
The Attribution Model That Actually Attributes
The Challenge
AKA "We're Spending Money on Marketing, But Where's It Going?"
Moov came to me with a classic B2B problem: they were investing in marketing activities but had zero visibility into what was actually working. In the semiconductor equipment marketplace, this wasn't just inconvenient — it was expensive.
Here's what was keeping their COO awake at night:
Marketing budget disappearing into a black hole with no clear ROI
Multiple disconnected data sources that didn't talk to each other
Complex buyer journeys that lasted months (with zero visibility into the journey)
Leadership asking "what does marketing actually do?" (ouch)
Sales team getting leads but no context about where they came from
The brutal truth: They were essentially throwing darts at a marketing board while blindfolded. Some campaigns were probably working great, others were burning cash, but nobody knew which was which.
The Solution
Building a Marketing Attribution System That Actually Works (Not Just Another Dashboard That Looks Pretty)
I knew this wasn't a "let's add some tracking codes" problem. This was a "let's build a revenue attribution engine" challenge.
Phase 1: The Data Integration Foundation
Making All Your Marketing Tools Actually Talk to Each Other
First, I had to solve the data chaos:
Created UTM frameworks that didn't suck (seriously, most are terrible)
Set up enhanced GA4 tracking that captured actual buyer behavior
Built custom CRM fields that connected marketing touches to revenue
Developed API connections between platforms (because manual data entry is for amateurs)
Implemented first-party cookie tracking (privacy-compliant, naturally)
Phase 2: Multi-Touch Attribution That Reflects Reality
Because "Last Click" Attribution Is Marketing Malpractice
Instead of giving all credit to the last thing someone clicked, I built a weighted attribution model that actually reflected how B2B buyers make decisions:
30% First Touch - Credit where the relationship started
30% Lead Conversion Touch - What convinced them to raise their hand
25% Last Touch Before Opportunity - What pushed them over the edge
15% Influencing Touches - Everything else that mattered along the way
Phase 3: The Command Center Dashboard
Real-Time Intelligence That Actually Drives Decisions
I built a custom Looker Studio dashboard that became their marketing mission control:
Visualized the complete customer journey (not just pretty charts)
Showed attribution by channel, campaign, and content piece
Calculated real cost-per-lead and ROI for every initiative
Provided both executive summaries and tactical deep-dives
Updated in real-time (because monthly reports are so last decade)
Phase 4: The Decision Framework
Turning Data Into Action (Not Just More Reports)
Data without decisions is just expensive spreadsheets. I created:
Weekly performance review protocols with clear action triggers
Automatic budget reallocation rules based on ROI thresholds
A/B testing methodology for continuous optimization
Channel saturation indicators to prevent over-investment
The Results
When Marketing Attribution Actually Works (Spoiler Alert: Everyone Gets Excited About Marketing)
Strategic Budget Wins
The real-time dashboard revealed some shocking truths:
LinkedIn campaigns targeting procurement managers delivered 4.7x higher ROI than industry publications
Webinars were generating 3.2x more pipeline than originally measured
Trade shows were basically expensive networking events (oops)
Reallocated $50,000 from underperforming channels to winners
Executive Transformation
Marketing conversations with leadership completely changed:
From "justify these costs" to "how can we invest more?"
Clear line-of-sight from marketing activities to actual revenue
Marketing became a strategic growth driver, not a cost center
Confidence to increase budgets in high-performing areas
Cross-Functional Love
When marketing can prove its value, amazing things happen:
Sales actively requested more support in high-performing channels
Product teams prioritized features that drove engagement
Customer success tailored onboarding by acquisition channel
Finance started treating marketing forecasts seriously
The Numbers That Matter
3.1x increase in marketing ROI (from "unknown" to "holy cow")
42% reduction in cost per lead (more leads, less spend)
28% improvement in lead-to-opportunity conversion (better quality leads)
2.5x increase in marketing-sourced pipeline (attribution that actually attributes)
The Bottom Line
Why This Worked When Other Attribution Projects Fail
Most attribution projects fail because they focus on tracking everything instead of tracking what matters. I built a system that:
Connected marketing activities directly to revenue outcomes
Provided actionable insights, not just pretty dashboards
Updated in real-time so decisions could be made quickly
Aligned all teams around shared revenue goals
The result? Moov went from guessing where their marketing budget should go to knowing exactly which investments drove growth. Their marketing spend became predictable, measurable, and defendable.
Ready to stop throwing darts at your marketing budget? Let's build you an attribution system that actually works.
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