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What is Data-Driven PR, Part 6: Analysis

Shift Communications

We’ve used the expression data-driven PR for quite some time now, but haven’t clearly defined it. What does data-driven PR mean? How do you know whether your public relations efforts are data-driven or not? To be data-driven is to make decisions with data first and foremost.

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What is Data-Driven PR, Part 7: Refinement

Shift Communications

We’ve used the expression data-driven PR for quite some time now, but haven’t clearly defined it. What does data-driven PR mean? How do you know whether your public relations efforts are data-driven or not? To be data-driven is to make decisions with data first and foremost.

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What PR Teams Love Right Now: Valentine’s Day Edition

ImPRessions - Crenshaw Communications

PR teams use data tools and platforms to glean patterns and insight from media coverage, measure audience engagement, and quantify campaign performance.

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What is Data-Driven PR, Part 8: Crafting the Pitch

Shift Communications

We’ve used the expression data-driven PR for quite some time now, but haven’t clearly defined it. What does data-driven PR mean? How do you know whether your public relations efforts are data-driven or not? To be data-driven is to make decisions with data first and foremost.

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6 PR Trends For Your Brand In Q4 And Beyond

The Hoyt Organization

As the PR industry’s worth grows, so do analytics and PR reporting technology. This has made measuring actionable KPIs such as web traffic easy, providing valuable data for PR strategies. In Q4 and beyond, data-driven PR will become commonplace.

Trends 89
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20 PR and Marketing Predictions for 2022

Sword and the Script

Professionals across the globe share analysis and perhaps, aspiration, in offering up PR and marketing predictions for 2022. To put it another way, predictions are equal parts analysis and aspiration. Data-driven PR. One of the big headlines for 2022 is that a data-driven approach to PR will be a must.

Marketing 214
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How to Use Analytics to Build Your 2015 Marketing Plan

Shift Communications

However, all of this data processing may not necessarily lead to any insights or any strategic changes; in many cases, we’ll be publishing massive quantities of shelfware that will go unseen. How do you make all of that analysis effort and time worthwhile? How do you avoid this problem? What caused those events?

Analytics 155