of Ethical AI Documentation

Despite its strengths, Loops has notable weaknesses that users should be aware of. One significant concern is the lack of documentation regarding ethical AI principles and anti-bias measures. With an AITS AI Score of 71%, this absence can impact user trust, especially for those concerned about how their data is processed and utilized by AI systems. Users should be cautious and consider the implications of using a platform that does not prioritize ethical AI practices. Engaging with Loops' support team to inquire about future plans for ethical AI documentation can be a proactive step.

Insufficient Safeguards for Sensitive Data

Another weakness is the treatment of sensitive data without additional documented safeguards. This raises concerns about how well your sensitive information is protected, especially in light of stringent regulations like GDPR. Users should take precautions by reviewing their data input and ensuring that they are not sharing unnecessary sensitive information through the platform. Additionally, consider implementing extra security measures, such as data encryption or anonymization, to further protect your data.

Addressing Privacy Gaps

The documentation provided by Loops does not adequately address privacy aspects, which could leave users vulnerable to data misuse. This gap highlights the importance of being proactive in your data management practices. Users should regularly audit their data settings within the platform and ensure that they are only sharing information that is absolutely necessary for their email marketing efforts. Furthermore, consider utilizing third-party privacy tools to enhance your data protection strategies.

Practical Steps for Enhanced Privacy

To mitigate the risks associated with Loops' weaknesses, users should take several practical steps. First, regularly check your account settings to ensure that data sharing preferences align with your privacy expectations. Enable features that enhance data security, such as two-factor authentication, to protect your account from unauthorized access. Additionally, consider using alternative email marketing platforms that prioritize ethical AI practices and provide comprehensive privacy documentation if you find Loops' weaknesses concerning. By being proactive and informed, you can maximize the benefits of Loops while minimizing potential risks.

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Source: vendor public documents

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Scope & Limitations

TrustThis/AITS assessments are based exclusively on publicly available information, duly cited with date and URL, following the AITS methodology (privacy & AI transparency).

The content is indicative in nature, intended for screening and comparison, not replacing internal audits.

TrustThis/AITS does not perform invasive tests, does not access vendor technology environments and does not process customer personal data. Conclusions reflect only the vendor's public communication at the date of collection.

Source: vendor public documents