First-party customer data is the information your brand collects directly from shoppers through its own channels: orders, site activity, account sign-ups, surveys, support conversations and email or SMS subscriptions. It matters because you collect it with your own notice and consent records, so you decide how it is used and you are less exposed to changes in ad platform rules or marketplace policies. This guide explains what counts as first-party data, how ecommerce brands collect it, how to turn it into a working strategy, and where Amazon sellers fit, including what Amazon’s rules allow.
What Is First-Party Customer Data?
First-party customer data is information a business collects directly from its own customers and visitors, through channels it controls, such as its website, store, email list, loyalty program or support desk.
Typical examples for an ecommerce brand:
- Purchases: products, order value, order dates, discount use, returns
- Website behavior: pages viewed, products browsed, cart activity, searches
- Account information: name, email, shipping address, saved preferences
- Subscriptions: email and SMS sign-ups, with the consent record attached
- Support interactions: questions, complaints, return reasons
- Surveys and quizzes: stated needs, preferences, how they found you
- Loyalty activity: points earned, rewards redeemed, tier
What does not count as first-party data
Data bought from a broker is third-party data. Another company’s first-party data shared with you under a partnership is second-party data. Audience figures inside an ad platform’s dashboard belong to that platform. Reviews or customer information you can only see inside a marketplace are the marketplace’s data, not yours.
Having data vs owning it
A customer list can sit in a tool and still not be yours in practice. A quick test: can you export it, move it to another system, and delete one person’s record everywhere when they ask? If the answer to any of those is no, you have access, not ownership. Ownership here means control and portability. It does not mean freedom from privacy law.
Why First-Party Customer Data Matters for Ecommerce
Platforms change their rules, ad costs move, and browsers restrict tracking. Your own customer records are the part of the system you control.
- Customer understanding. Order history shows who buys what, how often, and after how long. That beats guessing from ad clicks.
- Retention. If a moisturiser lasts about 60 days, you know when to remind repeat buyers. Brands without purchase-date data cannot do this.
- Segmentation and personalization. You can send new customers a different message than your best customers, and stop showing acquisition offers to people who already bought.
- Marketing efficiency. Customer lists can be used to exclude existing buyers from acquisition campaigns and, where the ad platform’s rules and your consent wording allow, to build audiences similar to your best customers.
- Customer lifetime value. Repeat purchases raise revenue per customer. Retention is usually cheaper than winning a new buyer.
One correction to a common claim: Chrome has not removed third-party cookies. Google said in April 2025 it would keep its current approach to cookie choice (Google Privacy Sandbox). Safari and Firefox do block them by default, and privacy regulation keeps tightening. The case for first-party data rests on control, consent and resilience, not on cookies disappearing.
First-Party vs Second-Party vs Third-Party Data
First-party data is collected by you from your own customers. Second-party data is another company’s first-party data shared with you. Third-party data is collected by someone with no relationship to your customer and sold on.
| Data type | Source | Ecommerce example | Your relationship to the customer |
|---|---|---|---|
| First-party | Your own channels | Order history in your store | Direct |
| Zero-party | Customer shares it on purpose, in your channels | Quiz answer: “I have dry skin” | Direct, volunteered |
| Second-party | A partner’s first-party data, shared by agreement | A partner brand shares a consented co-marketing list | Indirect, through a partner |
| Third-party | Data brokers and aggregators | Purchased interest or demographic audience lists | None |
Second- and third-party data are not automatically bad, but consent and accuracy are harder to verify. Under UK rules, for example, consent originally given to a third party is difficult to rely on for your own email marketing (ICO).
First-Party vs Zero-Party Data
First-party data is what you observe or record about customer behavior. Zero-party data is what the customer tells you on purpose.
A purchase, a page view and an email click are first-party behavior. A quiz answer, a stated preference, or a “shopping for whom?” selection is zero-party. Many sources treat zero-party data as a subset of first-party data, since both are collected in your channels; others list it as a separate fourth type. Either framing is fine as long as you keep the distinction: observed behavior can be misread, stated preferences are direct but only as accurate as the question you asked.
Example: a customer buys a fragrance-free moisturiser (first-party). In a post-purchase survey they say they want products for sensitive skin (zero-party). Together they tell you what to recommend next.
How Ecommerce Brands Collect First-Party Data
Brands collect first-party data through purchases, website activity, email and SMS sign-ups, customer accounts, preference centers, surveys, quizzes, loyalty programs, reviews, and customer service. What matters is knowing what each source can legitimately tell you.
