I recently came across this 𝘚𝘰𝘤𝘪𝘢𝘭 𝘔𝘦𝘥𝘪𝘢 𝘗𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦 dashboard by Godfried Junio Matahelemual, and it’s a brilliant example of how to organize high-density data without overwhelming the viewer. 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝘁𝗵𝗶𝘀 𝗹𝗮𝘆𝗼𝘂𝘁 𝘀𝘁𝗮𝗻𝗱 𝗼𝘂𝘁 𝗶𝘀 𝗶𝘁𝘀 𝗺𝗼𝗱𝘂𝗹𝗮𝗿 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵. By dividing the dashboard into four distinct columns—Exposure, Engagement, Conversion, and Cost—it creates a natural path for the eye to follow. It effectively turns a "𝘸𝘢𝘭𝘭 𝘰𝘧 𝘯𝘶𝘮𝘣𝘦𝘳𝘴" into a context about the marketing funnel. 𝗧𝗵𝗲 𝗦𝘁𝗮𝗻𝗱𝗼𝘂𝘁 𝗙𝗲𝗮𝘁𝘂𝗿𝗲: 𝗖𝗼𝗻𝘁𝗲𝘅𝘁𝘂𝗮𝗹 𝗖𝗼𝗹𝗼𝗿-𝗖𝗼𝗱𝗶𝗻𝗴 The most effective design choice here is the use of colored shapes to display Month-over-Month (MoM) percentages. Rather than just listing a growth or decline number in plain text, Godfried has nested the percentage change within a subtle, color-coded badge. This serves two purposes: 1. 𝗜𝗻𝘀𝘁𝗮𝗻𝘁 𝗖𝗼𝗻𝘁𝗲𝘅𝘁: You immediately know the "health" of a metric (Growth vs. Decline) before you even read the digits. 2. 𝗩𝗶𝘀𝘂𝗮𝗹 𝗛𝗶𝗲𝗿𝗮𝗿𝗰𝗵𝘆: It separates the "Total" (the current state) from the "Trend" (the direction of movement), making the dashboard much faster to interpret during a high-stakes meeting. It’s a great reminder that in data visualization, the goal isn't just to show data—it's to reduce the time it takes for the user to understand it. 𝗘𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝘁 𝘄𝗼𝗿𝗸 𝗼𝗻 𝘁𝗵𝗶𝘀, 𝗚𝗼𝗱𝗳𝗿𝗶𝗲𝗱!
Data Visualization in Advertising
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Summary
Data visualization in advertising means turning raw numbers and complex information into clear, visual formats like charts, dashboards, and graphs, so advertisers can quickly understand trends, measure performance, and make smarter decisions. By presenting advertising data visually, brands can spot patterns, track campaign results, and communicate insights without getting lost in spreadsheets.
- Design for clarity: Group metrics logically and use consistent colors and fonts to help viewers find important information without confusion.
- Tell a story: Use visual contrasts and overlays to guide your audience through the results and highlight key shifts in performance or audience behavior.
- Enable quick decisions: Build dashboards and visual tools that allow instant filtering and comparison, so teams can react quickly and adjust strategy as needed.
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If you’ve ever opened a dashboard and closed it 5 seconds later — this is the opposite. What makes this Meta Ads dashboard actually work? → Layout clarity Metrics are grouped logically: performance KPIs on top, funnel + demographics in the middle, placements + geo at the bottom. Your eyes know exactly where to look first. → Consistent visuals Every chart uses the same font, line thickness, and color scheme (blue for trends, pink for gender). No rainbow chaos, no guessing what’s what. → Smart use of space High-level KPIs (spend, impressions, CTR, CPC, CPA, ROAS, purchases, revenue) are compact trend charts, leaving room for deeper drill-downs like funnel, placements, and geo. → UX over decoration No 3D, no clutter. Just clean lines, readable scales, and a clear flow from “money spent” → “ads shown” → “results by audience & geography.” → Accessibility Interactive filters (ad account, campaign, attribution, country, date) let you adapt the view instantly without rebuilding reports. Dashboards aren’t just about showing data, they’re about guiding the user through a story. This one nails the balance between clarity, depth, and storytelling. If more dashboards looked like this, people would actually use them. Follow me Nick Valiotti, PhD for practical insights on data analytics and dashboards that actually drive decisions.
