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First-Party DataFirst-party data strategy

Get your First-Party Data tracking to 95%+ accuracy guaranteed in writing.

Without first-party identity stitching, you'll watch your custom audiences shrink, your lookalikes get worse, and your CPMs climb. We build your identity resolution layer, plug it into a light CDP (Segment / RudderStack / Hightouch / custom), and activate it into Meta, Google, TikTok, Klaviyo so reach actually grows post-cookie.

Free30 minutesNo obligation

First-Party Data · what breaks

Why now — First-Party Data

  1. 01

    3rd-party cookies dying

    Chrome's deprecation back on the roadmap.

  2. 02

    iOS already cookie-less

    Safari ITP / iOS ATT.

  3. 03

    Audience reach shrinking

    Without first-party identity, reach drops.

First-Party Data · the fix

Outcomes — First-Party Data

  • Identity graph

    Email/phone/cookie/device stitched

  • Activation live

    Meta CA, Google CM, TikTok CA, Klaviyo segments

  • Cookieless-ready measurement

    Server-side baseline

First-Party Data · architecture

What first-party data means in practice, past the buzzword

First-party data is not a product you buy. It is a set of decisions about what you collect, where it lives, and what you are allowed to do with it.

  1. 1

    One identity spine

    A single stable identifier per customer — hashed email, or your own internal ID — that every system references. Without it you have several partial views of the same person and no way to join them.

  2. 2

    Collection at the moments you already have permission

    Checkout, account creation, newsletter signup, support contact. You do not need new collection points; you need the ones you have to write to the same place.

  3. 3

    Your own store as the system of record

    The customer record lives in infrastructure you control — your database, your warehouse — not scattered across the ad platforms that hold copies.

  4. 4

    Server-side distribution outward

    Hashed identifiers and conversion events go out through a server container that decides exactly what each destination receives. Enhanced Conversions, CAPI match quality and customer match all draw on this.

  5. 5

    Consent state stored with the record, not alongside it

    What each customer agreed to, and when, held against their record so that a later export cannot accidentally include someone who opted out.

  6. 6

    Retention and deletion actually implemented

    A deletion request has to propagate to every destination that received a copy. This is the part most strategies skip, and it is the part regulators ask about.

First-Party Data · events

What to collect, and what each field earns you — First-Party Data

Collect what has a use. Fields nobody consumes are risk without return.

Hashed emailCheckout, account, newsletterEnhanced Conversions, CAPI match quality, customer match
Hashed phoneCheckout, call trackingMatch quality lift on Meta and Google, call attribution
First and last name, city, state, zipCheckout addressMeaningful EMQ lift on Meta specifically
Internal customer IDYour own databaseexternal_id on Meta; joins every system to one person
Click IDs at first touchLanding URLAny later offline conversion upload; without this nothing else works
Order and lifetime valueBackendValue-based bidding and predicted LTV audiences
Consent state and timestampCMPLegal defensibility and safe suppression lists
Deletion and opt-out flagsPrivacy requestsPropagated suppression across every destination

First-Party Data · diagnose

Assessing what you actually have — First-Party Data

  1. 01

    Find out whether you can produce one row per customer

    If assembling a customer's full history takes a week of exports, you do not yet have a first-party data asset.

  2. 02

    Check whether click IDs are being captured and stored

    This is the cheapest, highest-leverage thing on the list and it is missing more often than not.

  3. 03

    Map where customer data already leaves for

    Every platform, app and integration holding a copy. This list is always longer than expected.

  4. 04

    Check hashing correctness

    Lowercase, trimmed, hashed once. Double-hashed values match nothing and look fine.

  5. 05

    Test whether a deletion request propagates

    Submit one and follow it. If it stops at your database, you have a compliance gap.

  6. 06

    Identify what is collected and never used

    Every unused field is exposure with no offsetting return.

First-Party Data · prove

What a working first-party setup looks like

Source of truth

Your own customer database or warehouse

  • One query returns a customer's identifiers, orders, consent state and originating click.
  • Click IDs captured at first touch and stored against the customer record.
  • Hashed fields verified correct by checking match rates in the platforms, not by inspecting the code.
  • Enhanced Conversions and CAPI match quality measurably improved against a documented baseline.
  • A deletion request traced end to end through every destination.
  • A written record of what is collected, why, and which system consumes it.

First-Party Data · free audit

What we check in the free audit

  • Find out whether you can produce one row per customer
  • Check whether click IDs are being captured and stored
  • Map where customer data already leaves for
  • Check hashing correctness
  • Test whether a deletion request propagates
  • Identify what is collected and never used

Checked against

Your own customer database or warehouse

Get my free conversion tracking audit

Free30 minutesNo obligation

First-Party Data · when not to buy

When this is premature — First-Party Data

  • Your conversion tracking is not yet correct. First-party data strategy on top of broken events produces confident wrong answers.
  • You have a few hundred customers. Manage the relationship directly; the infrastructure will cost more than it returns.
  • Nobody will own the data once it exists. An unowned customer database decays into a liability.
  • You are looking for a CDP because a vendor told you to. Most of what a CDP is sold for can be done with a server container and your existing database at a fraction of the cost. Establish the need first.

First-Party Data · what we deliver

Deliverables — First-Party Data

  • Identity resolution layer

    Custom or Segment/RudderStack

  • Activation pipelines

    Bidirectional sync to ad platforms

  • Strategy doc

    12-month roadmap

Written guarantee

95%+ tracking accuracy

Measured against Your own customer database or warehouse. Miss it and we keep working at no cost.

Get my free conversion tracking audit

Pricing

Pick the package that fits your ad spend

First-party data — Starter

$400one-time setup

Identity stitching across email + cookie + customer_id, with one activation pipeline (Meta or Google). Right when you're testing the model.

  • Email + cookie + customer_id stitching
  • 1 activation pipeline (Meta or Google)
  • Strategy doc
  • 30-day support
Start with starter

First-party data — Recommended

Recommended

$800one-time setup

Full identity resolution + light CDP setup, with bidirectional activation into Meta + Google + TikTok + Klaviyo. The standard.

  • Full identity resolution layer
  • Light CDP integration
  • Activation: Meta + Google + TikTok + Klaviyo
  • 12-month roadmap
  • 60-day support
Get the recommended package

First-party data — Enterprise

$1,800one-time + optional retainer

Enterprise CDP build (Segment / RudderStack / Hightouch) with multi-region residency, identity graph, and ongoing activation engineering.

  • Enterprise CDP (Segment / RudderStack / Hightouch)
  • Multi-region data residency
  • Identity graph + reverse-ETL
  • All major activation pipelines
  • Quarterly review + roadmap
  • 90-day support + retainer option
Get enterprise scope

FAQ

First-Party Data questions, answered

Depends on volume + budget. We'll recommend in discovery.

Free · 30 min

First-party data strategy call

Free30 minutesNo obligation