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Making Data-Driven Decisions Raw data becomes valuable when it informs strategy. Leading PR teams establish clear KPIs tied to business goals, then use analytics to optimize toward those metrics. These technologies will continue evolving, but the core principle remains: data-drivenPR delivers better results.
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. Overall, 78% of PR pros measure their communications effectiveness.*
Unfortunately, 82 percent of practitioners say they have no way to evaluate the return they receive on PR. PR coverage has typically been measured by media outlet audience size. In 2012, Gartner predicted that by this year (2017), the CMO will spend more on technology that the CIO. Identify PR funnel accelerators.
This is a continuation of our April blog series focused on helping communications teams get the credit they deserve and the resources they need by making a key shift to data-drivenPR and communications. First things first: how do you define 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.
PR and earned media content, blog posts, and other company digital assets can often drive more top of funnel sales leads than ads and email marketing. New PR has an opportunity to work alongside marketers to align all aspects of brand communications while investing in tools and technology to properly showcase PR’s business impact.
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.
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.
This is a continuation of our April blog series focused on helping communications teams get the credit they deserve and the resources they need by making a key shift to data-drivenPR and communications. First things first: how do you define attribution?
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.
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.
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.
As communications becomes more digital, more quantified, and more data-driven, the pressure is on for pros to be as comfortable with data collection, metrics and measurement as they are at writing and creativity. To explore why this is important, let’s look at an example of how data helps PR get press for clients.
In this example below, how are we doing? The odds of someone moving down funnel that’s in my target audience are about 50% – after all, in the above example, 50% of my social media audience wasn’t relevant. Vice President, Marketing Technology. First and foremost, let’s understand if we’re even reaching new audiences.
If you’re working with a data-drivenPR firm, chances are at some point in your relationship you will be asked to grant access to a variety of marketing and data systems. To understand how systems access informs your PR program, we’ll reference the SHIFT Earned Media Hub Strategy as the base framework.
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.
When you’re looking at the data for 2014 in order to formulate ideas for 2015, start by looking for outliers. Look for unusual events that are worth noting, spikes in your data that clearly stand out. Here’s an example from web analytics: Look at those four standout events that are above and beyond normal traffic.
The more we “feed” the technology, the smarter it becomes and the more it understands our voice and style. It’s not a fling, but a long-term commitment to staying ahead in the PR game. Data-driven decisions hit the sweet spot Data-driven decision making has radically changed marketing, and its use in PR is more than a flirtation.
How do you measure in reasonably objective numbers the impact of the PR you’ve received? This is a core challenge of data-drivenPR. The post Data-DrivenPR Milestone: SHIFT Becomes Google Analytics Certified Partner appeared first on SHIFT Communications PR Agency - Boston | New York | San Francisco | Austin.
Click to view the live infographic and work with the data. Audiences can slice and dice data to find the information they care about most. In the example above, on the NY Times web site, you can switch views and look at specific points in time. Vice President, Marketing Technology. Christopher S.
In the last post, we reviewed the necessary ingredients to make successful predictions: good data. We defined good data as clean, compatible, and chosen well. Let’s next look at a predictive analytics example every PR practitioner will benefit from. Example: Matching Search Intent to PR.
A metric of any kind is a snapshot in time of where a piece of data is. For example, you can get a snapshot of how many people have viewed a bylined article, or get a snapshot of how many followers you have on Twitter. Vice President, Marketing Technology. Analytics DataData-DrivenPR Marketing Metrics Strategy Training'
You can use the data provided in Facebook’s Audience Insights to better inform paid advertising targeting and drive content decisions by creating more of the kinds of content your audience likes. Take @SHIFTcomm followers’ Top Interests, for example. Marketing Analyst.
But with PR attribution, one can see how efforts impact business goals and metrics aligned with the lower part of the funnel, such as whether those articles prompt downloads, convert leads into customers, and so forth. Make Data-DrivenPR Decisions. How can we access data for PR ROI?
For example, if we are trying to build out our earned media strategy and developing public relations pitches, using trending topics in a relevant way gives you an opportunity to be noticed by reporters. Here is an example of Google Trends results for the query “Public Relations.” Google News. Top related terms and topics.
Our client Uberall is a good example. This is why the best ongoing research programs for B2B PR rely on a combination of client data and third-party paid research. For leading data management platform Lotame , for example, their data and third-party surveys are both important, and they often work together.
