As the year comes to a close, we like to analyze the SHIFT archives to learn what content performed best. It’s important to take see what worked and what didn’t work to plan for the new year to come. Want to see how to analyze your own blog? Here’s how.

The best of Q3 2017 focused on data conferences, predictive analytics and best practices for career advancement.

What PR Professionals Learned At The Google Analytics™ Certified Partner Summit

This August, SHIFT and NATIONAL Public Relations (SHIFT’s parent company) represented the public relations world at the Measurement For Growth Google Analytics™ Certified Partner Summit.

Some of the big picture ideas we took away from the event were:

  • Analytics and measurement from the industry of public relations and marketing
  • Investing in machine learning and advanced statistics is important
  • Artificial intelligence is just as important to tech companies as they are PR agencies

Data is becoming more and more important to public relations and marketing, so jump on the bandwagon and become data-driven because the future is here.

So, You Want To Work In PR: A Tale From A Recent Grad

College students every year graduate and begin to look for their next big step, whether it is an internship, a job, graduate school or something completely different. This college graduate started his career here at SHIFT Communications and wanted to share his experience with others. He points out many tricks, tips and expectations in the industry to help others jump start their career in the public relations agency world.

{PR}edict: Predictive Analytics And The Future Of PR, Part 3

Predictive analytics is beneficial to building awareness and trust in public relations. Instead of guessing when to conduct the most aggressive PR campaigns, or scrambling to react to internal needs, predictive analytics enables PR professionals to bring real strategy to the table. This will help build the most thoughtful strategies, relevant tactics and timely execution to maximize the impact of your PR efforts.

In this blog post, we analyzed a common data source: search engine data, using services like Google AdWords™ or Google Analytics™ to give an example of predicting customer data. This data in particular was the most common organic search traffic on a personal blog. Pairing this with a machine learning software, we were able to predict a projection of what the trends of the next five years would be. Understand how you can do the same with your data.

Jordyn Danielson
Marketing Analyst 


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