Reliable data collection,
resolution, and delivery for AI-ready systems.
Craft Sandbox Demo
Toggle pipeline state to witness material transformation
{
"event": "purchase_maybe_final2",
"ts": "1782155023",
"ecid": "58212871133248041",
"aid": "2A8C1F04E5192-6000108A2296",
"url": "/checkout/thanks?gclid=CjAKQjw...",
"val": "149.99",
"currency": null,
"usr_em_sha": "",
"device": "iPhone15,3",
"custom_evar12": "PROMO-SUMMER??",
"consent_state": "unknown"
}Pipeline Diagnostic
One purchase event arrived with inconsistent naming, untyped values, unresolved identifiers, unknown consent state, and unclear campaign fields. Useful signal exists, but the record is not yet reliable for analytics, attribution, automation, or model training.
AFTER: normalized, typed, identity-resolved, consent-aware, lineage attached
Built around your existing stack
Client-owned stack
Your apps, CRMs, CDPs, and warehouses. You retain full control of credentials and governance.
Webclat-built data layer
We validate, resolve identities, capture consent, and orchestrate pipelines directly within your systems.
BI/Data Science handoff
Model-ready tables, automated workflows, and documented lineage for your analysts and engineers.
Tracking Architecture
Event schemas & collection governance
Event taxonomies, tracking plans, and schema governance across web, mobile, and server-side sources. Every field named, typed, and documented before a single event flows.
Data Collection & Instrumentation
Platform engineering & server-side capture
Adobe Analytics, Google Analytics 4, and product analytics - implemented, migrated, and audited. Custom dashboards and campaign reporting your team actually reads, built on data your team can actually trust.
Conversion Signal Engineering
Pixels, CAPI & offline conversion feeds
Pixel and server-side conversion tracking done right: Conversion API insertion, offline conversion uploads, and ad-platform signal quality that makes every campaign dollar measurable.
CDP Implementation & Migration
First-party data pipelines
Segment, Tealium, Adobe Launch, Google server-side: instrumentation, migration, identity resolution done right the first time within client-owned CDPs.
Identity Resolution
Customer, device & offline identity logic
Machines capture; craftsmen calibrate. We manually verify tracking against real user journeys and transform raw behavior into fields your data science team can model on without guessing.
Incrementality & Causal Measurement
Measurement-data preparation
Separating correlated touchpoints from outcome-driving events, performing deduplication, drift detection, and causal signal curation for measurement-data preparation.
Data Warehouse Delivery
Warehouse-ready datasets & lineage
Governed datasets delivered where the work happens - Amazon Athena, S3, Parquet, your warehouse, your CDP audiences, your CRM - compiled to stay useful.
Fraud & Risk Data Feeds
Behavioral signals for risk models
Behavioral signals engineered for fraud and risk models: sequenced events, device context, anomaly-ready features, full lineage for compliance review.
CRM Activation Automation
Validated audience and lifecycle syncs
Automated flows moving validated datasets between warehouse, CRM, and activation channels - checked, logged, reversible.
Common use cases
These services create the data foundation behind analytics, activation, reporting, measurement, and AI-ready workflows - depending on your stack, governance requirements, and internal team goals.
Personalization & recommendation systems
Fraud & risk scoring
Attribution & conversion intelligence
Customer lifecycle & CRM activation
LTV, churn & propensity modeling
First-party customer data foundations
Governed warehouse datasets
BI & executive reporting foundations
Experimentation & measurement-data preparation
Customer 360 & entity-level behavioral records
How teams work with Webclat
Choose the engagement model that matches your current data maturity, internal team capacity, and urgency.
Data Audit
A focused review of your current tracking, identity, consent, conversion, and warehouse setup.
Implementation Sprint
A scoped build for tracking, CDP, server-side collection, warehouse delivery, or conversion signal repair.
Retainer / Data Stewardship
Ongoing QA, schema governance, analytics support, model-data iteration, and activation monitoring.
Enterprise Collaboration
Custom work for regulated data, fraud/risk signals, privacy governance, and internal data science teams.