Solution Finder
What is your customer trying to achieve? Pick the problem closest to what they actually said — this translates it into the right methodology, data requirements, and Lab.
You said: “Use our customer data for advertising”
First-Party Data Onboarding
Data & ActivationWhy this fits
First-Party Data Onboarding is specifically the process of turning owned customer data into a usable, privacy-safe advertising audience.
What it answers
How do we take the customer data we already own (CRM, loyalty, purchase history) and use it safely to target, suppress, or enrich advertising audiences?
How it works
Customer records are hashed into privacy-safe identifiers, matched against a platform's or identity provider's graph to find addressable records, assembled into an audience, then pushed to activation destinations like a DSP, paid social platform, or search engine.
Data required
- Customer identifiers (email, phone, mailing address, or a durable customer ID)
- Record freshness / last-updated timestamp
- Consent status per record
- Volume of records (affects statistical usefulness of resulting audience)
Discovery questions
Where does your customer data live today?
Determines integration complexity — a single CRM is simpler than data spread across POS, loyalty, and ecommerce systems.
What identifiers are available in the dataset?
Available identifiers directly affect whether records can be matched and activated through identity or advertising platforms.
How many records, and how often does the data change?
Small or rarely-refreshed lists have limited advertising value and may not clear platform minimum thresholds.
Which markets is this for?
Consent and privacy regulation (e.g. GDPR, CCPA, Australian Privacy Act) varies by market and shapes what's permissible.
Is the objective targeting, suppression, enrichment, or measurement?
Each objective uses the matched audience differently and may require different data fields or match confidence.
What consent and privacy controls currently apply to this data?
Onboarding data without proper consent basis creates real regulatory and reputational risk.
Implementation approaches
Vendors
Risks & limitations
Risks
- Low match rate can make the resulting audience too small to be useful
- Poor identifier hygiene (typos, outdated emails) silently degrades match quality
- Consent gaps can create compliance exposure if not addressed before onboarding
Limitations
- Match rate is never 100% and varies significantly by platform and market
- Refresh cadence affects audience accuracy over time
- Not a substitute for proper consent management