Compliance Checklist
4
Minutes Read
Published
July 19, 2025
Updated
July 19, 2025

GDPR Compliance Checklist for SaaS and E-commerce: Start With a Simple Spreadsheet

Learn how to make your startup GDPR compliant with a clear, step-by-step checklist for UK and EU customer data handling and privacy regulations.
Glencoyne Editorial Team
The Glencoyne Editorial Team is composed of former finance operators who have managed multi-million-dollar budgets at high-growth startups, including companies backed by Y Combinator. With experience reporting directly to founders and boards in both the UK and the US, we have led finance functions through fundraising rounds, licensing agreements, and periods of rapid scaling.

A Pragmatic GDPR Compliance Checklist for US Startups

Handling customer data is a routine part of scaling a SaaS or e-commerce business. But the moment your first customer signs up from London or Berlin, your data handling practices fall under a new set of rules. For a US-based startup, the General Data Protection Regulation (GDPR) can feel like a sudden and complex challenge. This guide provides a pragmatic checklist to help you understand how to make my startup GDPR compliant without a team of lawyers.

The key thing to understand is that GDPR applies the moment you process data from a UK or EU resident, even if your company is based elsewhere. This process focuses on building trust and operational readiness, not just checking boxes. It’s about creating a foundation for responsible data handling that supports global growth.

Understanding Core GDPR Principles for Startups

For an early-stage company, GDPR compliance is not just about avoiding fines; it is a critical step in building customer trust and preparing for future investor due diligence. Trying to become a GDPR expert overnight is unrealistic. Instead, focus on the core principles that drive the regulation.

The regulation is fundamentally about treating customer data with respect by being transparent about what you collect, why you collect it, and how you protect it. This approach is built on key ideas like data minimization, which means only collecting data you absolutely need, and purpose limitation, meaning you only use data for the specific reason you told the user you would. It also includes honoring Data Subject Rights, which are the rights of individuals to access, correct, or request the deletion of their personal data.

For SaaS and e-commerce companies, this means having a clear process for when a user asks, "What information do you have on me?" The lesson that emerges across cases we see is that compliance is a byproduct of building a trustworthy company, not just a legal hurdle to clear.

Step 1: Conduct a Pragmatic Data Audit

Answering "Where is our EU and UK customer data?" is the first and most important step in the GDPR audit process. This exercise directly addresses one of the biggest GDPR requirements for startups: documenting your data flows. It forms the foundation for everything else you will do.

Why Startups Should Maintain a Record of Processing Activities (RoPA)

Under Article 30 of GDPR, you are required to maintain a Record of Processing Activities (RoPA). While an exemption for companies with fewer than 250 employees exists, it is often misleading for tech startups. The exemption does not apply if your data processing is a regular activity, involves sensitive data, or could result in a risk to individuals’ rights. For nearly any SaaS or e-commerce business, customer data processing is a core, regular activity, making the RoPA a practical necessity from day one.

How to Build Your Data Audit Spreadsheet

What founders find actually works is to start with a simple spreadsheet, not a complex compliance platform. This document becomes your single source of truth for customer data. Create columns for the following:

  • Data Type: The specific piece of personal data (e.g., email address, IP address, shipping address).
  • Source: Where you collect the data (e.g., website signup form, checkout page).
  • Storage Location: The primary system where the data resides (e.g., AWS database, HubSpot).
  • Purpose: Why you are processing this data (e.g., transactional emails, product analytics).
  • Third-Party Sub-processor: Any vendor that also handles this data (e.g., Stripe for payments, Intercom for support).
  • Lawful Basis: Your legal justification for processing (e.g., contractual necessity to fulfill an order).
  • Retention Period: How long you plan to keep the data.

For a typical SaaS startup, this exercise reveals that customer data lives in many places: Stripe for billing, Intercom for support chats, Google Analytics for usage data, and HubSpot for marketing. This pragmatic data audit makes it possible to respond to data requests and build an accurate privacy policy.

