Marketing Software and Tools in 2017 Sure to Change Your Life

2017 is the year that many marketing experts expect the mobile marketplace to fully blossom, and Millennials will officially become the most important sector of customer to market to. This will change the entire landscape of doing business across industries, and your company needs to be ready for the new marketing trends that will surely pop up.

Here are a few of the top marketing software tools that are coming in 2017 to help you make the transition into a fully responsive, real-time company.

GetResponse Automation Tool

Coming out of beta in late 2016, the GetResponse automation tool will be fully ready by 2017 to help businesses of all sizes more effectively create scaled email campaigns without needing to overload on manpower. The company boasts that it was able to build over 13,000 separate campaigns during its testing period, with more than 6 million total emails sent out by the program.

The tool is directed at the SMB market, promising them enterprise level functionality, consolidating the best features of more expensive automation programs into a single package.

The MacBook Pro Touch Bar’s T1 Chip

The major upgrade for the MacBook Pro in 2017 is the Touch Bar, which looks like it is just a commonly used feature set moved to the front of the keyboard. It is actually much more robust than that, with an entirely new OS now fully integrated into the MacBook. The Touch Bar is based on the same technology that currently runs the WatchOS, but on a new chip that the company refers to as the T1. The T1 chip adds a level of security, more accessible gates to the touch ID center, and even incorporation of the FaceTime camera to create a more immersive experience. 2017 should see even more of an expansion into the world of touch and sensory experience to control aspects of computing.

New Uses of Bitly

Although Bitly is hardly a new marketing program for 2017, the uses for its power will expand so fast in 2017 that it may as well be new. Market analytics are catching up to the capabilities of the program so that the metrics that it captures automatically are now able to be used to analyze the effectiveness of email and social campaigns.

Predictive Analysis Tools

H2O is a new predictive analysis tool that is catching on. Its open source model ensures that it will be at a loss for upgrades in the near future, and its ability to move big data from SQL, NoSQL, S3 and HDFS ensures that it will be useful to businesses of any scale. H2O flow is a tool that allows for an automated interpretation of uncompressed data, requiring no manpower to build models and suggest predictions as well as compare any conflicting predictions to each other.

Scientists who wish to cultivate a more modular mindset when predicting trends from data might want to consider KNIME. With an extremely addictive and intuitive UI, KNIME provides its users with more than 1,000 built-in analytic routines for both univariate and multivariate statistics as well as social media and network analysis.

Other predictive analysis tools that will be used extensively in 2017 include HP Haven, Actian Vortex Express and PredictionIO.

EveryoneSocial

Employees within large companies can take advantage of their sheer volume of employees to populate an employee social sharing program to various ends. As adoption rates of top companies for programs like EveryoneSocial continue to rise, implementing employee social sharing as a normal part of company culture will probably become the norm in 2017.

Machine Learning

Siri and Kinect are only the beginning of machine learning. Conferences such as the MDLM and ICML are created specifically to enhance the tech community’s knowledge of current machine learning trends and to empower breakthroughs. 2017 will likely see an expansion of machine learning into the world of commercial VR and augmented reality.

Tools that are using the technology today include Nuance Mix, a natural language processing tool, and Microsoft HoloLens, a tool that is currently being tapped as a central component of remote expert systems. In the near future, many companies will be able to give semi skilled workers the ability to perform expert tasks using just a headset of an expert piping in instructions to the worker on the ground.