NinjaCat

With Data Cloud, your marketing analytics experience is about to be transformed. Centralize, manage, and analyze all your marketing data in one powerful, AI-enabled platform. Say goodbye to data chaos and hello to streamlined, actionable insights. Key Features: ✨ Permanent Data Storage: Securely retain and scale your data with ease. ✨ AI-Powered Exploration: Uncover insights effortlessly with our AI Copilot. ✨ Seamless Data Delivery: Efficiently ship your data to your preferred BI tools or storage destinations. Don’t miss out! Watch our overview video to see Data Cloud and AI Copilot in action and learn how they can revolutionize your marketing analytics.

NEW EPISODE! | Marketing data analysts, this one's for you! 🙌 Our latest special edition of "What Gets Measured" compiles the top clips from industry experts, offering you tips on data analysis, management, and interpretation. 📈 Key Highlights: 🔹 The Role of Data Analysts: You’re at the heart of today’s data-driven marketing world, but it’s not just about mining numbers—it's about presenting them in a way that drives decisions. 🔹 Improve Your Analyst Skills: Adam Singer, VP of Marketing at AdQuick, asks, “Why have marketers who can’t read key metrics?” His advice: focus on strategy and work with direct marketers to deepen your data skills. 🔹 Unlock Customer Data: Zack Wenthe 🧠📢 Wenthe emphasizes breaking down data silos and stresses that data issues often stem from internal misalignment, not a lack of technology. 🔹 Decoding Attribution: Jeff Greenfield of Provalytics talks about moving beyond cookie-based models and advocates for a broader view of marketing mix modeling to guide agency success. 🔹 Sharpen Your Data Interpretation: Kyle Block of Gradient Metrics shares a crucial tip: ask where data comes from and what manipulations it went through to ensure your analysis is solid. 🔹 Turning Data Into Intelligence: Aron Clymer from Data Clymer reminds us that having all data in one place is essential to answer complex business questions and build trust in your analysis. 🔹 Key Takeaway: The power of data analysis isn't in the data itself, but in how you use it to answer critical business questions. Keep questioning, keep learning, and fuel business growth! 🔗 Check out the full episode HEAR --> https://hubs.la/Q02Q5LfS0

Is your agency AI-Ready? Find out with our free assessment. Transforming your agency with AI isn't just about the technology; it's about being prepared on all fronts. Get our roadmap to AI readiness, including a handy checklist to ensure you're AI-ready, covering everything from data infrastructure to fostering a data-driven culture and team skills enhancement. CHECK IT OUT --> https://hubs.la/Q02P_PsY0 #AIReadiness #TeamGrowth #AIImplementation #data #DataAnalytics

Ever feel like you're drowning in data, trying to make sense of it all while keeping your marketing strategy afloat? In today’s complex world, it's tempting to think more data equals better decisions. But, as JP Castlin explains in our recent podcast episode, that’s not always the case. “The more you lock onto precision, the less accurate you’ll be.” It's not about collecting every data point possible. It's about starting with strategy—identifying the key data you need to track your success or failure. Precision and accuracy aren't the same, and balancing the two is where the magic happens. JP shares his take on balancing intuition with data, getting more diverse voices and insight on strategies before they go live, breaking down marketing frameworks that work (and don’t), and even uses a children’s birthday party as a metaphor for managing chaos. Curious about the banana curve, or whether bacon in France really trumps Francis Bacon? Tune into the full episode to get the answers and so much more. GET IN HEAR --> https://bit.ly/4gcFgAB

"Social is the new search," but it's not replacing traditional search engines; it's complementing them. As consumers increasingly turn to social platforms like TikTok and YouTube for insights and reviews, brands must adapt by integrating social search into their strategies. This shift offers an alternative, visually engaging format for users to connect with brands through real-life perspectives. Learn how leveraging social media for search can transform your brand’s visibility and engagement in this excellent piece from Wpromote --> https://bit.ly/3Tlm61s

The most scary request for me as an analyst Was these 3 words: “Find something interesting” I dug tirelessly through the data 🤔 For something “interesting” I made a whole slide deck Of “interesting” stuff But no - not interesting “enough” (…What does “enough” mean?!!) I eventually found  The real “I” word he wanted: ⭐️ Insight Data after all can be mostly muck  But at the bottom of the barrel Are sometimes … insights: ⭐️ Oh wow, adjusting X … May decrease churn!  ⭐️ Or woah, removing Y … May increase clickthrough!  ⭐️ Or hey now: A … Might be a large influence on B To find an insight It doesn’t matter what *I* find “interesting” It matters what’s *relevant*  To the business and its priorities What will inspire people to act *Differently* To find an insight we MUST: ✳️ Have business acumen  No ifs, ands, or buts What are some cool insights you’ve found?

