Privacy Impact Assessments
Data protection by design and by default
What is A PIA?
Privacy Impact Assessment (PIAs) are plans that guide the use of personal information across any company when you are considering a new project of any kind.
PIAs require collaboration between privacy and business leaders, and they map privacy-related regulatory requirements.
To comply with GDPR, data privacy has to be considered in the initial design stage of the project, and organizations are responsible for putting in place the appropriate policies, procedures and systems to enable this 'privacy by design' approach.
What Is A DPIA?
In the event a project has a high risk to the rights and freedoms of data subjects, the GDPR requires for compliance a Data Protection Impact Assessment (DPIA).
PieEye lets you meet "privacy by design" (Article 25) GDPR requirements. The PIA and DPIA workflows make coordination across the company a snap.
Role-based templates and self-service tools are integrated into project lifecycles.
All your privacy projects across the company are in one place.
When Your eCommerce Brand Actually Needs a PIA
Not every project requires a full PIA. Your Shopify store doesn't need one just because you're updating your homepage. But certain decisions absolutely do.
You need a PIA whenever you're introducing a new way to collect, use, or store customer data. That includes installing a new analytics tool, integrating a marketing automation platform like Klaviyo, adding a third-party pixel (Meta Pixel, TikTok Pixel), or changing how you process payment information.
Here's what triggers the need: any project that affects how personal data flows through your business. If you're rolling out a loyalty program that tracks purchase history, adding exit-intent popups that capture email addresses, or connecting your CRM to your email marketing platform—you need a PIA.
The practical reason: a PIA forces you to ask the right questions upfront. What data are you actually collecting? Who has access to it? How long do you keep it? What happens if there's a breach? These aren't legal busywork—they're questions that prevent costly mistakes later.
For mid-market DTC brands, the biggest risk is moving fast without thinking through the privacy chain. You add a new integration to boost conversions, but you didn't document what data it receives or how long the vendor retains it. Six months later, a customer requests their data, and you can't account for everything. A simple PIA catches this before it becomes a problem.
Start treating PIAs like you treat security audits—as a standard checkpoint before launch, not an afterthought.
The Difference Between a PIA and a DPIA (And Why It Matters)
The existing post mentions both terms, so let's be clear about what separates them—because they're not the same thing.
A PIA is your general privacy planning document. It's the structured way you think through privacy for any new project or process. You might do a PIA for a website redesign, a new checkout flow, or integrating a new vendor.
A DPIA is a more rigorous, formal assessment required specifically when your project poses a high risk to people's rights and freedoms. Under GDPR, certain activities trigger DPIA requirements automatically: large-scale processing of sensitive data, automated decision-making that affects people legally or significantly, systematic monitoring, or processing of children's data.
For your eCommerce brand, this matters because it changes your workload. A simple PIA for adding Google Analytics to your Shopify store might take an afternoon. A DPIA for building a recommendation engine that uses purchase history to decide what products each customer sees is a much heavier lift—and it's legally required if you operate in the EU.
The confusion happens because DPIAs are more detailed PIAs. They're not two separate things; a DPIA is a deeper dive when stakes are higher.
You also need to know: if you're processing EU customer data under GDPR, and you're doing anything "high risk," a DPIA isn't optional. The regulation requires it. That includes profiling customers for targeted marketing at scale, or using automated systems to make decisions about customer eligibility for certain offers.
The practical takeaway: start with a PIA for everything. If you hit any of those high-risk triggers, upgrade to a full DPIA. Don't skip either one because they're how you prove you thought about privacy seriously—which matters if a regulator ever asks.
Involving Your Team: Who Needs to Be in the Room
A PIA only works if the right people contribute. You can't do it alone in the privacy corner.
Get your product and engineering leads in the room. They understand what data actually flows through the system. If you're building a new checkout experience or connecting Shopify to a fulfillment API, your tech team knows the architecture and where data lives.
Bring marketing in early. They're often the ones requesting new tracking capabilities, adding pixels, or integrating marketing platforms. If they understand the privacy implications from day one, you avoid the "we didn't think about GDPR" conversation after the campaign launches.
Include your compliance or legal person, but don't let them write it alone. Their job is to flag regulatory requirements and risks, not to translate them into action. The business teams have to own the decisions.
For eCommerce specifically, involve whoever manages your customer data platform, your email service provider connection, and your payment processor integration. These are the places where customer data is most exposed to third parties and where gaps in your understanding cause real problems.
Set a clear process: before any new tool or system goes live, a PIA gets documented and signed off. Not reviewed months later—done before launch. That's the "privacy by design" part that actually moves the needle.
Documenting Your PIAs for GDPR Compliance and Data Subject Requests
Once you've done a PIA, you need to keep it. Regulators expect to see them. Customers asking for their data under GDPR have a right to understand how you process it.
Document three things: what personal data is involved, who processes it (including vendors), and how long you keep it. Store this information in a way your whole team can find it.
When a customer submits a data subject access request (DSAR), your PIA documentation speeds up the response. You already know where their data lives, which systems touch it, and what you're legally required to keep or delete. Without it, you're scrambling to track down information from five different people.
For Shopify stores managing Klaviyo, Google Analytics, Meta Pixel, and payment processors simultaneously, this documentation is your lifeline. Each integration is a potential gap. The PIA maps all of them.
Update your PIAs when you change how you process data, add new integrations, or expand your customer base into new regions. An annual refresh is reasonable; ad hoc updates when something significant changes is essential.