In today’s fast-paced business world, data is a clue aspect. As companies strive to reach their target audience and stand out in a crowded marketplace, they are turning to data-driven marketing to gain a competitive edge.
By analyzing customer data and using it to inform their marketing decisions, companies are able to deliver more personalized, targeted, and effective marketing campaigns.
Data-driven marketing has become increasingly popular in recent years as businesses look to increase customer engagement and ROI. Studies commissioned by Google found that successful companies prioritize a data-driven marketing approach. The approach allows some businesses to enjoy up to 30% in cost efficiency savings and a 20% increase in revenue.
With that in mind, let’s explore the current data-driven marketing trends, strategies for using them, and how you can obtain relevant data for your own data-driven strategy.
What Is Data-Driven Marketing?
Data-driven marketing involves using data to inform marketing decisions and is a powerful strategy for businesses seeking to optimize their marketing efforts.
More precisely, the main areas of data-driven marketing are collecting, analyzing, and utilizing data to create targeted and personalized marketing campaigns. The primary purpose of data analytics is to gain insights into customer behavior, preferences, and interests.
By collecting and analyzing data from various sources such as website traffic, social media, customer feedback, and other channels, companies can gain a deeper understanding of their customers’ needs, preferences, and behaviors.
Data types – The Power of Personalization
There are several different types of data that can be used in data-driven marketing. The main include:
- Demographic data – reflects the information about a customer’s age, gender, income, and other characteristics;
- Behavioral data – related to information about a customer’s past interactions with a brand, such as purchase history and website activity;
- Psychographic data – focus on information regarding the customer’s values, beliefs, and attitudes.
Utilizing different types of data is an approach that your marketing team can use to create highly targeted and personalized marketing campaigns that resonate with your audience.
For example, you can use behavioral data to send personalized product recommendations to customers based on their past purchase history. Similarly, you could use demographic data to create targeted ad campaigns for specific age groups or genders.
Nowadays, data-driven marketing is an essential approach for businesses that want to succeed in a highly competitive market. There are several key trends and strategies that businesses can implement to make better use of this approach.
Keep on reading to learn more about the highest-converting data-driven marketing trends.
Key takeaways
Data-driven marketing is a strategy that uses data to inform and personalize marketing efforts;
Popular current data-driven marketing trends include the use of omnichannel marketing, marketing automation, video marketing, account-based marketing, and personalization;
The best practices in data-driven marketing include creating targeted campaigns, personalizing customer experiences, and using data to optimize marketing campaigns.
How Data-Driven Marketing Became the Standard
Data-driven marketing has become the standard approach to marketing for many businesses. However, it wasn’t always this way. In the past, marketing campaigns were often based on intuition and guesswork rather than data.
Yet, as technology and data collection methods improved, businesses began to see the value of data-driven marketing. It took only a short amount of time for the approach to become widespread.
The development of the data-driven approach
The rise of digital marketing and the availability of customer data has played a major role in the adoption of data-driven marketing. Similarly, the availability of tools and technologies has made it more accessible to businesses of all sizes.
However, there were still barriers to adoption, such as the need for specialized skills and knowledge. To address this, many businesses decided to invest in data talent and training programs such as Oxford’s Data Collection Techniques.
Today, customer data allows companies to create targeted and personalized campaigns that deliver results. By staying up to date with the latest trends and techniques, you can continue to improve your marketing strategies and stay ahead of the competition.
What Are the Current Data-Driven Marketing Trends?
When developing your marketing strategy, staying a step ahead of the competition can mean the difference between viral success and stagnation. With that in mind, here are the most popular data-driven marketing trends that will ensure your campaigns bring results.
1. Marketing Automation
Marketing automation is one of the most popular trends in data-driven marketing. Automation can help businesses streamline their efforts, enabling them to create targeted campaigns.
One example of marketing automation in action is email marketing campaigns. With automated software, businesses can create and send targeted emails based on customer behavior and preferences, such as previous purchases or browsing history. This can lead to higher open rates, click-through rates, and of course, more conversions.
Clearly, automation is a trend that is likely to continue developing in data-driven marketing strategies. The report by Grand View Research states that the global marketing automation market is expected to reach $8.42 billion by 2027.
2. Personalization
In data-driven marketing, personalization is essential for increasing customer engagement and loyalty. By collecting data on customer preferences and behaviors, businesses can tailor messaging, product recommendations, promotions, and more to create personalized experiences.
Customer data forms the foundation for these efforts, allowing companies to better understand their audience and develop more effective marketing strategies.
A great example of personalization in data-driven marketing is Netflix’s recommendation engine. It uses data such as a user’s viewing history, time spent on each title, and ratings to personalize the user experience by recommending titles that they are most likely to enjoy.
2. Video Marketing
Video content is taking the world by storm, with potential customers increasingly preferring to watch videos over reading text. According to a report by HubSpot, 54% of consumers want to see more video content from brands they support.
Additionally, the application of video marketing strategies tends to increase conversion rates. Businesses report a 20% increase in sales when using video content in their marketing.
3. Omnichannel Marketing
Omnichannel marketing is a data-driven trend that emphasizes the importance of creating a seamless, integrated customer experience across all channels, including social media, email, website, mobile, and even in-store. By using data to better understand customer behavior and preferences, businesses can tailor their messaging and interactions to create a consistent user experience across all platforms.
