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An impactful PR campaign can attract positive media attention and influence brand awareness, reputation and sales for your brand for years to come. However, to generate that level of clout, PR campaigns require more than just a press release, media outreach or fundraising event. Start with situation analysis and research.
Earned media content is king when it comes to building brand reputation—your biggest brand asset. And while in the past there have always been clearer metrics around paid and owned media than earned media, that’s changed with the industry shift from print to digital formats, which has resulted in a wealth of digital data.
But here comes brand tracking. By systematically measuring key brand health metrics, you can uncover vital insights into consumer awareness and sentiment, allowing your brand to adapt and flourish. Get to know all the key indicators you should follow to measure brand health effectively and (almost) effortlessly.
This week, we’re continuing our April blog series focused on helping communications teams to get the credit they deserve and the resources they need by making a key shift to data-drivenPR and communications. Influence: Brand Impact. Action: PR Attribution. ” – Katie Watson, VP Communications, 23andMe.
This week, we’re continuing our April blog series focused on helping communications teams to get the credit they deserve and the resources they need by making a key shift to data-drivenPR and communications. Influence: Brand Impact. Action: PR Attribution.
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.
We’ve used the expression data-drivenPR for quite some time now, but haven’t clearly defined it. What does data-drivenPR 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.
But Shannon’s team made some assumptions when creating the content; assumptions that data was saying one thing without considering all the other possibilities. They look for opportunities to attack a brand and its credibility. Data-DrivenPR communications marketing math Research statistics' Chel Wolverton.
Increased trust in your brand. Increased desire to purchase or at least consideration of your brand. These qualitative benefits of PR are as old as the marketing funnel itself. How do you measure in reasonably objective numbers the impact of the PR you’ve received? This is a core challenge of data-drivenPR.
Using the vast data available to public relations teams can unearth lessons for strategic development and help to create a cyclical process of analysis. Without adding the science to the art of PR we miss important opportunities to tell compelling stories, impact audiences more effectively, and ultimately prove the value of PR.
This is the challenge my friends at AirPR are solving, one data dashboard at a time. Those guys preach “data-drivenPR” so that PR professionals and brand marketers get smarter about how and what they measure when a campaign comes to a close. Did it drive traffic, engagement, or sales?
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. Very few organizations have the resources and capabilities to hire all three classes.
If they’re not, the data showing what’s not working arms you with intel that can help you make better decisions moving forward. All data, whether it “makes you look good” initially or not, is valuable! Critical thinking paired with iterative analysis of PRdata can help build trust between you and your executives or clients.
As businesses become more digitized, paying attention to current trends, like the ever-growing importance of social media and data analytics, helps to promote and protect brand image. Also, it allows professionals to employ the right PR strategies when it matters most. Today, companies expect more from their PR departments.
One of the most difficult challenges reporting and analytics face in public relations measurement is sentiment analysis. Machines attempt textual analysis of sentiment all the time; more often than not, it goes horribly wrong. What a terrible mixup, to classify something as negative towards your brand when it’s a positive.
For B2B companies, this presents a massive PR opportunity. To meet media demand, B2B tech brands in particular can build out their own research assets. An asset that can earn branded media coverage is valuable — and that’s not all. Data-driven coverage can establish a brand as a category expert or leader.
Something that weve been focussing on heavily at Tank is data-drivenPR, in particular, utilising internal data. Our clients are often sitting on a goldmine of data whether this is sales stats, user trends, or even a rise in sales for a specific product. What are the common issues for the clients customer base?
We’ve talked a lot in the past year about Facebook, from the evolution of its advertising offering to the almost complete destruction of organic reach for brand pages. As a brand manager, the best thing you can do is accept this fact and adjust strategies. Data-DrivenPR Milestone: SHIFT Becomes Google Analytics Certified Partner.
My plea not just to tech companies, but to PR companies, ad agencies, and marketers across the board: Rather than talk about what everyone’s already talking about—let’s be the ones to get them talking. Data-drivenPR does not equate with programmatic thinking. It’s a brand identity and a value prop. Photo Credit.
Do we help build confidence in a brand to nurture or ease the selling process? There’s nothing wrong with quantitative data, especially if you want to answer the question, “ what happened? ”. What’s wrong with this approach is that we try to force quantitative analysis to answer qualitative questions.
It’s difficult to boil everything down to one number; the nature of attribution analysis is that there are often many variables which influence someone’s decision to buy something. The biggest problem brands face – for the most part – isn’t negative press. What is branded non-negative search?
This is another metric that we’re going to need to track, and there’s a new traffic source coming to the website when we’re thinking about brands being linked on the AI overviews. But then there’s another side of things when we’re talking about the PR element to it specifically. I talk about that a lot.
Brands can enhance their social media presence by creating engaging content, actively interacting with their audience, leveraging SEO, utilizing analytics for strategy refinement and staying updated with new platforms and trends. Data-drivenPR Trends PR pros are using data-driven analytics to guide PR strategies.
Data-drivenPRData-drivenPR uses analytics to guide PR strategies. It focuses on media coverage, audience data and social trends to improve campaign effectiveness. Most decision-making in this approach is based on data and this drives greater campaign successes.
It’s no secret that large agencies have the luxury of launching programs as brand exercises, throwing money at a problem or trend — be it through M&A, new offices or “cutting edge” practices. At SHIFT, we’ve taken our approach to data-drivenPR and directly applied it to being a data-driven business.
Overview of Tech PR Tech PR is the strategic use of communications and relationships to build the reputation of a brand or business in the technology industry. Tech PR also involves securing media coverage and amplifying content through storytelling to reach the right target audience.
This often means using data about our current market or audience to create a model. A simple example may be an analysis of engagement for a brand’s 2015 social content, revealing what types of posts earned the most attention. A model is simply a substitute for reality that we can use to better understand the real thing.
Of course no PR person would create such a media pitch, but it’s a good reminder that for many people, serious holidays have deep and emotional meaning. Do release some relevant data. Solid data-drivenPR story pitches are always welcomed by reporters, but especially so during calendar milestones or big breaking stories.
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. PR grows more in demand. Data-drivenPR. Bill Byrne , Managing Director, Remedy PR .
As our VP of Marketing Tech previously summarized : In a crisis management situation, something has gone wrong and your brand is on fire. to help ensure his vegan donut business and brand reputation doesn’t suffer during or after Shark Week. Sentiment/tone analysis. is suffering a crisis. Media training.
Whether a brand has experience with controversial news or has yet to meet a crisis challenge, having a communications plan in place in advance of a potential incident is a must. Brands that are too quick to pull the trigger – usually via social media – often get caught in a riptide of negative backlash. Another data source G.W.’s
As businesses and brands, this is one of the key challenges facing us. While some well known, loved brands will likely see their demise in the year ahead, new challenger brands will take their places. For brands with some advertising budget, the paid media world offers more choices and power than ever before.
In the hierarchy of analytics, data is the stuff, the raw materials. Data is what’s stored in your database, crammed into your spreadsheets, cluttering up your hard drive. Analysis comes from the Greek word analein , to loosen up. Here’s a simple example of the differences among data, analysis, and insight.
You question it, and want to see the data. You want to download the data and do your own analysis. You crave subtlety and nuance, a desire to see the big picture as well as the data itself. Citizen analysts don’t accept blanket statements at face value, especially when presented with little or no methodology.
You question it, and want to see the data. You want to download the data and do your own analysis. You crave subtlety and nuance, a desire to see the big picture as well as the data itself. Citizen analysts don’t accept blanket statements at face value, especially when presented with little or no methodology.
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