

Freshmarketer
Based exclusively on public evidence • 20 criteria (Privacy + AI)
Last review: 21 Feb 2026

AI Trust Summary
- •In AI: it does not document ethical AI principles, which can generate distrust regarding the responsible use of data.
- •In Basic Privacy: it does not specify data retention periods, which can cause uncertainty for customers.
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Attention Points in AI (2)
AI criteria that require attention. Buy the Premium Analysis to see all 2 criteria.
- •Freshmarketer
- •Retains AI prompts and responses indefinitely, impacting transparency.
- •Does not mention ethical AI principles, which can affect customer trust.
- •It is advisable to require contractual clauses that specify retention periods and ethical AI principles.
Ethical AI principles and anti-bias measures not documented
There is no mention of ethical AI principles, which can affect customer trust regarding the responsible use of data.
AI data retention (prompts and responses) is not disclosed
The policy mentions interaction data retention, but does not specify periods for AI inputs/outputs, impacting transparency.
Source: vendor public documents
Compliances in AI (3)
AI criteria the company meets. Buy the Premium Analysis to see all 3 criteria.
- •Freshmarketer
- •Clearly documents data processing purposes, connecting data categories to specific uses.
- •Clearly identifies the data controller's identity, facilitating contact for privacy matters.
- •These practices ensure greater transparency and security for due diligence.
Policy on data use for AI training clearly stated
The policy declares the use of personal data to train algorithms, demonstrating transparency in AI practices.
AI training opt-out control available
The policy mentions privacy controls, but does not offer a specific opt-out for AI training, limiting user options.
Use of artificial intelligence clearly disclosed in policies
The document explicitly states the use of machine learning technologies, ensuring transparency in the functionalities offered.
Source: vendor public documents
Highlights in Privacy (3)
Most relevant criteria for this category. Buy the Premium Analysis to see all 3 criteria.
Data retention period not stated in the policy
The policy mentions data retention, but does not specify concrete periods, which can cause uncertainty for customers.
Data controller and processor roles clearly defined
The policy clearly identifies Freshworks as the data controller, which is essential for data governance.
Data controller identity and contact clearly disclosed
The policy provides clear information about Freshworks' identity, facilitating contact for privacy matters.
Source: vendor public documents
Critical Alerts
- •Princípios de IA ética e medidas anti-viés não documentados: A ética no uso de IA é crucial para garantir a confiança e a aceitação dos usuários nas campanhas de marketing..
- •Período de retenção de dados não informado na política: A falta de informações sobre retenção de dados pode impactar a confiança dos clientes na gestão de suas informações.
Conformance analysis (20)
Retention of AI prompts and responses without a defined period
Reference: ISO/IEC 42001 (8.2) + ISO/IEC 27701 (7.4.6)
Ethical AI principles and anti-bias measures not documented
Reference: ISO/IEC 42001 (6.1) + ISO/IEC TR 24028 + EU AI Act (Art. 9)
Roles of data controller and processor clearly defined
Reference: ISO/IEC 27701 (7.3)
Source: vendor public documents
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Maximize Your Marketing Automation with Freshmarketer: Privacy Insights and Guidance
Understanding Freshmarketer's Privacy Strengths
Freshmarketer stands out in the marketing automation landscape with a commendable OPTI Base (Privacy) Score of 92%. This high score reflects its commitment to transparency and user privacy. One of the key strengths is the clear listing of data processing purposes categorized by data type. This means that users can easily understand how their data will be used, which is crucial for compliance with regulations like GDPR and LGPD. By knowing the specific purposes for which their data is processed, users can make informed decisions about their engagement with the platform.
Additionally, Freshmarketer provides clear information about the identity and contact details of the data controller. This transparency fosters trust, as users know who is responsible for their data and how to reach out with concerns or inquiries. Furthermore, the platform documents its international data transfer practices, ensuring users are aware of where their data may be processed. This is particularly important for organizations operating under strict data protection laws, as it helps them assess compliance risks associated with cross-border data flows.
Data Processing Transparency
The clarity in data processing purposes not only enhances user trust but also aligns with best practices in data governance. Users should take advantage of this transparency by reviewing the listed purposes and ensuring they align with their own data protection policies. If any discrepancies arise, users can directly contact the data controller for clarification, ensuring their compliance with GDPR and LGPD requirements. This proactive approach can help mitigate potential risks associated with data misuse.
Identifying Freshmarketer's Privacy Weaknesses
Despite its strengths, Freshmarketer has notable weaknesses that users should be aware of, particularly concerning its OPTI IA Score of 58%. A significant concern is the lack of defined retention periods for AI prompts and responses. This absence of clarity can lead to uncertainty about how long user data is stored and when it might be deleted. Users should be cautious, as prolonged data retention can increase exposure to data breaches and compliance risks.
Moreover, Freshmarketer does not document ethical AI principles or anti-bias measures. This lack of transparency can raise concerns about the responsible use of AI technologies, especially in marketing automation where data-driven decisions are critical. Users should consider the implications of these weaknesses and how they might affect their own data governance strategies.
Mitigating Risks Associated with Data Retention
To address the risks associated with undefined data retention periods, users should actively seek clarification from Freshmarketer regarding their data retention policies. It is advisable to inquire about the specific duration for which AI-generated data is stored and request updates on any changes to these policies. Additionally, users can implement internal data retention policies that align with their organizational standards, ensuring that they do not retain data longer than necessary.
Practical Guidance for Using Freshmarketer
When using Freshmarketer, users should take proactive steps to enhance their privacy and security posture. First, review the platform's privacy settings to ensure that data sharing preferences align with your organization's policies. Users should also consider disabling features that may retain unnecessary data, such as AI prompts, if they do not see a clear benefit in their marketing strategies.
Furthermore, users should stay informed about updates to Freshmarketer's privacy policies and practices. Regularly checking for changes can help users adapt their strategies and maintain compliance with evolving data protection regulations like GDPR and LGPD. Engaging with the platform's support team for any questions or concerns can also provide additional clarity on privacy-related issues.
Exploring Alternatives and Additional Precautions
If the weaknesses identified in Freshmarketer's privacy practices raise significant concerns, users may want to explore alternative marketing automation platforms that offer stronger privacy guarantees. Look for solutions that provide detailed documentation on data retention periods, ethical AI practices, and robust data protection measures. Additionally, consider integrating privacy-enhancing tools or services that can help monitor and manage data usage across your marketing efforts.
In conclusion, while Freshmarketer offers strong privacy strengths, users must remain vigilant about its weaknesses. By understanding the implications of these factors and taking proactive steps, users can effectively leverage Freshmarketer's capabilities while safeguarding their data privacy rights.
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Source: vendor public documents
Analyzed Sources
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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





