Showing 9 of 100 Curve Your Enthusiasm
Marketing Experimentation: Why It’s the Gold Standard, Not the Only Standard
Learn why combining intentional experiments with agile modeling helps marketing teams gain reliable insights, align stakeholders, and drive measurable profitability.
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Incremental Revenue Forecasting: Turning $2 Million Into $6.9 Million
Understanding Diminishing Returns: 3 Ways to Optimize Your Marketing Spend and Boost ROI. Learn how to leverage diminishing return curves to accurately report performance, forecast future revenue, and optimize your overall marketing budget.
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Agile Marketing Mix Modeling: How to Read Price and Saturation Signals
Learn to optimize ad spend by combining agile marketing mix modeling with match market tests to effectively track media performance.
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Last-Click Attribution: How to Explain the Problem to Your Executive Team
Stop relying on misleading last-click data. Learn why this flawed accounting method ruins your marketing performance and how to improve.
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Average ROAS vs Marginal ROAS: Why the Last Dollar Is What Matters
Stop relying on misleading averages. By focusing on the return of your last dollar, you can optimize spend and maximize profits.
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MAPE in Marketing Mix Modeling: Why It’s the Wrong Metric to Chase
Don’t rely solely on MAPE metrics. Learn why quality marketing data and diminishing returns experiments are essential for better model inference.
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Marketing Channel Mix by Business Stage: How Many Channels Do You Need?
Learn how to scale your marketing channel mix from a single starting point to a diverse, multi-channel portfolio as you grow.
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Incrementality Testing and Diminishing Returns: Why One Point Isn’t Enough
Stop relying solely on incrementality tests; embrace diminishing returns to understand how scaling ad spend impacts your long-term revenue growth effectively.
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Cyber Week Budget Allocation: Are You Overfunding Cyber Monday?
Stop overfunding Cyber Monday; analyze last year’s data and current media trends to allocate your marketing budget effectively for Cyber Week.
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