What is the importance of test-and-learn approach in data-driven marketing?

The test-and-learn approach is the 'cheat code' for effective marketing as it allows brands to determine what truly works in their specific context. Using A/B test methodology, marketers can allocate 10-20% of their budget to testing because what works for brand A may not work for brand B, even within the same category or industry. This approach becomes particularly powerful when combined with first-party data (which Suchi calls 'the king') and robust measurement systems. By systematically testing across different targeting methods—contextual, audience, and native formats—brands can adapt their strategies in real-time based on actual performance data. As audience behaviors continuously change and seasonal factors like Diwali affect campaign effectiveness, this methodology enables marketers to pivot quickly for optimal results.