Content marketing analytics data based content strategy ideas

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Just like paid, social, or affiliate marketing, content marketing analytics activity may be influenced by data and analytics.

Content marketers aren't the target audience for most current guidelines on analytics. On the contrary, the examples and explanations are aimed at targeting optimization techniques and paid to acquire content marketing analytics specialists.



The Heart and Soul of content marketing analytics

The Heart and Soul of content marketing analytics

Any good content marketer should be able to address these business concerns using analytics, in my view,

 

Analytics tell us a lot about the efficacy of our existing content marketing activities.

 

    So what were the content marketing possibilities we’re missing as represented by analytics?

    How can we maximize our content marketing efforts in the short term?

    At what stages in the funnel are we dropping users?

    Can we do anything to seal these vulnerabilities (or collaborate with a team that can)?

    Do we find patterns or insights that tell us which sorts of content are most successful at acquiring high-value leads/customers?

    What can analytics offer me about fresh content marketing ideas and campaigns?

 

Typically, data must be able to drive your choices as a content marketer exactly as intended if you’re a hired marketer or SEO.

 

There’s no need for content to be detached from business measures, and utilizing data does not invalidate your capacity to employ creativity.

 

content marketing analytics: The Quantitative Stuff

In this part, we'll focus on Google Analytics, but you're free to utilize any other digital analytics platform you'd like.

 

I have even more experience with Analytics since it’s free and highly frequent, so I’ll write using an example:



How does content marketing analytics measure the success of content marketing?

How does content marketing analytics measure the success of content marketing?

 

As we addressed in the ROI of content, you do need to create the yard post for how well you are performing.

 To employ an overused but accurate adage, "what gets measured gets controlled," we'll go with it.

 

Analytics helps you to evaluate whether you are making meaningful progress towards your content objectives.

 

There is a distinction between measuring and analytics. A typical issue amongst old-school data analytics professionals.

Measurement is merely measuring that something must have occurred. Analytics is establishing a context and direction of the evaluation.

To put it another way, analytics aids in the process of making choices based on data.

 

Analytical data would inform me that the day before and the day following a piece of content had 100 views, respectively.

In the end, analytics should help you make smarter business choices.

Different types of content marketing analytics

Different types of content marketing analytics



Platform-specific analytics built right within the platform to aid in the analysis of social media postings

 

External tools, e.g. Nudge, to gain meaning across many different sorts of material

 

Other examples within the vast range of content analytics technologies include data/text mining, template matching, visualization, semantic analysis, neural networks, and complicated event processing, just to mention a few.

 

conclusion

An already lengthy blog article won't be able to cover all that needs to be. The point is, that content marketing analytics don't have to be a contradiction. Instead, you may learn to be a data-driven content marketer, which will help you develop your right brain.

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reference

blog.hubspot

giveitanudge



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