Lead scoring, pipeline attribution, and forecasts from the CRM data you already have.
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“I don't dig into lead details anymore. I go straight to the score.”
Lead scoring from two years of CRM data. One segment converts at 3.8x the average rate.
Read the full case →Works with your stack
Know which leads to prioritize. I build scoring models from your actual conversion data.
See which marketing activities actually drive pipeline and revenue.
Know where every dollar goes and which channels deserve more investment.
First insights delivered within weeks.
I dive into your CRM and marketing data. Map what you have, identify gaps, and find quick wins.
I find what's working and why. Build scoring models, map attribution, and surface patterns your team is missing.
Clear recommendations on where to focus, what to cut, and how to grow.
A replay of real client work. Two years of inbound leads, scored against closed-won history.
Faddom's sales team now works the score instead of the queue. Read the case · See the full report
A 5-step process for defining your ideal customer profile from CRM data.
Read the guide →A 6-dimension scoring system that tells your team which leads deserve attention.
Get the framework →Turn raw lead volume into a quality score your team can act on.
Read the framework →Six questions, instant score, and exactly where an audit would look first. No email required.
Take the assessment →Most of my work is GTM analytics for B2B software teams. I also help small businesses, nonprofits, and teams that need clear answers from their data. Reports and dashboards, CRM setup and cleanup, light automations, one-off analyses. If the problem is "we have data and no answers", it's probably a fit.
Tell me what you're working with →
Seven years in data, ex-Riskified, MBA. I post what I learn from real GTM data on LinkedIn: the useful, the surprising, and the occasional football chart.