Staff waste 10 to 20 hours a month aggregating data into client spreadsheets.
Automated API pipelines that pull live data from Google, Meta, and CRM into real-time dashboards.
Cookie deprecation and iOS privacy have wiped out 30 to 40% of trackable conversions. We build server-side tracking and automated reporting so attribution and margins survive.
Staff waste 10 to 20 hours a month aggregating data into client spreadsheets.
Automated API pipelines that pull live data from Google, Meta, and CRM into real-time dashboards.
Signal loss obscures true ROAS, wasting budget on weak channels.
Server-side tracking that captures first-party data securely and routes it to ad platforms.
Ad-platform and CRM disconnects make it impossible to track which campaigns drive qualified leads.
A custom integration linking ad click data to pipeline revenue in Salesforce or HubSpot.
Ad platforms, CRM, and analytics on one attribution model.
Server-side events from every channel flow into the same pipeline, so spend, conversions, and revenue reconcile to one number instead of five conflicting dashboards. Decisions run on real MER, not platform-reported guesses.
iOS privacy, browser tracking prevention, and cookie deprecation have obliterated 30 to 40% of observable conversions.
The industry is adopting server-side tracking infrastructure to reclaim first-party data securely.
Agencies are replacing manual spreadsheet compilation with API-driven data orchestration to protect margins.
Of trackable conversions lost to privacy restrictions
Digital Applied, 2026
Of attribution setups hit by cookie deprecation by 2026
TrueROAS, 2026
Manual labor saved per client report with automated pipelines
AgencyAnalytics, 2026
Of client ad spend deemed ineffective from poor attribution
Matomo / TrueROAS, 2026
Figures describe the marketing technology market, not Techtiz engagements. Sources: Digital Applied, 2026; TrueROAS, 2026; AgencyAnalytics, 2026.
First-party data captured on infrastructure you control, bypassing ad blockers and routed to ad-platform APIs.
API pipelines that pull live data into unified dashboards, ending manual spreadsheet compilation.
Click data linked to pipeline revenue in Salesforce or HubSpot, resilient to platform updates.
A BigQuery foundation for complex blending and custom metric calculation.
Two builds where the work was in the parts that do not demo.
Why it is relevant: a data-integrity platform where every record was traceable, the discipline clean attribution requires.
Why it is relevant: a product with a returning-engagement loop, the model behind first-party data capture.
If your SLED scope includes communications analytics or secure data pipelines, we build it behind the prime. The boundary is fixed on purpose.
NDA-first, subcontract-only. We work behind the prime, under your brand. We do not pursue prime contracts and we never face the agency.
Privacy-first by design. First-party, consent-aware data capture and secure warehousing that respects strict governance.
Capability over claims. Server-side tracking, API pipelines, and CRM integration mapped to your bid's scope.
Privacy updates like iOS 14.5 block the browser from sending data back. We fix this by implementing a parallel system for server-side tracking that sends first-party data directly to the ad platform's API.
SaaS tools hit a hard ceiling when you need to blend complex CRM data with ad spend or calculate custom metrics. Custom operational automation gives you complete control over the data architecture.
By eliminating manual export and spreadsheet work, automated data pipelines save an average of 2.5 hours per client report, every month.
No, and any vendor claiming they can is not being honest. Privacy regulations make perfect user-level tracking impossible. We capture all compliant data and use broad metrics like MER to guide strategy.
Tell us where your reported numbers stopped matching reality. We will rebuild the tracking.