Your Marketing Data Is Lying to You (Here's How to Fix It)
This episode of "Teach Me in 10" dives into one of the most common questions we get from clients: How do you set up Salesforce tracking properly to actually measure marketing effectiveness?
Fractional Demand Team
How do you set up Salesforce tracking properly to actually measure marketing effectiveness?
It's one of the most common questions we get from clients, and for good reason — most B2B companies are making decisions based on data that doesn't tell the full story.
The Problem
Marketing data lies for a few key reasons:
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Attribution is broken — Most companies rely on last-touch or first-touch attribution, which misses the vast majority of touchpoints in a B2B buying journey.
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CRM data is messy — Duplicate records, missing fields, inconsistent naming conventions, and broken integrations mean the data you're looking at is incomplete at best.
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Vanity metrics dominate — Teams optimize for MQLs, clicks, and impressions instead of the metrics that actually matter: SQLs, opportunities, pipeline, and revenue.
How to Fix It
Step 1: Define Your Source of Truth
Pick one system (usually your CRM) as the single source of truth for pipeline and revenue data. Everything else feeds into it.
Step 2: Build a Simple Attribution Model
Don't overcomplicate it. Start with:
- Self-reported attribution ("How did you hear about us?")
- Last non-direct touch in GA4
- CRM opportunity source
Step 3: Track What Matters
Stop reporting on vanity metrics. Focus on:
- Cost per SQL
- Cost per Opportunity
- Pipeline generated
- CAC payback period
Step 4: Clean Your Data
Invest in data hygiene. Deduplicate records, standardize properties, and audit your integrations quarterly.
The companies that win at demand gen aren't the ones with the most sophisticated attribution models — they're the ones with clean data, simple models, and a relentless focus on pipeline.