Software Discipline for Digital Measurement
Analytics Dev was founded on a simple conviction: marketing measurement and analytics deserve the same architectural rigor, version control, and data validation as mission-critical software systems.
Moving Beyond Quick Fixes and Broken Tags
For years, marketing tracking has been treated as an afterthought—cobbled together with dozens of unvetted third-party JavaScript snippets injected through tag managers. The result is predictable: slow load speeds, unverified conversion counts, broken attribution, and silent failures that go unnoticed for months.
At Analytics Dev, we approach tracking as an infrastructure engineering problem. We build structured, type-checked dataLayers, run first-party server-side tagging on containerized cloud infrastructure, enforce strict privacy consent, and build automated AI pipelines to monitor and operationalize that data.
The Analytics Dev Engineering Standard
1. Verifiable Proof
We never mark a tag or webhook complete without verifying raw HTTP payloads in network inspectors and matching events against transactional databases.
2. Zero Vendor Lock-In
All containers, cloud projects, and databases are owned by you. We deploy directly to your Google Cloud, AWS, or custom VPS accounts.
3. Privacy by Architecture
Consent Mode v2 and server-side data scrubbing ensure full compliance with GDPR, ePrivacy, and global privacy laws without relying on fragile client scripts.
What Governs How We Work
Principled execution designed to give your engineering and marketing leaders complete peace of mind.
Integrity Over Guesswork
We never guess or assume how a tag is firing. Every event, parameter, and webhook is verified with network logs, preview tools, and raw database payloads.
Clean, Typed Engineering
We treat analytics like production software. Consistent naming conventions, strict schemas, version-controlled containers, and maintainable documentation.
First-Party Data Ownership
You retain 100% control of your containers, cloud infrastructure, and data warehouses. No black-box proprietary scripts or vendor lock-in.
Privacy by Design
We construct tracking architectures that respect user choices, adhere to Consent Mode v2, and sanitize PII at the server boundary before dispatch.
Practical AI, Not Hype
We apply AI automation where it creates real operational leverage: automated anomaly detection, reporting pipelines, and workflow orchestration.
Transparent Communication
We communicate asynchronously with clear ticket updates, staging previews, Loom video walk-throughs, and prompt technical support.
Platforms & Protocols We Master
We work comfortably across modern frontend frameworks, cloud container hosts, and automation backends.
- • Google Tag Manager (Web & Server)
- • Google Analytics 4 (GA4)
- • Meta Conversions API (CAPI)
- • Google Ads Enhanced Conversions
- • TikTok & LinkedIn Events APIs
- • Google Cloud Run & GCP
- • AWS ECS & CloudFront
- • Docker & Docker Compose
- • Nginx Reverse Proxies & SSL
- • Stape.io & Custom VPS Hosts
- • Google BigQuery & SQL Views
- • Looker Studio Executive Dashboards
- • HubSpot CRM & Salesforce
- • Shopify Plus & WooCommerce
- • Stripe & Webhook Gateways
- • n8n Workflow Automation
- • Google Gemini API & Claude/GPT
- • Python Data Scripting & Pandas
- • Node.js & TypeScript Webhooks
- • Automated Slack Alerting Bots
Ready to upgrade your tracking to software-grade quality?
Get in touch to review your current measurement challenges with a senior engineer.