Privacy Policy Generator for SaaS
SaaS products process user accounts, payment data, usage analytics, API authentication tokens, and often customer business data. Your policy must disclose every data type, every sub-processor (Stripe, AWS, Vercel, Intercom), API data collection surfaces, and every user right under GDPR and CCPA. Our AI generates a policy built specifically around your SaaS data flows, authentication providers, and infrastructure stack.
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What your SaaS privacy policy must cover
Sub-Processor Disclosure
GDPR Art. 28 requires you to list every third-party processor that touches user data — from your payment provider to your error tracker, from your CDN to your authentication provider. Our AI auto-generates the full sub-processor list based on your declared stack (Vercel, AWS, GCP, Stripe, Auth0, Clerk, Supabase, Sentry, PostHog, Mixpanel, Amplitude).
API & Authentication Data
SaaS products expose APIs that collect request headers, IP addresses, authentication tokens (JWT, session cookies), and API keys. Authentication providers (NextAuth.js, Clerk, Auth0, Supabase Auth) process credentials and OAuth data. Your policy must disclose API data collection and every auth provider as a sub-processor.
Data Processing Agreements
B2B SaaS products that process customer data on behalf of clients must offer a DPA. Your privacy policy is the foundation — it establishes you as a data processor and defines your obligations to client controllers. Enterprise customers require DPAs before signing — your policy demonstrates GDPR readiness.
User Rights Clauses
GDPR grants EU users rights to access, delete, port, and restrict their data. CCPA grants California users the right to opt out of data sale and limit use of sensitive personal information. Your SaaS policy must document exactly how users can exercise each right through your dashboard or support channels.
Retention & Deletion Windows
SaaS products must define how long you retain user data after account cancellation — typically 30-90 days for operational data, longer for legal/compliance records. GDPR requires deletion within a reasonable period. Hardcode your retention windows by data category — vague language creates compliance gaps.
Frequently Asked Questions
Do SaaS companies need a Data Processing Agreement (DPA)?↓
Yes, if you process personal data on behalf of business customers (B2B SaaS). GDPR Art. 28 requires a DPA between you (processor) and your customer (controller). Your privacy policy is separate and governs end-user data. Both are required for enterprise sales. Our generator produces GDPR-compliant DPA language for your client contracts.
What sub-processors must I disclose in my SaaS privacy policy?↓
Disclose every third party that receives user data: cloud providers (AWS, GCP, Azure, Vercel), payment processors (Stripe, Braintree, PayPal), analytics (Mixpanel, Amplitude, PostHog, GA4), email services (SendGrid, Postmark, Resend), CRMs (HubSpot, Salesforce), error trackers (Sentry, Datadog), and authentication providers (Auth0, Clerk, Supabase Auth, NextAuth.js). GDPR requires a 30-day notice period before adding new sub-processors.
How does API data collection affect my SaaS privacy policy?↓
API endpoints collect HTTP request data including IP addresses, user agents, authentication tokens, and request bodies. Server-side components (Next.js API routes, Express, NestJS) process this data. Your policy must disclose API data collection, what metadata is logged, and how authentication tokens are stored and secured. This is often overlooked in generic templates.
Is my SaaS privacy policy GDPR compliant?↓
A GDPR-compliant SaaS policy must state the lawful basis for each processing activity, list all data categories, identify the controller and any DPO, disclose all sub-processors, document retention periods, explain cross-border transfer mechanisms (US-EU SCCs, UK adequacy), and specify how users exercise their rights. Our AI checks all 12 GDPR disclosure requirements and flags missing elements.
Do I need separate privacy policies for different products?↓
If products share the same legal entity and data infrastructure, one policy covering all products is acceptable — provided it identifies each product and its data practices. If products have materially different data flows (e.g., one processes health data, another doesn't), separate policies reduce confusion and compliance risk. Our generator supports both unified and product-specific approaches.