EGGKNITE runs data & analytics engineering for brands across the West Coast, from San Francisco to Los Angeles to Seattle. We work as a senior, remote team, so where your office sits never caps the talent on your account.
The West Coast sets the pace on AI, SaaS and DTC. Buyers are product-led and the bar for data and AI-search visibility is the highest in the country.
The West Coast sets the pace on AI, SaaS and DTC. Buyers are product-led and the bar for data and AI-search visibility is the highest in the country. We build data & analytics engineering for that mix of buyers.
We run as a distributed senior team, not a West Coast storefront — so your budget buys operators and engineering instead of a downtown office. We work inside your own accounts, on US business hours, and most clients never needed us in the room to hit their numbers.
We go far beyond standard analytics by discovering deeper customer signals and behavioral patterns that unlock significantly higher business returns. Our advanced targeting frameworks feed platforms enriched, high-intent signals most competitors never surface - driving more precise acquisition, stronger retention, and greater overall profitability.
Trustworthy tracking feeding one customer profile your whole stack agrees on. We implement GA4, GTM, and server-side tracking that survives ITP and ad blockers, validated event by event with consent wired in. A CDP then stitches accounts, people, and devices into one deterministic-first profile every tool in your stack reads.
A spend-to-revenue picture that holds up in a finance review. We run multi-touch attribution where the data supports it, media mix modeling where it does not, and incrementality tests to settle the argument when the two disagree. The result holds up in a full finance review.
Enriched profiles synced to the channels that can act on them. We layer firmographic, technographic, intent, and behavioral signals onto every profile, powered by MadSight, our data activation platform. Enriched segments flow to Meta, Google, LinkedIn, and your CRM on a continuous schedule.
Predictions and self-updating dashboards, built on data you own. LTV prediction, churn propensity, lead scoring, and demand forecasting run on modeled, version-controlled data in your own warehouse. Executive dashboards reconcile spend to revenue automatically, and every number is defined, sourced, and safe to act on.
The West Coast sets the pace on AI, SaaS and DTC. Buyers are product-led and the bar for data and AI-search visibility is the highest in the country. We run data & analytics engineering for brands in San Francisco, Los Angeles, Seattle, San Diego and everywhere between — the same senior team, wherever you are based.
We begin with full read access across your analytics, advertising, CRM, lifecycle, and warehouse environments. Within the first 30 days, we deliver a comprehensive audit that surfaces every broken tag, identity gap, and unreliable metric — clearly ranked by revenue impact — along with a signed measurement blueprint for moving forward. For the first time, you gain complete visibility into what’s actually working and what isn’t.
We implement clean, enterprise-grade tracking — GA4, GTM, and server-side collection — built precisely to the approved blueprint and validated event by event. Identity resolution and customer profiles begin unifying across devices and accounts, while the first modeled tables land in your own warehouse. You see event coverage increase rapidly and returning customers stop appearing as new.
Attribution and media mix models go live and are rigorously reconciled until spend, pipeline, and revenue tell one consistent story. Enriched audiences activate automatically across your channels, and executive dashboards come online with trustworthy numbers. By day 90, you’re making confident budget decisions off a single source of truth, with your team fully equipped to own and operate the system.
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