Ask a D2C founder how many third-party tools their store sends customer data to, and the honest answer is usually a shrug followed by a guess that is too low. Ask the same question after someone actually lists every connected tool, and the number nearly always comes as a surprise. This gap between what founders think is happening and what is actually happening is the first thing anyone doing DPDP Act work runs into, and it is worth understanding before anything else.
Why the guess is always too low
A Shopify store does not feel like a data-sharing operation from the inside. It feels like a single dashboard: orders come in, products go out, the bank balance moves. But every one of the tools a founder bolted on over two or three years to grow the business, often one app install at a time, usually without anyone writing down what data it touches, is a separate destination for customer information.
Think about a typical setup. A Meta Pixel sits on every page, sending browsing and purchase signals back to Meta the moment someone visits. An email tool like Klaviyo holds every customer's name, email, and order history to run abandoned cart flows. A WhatsApp business solution provider has the phone number and order status of anyone who gets a delivery update on WhatsApp. A 3PL has names, addresses, and phone numbers for every shipment, because it has to, to deliver the parcel. A reviews app like Judge.me has emails for everyone it asks to leave a review. A payment gateway has transaction details for every order. GST invoicing tooling has names and addresses for every invoice raised.
None of this is unusual. None of it is even avoidable for a store trying to run a normal D2C operation. The point is not that any single tool is doing something wrong. The point is that each one is a separate place where a customer's personal data now lives, outside the merchant's own servers, and the founder who set up each tool individually, over time, rarely steps back and counts them all at once.
Why this matters under the DPDP Act
India's Digital Personal Data Protection Act, 2023 treats a store as a "data fiduciary" the moment it collects personal data, and asks it to know where that data goes. Not estimate, not assume. Know. A privacy notice that is accurate has to name the actual processors a store uses and the actual purposes each one serves, not a generic template line about "third parties" that nobody checked against reality.
This is where the gap between guess and reality becomes a practical problem rather than a trivia question. A founder who says "we probably share data with two or three tools" when the real number is six or seven has a notice that understates reality, a consent flow that does not cover everything it should, and no accurate record of what happens to a shopper's data if that shopper ever asks.
What a proper scan actually looks like
A processor scan, done properly, is not a guess and not a checklist filled in from memory. It looks at what is actually installed and actually firing on the live storefront: the pixels, the apps, the embedded scripts, the checkout integrations, and traces each one back to the company receiving the data and the reason it is there. For most stores, this takes minutes rather than hours, and the output is usually longer than the founder expected.
Where this fits for a store doing the work
The honest starting point for DPDP readiness is not a legal document. It is an accurate list of where customer data actually goes, because every other obligation, the notice, the consent banner, the rights process, is only as good as that list. Consent Jet's first function is exactly this: it finds every third-party tool a store's data actually reaches, so the notice and consent flow built on top of it describe the real setup rather than a guess.