The rise of generative AI in Demand Gen

Generative AI is revolutionizing all areas of society, and marketing is one of the most important. As technology continues to advance, its role in all strategies becomes more present.

In recent months, generative AI is also taking center stage in Demand Gen. In particular, generative AI is revolutionizing the marketing industry by automating tasks and processes that were previously time-consuming and manual.

Companies are already using generative AI in a Demand Gen strategy and different applications are already beginning to become popular.

How to use generative AI in Demand Gen?
Outside of marketing, one of the areas where generative AI is growing the most is sales. Various studies show that almost two-thirds (61%) of salespeople already use AI in their operations.

Marketing and sales are the disciplines most interested in generative AI and also in demand generation .

Some ways generative AI is used in demand generation include:

1.- Automated lead scoring
Automated lead scoring uses machine learning algorithms to evaluate and prioritize leads based on a variety of factors, including their online behavior, content interactions, and demographics.

It allows sales and marketing teams to focus their efforts on leads that are most likely to convert, saving time and resources. This improves efficiency and increases conversion rates.

2- Creating custom content
Generative AI can create content tailored to the needs and preferences of specific audiences. It uses data about user behavior and their interaction history to produce relevant and engaging messages.

It enables content to be generated at scale without sacrificing personalization, which improves customer experience and increases the likelihood of conversion. It also frees up time for marketing teams to focus on more creative strategies.

3.- Hyperindividualized messaging
Hyper-personalized messaging refers to creating extremely personalized messages that go beyond traditional segmentation. It uses real-time data and predictive analytics to send targeted messages to each customer at the right time.

It significantly improves the relevance and resonance of communications, which can increase response rates and customer loyalty. Advanced personalization can also reduce unsubscribe rates and increase marketing ROI.

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