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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.
This case study is from the people at Tank, a digital PRagency that helps clients to realise their digital ambition by marketing beyond the obvious. Founded in Nottingham in 2010, Tank is an established team of expert marketers and PR people working for clients across the UK, EMEA, Australia and the US in a rich variety of sectors.
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.
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.
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.
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.
Digital has been in SHIFT’s blood for over a decade, from being one of the first agencies to embrace social media to creating the social media press release and social media newsroom. How do you measure in reasonably objective numbers the impact of the PR you’ve received? This is a core challenge of data-drivenPR.
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' 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.
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. Christopher S. Vice President, Marketing Technology.
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'
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. It can inform, guide and drive your strategy if you know where to look. Tori Sabourin.
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.
Now that we’ve popped the champagne and cut the cake, it feels natural to consider not just HOW MUCH we’ve grown, but HOW we’ve grown – and more importantly, what does that suggest for mid-sized agencies in an increasingly competitive market? That may sound elementary; basic even – why wouldn’t you use data to make business decisions?
Our PR teams have been taking an analytical approach to forming their account strategies for some time, and our clients have been very pleased with the results. This can be useful for PR teams when deciding what information should be included within a pitch, as well as how that information should be positioned. Casey Egan.
In government, public relations specialists are sometimes called press secretaries and they are responsible for keeping the public informed (or perhaps uninformed ) about the activities of government officials and agencies. roughly 21 are PR professionals. In fact, per thousand jobs in D.C.,
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.
We’ve grown to eclipse our precursor agency in size and scope. Within the Agency itself, I still fondly recall mandating that every SHIFTer “get on Facebook and Twitter,” and the groans that that elicited from a staff that had already grown fatigued by all the Social Media hype. We intend to lead by example. Todd Defren.
Alex Cassidy of UK digital PRagency Distinctly wrote a post about how they were trying to use ChatGPT to build creative campaigns. The digital PR team’s doing it, and other agencies are doing it. How has AI changed the way your agency thinks? That’s how it all started. That’s good.
This year, we’ve seen brands and agencies alike trying – and struggling – to find and hire strong PR pros. So, my prediction for 2022 is that those PR practitioners with stand-out skills like stellar writing ability and a proven track record of success will have unlimited career opportunities. Data-drivenPR.
Access : influencers guard themselves with agents, agencies of their own, and handlers, making working with them challenging in some cases. Let’s step through an example. cta] The post How To Reach Top-Tier Influencers on PR Budgets appeared first on SHIFT Communications PRAgency - Boston | New York | San Francisco | Austin.
The important thing for us, beyond the upgraded look and feel, was to hammer on the data-drivenPR aspect. We’re also well on our way to embedding at least one data jockey on every Agency team. In essence, we’ve built an Integrated Marketing Agency while in mid-air aboard a high-flying PR Firm.
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.
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.
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 PRAgency - Boston | New York | San Francisco | Austin. Change how you view influencers to be about the communities they participate in.
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. Action Metrics. Reporting to Others.
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.
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. Just a few examples: If you’re a SaaS provider, understand how different departments within your enterprise client interact (e.g.
If you’re a truly data-drivenPR professional, you want to showcase your analytics chops in every new business/sales presentation. Most PR professionals run into a serious problem every time we go to use Google Analytics in a sales presentation: We’re showing someone else’s data. For training videos and webinars.
SHIFT Communications, the premiere data-drivenPRagency , 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.
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. What’s the goal? Christopher S.
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. Lisa Zanchi. Marketing Analyst.
For example, “SHIFT Communications” would be a branded non-negative search. cta] The post The Most Important Metric in PR Today appeared first on SHIFT Communications PRAgency - Boston | New York | San Francisco | Austin. Our brand name is in the search. Measure what matters. Christopher S.
It’s the age-old question…or the ‘PR-age’ old question that is. With many agencies still stuck offering client reports relying on impressions or number of social shares, you’ve likely seen many posts on the SHIFT blog about how to move past these antiquated forms of measurement. How to measure the impact of our work? Julie Staadecker.
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.
Assuming that didn’t work for you, it brings up a larger point: While you don’t need a degree in computer science to build an AI strategy, it is important that PR pros don’t sit on the sidelines and let an AI strategy get defined for them without their input. The first example is pragmatic AI. The Industry Take On AI So Far.
For example, if you were promoting a dairy brand, you’d want to make sure your partner wasn’t vegan. cta] The post Selecting the Right Celebrity Ambassador appeared first on SHIFT Communications PRAgency - Boston | New York | San Francisco | Austin. Authenticity is vital to success. Julie Staadecker. Account Director.
In the next post in this series, we’ll walk through a predictive analytics example that’s applicable to every PR practitioner and explain how to use it. cta] The post {PR}edict: Predictive Analytics and the Future of PR, Part 2 appeared first on SHIFT Communications PRAgency - Boston | New York | San Francisco | Austin.
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