Biography
Daniel is the principal attribution analyst at Paid Lens. He owns how Lens Intelligence™ resolves conflicting platform definitions into one measurement model that finance will accept.
He has rebuilt attribution for retailers, marketplaces and B2B software companies, and has spent more hours than he would like reconciling ad platform conversions against closed-won revenue.
His writing focuses on the practical version of attribution: which model you can defend, how to validate it with holdouts, and how to stop double-counting revenue across channels.
Areas of expertise
- Multi-touch attribution modeling
- CAC and payback measurement
- Identity resolution across platforms
- CRM and revenue data joins
Works on
Articles by Daniel Fischer
Multi-Touch Attribution: A Practical Guide for Teams Without a Data Team
Model choices explained in plain language, what each one over-credits, and how to pick one you can defend in a revenue meeting.
Read articleWhy Your Google Ads ROAS Is a Lie (And What to Look At Instead)
Platform-reported ROAS overclaims by 30–60%. Here's how to calculate the only number that actually predicts whether your ads are making you money: blended ROAS.
Read articleThe $15,000 Mistake: What Happens When You Don't Know Your True CAC
Most small businesses calculate customer acquisition cost using leads instead of customers — and the gap can be 10x. Here's how to fix it before you scale a broken funnel.
Read article