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Every brand has data. But not every brand knows how to interpret their data. To solve this, I combined media buying with Power BI so my clients can understand and take action on their data (instead of letting it collect dust). Here’s how I break up my data visualization inside of Power BI: Dashboard #1: Review This is a granular view of the day-to-day performance across brands, platforms, and sub-platforms. The goal is to highlight the most important metrics at the top, like web revenue and web roas. A daily calendar allows for clear transparency between our agency and our brands. Compare raw and calculated metrics to find day-over-day anomalies. Dashboard #2: Platform Being fluent in 1 platform will cost you. But being fluent in multi-platforms will give you a birds eye view of your data. A deeper understanding of the multi-platform allocation is great because you can use filters. All charts, tables, and calendars crossfilter to tell a deeper story. For example, I can compare Google, Facebook, Instagram, and TikTok ads day over day for the entire month and see how they contribute to the total revenue, conversion rate, and roas - all in one place. Dashboard #3: Compare and Project I can look at multi-performance with the ability to forecast and project, based on data from previous events, months and years. It’s like a zoomed out view of what’s actually happening inside of your business. When you’re able to see this data quickly and consistently, you can make more strategic decisions - quickly and consistently. Why data visualization matters: • You can back your strategy with real numbers and not shoot in the dark • Clear visualizations are 1000x more effective for understanding data compared to a pivot table • You get data FAST, and the quicker you interpret the data, the faster you can make impactful decisions. Media buying + data visualization is a game changer.
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I tend to think a lot about how brands visualize their data—not just in one-off projects, but as part of their identity. So when Tripadvisor brought me on to build a data visualization system, I wasn’t just thinking about charts—I was thinking about something scalable and structured that could continue delivering value long after this project wrapped. We started with 22 data sets for their Travel Through Life report, which explores how travel habits evolve across life stages. The data told a great story—from the spontaneity of college students to the comfort-seeking of retirees—but raw numbers alone don’t tell that story. The challenge was building a system that made the insights easy to follow and visually cohesive. Since the data took many shapes, I designed a system that balanced consistency with flexibility, resulting in four core structures: → Overlay Bars – Designed for side-by-side comparisons, emphasizing how different traveler types make decisions and where their preferences overlap. → Wave Graph – Captures movement and progression—perfect for showing how travel habits evolve over time. → Stacked Up – Highlights priorities by literally stacking them, making abstract data feel tangible. → Grid Bars – A structured format for multi-dimensional comparisons, making dense data easier to digest. This system not only brought clarity to the Travel Through Life report but also set a foundation for future visual storytelling. By designing with flexibility in mind, the work hopefully remains useful beyond a single project—giving Tripadvisor a structured yet adaptable approach to making complex data more engaging. Special shoutout and thank you to Anna Aksman and Jessica Lundquist!
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🚀 Data is the new oil, but are you tapping into its full potential? Kleene.ai ad brilliantly highlights this with a clear, compelling message. Let’s break down why this ad is effective and what makes it a great example of B2B advertising. Why This Kleene.ai Ad Works: 1️⃣ Clear Problem Statement: The ad begins with a relatable question: “Feel like your data has untapped potential? When should you solve this problem?” It immediately addresses a common pain point for businesses—underutilized data. 2️⃣ Strong Visual Contrast: The split image contrasting “Your World” with “Your Competitors” is visually striking. The red (Your World) and blue (Your Competitors) backgrounds highlight the stark difference in data usage and outcomes. 3️⃣ Data Visualization: Showing a notepad with handwritten notes versus a sleek dashboard with clear metrics visually represents the transition from manual to automated data handling. This visual cue effectively communicates the benefit of using Kleene.ai’s solution. 4️⃣ CTA: The CTA “When is the right time to invest in Automated Decision Intelligence?” followed by a prominent “LEARN MORE” button invites the viewer to take immediate action. The use of a direct question as part of the CTA engages the audience, prompting them to seek more information. 5️⃣ Trust and Authority: The ad subtly establishes authority by implying that competitors are already leveraging advanced data intelligence. This creates a sense of urgency and FOMO, encouraging businesses to act quickly. Psychological Insights: → Social Proof and Scarcity: By comparing the viewer’s current state with that of their competitors, the ad uses social proof to suggest that investing in Kleene.ai is a smart and necessary move. The notion that competitors are ahead creates a sense of urgency and fomo. → Contrast Principle: The strong visual contrast between the two sides of the image highlights the benefits of the product, making the advantages more noticeable and compelling. Lessons for Your Campaign: → Address Common Pain Points: Start with a question or statement that resonates with your audience’s challenges. → Use Visuals to Tell a Story: Effective use of contrasting images can quickly communicate the problem and solution. → Strong, Engaging CTAs: Ask questions that prompt action and make your CTA buttons clear and inviting. → Build Urgency and Trust: Imply that others are already benefiting from your solution to create a sense of urgency and establish credibility. Kleene.ai’s ad is a great example of how to effectively communicate a complex B2B solution with clarity and visual appeal. Like these ad breakdowns? Follow & share for more ♻️ ______ #GetAds #B2BMarketing #SaaS #MarketingStrategy #KleeneAI