Adopting an omnichannel marketing strategy can be a game-changer for businesses, helping to increase engagement and drive conversions. With the help of customer relationship management (CRM) programs and other tools, marketers can track data and maintain a strong brand image on multiple platforms.
However, to truly succeed in omnichannel marketing, businesses must be prepared to adapt to changing consumer behaviors and preferences and be willing to invest in the technology and resources needed to support a truly integrated customer experience.
4. Account-based Marketing
Another popular trend in the data-driven approach is account-based marketing (ABM). ABM is generally defined as a B2B marketing strategy where companies identify high-value target accounts and create personalized campaigns tailored to their specific needs of them.
Data is essential in account-based marketing because it enables B2B marketers to identify the most valuable accounts and target them with personalized content. ABM focuses on building relationships with specific high-value accounts, and data helps marketers gain a deeper understanding of those accounts and their needs.
Benefits of Data-Driven Marketing
Data-driven marketing is growing in popularity among businesses for a good reason. Utilizing data can provide many benefits, including increased customer satisfaction, improved marketing efficiency, and higher ROI. Let’s take a closer look.
Improved targeting
Leveraging customer data allows businesses to create targeted and personalized marketing campaigns that engage their desired market. Data-driven marketing is all about making informed decisions based on data. Businesses use data to adjust their marketing strategies, instead of relying on intuition or assumptions.
Better customer experience
Data-driven marketing can improve the customer experience by delivering relevant content offered at the right time. Showing the users content that they are truly interested in leads to higher customer satisfaction and loyalty.
Greater marketing ROI
Another benefit is that data-driven marketing can lead to higher ROI by enabling businesses to make data-informed decisions at key moments during marketing campaigns.
Strategies such as A/B testing can be used to make the most of your data. Testing different variables such as headlines, images, and calls to action, can help to optimize marketing campaigns and improve their performance for a greatly improved marketing ROI.
The Best Ways to Obtain Relevant Data
Customer data is at the heart of any data-driven marketing strategy. Here we want to list the most common sources and marketing tools which you can use to obtain it for your campaigns.
Website analytics
Website analytics can provide valuable insights into customer behavior, including pageviews, bounce rates, and click-through rates. Google Analytics and Open Web Analytics are popular tools to obtain this information.
Social media analytics
Social media analytics can produce insights into customer engagement, such as likes, shares, and comments. Using platforms such as Hootsuite and Sprout Social is a common way to obtain data from social media profiles.
Surveys
Surveys are useful for obtaining direct feedback from customers, enabling companies to identify customer needs and preferences.
While the tools for surveys are not as commonly applied as some of the other applications listed in this section, they are just as useful. SurveyMonkey and Typeform often help to obtain survey data.
Customer Relationship Management (CRM)
CRM data can provide businesses with insights into customer behavior, preferences, and interactions with the business. Some of the most popular CRM software solutions include HubSpot, Salesforce, and Zoho.
Best Practices in Data-Driven Marketing
Collecting and analyzing customer data is only a part of a successful marketing strategy. To implement the findings from this data, companies usually make use of different marketing strategies. Here we would like to list a few examples of such strategies to implement.
1. Focus on targeting
One of the main benefits of having customer data is the ability to create targeted campaigns that are more likely to be successful with specific customer segments. By tailoring marketing efforts to customer needs and preferences, businesses can increase engagement and ROI.
2. Personalizing customer experiences
Personalization is key in data-driven marketing. Customer data should be used to create personalized experiences, such as messages that are addressed to different customers.
A good approach is to use storytelling to make your marketing efforts more compelling. Using anecdotes, metaphors, and examples helps to illustrate your point and make it more relatable to your audience. Personalization is a long-known strategy that helps to increase customer engagement and customer loyalty.
3. Using data to optimize marketing campaigns
Data is at the core of data-driven marketing. It gives marketers insights into the needs and desires of customers, allowing them to personalize outreach and improve marketing campaigns in a myriad of ways.
One of the best practices is to identify which marketing campaigns are most important and adjust their marketing strategies accordingly.
Then you will be able to enable an important feature of predictive analytics. Data-driven marketing makes predicting future trends possible based on currently collected and overviewed data.
The Future of Data-Driven Marketing Trends
It’s important to remember that trends in marketing can be quite fickle, and what worked yesterday may not work tomorrow. This is because consumer preferences and behaviors are constantly changing, and businesses need to adapt to stay relevant.
Data-driven marketing has helped businesses keep up with these changes by providing insights into consumer behavior and preferences. However, even these trends are subject to change as customer preferences evolve and technology advances.
As businesses continue to gather and analyze data, they will likely discover new trends and insights that will shape the future of marketing.
Therefore, it’s important to remain flexible and adaptable to keep up with the ever-changing landscape of data-driven marketing trends.
The Bottom Line
Data-driven marketing is a powerful approach that enables businesses to create more personalized and effective marketing campaigns. By leveraging customer data, businesses can gain insights into customer behavior and preferences, enabling them to create targeted and personalized strategies.
The current data-driven trends include AI, automation, personalization, and omnichannel marketing. You’ve learned what are the best practices in the current data-driven marketing, and you’ve got a few tips & tricks in your pocket.
Now you need to determine which one of the current data-driven marketing trends is the one you need to take for your company or organization.