Data-Driven Strategies for Maximizing B2B Lead Generation and Engagement

Data is the foundation of any effective lead generation and engagement strategy. A study by Aberdeen found that companies that use predictive analytics in their marketing efforts see a 2.9x higher average click-through rate than those that don't.

Here are a few ways B2B marketers can use data to improve their efforts:

• Start with data quality. Make sure that your data is accurate, up-to-date, and complete, so you can trust the insights and decisions that you're making.
• Use customer relationship management (CRM) tools to organise and manage your data effectively. This will allow you to see a holistic view of each customer or prospect, and to track interactions across channels and touchpoints.
• Use predictive analytics to identify patterns and trends in your data, allowing you to make data-driven decisions and optimize your campaigns for better results.
• Finally, make sure that your data is integrated across all channels and platforms. This will allow you to see a full picture of your customers' behavior and preferences, and to create more effective messaging and content.

By using data to inform their lead generation and engagement strategies, B2B marketers can improve the effectiveness of their efforts and drive better results for their business.

Ensuring you are using quality and relevant data (especially intent data) is vital for successful marketing execution, conversion, and pipeline attribution. Read more about what good intent data looks like and the pitfalls to avoid: