Local Data Attribution
Full-funnel measurement for Data Attribution teams operating in PA.
Market signal
Platform-reported ROAS in Allegheny County rarely matches CRM-sourced revenue.
Local proof
Market signal
Objection handler
Jumpstart Scaling · Operating system
Full-funnel measurement infrastructure that connects every dollar of ad spend to actual downstream revenue. for businesses dominating Pittsburgh
Attribution Accuracy
Wasted Spend Identified
Scaling Confidence
<p>We bypass browser restrictions and ad blockers by implementing rigorous server-side tracking (CAPI). We capture every click, view, and submission directly at the server level, ensuring near-100% data fidelity regardless of client-side privacy settings.</p>
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<p>We stitch together user journeys across devices and sessions. When a user clicks an ad on mobile but buys on desktop three days later, our identity graph connects those events, giving credit where it is due.</p>
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<p>We move you beyond platform ROAS to ecosystem metrics. We build dashboards that track MER (Total Revenue / Total Spend) and nCPA (New Customer Acquisition Cost), giving you the true north metrics for profitability.</p>
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Eliminate 20-30% of wasted ad spend immediately
Scale winning campaigns with mathematical confidence
Understand the true LTV impact of each acquisition channel
Own your data independent of platform changes (iOS updates)
Feed better data back to ad algorithms to improve targeting
Pittsburgh, PA
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Verified revenue control planes tailored to the regulatory, market density, and unit economic constraints of active regional metropolitan markets.
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Engineered revenue infrastructure for scaling operators in Miami-Dade County. Deploying sub-second routing and closed-loop attribution near South Beach.
Autonomous workflows, vector intelligence, and memory-safe systems built to scale business operations without fragility.
Decompose bottlenecked monolithic services into rock-solid Rust binaries.
Problem Addressed
The prototype works but falls apart under concurrent usage.
Definitive engineering scope blueprints that eliminate developer confusion.
Deterministic Tokio worker pools and event-driven control plane loops.
Problem Addressed
The orchestration logic is hidden inside prompts or scattered helpers.
HNSW vector indexes and multi-tenant collection clustering at scale.
Problem Addressed
Search results feel random even though embeddings are being stored.
Zero-copy deserialization engines sustaining 50,000+ RPS with flat p99s.
Problem Addressed
Retrieval logic is scattered across scripts, notebooks, and temporary endpoints.
Sub-second real-time telemetry dashboards and business KPI monitors.
Deterministic Architecture Discovery: Showing specialized subsystems suited to your active workflow context.
