"I'm doing competitive analysis, but it's not leading to any action...'
"Even after looking at the data, I'm still not sure which measures will work...'

This is a serious challenge facing many marketers who are under pressure to expand their market share. This uncertainty leads to subjective opinions and strategy meetings where data is not utilized, resulting in wasted budgets, missed opportunities, and organizational fatigue. As a result, marketers are unable to maintain accountability to management and find it difficult to lead their teams with confidence.
This document explains practical approaches to break away from this "analysis-only" situation and gain market share from competitors.
First, the book presents three steps for structuring a "winning hypothesis" based on elements such as the 4Ps and brand assets. It then goes on to introduce an analytical approach for scientifically verifying that hypothesis using consumer data and identifying the probability of acquiring customers from competitors (i.e., switching rate). This book will help you turn subjective "hypothesis" into objective "conviction" and directly link it to results.

Recommended for those who have questions such as

  • Those who are struggling to translate the results of their competitive analysis into concrete action plans
  • Marketing leaders who want to present persuasive, data-driven strategies to management and other departments
  • Those who want to move away from subjective debates such as "quality or price" and prioritize objectively
  • Managers are uncertain about the results of their initiatives due to vague briefings to agents.
  • Business managers who want to maximize marketing ROI and commit to achieving market share expansion

Material content

  • Why isn't data being used to inform strategy?
  • 3 steps to structure your winning strategy
  • Which hypothesis will win? Difficulty in determining effectiveness and priority
  • Turning hypotheses into "certainty" and applying "science" to the probability of success of strategies
  • A consumer goods manufacturer's case study that led to a change in the decision-making process
  • Data gives marketing leaders confidence and influence

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