Whether you’re blogging, publishing a video, or sharing an image, you are contributing to the 2.5 quintillion bytes of data that is made everyday!
The old method of publishing tons of content isn’t as effective as it used to be. Many more are publishing great content nowadays to the point that it’s becoming increasingly difficult to be heard over all that digital noise.
It’s time to blow off that dust and apply a shiny new coat of machine learning polish to your content strategy.
What is Machine Learning?
As a sub-set of artificial intelligence, machine learning occurs when computer algorithms are programmed to learn from the data and information it inputs. The outputs of these machines differ each time because they are able to change their resulting actions from studying patterns, trends, and data-points.
The more information that is fed in, the more accurate and personalized the results are.
You can see machine learning in technologies that might surprise you. Pre-populating search engines, self-driving cars, spam filtering, optical character recognition, and even in a game of Super Mario.
Creating a new and refocused content marketing strategy
We’re all drowning in content. There is too much to read, scroll through, and find out what’s really useful. The consequence of this is decreasing engagement, as seen in TrackMaven’s survey.
In your role as a content marketer, you track your blog and social media analytics to understand trends. These trends then help you figure out the direction of your blog and social media efforts.
With so much information do you often find yourself asking these questions with your marketing tools?
- Is all this information necessary? Which metrics actually matter?
- What’s the scale of data that is actually being studied?
- Will this tool tell me exactly what I need to do without too much hassle?
- How will this information contribute to the future success of my content marketing efforts?
- How long do I have to wait for the results to show?
By using machine learning tools, you will be able to easily shift your content marketing strategy to be more effective and useful for your audience.
How to create personalized content for your audience using machine learning tools
To increase job efficiency, machine learning tools are able to reduce the time it takes to manually track and decipher your data into effective actionable tasks that will lead to predicted success.
Refreshing your content strategy now entails creating personalized content that is predicted to give you engagement well-before you trial-and-error blog topics.
It’s time to break out that polish.
Here are some intelligent marketing tools that will save you time, and provide you with an even more accurate and adaptive way to create and share content that connects:
Making and sharing blog content
The machine learning aspect to the Atomic Reach platform lies within its ability to forecast when you should share articles, and which aspects of your blog actually matter to your reader, even if your audience’s engagement patterns start to shift.
Breaking it down to it’s components:
- Insights shows you which audience level gives you the most engagement and how much more…
