Search & Performance Max
Google Ads engineered around qualified pipeline, not last-click conversions. Performance Max with proper feed engineering, conversion-value bidding, and exclusion architecture that prevents budget drift.
Module · Performance Media
Mathematical performance media for B2B brands.
Google, Meta, LinkedIn, programmatic. Engineered around LTV and payback, not vanity CTR. Server-side conversion APIs, MMM-informed budget split, creative engine that keeps the test pipeline full at all times.
What's engineered
Six engineered capabilities.
Paid Social
Meta, LinkedIn, TikTok — engineered for B2B audiences with proper Conversion API setup, lookalike modeling against high-LTV segments, and creative testing velocity that beats agency averages.
Programmatic & Display
DV360, The Trade Desk, programmatic display engineered against B2B ICP audiences. Account-based programmatic for enterprise targets, retargeting architecture that doesn't waste spend on existing customers.
Conversion API Engineering
Server-side Conversions API for Meta, Enhanced Conversions for Google, LinkedIn CAPI. Browser-restriction-proof event capture that restores 30 to 50 percent of the signal lost to iOS 17 and ad blockers.
Marketing Mix Modeling
MMM-informed budget allocation across channels — mathematical modeling of incrementality, saturation curves, and channel interaction effects. Budget decisions engineered, not guessed.
Audience Architecture
Customer lists engineered from CRM data and warehouse cohorts. Lookalikes built against high-LTV segments, not just converters. Exclusion lists that prevent re-acquiring existing customers as new leads.
Why this matters now
Beyond CTR optimization.
Most paid media agencies optimize for click-through rate and cost per lead. We optimize against payback period, lifetime value, and contribution margin. The difference is mathematical: a campaign with 30% lower CTR but 2× the LTV is engineering for compounding revenue, not for slide-deck metrics.
Engineered for signal-restored measurement.
Browser restrictions and privacy-driven changes have destroyed roughly 30 to 50 percent of marketing signal in the last three years. Performance media without server-side Conversion APIs is bidding on incomplete data — the platforms can't optimize what they can't see. We engineer the measurement layer first, then run the campaigns against an architecture that actually sees what's happening.
Mathematical budget allocation.
Most agencies allocate budget by gut feel or last-touch attribution. We engineer Marketing Mix Modeling against your historical data — mathematical analysis of channel saturation, interaction effects, and incrementality. Budget shifts are calculated, not negotiated. You see the math behind every reallocation.
Tooling deployed
The stack we engineer on.
Ad platforms: Google Ads, Meta Ads Manager, LinkedIn Campaign Manager, TikTok, DV360, The Trade Desk, programmatic exchanges.
Conversion infrastructure: Server-side GTM, Stape, Meta Conversions API, Google Enhanced Conversions, LinkedIn CAPI, custom event capture into BigQuery.
Bid management: Native platform automation, custom bid scripts, Optmyzr for high-volume accounts, custom Python optimization for enterprise scale.
Measurement & attribution: BigQuery and Snowflake warehouses, multi-touch attribution models, MMM via Robyn or proprietary engineering.
Creative testing: Programmatic variant generation via the Performance Creative Engine, A/B test orchestration, creative fatigue monitoring.
Engineer your media program
Get an engineered performance media architecture.
Discovery Audit includes a full media review — channel mix analysis, conversion API gaps, attribution accuracy, and the highest-impact engineering moves for your specific stack. Six weeks, fixed scope, your roadmap.