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If you have a media monitoring solution , such as Onclusive, you’ll discover a wealth of information in the big dataanalytics provided by these advanced technologies—from the current trends to the most impactful stories, authors, publications and messages that drove desired actions. What data do you have to support this?
Welcome back to our blog series about data-drivenPR campaign planning! Your messaging and your story are the heart of your PR campaign. To determine the right creative angle, ask yourself—why would my audiences care about this topic? The post Data-DrivenPR Campaign Planning: Part 2 appeared first on Onclusive.
The rise of sophisticated analytics tools has created new opportunities to understand audience behavior, measure media impact, and prove ROI. This transformation means PR teams can now demonstrate clear business value while optimizing their strategies in real-time.
That’s what data and analytics allow you to do. But with data on your side, you have a much better chance at being right than your gut instincts alone do. The campaign team focused on social data and analytics to determine the effectiveness of their efforts and understand what messages were resonating.
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.
In part one of this blog series, Sunita discussed the first cultural roadblock for PR/Communications’ Data-Driven Journeys – Lack of trust in a data management process and dataanalytics solution for PR/Communications earned media data domain.
3 Automate repetitive tasks Creative work is your oyster, but do you dread checking grammar and punctuation? Data-drivenPR is the practice of using analytics, audience insights, previous campaign statistics, and other performance metrics to inform decisions that impact messaging, branding, and story angles.
I had the pleasure and privilege of attending IBM Vision 2017 as a guest of IBM Analytics. Over three days, we explored the future of analytics and artificial intelligence, from understanding where we are in the evolution of analytics to seeing the cutting edge of how AI will impact every industry. Christopher S.
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.
Critical and creative thinking are fast becoming the skills to develop and Google seeks to help with that with this product. Clients in our industry are savvy enough to ask for reporting and analytics. Measuring the the success of programs by the numbers is quickly becoming the standard in PR and marketing with access to so much data.
This series will touch briefly on the following offerings/capabilities from SHIFT’s PR, marketing tech and creative services teams: Media monitoring. Predictive analytics. In this five part blog crisis management series, we’ll walk through how we would work with our pretend client, G.W., Media training. Sentiment/tone analysis.
We took published user base data for as many social networks as we could round up, loaded them into analytics software, and turned the data into treemaps. Then we cut the treemaps into individual squares and gave them to our Creative Services team. AnalyticsDataData-DrivenPR Infographic'
The important thing for us, beyond the upgraded look and feel, was to hammer on the data-drivenPR aspect. Then we can use our access to clients’ analytics tools to track how those efforts impacted the sales funnel, ideally all the way down to the bottom line. Lookin’ good, right?
Writing copy for social media is the most popular use for AI, according to 64% of PR pros. However, remember that AI should not replace human-written content and creativity. AI research In 2023, 58% of PR pros surveyed tapped into AI to conduct research. Instead, it should only be used to supplement.
It’s hard to miss all the articles and blog posts about how the PR industry is changing, how it’s integrating with new skill sets. Today, I wanted to dive a little more into my personal experience on the subject – including why PR pros should honestly start thinking about expanding their skill sets (and where to start).
Writing copy for social media is the most popular use for AI, according to 64% of PR pros. However, remember that AI should not replace human-written content and creativity. AI research In 2023, 58% of PR pros surveyed tapped into AI to conduct research. Data-drivenPRData-drivenPR uses analytics to guide PR strategies.
As the communications industry continues to change and to adapt to digital environments, these are the key skills/specialties that I see as key to communicators: Analytics : The ability and necessity to measure results in a digital environment is stronger than ever. Find a creative director who can act as a mentor.
Let’s take a look: How To Use Google Analytics for Same-Day Content Promotion. It’s certainly possible, using predictive analytics, to get a rough sense of what might work and what might not work, but few companies have access to that much technology and expertise. Social Media Game of Thrones: A Song of PR and Social.
With the evolution of technology, companies have generated a lot more data, which can inspire the creation of a lot more ideas, as well as increase the reach of those creative ideas. To do that, companies need to start investing in social listening and dataanalytics tools and platforms.
Tech PR can be used to solve problems that technology companies face, such as difficulty seducing funding or investment, attracting the best new talent to the company, growing the customer and user base, and scaling up the business. Data-Driven Tech PR Strategy Data-driven Tech PR strategies are the key to success for technology companies.
Today, with over 2 billion smartphones in use, the ways in which consumers experience brands is fundamentally different. This is no fad – it is projected that by 2020, 80% of adults on Earth will have a smart phone. The way we think of the “internet” as a place for brands must fundamentally change to reflect the rise of mobile.
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. What Would PR Do?
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