Marketing & Advertising Technology

Data Sovereignty in a Post-Cookie World

With third-party cookies deprecated, we build MarTech stacks that keep ad spend attributable without sacrificing user privacy. Our work centers on server-side tracking architectures using GA4 and Google Tag Manager, moving conversion signals off the browser and into server-to-server integrations with Meta and Google to maintain accuracy within GDPR standards. We've also implemented header bidding and programmatic ad delivery via networks including Outbrain and Quality Media Network, with custom adapter logic for SPA environments.

On the RevOps side, we connect marketing signals to CRM outcomes using HubSpot, instrumenting form processing, CRM sync, lead scoring, and nurture sequences so that campaign performance flows cleanly from top-of-funnel traffic to closed revenue. Where needed, we bridge HubSpot to Salesforce for lead pipeline handoff, keeping data clean across both systems without rebuilding what's already working. We also design CDP-layer data models using Segment, defining canonical customer objects, event schemas, and identity resolution logic so every tool in the stack sees a consistent, trustworthy customer profile.

Increasingly, we layer AI-powered automation into these pipelines, using Claude and LangChain to build intelligent workflows that decide how to engage each user based on behavioral signals, rather than static rules.

  • Implementing server-side tracking with GA4 and GTM, including UTM standards, pixel coverage, event schemas, and first-party identity resolution
  • Deploying Server-to-Server (S2S) conversion APIs for Meta and Google to maintain attribution within GDPR privacy standards
  • Integrating HubSpot for form processing, CRM sync, lead scoring, and marketing automation; including HubSpot–Salesforce bridge configuration for lead pipeline handoff
  • Designing and shipping A/B tested landing pages at scale to drive conversion rate improvements and reduce CPA; use the SERP Preview Tool to validate how they appear in search
  • Building RevOps reporting that connects marketing data to CRM pipeline outcomes
  • Writing SQL to query, validate, and model marketing data across CRM and analytics systems
  • Designing AI-powered marketing workflows that replace static rules with intelligent, behavior-driven engagement logic

What This Looks Like in Practice

  1. Privacy-First Attribution

    Picture a server-side tag management setup that bypasses browser-based ad blockers to deliver 99% accurate conversion tracking for high-volume e-commerce, ensuring full attribution while strictly maintaining GDPR privacy standards.

  2. Automated Media Buying API

    Imagine a reporting interface that pulls real-time warehouse inventory to automatically pause or scale Meta and Google ad spend based on stock levels, correlating your ad spend directly with real-world CRM and inventory outcomes.

  3. The Seamless Lead Handoff

    Discover the efficiency of custom middleware that routes high-value leads to the correct regional representative based on real-time firmographic data, ensuring lead routing logic and sequence automation function with zero manual intervention.

Tech Stack

Analytics & Tracking
GA4GTMSegmentMatomoMixpanel
CRM & Email
HubspotBuffer
Advertising
Facebook Business ToolsGoogle Ads

On the Radar

Cutting-edge tools on our active shortlist — being piloted, evaluated, or closely watched for production adoption.

CRM & RevOps
Clay, PostHog, Loops, Attio, RB2B, Koala, Statsig, June