Customer marketing strategies that emphasize existing customers are gradually becoming more common. However, the more support you give to customers, the greater the burden on your sales representatives, so there are naturally limits to personalization. This is a difficult marketing strategy that faces the dilemma of rising costs along with sales.
The emergence of generative AI offers an opportunity to break this stalemate, automatically generating hyper-personalized content without placing a significant additional burden on human resources . Customers are willing to give up crucial "zero-party data" such as their business needs, product information, and service details in order to get the content they want.
The evolution of generative AI technology will empower average marketers with the skills of advanced analysts and data specialists, and as AI itself continues to evolve, it will likely be able to handle more challenging use cases in the future.
AI that can only perform simple tasks has low market value, but if AI can perform advanced analysis and generate content at the same level as humans, it will be possible to pay AI a high salary (actually a subscription fee). In other words, if companies that use AI sell high-value solutions, AI will be able to continuously upskill, and ultimately the results will be fed back to the end customer, creating a virtuous cycle.
Currently , AI is not too expensive and has achieved a reasonable level of accuracy for practical use. It is neither too late nor too early to start using it, but rather the “just right” time, in the Goldilocks zone.
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