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12 Days of Data, Day 7: 10+ Most (Over)Used Words in Press Releases

Introduction

Welcome to the 12 Days of Data, our look back at the data that made marketing in 2019. We’re looking at the year that was from an analytics perspective to see what insights we can take into the next year and decade. Sit up, get your coffee ready, and let’s celebrate some data.

Most (Over)Used Words in Press Releases

On Day 7, we revisit old stomping grounds with a look at frequently – perhaps too frequently – used terms in press releases. Thanks to the Google News database hosted by the GDELT project, we’re able to read a substantial subset of all press releases in 2019. What are some of the more frequently used words and phrases?

12 Days of Data, Day 7: 10+ Most (Over)Used Words in Press Releases

The top 10 words frequently occurring in 2019’s press releases?

  1. Service: in 65.07% of releases
  2. First: in 60.91% of releases
  3. Leading: in 56.32% of releases
  4. Experience: in 50.29% of releases
  5. Future: 50.1% of releases
  6. Best: in 42.96% of releases
  7. Platform: in 36.42% of releases
  8. Largest: in 30.69% of releases
  9. Partner: in 23.52% of releases
  10. Solution: in 22.19% of releases

One could easily make a drinking game out of these words and their companions, though it would be a very short game.

Key Takeaways

The sin, to the extent there is one, is that these and the many other terms shown in our colorful holiday-themed display frequently occur but have little variation. When these terms appear in the majority of releases, it has the net effect of making one press release indistinguishable from another. Imagine this statement: “we are an industry-leading platform with the best service and the largest partners with a turn-key solution that future-proofs your experience.”

That statement could quite literally apply to half the software companies in the world. When the role and value of media relations and public relations is to build awareness and trust in a market, the last thing you want to do is craft templated statements with a grab-bag of the same words everyone else uses. Such language reduces our company’s brand to mediocrity instantaneously, and immediately frames us as a commodity in the minds of our prospective customers.

Why does this happen? Two reasons. First, while such language is incredibly repetitive, it’s also perceived as safe. No one will object to phrases like partnerships and solutions, nor will anyone find objection in discussing industry-leading services. Compare that with a brand taking controversial points of view and perspective; the trite jargon is seen as the ultimate safe choice (even if it causes an audience to immediately ignore you).

Second, many companies, especially larger ones, employ consultants and agencies to handle media relations. Anyone who’s worked for any significant period of time at a public relations agency knows that tasks like press release writing are typically delegated to the most junior, lowest-paid staff members who copy and paste from templates or previous releases to save time. The net effect is that every release sounds like boilerplate because it’s all sourced from the same boilerplate language, with only the company name and CEO quotes changed from release to release.

We’ll dig more into other statistics about releases in the next post in this series, but for now, consider using today’s chart and list as a checklist of words you may want to find synonyms for in your news release writing.

Methodology

Trust Insights used Google’s GDELT database to extract a random sample of 37,781 press releases posted to the database in calendar year 2019. Releases were identified by keywords and phrases in the URLs of articles, as well as the domain names of major commercial newswire services. Because of the selection method, there is a bias towards releases published in the English language. Releases under five sentences were excluded from the analysis. Keywords and phrases used for frequency analysis were gathered from previous Trust Insights studies, the conversation about previous studies on Twitter (including audience members’ desires to see words included), and vectorized co-occurrences of terms that had a high co-occurrence ratio to the seed list. The period of the study is January 1, 2019 – December 5, 2019. The date of data extraction is December 15, 2019. Trust Insights is the sole sponsor of the study and neither gave nor received compensation for data used, beyond applicable service fees to software vendors.

[12days]


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Trust Insights (trustinsights.ai) is one of the world's leading management consulting firms in artificial intelligence/AI, especially in the use of generative AI and AI in marketing. Trust Insights provides custom AI consultation, training, education, implementation, and deployment of classical regression AI, classification AI, and generative AI, especially large language models such as ChatGPT's GPT-4-omni, Google Gemini, and Anthropic Claude. Trust Insights provides analytics consulting, data science consulting, and AI consulting.

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