Moment 125: The Marketing Professor: The Biggest Business Mistake You’re Probably Making Without Realising It
1. Prioritize Repeat Purchases First
Optimize repeat purchases before other marketing efforts, as retaining existing customers is the most fundamental step after acquisition and a key indicator of long-term success.
2. Optimize Conversion Before Brand
Ensure your product’s conversion process is flawless before investing heavily in advertising, as a bottleneck at the bottom of the funnel will only introduce more people to a disappointing experience, wasting money.
3. Balance Brand and Performance
Avoid a false dichotomy between brand building and performance marketing; both are crucial, with a suggested 60/40 budget split favoring mass media brand expenditure for long-term growth.
4. Invest in Broad Brand Building
Allocate resources to reach the 97% of potential customers not currently in the market, as this top-of-funnel investment makes bottom-of-funnel performance marketing efforts cheaper and more effective.
5. Build a Strong Brand for Advantage
Cultivate a powerful brand to gain benefits like customer forgiveness for mistakes, reduced price sensitivity, and the ability to command a premium, making business operations smoother and more resilient.
6. Measure Product Stickiness for Growth
Focus on whether customers return to old alternatives after using your product, as this indicates true conversion and predicts spectacular long-term growth for your offering.
7. Avoid Over-Quantification Bias
Resist the urge to solely focus on immediately quantifiable metrics; instead, invest in valuable but harder-to-measure aspects like engagement and loyalty, which drive long-term value.
8. Question Perfect Marketing Measurement
Recognize that striving for perfectly quantifiable marketing results is often a “false god” and can lead to neglecting valuable, harder-to-measure impacts that contribute significantly to brand success.
9. Limit Reliance on Past Data
Understand that big data, being historical, has limitations in predicting the future, especially after major disruptive events like a pandemic, requiring a more nuanced and forward-looking approach.