How to Use Data to Create Personalised Marketing Campaigns

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How to Use Data to Create Personalised Marketing Campaigns

Personalised marketing has increased exponentially over the past couple of years. Customers now see ads that are tailored for them. Retailers are creating one-on-one personal bonds with their customers, gaining a competitive edge through customer loyalty. Thanks to data analytics, we are able to analyse and target each individual customer.

Customer data is generated at various data points, such as browsing patterns, activity on social media, product purchases, purchasing history, and point of sale. By analysing this data, you have a pattern to tailor your marketing strategies and personalisation.

What Can You Gain from Data Analytics?

Analysing the wealth of data available is very beneficial to your marketing campaign, enabling you to personalise your messages, tailored to your unique customers.

How to Use Data to Create Personalised Marketing Campaigns
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Data analytics offers the following benefits:

What Type of Customer Data Should You Be Collecting?

Identifying what customer data to collect is an important step to creating personalised marketing campaigns. There are different types of data you can collect on your customers, not all of which is relevant to your marketing goals.

Demographic Data

Demographic data, such as gender, age, and income helps you understand your customers and their purchasing power. You can also track their website behaviour, such as the pages they visit the most, along with their dwell time to identify areas of interest and improve user experience (UX).

Purchase History

Purchasing history data helps you identify buying preferences and patterns, enabling you to create targeted marketing campaigns based on past purchases. 

Website Behaviour and Engagement

By analysing your website behaviour and engagement you gather valuable insights about your customers. You can track how they interact with your website, identifying the most popular pages, along with how long visitors spend on each page, and what products or services are viewed the most. An effective web tool for website behaviour and engagement is Google Analytics. A free tool that provides detailed reports on user behaviour and engagement, helping you identify what areas of your site need improvement.

Social Media Interactions

You can track your customer interactions on social media, helping you learn about your users behaviour and engagement. It helps you identify what type of content is popular with your audience.

Data Visualisation Tools Helps to Analyse and Interpret Data

By using data visualisation tools to analyse and interpret data you gain insights into your customers, helping you create personalised marketing campaigns. Data visualisation helps you present data in a format that is easy to understand, such as heat maps, graphs, and charts. 

Conclusion

Creating personalised marketing campaigns based on user data is an important step to increasing engagement and sales. By understanding your customers behaviours, preferences, and needs, you can create highly personalised marketing campaigns that speak directly to your customers interests and motivations. Do you want to find out more? Contact Genie Crawl today.

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