Hot Tin Roof PR’s Post

What Makes a Data Story Journalists Can’t Ignore? 🎯 Crafting a data story that captures press attention isn’t just about numbers; it’s about relevance, timing, and impact. Journalists value stories that are: ✅ Timely – stories tied to current trends spark immediate interest. ✅ Relevant – data should directly address the audience’s pain points or interests. ✅ Surprising – a unique perspective, like uncovering an unexpected trend, can make a big splash. Our clients find that these elements lead to headlines that not only catch the eye but resonate with real-life challenges. With clear narrative structure and data that’s engaging and verifiable, the results often speak for themselves. 📊✨ Are your data stories headline-worthy? With these principles, they can be. #PRinPoland #publicist #dataPR

The Data Maturity Pyramid is the most crucial business model tool for publishers to frame and build their transformation and ultimately monetize and grow their #digital audience. In this article, Mather Economics explores each level of the pyramid and underscores the importance of progression in order. https://lnkd.in/ez3FKwPj #newspapers #media

🚀 Exciting Insights from Politiken: Enhancing Data Accessibility for Journalists with Stibo DX! 🚀 In a recent webinar titled "The Un-Webinar: Blunt Talk About Data in Newsrooms," hosted by INMA, Troels Jørgensen, Digital Director at Politiken, shared how they are revolutionizing data accessibility for their journalists. 🌟 Key Highlights from the Webinar: 🔍 Seamless Data Integration: Politiken has embedded data analytics and dashboards directly into their website, making it easy for journalists to track performance and make timely updates in CUE. 📊 Real-Time Insights: A green bar next to each story shows key metrics like reading depth and engagement levels, offering immediate feedback. 📝 Content Strategy: Politiken uses a variety of article templates, from Small to XXL, to ensure diverse content offerings. 📈 Performance Metrics: Their data dashboard tracks seven different engagement parameters, emphasizing metrics like subscription sales over page views. ⚡ Quick Adjustments: Journalists can quickly adjust and enrich their stories directly in CUE via an intuitive button, enhancing engagement and performance. At Stibo DX, we are proud to support leading publishers like Politiken in their digital transformation journey. Our solutions are designed to empower newsrooms with the tools they need to thrive in a data-driven world. 💡 Interested in learning more about how we can help your organization? Let's connect! #StiboDX #DigitalTransformation #Publishing #Broadcasting #DataAnalytics #Journalism #ContentStrategy #Engagement #CUE #INMA 👉 Full story with link to webinar here: https://lnkd.in/eszZfQpv

🔍 Some quick thoughts on data storytelling strategies: In a world of disinformation, credible data-driven storytelling is more important than ever in the social impact space. By capturing and using robust data and insights strategically, you can: ℹ️ Establish credibility and authority in your field, and become a trusted source of information for journalists and policy makers 💡Build a reputation for being a thought leader who can add value on current trends and issues 📢 Engage influencial media outlets and commentators to support political campaigning 🤝 Build deeper media relationships by offering exclusive data driven stories to key journalists While surveys and polling can still get good coverage, the more of your own unique data you can produce the better - whether it's capturing data from your services or analysing government figures. Hit me up to find out more about how you can make your data work harder for you 💪 #DataAnalysis #MediaStrategy #Campaigning #ThoughtLeadership

Using a real-world dataset as an example, Angelica Lo Duca shows how you can tweak your data visualizations to ensure they fit the needs of specific target audiences — in this case, professional, non-technical stakeholders.

Ever tried to move anyone without "Research" or "Insights" in their job title by talking about data? It's a heavy lift without being able to transform data into a compelling story. Here are 3 tips that'll help you on your way to becoming an expert data storyteller https://bit.ly/3PxlRxy #datastorytelling #pragmaticmarketing #marketresearch

Just because marketing data is available from Google, Facebook, Amazon, TikTok etc it doesn't mean that it's useful. Watch This Clip here https://lnkd.in/gk6uA2f9 Full-Length Episode Here Youtube:    Yo: Not All Data Is Evidence. https://lnkd.in/gNzX_HZS  Apple Podcasts: https://lnkd.in/gSJGxgKq... Spotify: https://lnkd.in/g_pehJE9... About This Episode Plenty of organizations mandate that successful marketers need a strong background in data-driven decision-making. The implication is that data-driven decisions are superior to intuition or wild guesses. However, it’s rare that any job post or business asks marketers for decisions based on evidence. Today, we’re lucky to have Prof. Koen Pauwels join us to explore this topic. Speaker Bio Prof. dr. Koen Pauwels. Koen Pauwels Distinguished Professor of Marketing & Vice Dean of Research at Northeastern University Adjunct Professor @ Norwegian Business School Consultant to companies in multiple industries like Amazon, Microsoft, Unilever, Sony, Old Navy etc Author of 4 books and over 70 papers Awarded Best Paper for significant, long-term contribution to marketing in the Journal of Marketing Research References Long-Term effects of Advertising https://lnkd.in/gcJwkVYW Access to Prof. Pauwels Published Papers https://lnkd.in/gNrsc8d6 It’s not the size of the data, it’s how you use it https://lnkd.in/gw7XHUJM Empirical generalizations https://lnkd.in/gW5wnpwF

When it comes to behavior change initiatives, us data analysts and researchers can look a step deeper, beyond why someone is behaving a certain way, by utilizing the COM-B model. With this framework, we gain a deeper understanding of our audience’s behaviors by analyzing their: - Capabilities: what knowledge, skills and abilities drive the behavior? - Opportunities: what outside factors, such as their environment or social norms, make the behavior possible? - Motivations: what psychological processes, such as habits or beliefs, direct their decisions and behaviors? The next time you’re stringing together your audience insights, try implementing this framework to get to the root of the behavior using behavioral science 😎 My DMs are open if you’re interested in chatting more about COM-B and how Ogilvy XD's Data Strategy x Behavioral Science teams use this framework in our everyday work!

🚀 Transforming Data into Compelling Stories Crafting a compelling statistical story goes beyond just presenting numbers—it's about creating a narrative that resonates with your audience. By focusing on key findings, making them relatable to real-life events, and using clear, simple language, you can turn complex data into stories that inform and engage. 📝 Key Tips for Writing Statistical Stories: Identify key findings. Relate to real-life events. Use clear, simple language. Structure your story with the inverted pyramid technique. Include quotes for added context. Let your data tell a story that people remember and understand! 📊✨ #DataStorytelling #Statistics #DataAnalysis #WritingTips #Communication #DataVisualization

Do you measure conversions per article? Do you reward conversions per article? I'm cleaning out some tabs and came across a collection of success metrics used in newsrooms. Several of these newsrooms are tying conversions at the article level to measure success. Is the goal of a single article to convert a reader to a subscriber? I'd argue that's bananas. Some follow-up questions would be: 1. If the goal of publishing an article is to win a subscription with that article — what are you incentivizing in terms of coverage and writing style? 2. What unexpected negative impacts have you seen since putting conversations as a goal for stories? 3. What data led you to choose this attribution model over other attribution models? It's crucial to understand that data tells you what happened. Past tense. What happened. When it happened. Metrics can't predict the future, and they can't tell you why something happened. It's easy to fool ourselves that access to data means that we are only using data to make good decisions. Data enables bad decisions every day.