Every industry will need data scientists; every company will need access to data scientists or data science tools in order to remain competitive. As a simple example, predictive analytics tell businesses what they need, when, and where. Vice President, Marketing Technology. Christopher S.
Shel Israel followed up in our discussion last week about the automation (or lack thereof) of persuasion technologies and public relations by asking: Since you are in the business of building trust for clients, why are so many PR people not trusted by the media? What you see above are three examples of attempting to take value first.
Data, both its growth and value to marketers and their audiences, is growing across all spectrums. Given the integration of software and application-centric computing, every B2B technology and non-consumer enterprise has access to mountains of data that eluded them before. Derek Lyons.
In my last post , I covered what for me was a particularly egregious misuse of marketing technology, when a bot promoted a white paper with “Fear and Loathing” in the title on the 10 th anniversary of the suicide of Hunter S. Data-drivenPR does not equate with programmatic thinking. But creative thinking is the fuel.
The solution is simple: opinion out, data in. To make data-drivenPR work, we must rely on data, not opinion or instinct, to make decisions and come up with ideas that lead us to success. To quote Sherlock Holmes from A Scandal in Bohemia, “It is a capital mistake to theorize before one has data.
You may have noticed already that we talk a lot about data-drivenPR at SHIFT. It’s not just a topic on our blog, it’s a concept we are encouraged to prioritize in every facet of our PR strategies. For example, it’s a rare sight to see The New York Times or The Wall Street Journal provide a link to a company website.
These are the people I’d reach out to about my new sushi chain, in this example. Vice President, Marketing Technology. The post How to build communities of social media influence appeared first on SHIFT Communications PR Agency - Boston | New York | San Francisco | Austin. Christopher S.
Let’s step through an example. Vice President, Marketing Technology. cta] The post How To Reach Top-Tier Influencers on PR Budgets appeared first on SHIFT Communications PR Agency - Boston | New York | San Francisco | Austin. Some of the best influencers share dozens, if not hundreds, of pieces of content every week.
For example, “SHIFT Communications” would be a branded non-negative search. However, all things being equal, branded non-negative searches are a far better way to determine how present we are in the minds of our audience than other traditional PR metrics ( especially impressions, which are worthless ). Measure What Matters.
SHIFT Communications, the premiere data-drivenPR agency , announced today the release of the Heuristic And Recurrent Ontological Lexicon Deep-learner, or HAROLD, the world’s first artificially intelligent (AI), cloud-based PR employee. The Shakespeare example above is real, generated by our AI. Could HAROLD exist?
And while the benefits of data-driven storytelling have been extolled in the PR world for some time now, we often forget that our clients are the keepers of their own best asset – data. And when data-drivenPR strategies are leveraged over time, the results can be especially impactful.
Not all services provide all three categories of engagement; Instagram, for example, does not permit sharing natively in its app. Once we understand that a combination of, for example, completions plus comments drives actions, we can test inciting those specific behaviors to drive actions. Vice President, Marketing Technology.
The good news for comms pros: It will be a blend of both technology and human insight. How good it would be if every task could be automated, saving the time of PR professionals for vital tasks such as creative work and decision-making activities? Maybe the best way to get started is by learning how technology experts are defining AI.
For example, ChatGPT will soon understand, interact and communicate using many different methods like text, images, video, audio and more. Examples of AI Prompts for PR Research Rank the top five best practices for crisis communication in the context of a healthcare industry scandal?
To prepare for predictive analytics, we must clean our data as best as possible. Compatible Data. Most predictive analytics software and systems are based on open-source libraries and technologies. As such, we must ensure our data is in compatible formats so that as little conversion/manipulation is required prior to import.
Rather than just wing it or have a purely canned talk that may not be relevant to the audience and the event, we can look to data. Let’s dig into what a data-driven public speaking strategy would look like as part of your overall data-drivenPR program. Vice President, Marketing Technology.
The expansive variety of software and technology at our fingertips allows everyone the opportunity to turn data into valuable insight. How Does Predictive Analytics Apply to PR? A great example of how predictive analytics applies to PR is the process of creating a crisis communication plan.
The second scenario where predictive analytics often fails is with black swans – events that are significant and impactful, but could not be foretold from existing data. While much business and marketing data is cyclical, seasonal, and predictable, we still encounter these events from time to time. Confounding Variables.
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