Landing Page Optimization: A Repeatable Testing Method
Landing page optimization as a method: diagnose with the page funnel, prioritize with ICE, size each test to your traffic and read the result honestly.
Complete, honest guides on CRO, A/B testing and experimentation: statistics, sample size, test design and what to do with the results. No fluff.
Landing page optimization as a method: diagnose with the page funnel, prioritize with ICE, size each test to your traffic and read the result honestly.
A budget experiment measures a curve, not a winner. Marginal return versus average ROI, why two arms never find the optimum, and the cost in power.
Budget pacing: a daily cap cuts the hours, not just the spend. How a throttled arm flips the verdict and why user level randomization does not fix it.
Budget reallocation cannot be tested channel by channel. Why the unit of analysis is the portfolio, what average CPA hides and what it costs to measure.
Your attribution model changes how many conversions an A/B test counts. Why fractional credit breaks the proportion test, and what to count instead.
Marketing mix modeling has 156 data points and 60 parameters. How an experiment becomes an ROI prior, with the adjustment formulas and a worked example.
Smart Bidding recalibrates while your A/B test runs. How the learning period dilutes the effect, its cost in power, and three designs that survive.
Ad fatigue: why the frequency curve in your dashboard is not causal, what field data shows, and how to test a frequency cap with a real experiment.
Ad creative testing: why the creative picks its own audience, why click-through rate misleads, and which metric can actually carry the decision.