| Method | What it can tell you | Handling note |
|---|---|---|
| Purchases | Products, order value, frequency, reorder timing | Needed to fulfil the order; marketing use needs consent or another lawful basis depending on where the customer lives |
| Website behavior | Browsing interest, cart abandonment, search terms | Analytics and tracking cookies may need consent in the UK and EU |
| Email sign-up | Contact permission, signup source, first interest | Record when, where and what wording they agreed to |
| Customer accounts | Identity across visits and devices, saved preferences | Explain what you store and why |
| Preference center | Topics and frequency customers want | Reduces unsubscribes by letting people choose less, not none |
| Post-purchase survey | Why they bought, how they found you | One question works better than five |
| Quiz | Product fit, goals, skin or hair type, budget | Collect only what you will use; be careful with health-related answers |
| Loyalty program | Purchase frequency, reward behavior | Terms must state how data is used |
| Reviews on your own site | Product feedback, use cases, language customers use | Marketplace reviews are not yours |
| Customer service | Friction points, return reasons | Tag and categorise tickets so they become usable data |
| Product feedback and returns | Quality or sizing problems | Feeds product and listing fixes as well as marketing |
Consent and Privacy Basics Before You Collect Anything
First-party data is not automatically compliant. You still need clear notice, valid consent where required, sensible retention, and a way to honor opt-outs and deletion requests. This is general information, not legal advice; confirm with counsel for your markets.
| Channel | United States | United Kingdom |
|---|---|---|
| Marketing email | Opt-out model under CAN-SPAM: truthful headers, a postal address, and a working unsubscribe; opt-outs honored within 10 business days (FTC) | Consent, or the “soft opt-in” for existing customers of similar products with an opt-out offered at collection and in every message (ICO) |
| Marketing SMS | Generally requires prior express written consent under the TCPA; CAN-SPAM does not govern texts. Rules and case law have been shifting, so get current advice | Same PECR rules as email: consent or soft opt-in |
| Cookies and tracking | State privacy laws vary | Consent generally required for non-essential cookies |
Keep a consent log: who, when, which form, which wording. Collect only what you have a stated use for. Make sure a deletion request removes the person from your store, your email platform and any connected tools, not just one of them.
How to Build a First-Party Data Strategy (8 Steps)
A first-party data strategy is a plan for what customer information you collect, why, how you store it, and how it changes your marketing and customer experience. Steps 1 to 4 set up what you collect. Steps 5 to 8 repeat as a loop.
Step 1. Define one business objective. Pick a single outcome, such as raising repeat purchase rate on a consumable product. Repeat purchase rate = customers with 2+ orders in a period ÷ total customers in that period. Write the baseline down.
Step 2. Identify the signals that predict that outcome. For replenishment, the useful signals are product bought, size, quantity and order date. Signals unrelated to the objective are noise.
Step 3. Decide the minimum data you need. Ask for an email address first and preferences later. Every extra field lowers sign-up rates and raises privacy risk.
Step 4. Create consent-based collection points. Sign-up forms, checkout opt-ins, account creation, a post-purchase survey, a quiz. Each needs clear wording about what the customer gets and how you will use their data.
Step 5. Organize it into one customer profile. Connect your store, email or SMS platform, support desk and analytics so one person is one record. Use consistent names for fields and tags, and restrict who can export the list.
Step 6. Segment customers. Start with five or six groups: first-time buyers, repeat buyers, lapsed buyers (no order for longer than your normal reorder cycle), high-order-value buyers, and buyers by product category.
Step 7. Activate the data. Build welcome, post-purchase, replenishment and win-back flows; personalise on-site recommendations; exclude recent buyers from acquisition campaigns.
Step 8. Measure and improve. Review monthly: repeat purchase rate, days between orders, revenue per email recipient, opt-in rate, unsubscribe and complaint rates. Drop fields nobody uses.
The First-Party Data Flywheel
We use this shorthand for the loop: Collect → Organize → Segment → Activate → Measure → Improve. Collect is steps 2 to 4; Organize is step 5; Segment is step 6; Activate is step 7; Measure and Improve is step 8. Each pass tells you which signals were useful and which questions to stop asking. (This is our working model, not an industry standard.)
How Ecommerce Brands Use First-Party Data
| Use | Data it needs | What it looks like |
|---|---|---|
| Personalised recommendations | Purchase history, browsing | “Customers who bought X also bought Y” on product pages and emails |
| Email and SMS campaigns | Consent, segments, engagement | Different messages for new, repeat and lapsed buyers |
| Replenishment reminders | Product, quantity, order date | A reminder near the time the product runs out |
| Loyalty | Order frequency, points | Rewards tied to repeat purchase |
| Win-back | Last order date, past products | A targeted offer to lapsed buyers |
| Customer experience | Support history, return reasons | Fix the sizing or instruction issue behind repeated tickets |
A worked example: a skincare brand
Illustrative example, not a client case. A skincare brand sells cleanser, moisturiser and sunscreen. It collects permission-based signals: products bought, order dates, email engagement, a post-purchase survey answer on skin type.
| Data | Segment | Action | Business purpose |
|---|---|---|---|
| Bought moisturiser 50 to 60 days ago | Replenishment | Reminder email | Encourage timely repurchase |
| Bought cleanser only | Single-product buyers | Education on moisturiser and sunscreen | Increase products per customer |
| Said “sensitive skin” in survey | Sensitive skin | Fragrance-free recommendations | Improve relevance and reduce returns |
| No order in 120 days | Lapsed | Win-back message | Recover inactive customers |
| Ordered in the last 7 days | Recent buyers | Excluded from acquisition ads | Avoid wasted spend |
First-Party Data for DTC Brands
On your own store, you control the collection points, the consent wording and the customer record. That is why DTC is where first-party data work pays off fastest.
