First-party data strategy

How to build your own data asset in the post-cookie world

9 min

The gradual disappearance of third-party cookies and tracking restrictions on iOS and browsers have changed the rules. Brands that relied on third-party data for segmentation and personalisation must build their own data foundation: first-party data.

First-party data — information you collect directly from your users with their consent — is more accurate, more reliable and fully controlled by your organisation. This guide explains how to build a solid strategy to collect, manage and activate it.

What is first-party data?

First-party data is information you collect directly from your users through your own channels: your website, your app, your CRM, your surveys, your points of sale. Unlike third-party data (bought from data brokers) or second-party data (shared by a partner), first-party data belongs to you and you control it.

Concrete examples include: behavioural data from your website (pages visited, products viewed), transactional data (purchases, order value), declared data (forms, stated preferences) and interaction data (emails opened, survey responses).

  • Behavioural data: navigation, clicks, time on page
  • Transactional data: purchases, revenue, frequency
  • Declared data: preferences, interests, voluntary demographics
  • Interaction data: emails, chats, calls, surveys

Why first-party data is the future

The combination of privacy regulations (GDPR, CCPA), the removal of third-party cookies in Chrome and Apple’s restrictions (ATT, ITP) makes reliance on third-party data unsustainable. Companies that fail to build their own data asset will lose segmentation, personalisation and measurement capabilities.

First-party data is not just an alternative: it is superior. It is more accurate because it comes from real interactions with your brand, more current because it is collected in real time, and more trustworthy because you have the user’s direct consent.

Effective collection methods

The key to collecting first-party data is offering value in return. Users share information when they receive something useful: exclusive content, personalised recommendations, discounts, premium features or simply a better experience.

Progressive forms — which request few data points initially and more in subsequent interactions — are far more effective than lengthy forms. Each additional field you ask for reduces the conversion rate, so prioritise the data you will actually use.

  • Registration and login: the most valuable data point, linking all interactions
  • Progressive forms: little by little, not all at once
  • Gated content: whitepapers, tools, calculators in exchange for data
  • Loyalty programmes: incentivise sharing data in return for benefits
  • Surveys and feedback: direct qualitative data from the user

CDPs: customer data platforms

A CDP (Customer Data Platform) is the tool that unifies first-party data from all sources — web, app, CRM, email, point of sale — into unique user profiles. Without a CDP, data remains fragmented in silos and loses much of its value.

The CDP lets you create segments based on the complete user behaviour and activate them across any channel: email marketing, advertising, web personalisation, customer support. Segment, Rudderstack, Tealium and Adobe CDP are popular options depending on business size and complexity.

Activating data for personalisation

The real value of first-party data materialises when you activate it for personalisation. Product recommendations based on purchase history, content adapted to declared interests, communications timed based on behaviour: all of this is possible with well-structured proprietary data.

Personalisation based on first-party data outperforms third-party-based personalisation because it reflects the real relationship between the user and your brand, not generic inferences from an externally built profile.

Key Takeaways

  • First-party data is more accurate, reliable and controlled than third-party data
  • Offer real value in exchange for data: content, features, experience
  • A CDP unifies fragmented data into complete user profiles
  • Transparent consent builds more trust and yields better data
  • Personalisation with proprietary data outperforms third-party-based approaches

Ready to build your first-party data strategy?

We help you design and implement a proprietary data strategy that meets regulations, builds trust and improves personalisation.