Dr Grace Kite’s Post

Bar charts are the bazooka of data communication.   It’s because they’re the easiest way to understand data. The first chart kids get taught at school. But it’s easy to muffle the effect by making them look complicated, even when they’re simple.   Take this one from Dr Grace Kite's 2021 presentation for the IPA (Institute of Practitioners in Advertising). We’re looking at average return on investment from advertising by size of business.   This is a fabulous piece of data. Business size is the most important determinant of advertising ROI, so this chart is one you can refer to forever, to see if your ROI is better or worse than it should be.   But the starting chart is a mess. There’s way too much going on. A lot of “ink on the page” doesn’t add anything to the reader’s comprehension of the central point.   ✂️First step is a FIERCE declutter. Remove the background, legend, axis labels and funky bar formatting.   And then add stuff. Put data labels on the bars and write what you want the reader to see in the title and annotation.   Tada! It’s now a killer chart worth a book mark for any marketing professional.   It’s one thing building the killer chart, but communicating it for change is another. Our next intake for our course Data Works is 8th October and covers all this and more.   It's all about numbers. What marketing people should do with them, how to do it, and how to make people listen.   🚩Read more and sign up here: https://lnkd.in/evkgPgnu or email Imogen Howard via [email protected] for group bookings or questions.   If you’re interested in analytics or consultancy, drop Dr Grace Kite a message. #marketing #training #data

Bar charts are the bazooka of data communication.   It’s because they’re the easiest way to understand data. The first chart kids get taught at school. But it’s easy to muffle the effect by making them look complicated, even when they’re simple.   Take this one from Dr Grace Kite's 2021 presentation for the IPA (Institute of Practitioners in Advertising). We’re looking at average return on investment from advertising by size of business.   This is a fabulous piece of data. Business size is the most important determinant of advertising ROI, so this chart is one you can refer to forever, to see if your ROI is better or worse than it should be.   But the starting chart is a mess. There’s way too much going on. A lot of “ink on the page” doesn’t add anything to the reader’s comprehension of the central point.   ✂️First step is a FIERCE declutter. Remove the background, legend, axis labels and funky bar formatting.   And then add stuff. Put data labels on the bars and write what you want the reader to see in the title and annotation.   Tada! It’s now a killer chart worth a book mark for any marketing professional.   It’s one thing building the killer chart, but communicating it for change is another. Our next intake for our course Data Works is 8th October and covers all this and more.   It's all about numbers. What marketing people should do with them, how to do it, and how to make people listen.   🚩Read more and sign up here: https://lnkd.in/evkgPgnu or email Imogen Howard via [email protected] for group bookings or questions.   If you’re interested in analytics or consultancy, drop Dr Grace Kite a message. #marketing #data #training

Despite your successes, you may feel like you lack: - The skills - The knowledge - The experience - The drive - The determination - The commitment You question your ability to run and scale your agency. Don't worry, that's normal, we all have the dreaded imposter syndrome. By using Elementary Analytics, you can run a successful agency with less stress by simplifying data collation, analysis, and reporting. Our platform presents clients' data in a way that allows you to make informed marketing decisions, ultimately benefiting your clients' businesses and your own. With Elementary Analytics, you can avoid learning advanced Excel skills and focus on developing the skills that will help you grow your agency. The service simplifies data management and helps you build confidence in your ability to make informed decisions based on data. Visit our company page if you want to know more. #analytics #technology #digitalmarketing

Despite your successes, you may feel like you lack: - The skills - The knowledge - The experience - The drive - The determination - The commitment You question your ability to run and scale your agency. Don't worry, that's normal, we all have the dreaded imposter syndrome. By using Elementary Analytics, you can run a successful agency with less stress by simplifying data collation, analysis, and reporting. Our platform presents clients' data in a way that allows you to make informed marketing decisions, ultimately benefiting your clients' businesses and your own. With Elementary Analytics, you can avoid learning advanced Excel skills and focus on developing the skills that will help you grow your agency. The service simplifies data management and helps you build confidence in your ability to make informed decisions based on data. Visit our company page if you want to know more. #analytics #technology #digitalmarketing

Lesson #2 - Data Needs Context In my first day on the job at Green Line Digital, I got a crash-course in the common metrics that we use in digital marketing to track performance. Some terms were familiar: clicks, cost, impressions. But then we got to calculated metrics: CTR, CPC, ROAS, CPM, CPA, CPL. 😵💫 It wasn't long after this that we also transitioned our company to a new data platform (Adverity) and within a few months created brand new data backends and dashboards/reports for nearly all of our clients. Our team was tasked with not only a relatively quick turnaround, but also with visualizing KPIs and metrics in a way that made sense for internal team members and clients. I can distinctly remember one conversation about a time-series line graph on our dashboards we were using to represent spend over a previous month by day. Very simple. But the question from the user was, "I'm not clear on how this information is useful to me." It was a good eye-opener for me. In theory, I knew that data needed context to be meaningful, but this was a clear call out from a user of the data. What exactly does this visualization even tell me? What am I supposed to do with it? Now, that doesn't mean this data was completely useless -- in some contexts, users and clients DO use that data. But this kind of feedback actually helped our team go back to the drawing board later and rethink how to overlay data in a way that's not overwhelming, but also provides valuable context. Recently, that means we switched to prioritizing week-over-week data at the top of our dashboards to see performance in the a helpful historical context. The context makes the data meaningful.

