Machine Learning: 5 Ways It Has Transformed Email Marketing

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Machine learning is a method of data analysis that automates the building of analytical models. By using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without having to explicitly program where to look.

While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to large volumes of data, repeatedly and at high speed, is a recent development.

The resurgence of interest in machine learning is due to the same factors that have made data mining (Big Data) and Bayesian analysis more popular than ever. There are now massive volumes of data available, and computational processing power never seen before, coupled with the fact that data storage itself is more affordable for businesses.

5 machine learning innovations in email marketing
The unstoppable advance of technology in this area japan telegram data given rise to numerous innovations, some of which are especially relevant to the field of email marketing:

Email Subject Line Optimization – Automation tools like Touchstone or Phrasee help marketers choose the best phrases with minimal investment of testing time.
Sending time optimization . These types of services predict which days of the week and time slots are best for reaching the largest number of recipients, based on actual email opening data.
Copy optimization. Although it may seem like a creative aspect that is impossible to evaluate automatically, the body of the message is also susceptible to optimization thanks to tools such as Pesado Go that use algorithms to detect which language is especially persuasive.
Newsletter creation. There are services like Alchemy Worx that create newsletters with 100% personalized content for their recipients, based on their click/opening behavior.
Real-time content optimization. Machine learning technologies are already being used to modify the content offered to each user, in a personalized way, as they interact with the website.
All of these innovations mean that marketers can now obtain high-value predictions that can guide better decisions and intelligent actions in real time without human intervention.

Although companies should have started implementing the new regulations two years ago, today only 10% of companies in Spain comply with the General Data Protection Regulation or GDPR.

As we have already explained in other posts , the GDPR regulates the storage, collection and use of personal data . The concepts referred to are name, email, information from cookies or IP address.

Only 25% of companies have plans that can ensure compliance with the new legal framework in May 2018, meaning that 65% of Spanish companies do not have a clear strategy to comply with the new legal framework.

The main reasons why a higher percentage of companies do not comply with the legislation are lack of knowledge, limited resources, conflicting priorities and lack of budget. Most companies do not know what data they need to protect , what security measures they need to implement or how they need to manage the data.

One of the big questions is how the GDPR will affect the cloud , as some organizations fear adding an additional, uncontrollable risk factor. Despite this, 53% of companies will opt to use the cloud system without taking into account the possible impact of the regulation.

Other companies will influence their cloud strategy by migrating their services to Spanish providers or by incorporating their own data center.

GDPR compliance does not allow users of cloud services to outsource their responsibilities to a service provider, but does not exempt them from implementing the necessary security measures and communicating this to their customers.