Remove Data-Driven PR Remove Infographics Remove Media Remove Storytelling
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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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Where Do You Find Data For PR Storytelling?

ImPRessions - Crenshaw Communications

Last week’s post covered the trend of data-driven storytelling in PR. But where does the data come from? But there are lots of other options for PR pros to source relevant data, and many are inexpensive and fairly easy to find. Data to power PR storytelling. Omnibus surveys.

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2024’s Top 5 PR Trends: What to Watch

Newsfile

Sissie Hsiao, Google AI-generated content AI-generated content is becoming increasingly popular in the PR industry as it generates content quickly and in large volumes. Writing copy for social media is the most popular use for AI, according to 64% of PR pros. Data-driven PR Data-driven PR uses analytics to guide PR strategies.

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Why CEOs Should Invest in PR Attribution and PR Measurement

Onclusive

1 Paid search, display ads, social media, online video advertising and email marketing will grow to 46% of advertising budgets 2. With digital convergence, PR and media communicators are no longer just the traditional writers of press releases or distributors of media pitches.

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The Top 5 Skills That Young (And All) Communicators Should Develop

Shift Communications

By understanding how to think about and interpret data, communicators need to be able to draw inferences and understand trends by providing insights based on what they observe. The digital age requires that the communicator be a better storyteller in a variety of media, and that includes visuals.

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What PR Professionals Should Have Learned at IBM World of Watson

Shift Communications

Manual media monitoring and reporting is time-consuming, expensive, and often a waste of resources and human talent. Our work is often undervalued because our industry fails at reporting data. Moreover, when we do actually have data worth reporting, most of us skimp on analysis. Humans can’t read a thousand releases a day.