Data engineeringAdvanced complexity
Identity Resolution
Stitches customer records across channels, devices and touchpoints into a single resolved identity, so every model and message keys off one person, not many fragments.
One customer, one record, so personalisation and measurement stop double-counting.
Who it's for
Any brand where the same customer appears as several records across web, app, till and email. The unlock for trustworthy segmentation.
The engagement
What you get
- Deterministic (and optional probabilistic) identity resolution logic
- A resolved customer key mapped across source systems
- Match-rate reporting and unresolved-record handling
What Fuse does
- Audit the identifiers available across sources
- Design and build the matching logic and survivorship rules
- Produce the resolved key and match-rate reporting
What we need from you
Data & access
- Customer records across sources
- Some shared identifiers (email, phone, loyalty id)
Your responsibilities
- Provide the source records and available identifiers
- Agree matching and merge rules with data governance
Outcomes and proof
- A single resolved customer across every channel
- Accurate segmentation, suppression and frequency capping
- Measurement that counts people, not records
Assumptions
- Identifiers exist to support matching
Out of scope
- Third-party identity graphs or bought-in data