Understanding Data Marketing: 4 Effective Ways to Analyze Marketing Data

In today’s world, where the role of data is becoming increasingly important, marketing strategies now rely less on intuition or experience and more on analyzing customer behavior and market trends to create more precise strategies. Data marketing involves analyzing customer behavior patterns, market trends, and campaign performance to provide clear and actionable insights. With these insights, marketers can develop more efficient and personalized marketing strategies. In this post, we’ll explore the importance of data marketing and share effective methods for analyzing data.

Source: Freepik

1. The Importance of Data Marketing

Source: Freepik

Data marketing helps create more efficient marketing strategies by deeply analyzing customer and market behaviors and preferences. This enables marketers to better understand the actions of potential customers and maximize campaign performance. With the insights gained through data analysis, businesses can make more accurate decisions and implement personalized marketing strategies.

For example, let’s assume consumer feedback for a particular product indicates that it is "exceptionally convenient". Based on this data, future marketing campaigns could highlight the product’s convenience to capture consumer attention. By emphasizing specific strengths based on consumer response data, marketers can more effectively target the key factors that drive purchases.

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✅ Digital Marketing vs Data Marketing

Source: Freepik

While data marketing and digital marketing may seem similar, they differ in their goals and how they are applied.

• Digital Marketing
  Digital marketing refers to all marketing activities that take place online. It includes a wide range of strategies such as website optimization (SEO), search advertising (SEM), social media campaigns, and content marketing. The main goal is to increase brand awareness and expand touchpoints with customers. In simple terms, digital marketing focuses on "what to deliver through online channels."
• Data Marketing
  Data marketing actively uses data to maximize marketing efficiency. It involves not only online activity data but also a variety of other information, such as customer purchase history, survey results, and market data. By analyzing this comprehensive data, businesses can develop better strategies. Through a scientific, data-driven approach, data marketing helps improve marketing performance and enables more precise decision-making.

In short, digital marketing focuses on 'what to deliver through online channels', while data marketing focuses on 'how to optimize the overall marketing strategy using data'.

2. 4 Ways to Effectively Analyze Marketing Data

Source: Freepik

1) Data Segmentation

The first step is to properly segment your data. By categorizing data by campaign, customer type, or product, it becomes much easier to analyze. For example, if a particular campaign receives a strong response from the 20-30 age group, you can target this demographic more actively in your next marketing efforts. You can tailor your messaging tone to match the preferred channels of the 20-30 age group or create content that aligns with topics they are interested in, effectively capturing their attention. By using this detailed data, your targeting becomes more refined, which increases the likelihood of campaign success.

2) Data Integration and Management

Managing data in real-time is also crucial. By consolidating data from various channels in one place, you can prevent errors caused by data discrepancies. For instance, using an integrated management tool allows you to access the most up-to-date data and quickly adjust your strategies. Using cloud storage tools like Rakuten Drive can help manage your data more effectively. Not only does it securely store your data, but it also allows team members to access the same data in real time, making collaboration easier.

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3) Utilizing Data Visualization Tools

To make data more understandable, visualization is key. Tools like Tableau or Power BI allow you to convert data into graphs and charts, making complex numbers easier to interpret. For example, visualizing monthly sales data in a chart can quickly reveal which months were most effective for your campaigns.

4) AI-Based Analysis and Prediction

AI can make analysis and forecasting much easier. Advanced features of tools like Google Analytics or AI-based tools help predict campaign performance and optimize targeting strategies. For example, AI can analyze past data to predict future purchasing trends and suggest strategies accordingly.

3. Recommended Marketing Tools for Data Marketing

1) Customer Relationship Management (CRM) Tool

✅ Salesforce

Source: salesforce

Salesforce is one of the most widely used CRM tools in the industry, offering a wide range of features to systematically manage and analyze customer data. It supports various business functions such as marketing, sales, and customer support, and is offered as a SaaS (Software as a Service) solution, which means you can access it anytime, anywhere, as long as you have an internet connection. Salesforce allows you to centralize customer data, such as purchase patterns, inquiries, and preferred products, helping you maintain and improve relationships with your customers more effectively.

📍 What is CRM? Customer Data Management STEP 4

✅ HubSpot

Source: HubSpot

HubSpot is an all-in-one customer platform that offers a wide range of tools for marketing, sales, customer service, content management, operations, and e-commerce. It includes AI-powered features for lead generation, deal management, customer support, data management, content creation, and e-commerce, helping businesses provide a unified view of their customers and streamline operations across teams. With its intuitive interface and diverse features, HubSpot is an ideal marketing tool for small businesses and startups.

2) Marketing Automation Tools

✅ Marketo

Source: Adobe Marketo Enagage

Marketo is an automation platform suitable for both B2B and B2C marketing. It allows businesses to track customer behavior and automatically execute personalized marketing campaigns based on that data. With features like email marketing, lead management, and customer analytics, Marketo streamlines complex marketing tasks. It automates marketing workflows, measures campaign performance, and enhances operational efficiency, ultimately driving revenue growth.

✅ Pardot

Source: salesforce

Pardot is a B2B marketing automation tool that integrates seamlessly with Salesforce. Offering features such as lead generation, email marketing, and campaign performance tracking, Pardot helps B2B companies strengthen interactions with target customers and maximize the ROI of their marketing activities.

4. Efficient Marketing Data Management with Data Storage: Rakuten Drive!

The marketing tools introduced above focus on collecting and storing data online. However, to manage and store this data in a more organized way, a storage solution like Rakuten Drive can be incredibly useful. With Rakuten Drive, you can consolidate and securely store data from various marketing tools in one place, as well as back up local files to reduce the risk of losing critical information.

Additionally, Rakuten Drive offers a variety of customizable plans tailored to the volume and usage patterns of your business, helping you efficiently manage data while minimizing unnecessary costs. This makes it possible to operate storage at a lower cost compared to other cloud storage services. Companies can also adjust the service according to usage, maximizing long-term cost savings.

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Additionally, with Rakuten Drive, team members can open and edit Microsoft 365 documents such as PowerPoint, Word, and Excel in real-time. Multiple users can collaborate on the same document, sharing feedback and working together, allowing marketing data to be checked and managed collectively at any time. This ensures that data remains consistent and centralized, significantly improving team collaboration efficiency.

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Today, we've covered the importance of data marketing and explored 4 effective ways to analyze data. With data-driven marketing now being essential, it enables you to accurately understand customer behavior, develop personalized strategies, and optimize campaign performance. To securely store marketing data and collaborate efficiently, why not try using Rakuten Drive?