Leveraging the Power of Data Modeling & Analytics for Better Marketing Performance

May 9

As the digital marketing landscape is constantly evolving, marketers face the challenge of getting and staying ahead. Companies that use data-driven marketing are six times more likely to be profitable year-over-year and ten times more likely to achieve double-digit growth. Additionally, 73% of marketers say that data-driven decision-making has improved their overall marketing performance.

So how can you transform your marketing team into an unstoppable data-driven decision-making force? The key to success lies in understanding your customers' behaviors and preferences. That's where data modeling and analytics come in.

What is Data Modeling and Analytics?

This refers to the process of using data to create mathematical models and statistical analyses to better understand customer behavior or market trends. It involves collecting, analyzing, and interpreting large amounts of data.

Companies often have access to various data sets including customer demographics, purchase history, website traffic, social media engagement, and email campaign performance. However, without the right tools and expertise, the meaning of this data can be elusive.

By using data modeling techniques, it is possible to identify patterns and relationships that might not be immediately apparent. This information can be used to make informed decisions about targeting specific audiences, optimizing marketing campaigns, and improving overall business performance. Additionally, data modeling enables marketers to forecast future trends and make data-driven predictions, giving them a competitive advantage in their industry.

How LBDigital Can Help

With the addition of Data Scientist Rahmi Alagoz to our team, we're excited to announce the launch of our new Data Modeling & Analytics services. These include Advanced Customer Segmentation, A/B Testing Models, Customer Churn Analysis, Lookalike Modeling, Predictive Analytics, and Business Intelligence Reports.

Rahmi’s expertise lies in creating predictive models using various machine learning algorithms, such as O.L.S. regressions, decision trees, support vector machines, and neural networks. He also has experience working with various programming languages such as Python, R, SQL, and MongoDB, not to mention a solid understanding of big data technologies like Hadoop, Spark, and NoSQL databases.

With our newly launched Data Modeling & Analytics services, we can help you to:

Understand your customers' behavior and preferences in order to deliver more relevant experiences
Expand your reach without sacrificing campaign performance
Identify new highly-engaged audiences to target
Optimize your campaigns for better performance
Reduce churn and retain more customers
Forecast future events or behaviors
Visualize your data in a way that makes sense for your business

Find out more >