Data-Driven Marketing —
Stop Guessing, Start Knowing.
Most marketing teams fly blind — making million-dollar decisions on gut feeling and broken analytics. We build the data infrastructure that turns every dollar into a measurable outcome.
Four models. One complete picture.
No single attribution model tells the full story. We implement all four and layer them together — so you see every angle of your customer journey and allocate budget with precision.
First-Touch Attribution
Awareness insightGives 100% credit to the first interaction a customer has with your brand. Ideal for understanding which channels drive initial awareness and top-of-funnel discovery. First-touch reveals where your audience finds you.
How an ecommerce brand cut costs 34% by letting data decide where budget goes.
Siloed analytics · No cross-channel visibility
$98K/mo ad spend with gut-feel allocation
Last-touch only · Overspending on branded search
NovaBright · Ecommerce · Home & Garden
Full multi-touch attribution across 12 sources
34% cost reduction · Same revenue output
2× marketing efficiency · Data-driven allocation
Not just dashboards. A full data intelligence engine.
Data Audit & Gap Analysis
We map every data source, identify blind spots, and uncover where attribution breaks down. Most companies are missing 30-50% of their customer journey data.
Tracking Infrastructure
Server-side tracking, enhanced conversions, first-party data collection, and pixel implementation. We build the foundation that makes accurate measurement possible.
Multi-Touch Attribution
First-touch, last-touch, linear, and time-decay models — all running simultaneously. See exactly how each channel contributes to revenue across the full funnel.
Data Unification
We connect up to 12+ data sources into a single dashboard — Google Analytics, ad platforms, CRM, email, call tracking, and more. One source of truth, zero data silos.
Predictive Analytics
Machine learning models that forecast LTV, predict churn, identify high-value segments, and recommend budget allocation before you spend a dollar.
Executive Reporting
Weekly and monthly reports that translate raw data into actionable recommendations. No vanity metrics — just the numbers that drive revenue decisions.
Transparent pricing. Measurable outcomes.
Flat fees — no percentage-of-spend markups. The analytics setup pays for itself within the first month of optimized allocation.
Analytics Setup
Full tracking audit · GA4 + pixel setup
Ongoing Analytics
Attribution modeling · Monthly optimization
Full Data Stack
All sources unified · Predictive analytics
Platform fees included · All plans month-to-month · Cancel anytime
From gut-feel to measurable marketing.
Most marketing teams drown in dashboards but make decisions on gut. We build data pipelines + dashboards + experimentation loops that make every marketing decision auditable.
Data audit + warehouse setup
Month 1Audit current data sources (GA4, CRM, ad platforms, ESP, product analytics). Build a marketing data warehouse (BigQuery, Snowflake, Postgres) with unified customer IDs.
Dashboards + reporting
Month 2Looker Studio / Hex / Mode dashboards for executives, marketers, and ops. Single source of truth for CAC, LTV, ROAS, pipeline velocity, cohort retention.
Experimentation culture
Month 3+A/B testing framework, pre-registered experiments, statistical-significance discipline. Every marketing change measured properly — no more “it felt like it worked.”
Marketing mix + MMM
OngoingMarketing-mix modeling once enough data accumulates (6-12 months). Media-mix optimization reallocates spend to highest-ROI channels quarterly.
Full marketing-data operation.
Data pipelines, dashboards, experimentation, attribution, and modeling — built end-to-end.
Marketing data warehouse
BigQuery, Snowflake, or Postgres setup with ETL via Fivetran / Airbyte. Unified customer IDs across ad, CRM, ESP, product analytics. Single source of truth for marketing.
Unified dashboards
Executive, marketer, and ops dashboards in Looker Studio / Hex / Mode. Real-time CAC, LTV, ROAS, cohort retention, channel-by-channel performance.
Attribution + MMM
Multi-touch attribution models (linear, time-decay, data-driven). Marketing-mix modeling once enough data accumulates. Media-mix optimization quarterly.
Experimentation framework
Pre-registered A/B tests, statistical-significance discipline, experiment-library shared in Notion. Every marketing change measured properly — no more vibes-based decisions.
Built for marketing teams that care about truth.
Data-driven marketing pays off when you commit to measuring and changing your behavior based on results. Teams that want confirmation, not truth, won't benefit.
Large DTC + Ecom
Multi-channel brands spending $500K+/year on media. Marketing-mix modeling + unified attribution unlock 15-30% media efficiency gains.
B2B SaaS
Pipeline-attributed marketing, channel-to-revenue modeling, product-usage → marketing-trigger automation. CRM + data-warehouse integration essential.
Healthcare Systems
Patient-acquisition analytics, provider-marketing ROI, service-line profitability modeling. Regulatory-safe attribution frameworks.
Apps + Mobile Products
Install-to-revenue funnels, LTV modeling, cohort retention, activation optimization. Data-driven defaults for mobile-first economies.
Best-in-class marketing data infrastructure.
Enterprise-grade data + BI stack — configured for marketing specifically, not one-size-fits-all.
Data-driven marketing, answered honestly.
Why not just use GA4?
GA4 is a browser-session data source — one of many. It can't model CAC + LTV, tie marketing to CRM revenue, or handle offline conversions. Data-driven marketing layers GA4 + CRM + ad platforms + product analytics + ESP into a unified view.
What about marketing-mix modeling?
Works after 6-12 months of clean data. Bayesian MMM via Meridian, Recast, or custom dbt pipelines reallocates budget across channels quarterly. Typical efficiency gain: 15-30% on flat spend.
Do I need a data engineer in-house?
Not initially. We operate the pipeline + BI stack for 12-24 months. Most clients hire an in-house data analyst by year 2 to compound what we've built.
How do you handle privacy + consent?
GDPR + CCPA-compliant from day one. Consent-mode v2, IP anonymization, server-side tagging with PII redaction, data-retention limits enforced in warehouse. Marketing data ≠ PII data lake.
What does attribution actually reveal?
Usually: paid social gets over-credited last-click; content + brand + email get under-credited. MMM consistently shows 20-40% of ad budget is redirectable to higher-ROI channels once you see true multi-touch.
You can't optimize what
you can't measure.
Book a free data audit. We'll map your current analytics gaps, show you where attribution is breaking, and deliver a custom measurement plan — whether you hire us or not.
Free data audit · No commitment · Insights in 48 hours
Three ways to get started
Pick the path that fits you best — a quick form, a detailed brief, or a live call. Selected service: Digital Marketing.
Prefer phone? Call (480) 650-9911 — Mon–Fri · 9am–6pm MST