Focused ways to begin improving
your data layer.
Focused engagements for repairing, shaping, and governing the behavioral data layer behind analytics, activation, and AI systems.
Tracking Architecture Audit
A comprehensive diagnostic of your current event schemas, tagging implementations, and server-side routing. We identify tracking gaps, schema inconsistencies, and missing compliance states.
Key Deliverables
- ▸ Tracking Plan Gap Analysis
- ▸ Tag Manager & Server-Side Audit
- ▸ Schema Remediation Roadmap
Typical duration (estimated)
2-3 weeks (estimated)
You provide
read-only access to your tag manager and analytics, one stakeholder hour
Not included
implementation (separate commission)
Inside the audit report
- 1. Full tag and pixel inventory
- 2. Purchase-event integrity check
- 3. Order-level reconciliation
- 4. Server-side and CAPI review
- 5. Remediation priorities
Identity Resolution Design
Engineering the logic to stitch anonymous behavior with authenticated events. We map out deterministic and probabilistic stitching rules for your data warehouse or customer data platform (CDP).
Key Deliverables
- ▸ Identity Graph Blueprint
- ▸ Cross-Device Stitching Logic
- ▸ Warehouse Integration Spec
Typical duration (estimated)
3-5 weeks (estimated)
You provide
warehouse read access
Not included
the build itself (separate commission)
Consent & Lineage Review
Ensuring your behavioral data pipeline is model-ready. We audit your consent state capture, CMP integrations, and data lineage documentation to prepare for strict privacy regimes.
Key Deliverables
- ▸ CMP Implementation Audit
- ▸ Data Lineage Documentation
- ▸ Model-Readiness Check, Documented
Typical duration (estimated)
2-3 weeks (estimated)
You provide
CMP and tag access
Not included
remediation build
Behavioral Dataset Build
An end-to-end implementation sprint. We take your raw event stream and compile it into a normalized, typed, identity-resolved, and warehouse-ready feature set.
Key Deliverables
- ▸ Standardized Event Schemas
- ▸ Feature Dictionary
- ▸ dbt Models / Warehouse Tables
Typical duration (estimated)
6-12 weeks depending on sources (estimated)
You provide
warehouse access via your named account
Not included
ongoing stewardship
Enterprise Signal Retainer
Ongoing stewardship of your data layer. Dedicated engineering and governance support to continuously monitor schema integrity, integrate new sources, and maintain causal signal quality.
Key Deliverables
- ▸ Continuous QA Monitoring
- ▸ Monthly Schema Governance
- ▸ Direct Engineering Access
Typical duration (estimated)
monthly
You provide
a named counterpart on your side
Not included
one-off audits (their own commission)
The intro call is not billed. Every commission is quoted per scope after a scoped intake.
How it works
Assess
We evaluate your current pipeline and define the gaps.
Design
We engineer the schemas, rules, and blueprints.
Build / Review
We implement the logic or audit your deployment.
Handoff
You receive documented, production-ready assets.
Reserve an Ingestion Call
Ready to commission a data asset? Book a time to discuss your current tracking architecture and select the right engagement model.
Start Data Audit & Consultation