🔗 Zero-Click Summary: Understanding Data Connectors: Bridging the Gap Between Diverse Marketing Data Sources 🔗 Data connectors are essential tools in data analytics, enabling seamless transfer and integration between different systems and platforms. They bridge the gap between data sources and central analytics platforms or data warehouses, providing marketers and analysts with a consolidated view of data from across the marketing ecosystem. Here's a quick guide to understanding and choosing the right data connector: 📡 APIs: Ideal for real-time data access from supported platforms. They automate data retrieval and allow customization to avoid data overload. 💾 CSV Imports: Best for bulk data transfers, like moving historical data. These are user-friendly and work across various systems. 🚀 Other Connectors: Includes webhooks for automatic data notifications, robust database connectors for complex queries, and custom connectors for unique needs. 🛠️ Choosing the Right Connector: Consider your data volume, frequency of updates, technical resources, and integration complexity to pick the most suitable connector. Data connectors streamline your data integration process, enhancing your analytics efforts and operational efficiency. Make sure to test connections, prioritize security, and regularly check data quality to maximize their benefits. READ THE WHOLE BLOG -> https://bit.ly/3TgtL0R

This could be controversial 🧨but I must admit it 𝐃𝐚𝐭𝐚 𝐕𝐚𝐥𝐮𝐞 𝐝𝐨𝐞𝐬 𝐧𝐨𝐭 𝐜𝐨𝐦𝐞 𝐟𝐫𝐨𝐦 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 But let me explain ⤵️ Value doesn’t come from the quality of the data alone, but from the quality of the questions you ask of the data… Let’s be honest… As Data and AI professionals, we’re too often obsession with perfection… ⚡️pristine datasets ⚡️flawless algorithms ⚡️gap free datapoints But the honest truth is: 𝐔𝐭𝐢𝐥𝐢𝐭𝐲 𝐛𝐞𝐚𝐭𝐬 𝐩𝐞𝐫𝐟𝐞𝐜𝐭𝐢𝐨𝐧 𝐞𝐯𝐞𝐫𝐲 𝐭𝐢𝐦𝐞! Think about it—what good is perfectly clean data if it doesn’t drive meaningful insights? True value is in how you leverage the data to solve real-world problems, make decisions, and create tangible impact… This is where what I call “utility over perfection” should become your guiding principle It is about being 𝚟̲𝚊̲𝚕̲𝚞̲𝚎̲ ̲𝚏̲𝚘̲𝚌̲𝚞̲𝚜̲𝚎̲𝚍̲ and 𝚟̲𝚊̲𝚕̲𝚞̲𝚎̲ ̲𝚍̲𝚛̲𝚒̲𝚟̲𝚎̲𝚗̲ It’s not about waiting for the perfect data, which will really never come… It’s about asking the right questions, focusing on the outcomes, and being adaptable with what you have. Data that is “good enough” can unlock unbelievable value when combined with clear objectives and value driven thinking… But what does such value focus look like in practice? Well, it means being bold enough to: 🪼 Prioritise actionable insights over endless data cleansing 🪼 Focus on the impact rather than the precision of every datapoint 🪼 Embrace imperfection & iterating quickly to achieve better outcomes Data is powerful… Data powers AI & GenAI… But its value is realised only when we use it to: 🍠 drive action 🍠 make decisions and 🍠 solve problems that matter So, we really must shift our focus from creating perfect data to creating perfect impact with the data we have. #AcceleratingAIValue #AI #Value #Data

🌟 Exploring the Interplay of Data and Intuition in Strategic Decision-Making 🌟 🔍 Are you relying too much on data at the expense of strategic intuition? Join us as we dive into a thought-provoking discussion with JP Castlin, a renowned strategy consultant and thought leader in market dynamics. In our latest podcast episode, JP challenges the conventional wisdom that "more data equals better strategy" and sheds light on the complexities of navigating market dynamics with a balanced approach. 🧠 What are the limitations of data in strategic contexts? ⚖️ How can organizations effectively balance data-driven insights with intuitive decision-making? 🚀 What role does experimentation play in overcoming economic and innovation barriers? JP also introduces his innovative ABC Framework for strategic planning, which has driven significant success in various organizations. 💡 Discover why embracing complexity and fostering resilience are key to future-proofing your strategic decisions. 🎧 Tune into our conversation to gain invaluable insights that could reshape how you think about strategy and decision-making in complex environments. LISTEN NOW -> https://bit.ly/3X8dTyN

TOMORROW -- I have a 🔥 HEATER 🔥 of a NinjaCat podcast coming at you all!! I sit down with the one and only JP Castlin and we discuss complexity, mathematical & mental models, marketing strategy, uncertainty, simple (but not simplistic) rules, and if bacon in France is better than Francis Bacon. 🥓 SET YOUR PODCATCHERS TO SUBSCRIBE & SNAG!! --> https://lnkd.in/g7cV7Uuf