Step 2: Write a Clear and Trustworthy Privacy Notice

Your privacy notice is often a customer's first interaction with your company's approach to data. It is a tool for building trust, not just a legal document buried in your website footer. A great privacy notice is a product feature. The challenge is meeting detailed legal requirements without writing confusing legalese that undermines user confidence.

The Most Effective Approach Is a Two-Layer Privacy Notice

The best strategy is to present your privacy information in two layers: a simple summary backed by a comprehensive policy. The first layer is a plain-English summary that is easy to read and understand. The second layer is the full legal text for those who need the details.

For example, an e-commerce site's summary might say: "We use your address to ship your order via our delivery partners. We use Stripe to process your payment, but we never see or store your full credit card number." This is clear and builds confidence. Below this summary, you link to the complete, detailed policy that covers all legal bases. This structure respects the user's time while providing full transparency. The data audit you completed in Step 1 provides the exact information needed to write this, turning a daunting legal task into a straightforward communication exercise.

Step 3: Create a Simple Data Breach Response Plan

A 'breach' isn't always a catastrophic hack involving millions of records. For a startup, it could be a simple mistake, like a misaddressed marketing email that exposes a customer list. GDPR has a clear rule for these situations that demands preparation.

Understanding the 72-Hour Notification Rule

If you experience a data breach that is likely to result in a risk to individuals' rights and freedoms, you must notify the relevant supervisory authority (like the UK's Information Commissioner's Office) within 72 hours of becoming aware of it. A reportable risk is anything that could lead to financial loss, identity theft, or reputational damage for the individual. Without a plan, that 72-hour window can cause panic and lead to critical mistakes.

Your One-Page "Fire Drill" Plan

The reality for most startups is more pragmatic: you do not need an enterprise-grade incident response team. You need a simple one-page plan stored in a shared tool like Notion or Google Docs. This plan should answer four basic questions:

  1. Who is the point person? Designate a single individual to lead the response (e.g., the CTO or CEO).
  2. How do we communicate internally? Establish a clear protocol (e.g., create a private Slack channel named incident-yyyy-mm-dd to control information flow).
  3. Who is our external counsel? Have the name and number of a privacy lawyer ready before you need it.
  4. What information must we gather? Create a checklist of details needed for the official notification, including what happened, what data was affected, the potential consequences, and the steps taken to contain it.

Practicing this workflow, even as a tabletop exercise, prepares your team to act decisively. It helps turn a potential crisis into a managed event.

Practical Takeaways for Sustainable Compliance

For a growing SaaS or e-commerce company, achieving perfect GDPR compliance from day one is an impossible standard. This isn't about achieving legal perfection; it is about demonstrating a commitment to responsible data stewardship. The process begins with three concrete actions: auditing your data, communicating your practices clearly, and planning for incidents.

Begin by creating the data audit spreadsheet. It forms the foundation for everything else, from writing your privacy notice to understanding your obligations. By taking these measured, practical steps, you build a more resilient and trustworthy business that is prepared for both customer expectations and investor scrutiny. This is how to make my startup GDPR compliant in a way that supports, rather than hinders, growth.

Frequently Asked Questions

Q: Do I need to appoint a Data Protection Officer (DPO)?A: Most early-stage startups do not need a formal DPO. The requirement generally applies to public authorities or companies whose core activities involve large-scale, systematic monitoring of individuals or processing of sensitive data. For a typical SaaS or e-commerce business, this is not an immediate requirement.

Q: What is a "lawful basis" for processing customer data?A: A lawful basis is your legal justification for handling personal data under GDPR. The most common bases for startups are "contractual necessity" (processing data to fulfill a service you sold) and "consent" (the user gives you explicit permission for a specific purpose, like marketing emails).

Q: Does GDPR apply to B2B SaaS companies?A: Yes. GDPR protects the personal data of individuals, even if they are acting in a professional capacity. The business entity itself is not protected, but the personal data of its employees (like their name, email address, and job title) falls under GDPR rules when you process it.

This content shares general information to help you think through finance topics. It isn’t accounting or tax advice and it doesn’t take your circumstances into account. Please speak to a professional adviser before acting. While we aim to be accurate, Glencoyne isn’t responsible for decisions made based on this material.

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