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Benchmark Email

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

C-
AITS IA

AI Trust Summary

AI Training
YES, by default
Data Retention
Not specified in documentation
Opt-out
Only generic controls (cookies, ads)
AIPrivacy
C-
BasePrivacy
A-
  • In AI: it does not document a mechanism for contesting automated decisions, which can generate insecurity for users.
  • In Basic Privacy: it does not specify the retention period for AI data, which can create uncertainties about the management of sensitive information.

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Attention Points in AI (3)

AI criteria that require attention. Buy the Premium Analysis to see all 3 criteria.

  • Benchmark Email
  • Does not specify the retention period for AI data, which can generate uncertainties about information management.
  • Lacks a mechanism for contesting automated decisions, which can compromise user trust.
  • It is recommended to require contractual clauses that address these points.

AI data retention (prompts and responses) is not disclosed

The policy does not specify how long email campaign data and user interactions are retained, which can generate uncertainties for customers.

Ethical AI principles and anti-bias measures not documented

The absence of commitments to ethical principles in the use of AI can raise concerns about bias and discrimination in email campaigns.

AI decision contestation mechanism not available

The lack of a clear mechanism to contest automated decisions can generate insecurity for users regarding email campaigns.

Source: vendor public documents

Compliances in AI (3)

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

  • Benchmark Email
  • Documents data processing purposes, connecting data categories to specific purposes.
  • Clearly defines data controller and processor roles, ensuring accountability in management.
  • These practices facilitate due diligence and increase trust in the commercial relationship.

Policy on data use for AI training clearly stated

The policy states that email campaign data and user interactions are used to train AI models, improving the services offered.

AI training opt-out control available

Although there are opt-out options for ads, there is no specific control for users to opt out of having their data used for AI training.

Use of artificial intelligence clearly disclosed in policies

The policy clearly states that Benchmark Email uses artificial intelligence in its functionalities, providing transparency to users.

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 identifies categories of sensitive data, but does not mention additional safeguards, which can raise security concerns.

Data controller and processor roles clearly defined

The policy clearly identifies Benchmark Internet Group as the data controller, which is fundamental for accountability in managing email campaign data.

Data controller identity and contact clearly disclosed

The policy provides complete information about Benchmark Email, facilitating contact in case of questions about email campaign data.

Source: vendor public documents

Critical Alerts

  • Mecanismo de contestação de decisões de IA não disponível: A capacidade de contestar decisões é essencial para a proteção dos direitos dos usuários em marketing digital..
  • Tratamento de dados sensíveis sem salvaguardas adicionais documentadas: A proteção de dados sensíveis é crucial para a confiança dos usuários nas campanhas de email.

Conformance analysis (20)

Premium Feature
AITS Criterion 1
Non-compliant

Retention of AI prompts and responses without a defined period

Reference: ISO/IEC 42001 (8.2) + ISO/IEC 27701 (7.4.6)

AITS Criterion 2
Compliant

Data usage policy for AI training declared

Reference: ISO/IEC 42001 (8.2) + ISO/IEC 23894 + EU AI Act

AITS Criterion 3
Compliant

Opt-out control for AI training available

Reference: ISO/IEC 42001 (8.3) + ISO/IEC 29100 + EU AI Act

Source: vendor public documents

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Privacy and Security Insights for Benchmark Email Users

Transparency in Data Processing

Benchmark Email excels in its transparency regarding data processing practices, achieving an impressive OPTI Base (Privacy) Score of 86%. This high score indicates that the platform clearly documents the purposes for which user data is processed. For users, this means you can easily understand how your data is being utilized, which is crucial for compliance with regulations like GDPR and LGPD. Knowing the specific categories of data being processed helps you make informed decisions about your privacy and data sharing.

Additionally, Benchmark Email defines the roles of data controllers and processors, ensuring that users are aware of who is responsible for their data. This clarity can enhance trust and accountability, allowing users to feel more secure in their interactions with the platform. By understanding these roles, you can better navigate your rights under privacy laws and hold the appropriate parties accountable for data protection.

Clear AI Usage Policies

Another strength of Benchmark Email is its clear declaration of AI usage in its policies. This transparency is essential for users who may be concerned about how AI impacts their data. With an OPTI IA Score of 46%, while there are areas for improvement, the acknowledgment of AI's role in the platform allows users to better understand potential biases and automated decision-making processes. This knowledge empowers users to engage with the software more critically and responsibly.

Undefined Data Retention Policies

Despite its strengths, Benchmark Email has notable weaknesses that users should be aware of. One significant concern is the undefined retention period for AI prompts and responses. This lack of clarity can lead to uncertainty about how long sensitive information may be stored, which is particularly concerning under regulations like GDPR that require data minimization and limited retention periods. Users should be proactive in managing their data by regularly reviewing and deleting any unnecessary information within their accounts to mitigate potential risks.

Absence of Contestation Mechanisms

Another critical weakness is the absence of a mechanism for contesting automated decisions made by AI. This gap can create insecurity for users who may be affected by these decisions without a clear avenue for recourse. It is advisable for users to keep track of any automated decisions made by the platform and document their concerns. If you feel that an automated decision negatively impacts your account or marketing efforts, reach out to Benchmark Email's support team for clarification or to express your concerns.

Lack of Safeguards for Sensitive Data

Furthermore, Benchmark Email does not document additional safeguards for the processing of sensitive data. This is a significant risk, especially for users handling personal data that falls under stricter regulations. To protect yourself, consider implementing additional security measures, such as encrypting sensitive information before uploading it to the platform. Regularly audit your data to ensure that you are not inadvertently sharing sensitive information without adequate protection.

Practical Steps for Enhanced Privacy

To enhance your privacy while using Benchmark Email, take the following practical steps: First, review your account settings to ensure that you are aware of what data is being collected and how it is used. Enable any privacy features available within the platform, such as data access requests or deletion options. Additionally, familiarize yourself with your rights under GDPR and LGPD, and consider consulting with a legal expert if you have specific concerns about your data handling practices. By being proactive and informed, you can navigate the platform's strengths and weaknesses more effectively.

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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