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How AI Can Help Your PR Strategy

Onclusive

A 2016 survey from Narrative Science found that 58 percent of enterprise business executives are already using predictive analytics within their organization. What this means for PR. Companies spend about $30 billion on PR per year, and executives rightfully demand to see a return on that investment.

Strategy 294
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PR and the Marketing Technology Skills Gap

Shift Communications

Keeping pace with the rate of change in marketing technology has become a full time job. Heck, just keeping up with the news is a challenge, never mind closing the gap on technological skill sets you need to execute effectively. So, how in this wave of ever changing technology do we keep our heads above water here at SHIFT?

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B2B Marketers: Even more data is coming, are you ready?

Shift Communications

The world seems awash in data with trends like IoT, wearables and big data dominating the headlines. For a B2B marketer, these headlines can feel very consumer oriented and likely not relevant. That approach, although understandable on the surface, misses a number of undercurrents that B2B marketers will start to encounter.

B2B 60
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Why PR Pros Need The New Google Analytics™ Demo Account

Shift Communications

The marketing and PR industry responded with a collective yawn. From our perspective as a Google Analytics™ Certified Partner, every marketing and PR professional should be jumping up and down with excitement. Larger companies and enterprises often have multiple Google Analytics accounts. Sales Pitches.

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How Data-Driven Storytelling Drives PR

ImPRessions - Crenshaw Communications

For many B2B technology brands, data is not only a business asset, but a PR tool. No one should underestimate the power of data for storytelling. The data is often derived inexpensively from behavior surveys or flash polls, or it may already exist within the company’s own research unit.

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The Best Way To Prepare For Artificial Intelligence In Public Relations

Beyond PR

The good news for comms pros: It will be a blend of both technology and human insight. Most experts suggest AI will augment that strategic thinking by synthesizing details the way marketing automation has done for other parts of the enterprise. While some in the profession loathe to hear it, it’s not far-fetched.

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{PR}edict: Predictive Analytics and the Future of PR, Part 5

Shift Communications

To execute predictive analytics efficiently and effectively, we need three classes of people in our organizations: Developers, to access the data and APIs that provide our data. Data scientists, to build predictive models from our data. Vice President, Marketing Technology. Christopher S.

Analytics 112