The click is a powerful and all-important tool in the marketing toolkit, as it’s a really well-defined metric that allows you to gauge the effectiveness of your marketing efforts. However, going forward, marketing automation is going to need permission marketing in order to adequately fill the feed for your machine.

Permission Marketing at the Core of Machine Learning

If you’re reading this site on a device that isn’t programmed to allow access to the content of this post, then you’ve probably been setting off alerts in your machine that go off every once in a while. Today’s machines constantly monitor the feeds that they receive via the cloud.

The machines may be locked at times, but they are constantly working toward automation. And automation, in turn, needs permission to move forward.

In order to use the machine for marketing automation, the natural and critical steps are to align the machine with permission to move forward with the purpose of marketing.

From a marketing automation perspective, permission marketing is about letting people bring their own value into the marketing automation feed with actions like adding content or taking action on an ad.

When it comes to the machine that’s powering the marketing feed, permission marketing is at the core of machine learning. Machine learning is about how people behave in and around your content, and it’s already happening within marketing automation.

Machine Learning is Adaptive and Plausible

Understanding the personality and the context of users is a skill that machine learning is making very, very easy. The opportunities for marketers are limitless when it comes to their marketing efforts, and machine learning gives marketers lots of new insights into user behavior. Machine learning is useful in that it’s adaptive and plausible.

Here are some of the ways that machine learning will help:

Machine learning will learn and adjust automatically as you give more actionable information to it. When asked a question, machine learning will understand what you want it to do, and what information you’re giving it. If machine learning wants to flag that a user is trying to contact you to get into your content, it’ll be sure to flag that in the back end. It’ll also do all of this in order to learn from each instance. In that case, machine learning will adjust the content based on what you tell it. Machine learning will analyze what it’s learning from users, and it will start to extract predictive information from this. Machine learning will keep learning through its interactions with users, and it will be able to identify patterns that will help it make predictions. Machine learning will be using external, third-party data to inform its predictions.

Machine learning helps us become less ambiguous. Our jobs are becoming more and more sophisticated. Automation is changing our role in the world, and machine learning offers a key piece of the puzzle. Machine learning is often overlooked in the marketing automation world, but it can play a key role in machine learning. Machines that have read data use machine learning to increase productivity, and machine learning is helping marketing automation become more intelligent.