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Welcome back to our blog series about data-drivenPR campaign planning! Your messaging and your story are the heart of your PR campaign. What do you want people to do differently as a result of your PR campaign? The post Data-DrivenPR Campaign Planning: Part 2 appeared first on Onclusive.
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.
The technology to measure the business impact of communications on a company’s bottom line is now readily available, providing communicators with ample opportunities to develop data-drivenPR strategies. Overall, 78% of PR pros measure their communications effectiveness.*
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?
Download this playbook to read about: The 4 Pillars of Growth PR. Examples of real PR plays you can implement today to help enhance your efforts and rise above the noise. Best practices for setting up a data-drivenPR organization. Metrics & KPIs to measure success for earned and owned media.
Whatever the case, B2B and technology-based businesses are in an excellent position to use data-driven storytelling as part of a PR strategy. Here are some compelling reasons why tech PRs should embrace the trend. 5 reasons to embrace data-drivenPR. Data-driven pitches win points with journalists.
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. Fortunately, we now have two major tools at our fingertips: data and insights. Enter the era of data-drivenPR through artificial intelligence.
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.
Download this playbook to read about: The Four Pillars of Growth PR Metrics & KPIs to measure success for earned and owned media Examples of real PR plays you can implement today to help enhance your efforts and rise above the noise Best practices for setting up a data-drivenPR organization.
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.
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. PR attribution algorithms can now trace PR activity back to top of sales funnel call to actions like demo signups, and not just back to website traffic. . ” 4.
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.
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?
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.
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.
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. If you have the budget and resources to do so, yes. Christopher S.
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. Analytics Data-DrivenPR Marketing Marketing Technology Metrics Strategy Tools'
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.
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. Analytics DataData-DrivenPR Marketing Metrics Strategy Training'
Today, PR strategy is often informed by data insights. PR teams use data tools and platforms to glean patterns and insight from media coverage, measure audience engagement, and quantify campaign performance.
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. Tori Sabourin. Marketing Analyst.
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.
Having said that, the tie doesn’t need to be literal; for example, Halloween might be an excellent time for a cybersecurity pitch, or even a “scary” near-death business story about an entrepreneur. Do release some relevant data. Do consider the meaning of holidays.
Many in the industry agree and acknowledge that PR/Communications as an organization is way behind in adopting data-driven ways compared to their colleagues in marketing, finance, customer service or human resources as an example. Why this roadblock shows up? If you follow the right path, the results will prove itself.
AIs capacity to process large volumes of data. For example, Prowly has incorporated AI features that help draft press releases by having you answer custom questions based on what journalists would ask, ensuring all information is included and nothing is overlooked. The key benefit?
One way Google Correlate can help PR teams is by providing past trend data that can be used as supporting evidence for predictions they make on behalf of clients and include within their pitches. This makes it easier to identify what information these consumers still need, and therefore, should be included in the pitch. Casey Egan.
Below you can find some examples of tools that may come in handy. Calculate SOV as: (YourBrandMentions)/(TotalIndustryMentions)100 We wrote a whole article about Share of Voice and similar metrics that work like a charm in data-drivenPR. Use proper tools. Focus on Social Listening Platforms. How to do it?
Multi-touch attribution provides PR professionals with the opportunity to measure each step in the lifecycle, including those “murky middle” touch points. By measuring multiple touch points in a singular model, multi-touch attribution brings many benefits to the PR measurement table. Measure the impact of one channel on another.
Companies such as Iris PR and Vidyard are giving PR professionals and communications experts data sets and analytics tools that help them understand which messages are resonating with customers and prospects.
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.
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.
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.
If you’re a regular reader of this blog, you’re already starting to grow familiar with the term “Data-DrivenPR.” We intend to lead by example. The post SHIFT Communications: 12 Years and Counting appeared first on SHIFT Communications PR Agency - Boston | New York | San Francisco | Austin. That brings us to today.
Far too many PR professionals blindly mass email their pitches without making any attempt at the “Relations” part of Public Relations. Here are three examples I’ve received in the last month for my personal blog: Thanks a lot for accepting the request to connect. What you see above are three examples of attempting to take value first.
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.
There are plenty of other examples of automation gone wrong (take the recent hacking of Coca-Cola’s Twitter account by Gawker editors to prove the same case). Data-drivenPR does not equate with programmatic thinking. Data-driven is just that—information drives the direction, moves us forward. Photo Credit.
The important thing for us, beyond the upgraded look and feel, was to hammer on the data-drivenPR aspect. Instead, we use data to identify how, where and why that piece of coverage ought to be promoted (using media buying dollars), in those avenues where the clients’ most-likely prospects are hanging out.
Data-drivenPR. One of the big headlines for 2022 is that a data-driven approach to PR will be a must. Emerging channels like podcasts will continue to grow in influence, which means PR pros have to become more fluent in strategically pitching and forming relationships in these channels.
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. . — Christopher Penn (@cspenn) May 18, 2017.
These are the people I’d reach out to about my new sushi chain, in this example. The post How to build communities of social media influence appeared first on SHIFT Communications PR Agency - Boston | New York | San Francisco | Austin. Change how you view influencers to be about the communities they participate in.
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