Last-click attribution tells you Google closed the deal. In reality, the buyer read three blog posts, attended a webinar, and clicked an ad six weeks later. Your measurement infrastructure is lying to you. We fix it.

$92spent on acquisition for every $1 spent on conversion optimization

223%average ROI from conversion rate optimization programs

19xmore likely to be profitable when decisions are data-driven

Most analytics setups measure activity instead of outcomes. Pageviews, sessions, bounce rate. None of these tell you whether marketing is generating revenue. Attribution models that assign 100% credit to the last click before conversion actively mislead budget allocation by ignoring the touchpoints that created the demand in the first place.

The measurement infrastructure at most companies is broken in ways nobody notices until someone asks a hard question and nobody can answer it.

We fix the measurement layer from the ground up. Proper event tracking across web, app, and offline touchpoints: not just pageviews, but specific user actions tied to business intent. Pricing page visits. Demo requests. Feature comparisons. Return visits within a buying window. Attribution modeling that reflects how your buyers move through the funnel: multi-touch models (linear, time-decay, position-based, or algorithmic depending on data volume) that distribute credit fairly across the buying process. Conversion tracking that connects marketing activity to pipeline and closed revenue through CRM integration, not just form submissions counted in isolation.

The analytics infrastructure feeds optimization. A/B tests on landing pages, email subject lines, ad creative, and checkout flows, designed with statistical rigor (sample size calculations, significance thresholds, guardrail metrics) so results produce clear decisions, not ambiguous signals. Funnel analysis that pinpoints exactly where users drop off, with session recordings and heatmap data that explain why. Cohort analysis that reveals which acquisition channels produce customers that retain and expand versus customers that churn within 90 days.

Every test is designed, measured, and concluded with an action: ship the winner, iterate on the hypothesis, or move to a higher-impact test. We do not test for the sake of testing. We test to make decisions cheaper and faster than guessing. And to build an evidence base that compounds over time.