- Repeat purchases: map the natural reorder cycle of each product and build reminders around it.
- Lifecycle: treat days 0 to 30 after the first order as its own journey (delivery, usage help, review request, cross-sell).
- Owned channels: email, SMS and on-site experiences reach customers without paying for each impression.
- Lifetime value: a simple view is average order value × purchases per year × expected years as a customer; a margin view multiplies by gross margin. Track it by segment.
- Personalisation: start with product category and order history before anything more complex.
For a related discipline, see our post on conversion rate optimisation for DTC brands. Better data shows where to test.
First-Party Data for Amazon Sellers
Amazon is a marketplace, and customer relationships there sit inside Amazon’s rules. Sellers should not try to obtain, scrape or repurpose buyer information Amazon has not made available to them. Amazon’s Selling Partner API policies, for instance, restrict personal customer information to fulfilment and legal requirements. Sellers who fulfil orders themselves see shipping details for delivery, which is a fulfilment use, not a marketing list; see which sellers benefit from FBM.
What sellers can do within the rules:
- Brand Analytics. Brand Registry brands on a Professional account get aggregated dashboards, including repeat purchase behavior and customer loyalty analytics (Amazon). This is aggregated platform data, not a contact list.
- Manage Your Customer Engagement. Eligible registered brands can email customers who follow the brand and repeat customers through Amazon’s own tool. Check current eligibility in Seller Central under Brands.
- Buy with Prime. When a shopper checks out on your own site using Buy with Prime, the merchant receives shopper order information, which Amazon says can be used to build direct relationships (Amazon).
- Your own site and content. A DTC store, brand content and a newsletter with a clear opt-in give customers a reason to connect with you directly. Before using package inserts, QR codes or any off-Amazon offer, read the current Seller Central policies on customer communication and on directing buyers off Amazon.
Amazon data is Amazon’s first-party data. Yours begins where a customer chooses to give it to you in your own channels.
FAQ
What is first-party customer data? Information a business collects directly from its own customers and visitors through its own channels, such as purchases, website activity, account registrations, surveys and permission-based email or SMS subscriptions.
Why is first-party data important for ecommerce? It shows who buys what and when, supports segmentation and retention, and is collected with your own notice and consent records, so you control how it is used.
How do ecommerce companies collect first-party data? Through purchases, site behavior, email and SMS sign-ups, customer accounts, preference centers, surveys, quizzes, loyalty programs, on-site reviews and support interactions.
What is the difference between first-party and third-party data? First-party data comes from your own customers through your own channels. Third-party data is collected by outside organisations with no relationship to your customer and sold or shared.
What is zero-party data? Information a customer knowingly shares, such as a quiz answer or a stated preference. Many sources treat it as a subset of first-party data.
How do you build a first-party data strategy? Define one objective, identify the signals that predict it, decide the minimum data needed, create consent-based collection points, organize profiles, segment, activate through email or on-site experiences, then measure and repeat.
Can Amazon sellers collect first-party customer data? Not from Amazon orders beyond what Amazon provides and permits. Sellers can use Brand Analytics, Manage Your Customer Engagement (where eligible) and Buy with Prime, and build direct relationships through their own site and opt-in channels, following Amazon’s policies.
Is first-party data automatically compliant with privacy laws? No. You still need clear notice, valid consent where required, retention limits and a process for opt-outs and deletion.
Where to Start
First-party customer data works when it is collected with permission, kept in one place, and tied to a specific goal such as repeat purchases. Start with one objective, one or two collection points and three segments, then grow from what you learn.
If you sell on Amazon and want to connect that channel with a DTC site, The We One can review how your Amazon and DTC setup fit together and where the data gaps are. Get Your Amazon Account Reviewed
Frequently Answered Questions
What is first-party customer data?
Information a business collects directly from its own customers and visitors through channels it controls, such as purchases, website activity, account registrations, surveys and permission-based email or SMS subscriptions.
Why is first-party data important?
It shows who buys what and when, supports segmentation and retention, and is collected with your own notice and consent records, so you control how it is used.
How do ecommerce brands collect it?
Through purchases, website behavior, email and SMS sign-ups, customer accounts, preference centers, surveys, quizzes, loyalty programs, on-site reviews and customer service interactions.
How do you build a first-party data strategy?
Define one objective, identify the signals that predict it, decide the minimum data needed, create consent-based collection points, organize profiles, segment customers, activate the data, then measure and repeat.
First-party vs third-party data First-party data comes from your own customers through your own channels. Third-party data is collected by organisations with no relationship to your customer and sold or shared.
First-party vs zero-party data First-party data is behavior you observe or record. Zero-party data is what customers tell you on purpose, like a quiz answer. Many sources treat zero-party as a subset of first-party.
