Prove content marketing success with content analytics

Numbers (typically) don’t lie.

Assessing the performance of a content marketing strategy may seem daunting—that’s relatable. Content analytics—also called data analytics—have a steep learning curve but consistently provide valuable insights. Content marketers who use analytics usually love it—that’s because content analytics make their jobs easier.

What is content analytics?

Content or data analytics is the practice of gathering, organizing, analyzing, and reporting the relevant data for a content strategy. You can think of content analytics as an efficient way to learn more about what’s working and not working for your content marketing strategy.

What’s the full scope of content analytics? Check it out—

  • Analytics for owned websites
  • Analytics for social media
  • SEO analytics
  • Competitor content analytics

How to analyze your marketing content

Most of the work required for content analytics occurs at the start of the process—that can make getting started feel intimidating. But you can do this! 💪
The process to analyze marketing content goes like this—

1- Collect data: The first step is to collect the relevant data. Collecting data from multiple sources can provide unique insights.

2- Organize the data: Content marketers can create integrated dashboards to organize the content marketing data that they collect.

3- Build custom reports: Data analytics dashboards enable content marketers to create custom data analytics reports. The reports can include data from many platforms and channels.

4- Automate reporting: Content marketers can automate data analytics reporting using settings in reporting dashboards.

5- Analyze the results: Content marketers use the reports they receive to analyze the data. The analysis is framed by the goals of the content strategy and priorities of the organization.

6- Summarize the results: Your content marketer’s next step is to summarize the analytical results into a digestible format, like a presentation or email.

7- Make data-driven recommendations: Your content marketer uses her analysis to make data-driven recommendations for decision makers to consider.

8- Adjust the content strategy: The content strategy can be adjusted to address any weaknesses and better capitalize on areas of strength.

Why your crypto or web3 platform needs content analytics

You may already understand why a technical product on the innovation frontier needs content marketing. Let’s express the need for content analytics in meme form—



Using data analytics is one of the best ways to succeed at content marketing. Why? Because with the right analytics, you can—

  • Learn more about your target audience
  • Learn more about the activity on your digital media properties
  • Calculate the ROI of your content marketing strategy3
  • Get real-time actionable insights
  • Understand what your audience likes, loves, and hates
  • Identify emerging trends and user preferences
  • Use data to minimize content marketing guesswork

How to conduct content analytics efficiently

Leveraging data analytics for your content marketing strategy doesn’t have to require lots of time. Let’s reveal some tips and tricks for using content analytics efficiently—

  • Only collect data that’s relevant to the content strategy’s priorities
  • Use the right mix of tools and software to meet your data analytics needs
  • Leverage automation tools whenever possible
  • Focus your reporting on key metrics and indicators
  • Use predictive analytics to forecast future trends

Learn more about content analytics

Is a content analytics strategy right for your organization? Connect with Allie to book a discovery call—she’s got a wild urge to analyze reams of content marketing data on your behalf.