The marketing industry lacks data and analytics skills above all others, according to Marketing Week’s recent survey of over 3,000 brand-side marketers.   This is a 2.5 percentage point increase on the number from 2023’s survey, in which data analytics was already firmly in first place.   The gap hasn’t been addressed.   Until now.   Marketing industry, we have just the thing for you.   Our Data Works course is a “how-to” guide for marketing data. It sets out what marketing people should do with numbers, how to do it, and how to make people listen.   🚩Read more at the link in the comments or email Imogen Howard via [email protected] with your questions. Course starts in less than 3 weeks on 23rd April.   🪧If you’re interested in analytics or consultancy, drop Dr Grace Kite a message.

Excited to share that I have completed the "Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics" course by Kumaran Ponnambalam. This course provided valuable insights into leveraging historical data for better decision-making and crafting data-driven marketing strategies. Was able to learn different types of Business Analytics and the use cases in understanding data and finding solutions. By applying these analytics, I can enhance data-driven marketing strategies to: - Optimize on-going campaigns and plan future campaigns - Identify trends and opportunities for test campaigns - Understand the reasons behind spikes and drops. This course is a great resource for enhancing business analytics skills and driving marketing success. #BusinessAnalytics #MarketingStrategy #Performance Marketing Check it out: https://lnkd.in/gcT8Bznp 

🔍 How versatile are your data analysis tools? 🌟 Imagine sitting down to a five-course meal but only being given one utensil. Sure, you can manage to eat everything with a single tool, but it’s frustrating and inefficient. This analogy perfectly captures the experience of marketers trying to extract insights using limited data tools. 🍽️ In some companies, you might have a spoon to handle all tasks, from soup to steak. In others, you might get a tiny fork meant for extracting crab meat. Both tools can get the job done, but they aren't optimal for every situation. This is akin to using a one-size-fits-all approach to data analysis, where the tools at hand are not tailored to the specific needs of each task. 💡 At adMind, our focus is on providing the right utensils—or data tools—for each specific need. We constantly think about how to optimize these tools so that when our clients face different data challenges, they have the right solutions at their fingertips. This approach unburdens marketers, allowing them to focus on deriving insights and making strategic decisions rather than struggling with inadequate tools. 🚀 The right tools transform the way you interact with data, making the process smoother and more efficient. By tailoring the tools to the specific needs of each task, we help marketers overcome frustration and achieve better results. 💡 How does your organization ensure it has the right tools for different data analysis tasks? #DataAnalysis #MarketingStrategy #BusinessIntelligence #DataTools #Efficiency #AnalyticsOptimization

5 Steps for Analysing Data and Making Informed Decisions 👩💻 : 1. Understand Your Vision: Before diving into data analysis, it's essential to have a clear understanding of your company's vision and objectives. This provides context for interpreting data and ensures that your decisions align with overarching strategic goals. 2. Identify Data Sources: Once you have defined your objectives, identify relevant data sources that can provide insights into achieving those goals. Depending on the nature of your analysis, you may need to collect data from internal systems, external sources, or user feedback channels. 3. Organize Your Data: Organizing data is crucial for effective analysis and decision-making. Utilize tools such as executive dashboards to visualize key metrics and trends in your data. By presenting information in a clear and accessible format, you can gain valuable insights and identify areas for improvement. 4. Perform Data Analysis: With your data organized, conduct thorough analysis to extract actionable insights. This may involve identifying patterns, correlations, or anomalies in the data that can inform your decision-making process. Consider integrating user research and feedback to gain a holistic understanding of your audience's needs and preferences. 5. Draw Conclusions: Finally, draw conclusions from your data analysis to inform your decision-making process. Ask yourself questions such as what insights have been gained, how they align with your business objectives, and what actions can be taken based on this information. Documenting your findings and establishing SMART goals ensures that your decisions are data-driven and measurable. Practical Example: Suppose you're a marketing manager tasked with optimizing your company's online advertising campaigns. By analysing performance metrics such as click-through rates, conversion rates, and return on ad spend, you identify areas for improvement in campaign targeting and messaging. Drawing conclusions from this analysis, you set SMART goals to increase campaign effectiveness and drive higher ROI. If you found this valuable please share it 😊

📊 How can streamlining data management processes enhance your analytics efforts? The ultimate purpose of any analytics program is to generate actionable insights that improve performance. Yet, often, the necessary yet mundane tasks like data cleaning and compliance activities can consume disproportionate amounts of time and energy. These tasks, while essential, do not directly contribute to understanding or improving business operations and should be handled as efficiently as possible. 🥦 Likening these necessary tasks to "eating your vegetables" in marketing analysis, they're vital but not the most enjoyable part of data work. The real value lies in what comes after—analyzing clean, accurate data to learn about customer behaviors, marketing effectiveness, and the performance of various team or vendor efforts. 🚀 By minimizing the time spent in "data clean world," businesses can shift their focus more towards the "teach us and learn world." This shift involves diving deeper into data to uncover insights that can lead to better decision-making, optimized marketing strategies, and ultimately, enhanced business performance. Are you spending too much time cleaning data rather than gaining insights from it? How can your organization streamline these necessary processes to focus more on actionable intelligence? #Analytics #DataManagement #MarketingStrategy #BusinessIntelligence #PerformanceImprovement