Adverity

🎯 Mastering your data types is the key to unlocking crystal-clear reporting. When you know exactly how to map discrete data (like the number of clicks) and continuous data (like... Click more ➡️ ...session duration or ad spend), you ensure every insight you deliver is spot-on. We published this article to show you how to map your data accurately and achieve more reliable, actionable reporting for your business. You will learn: 🔢 Know the difference: Learn exactly how to spot discrete (countable) vs. continuous (measurable) marketing metrics. 📊 Pick the right charts: Stop guessing. Discover exactly which visualizations to use for each data type so your trends are actually accurate. ⚙️ Map data perfectly: Set up the right aggregations to highlight your true ROI and make confident business decisions. Level up your reporting and perfect your data mapping. Read the full guide below. 👇 #DataAnalytics #MarketingData #DataVisualization #MarketingOps #MarketingReporting #Reporting #DataIntegration

The most useful marketing signals are found in competitive context, cultural relevance, speed of response, and commercial impact. However, standard reports almost always overlook these metrics. 🛑 Click more ➡️ To help you determine which signals are actually worth shifting your focus to, we've compiled a list of 10 overlooked metrics from the marketing experts who joined us on our podcast. (📣 Shoutout to: Madalina Teodorescu, David von Hilchen, Diana Marcela Gonzalez, Sarah Mansfield, Barry LaBov, Amar Vyas, Vincent Spruyt, Jonathan Sweeney, Laura Erdem and Simme Volkers) Here’s a look at what you’ll learn: 💎 Customer Equity: Why and how shifting from short-term wins to long-term value is the only way to scale. 🤖 AI-Driven Sentiment: How to measure brand health beyond simple mentions and clicks. ⚡ Speed to Insight: Why the time it takes your team to act on data is just as important as the data itself. 🌍 Share of Search: How to measure your brand's cultural relevance and footprint against competitors in real-time. 💼 True Commercial Impact: Moving beyond surface-level ROAS to track metrics that actually align with your bottom-line revenue. 🔄 The Halo Effect: How to finally quantify the hidden impact your brand campaigns have on bottom-of-funnel conversions. 📉 Data Decay: Why tracking the "freshness" of your data is a critical performance KPI this year. Find the full list of the essential metrics you should be tracking in the comments below. 👇 #MarketingAnalytics #DataStrategy #MarketingOps

⛔ Don’t let surprise dashboard glitches signal deeper data problems. Proactive data monitoring is the difference between constantly fighting data fires and actually knowing your foundation is solid. Click more ➡️ We just published a comprehensive guide on how to set up end-to-end data monitoring so you can catch errors before they ruin your reporting. Here is what a strong monitoring setup helps you achieve: 🛡️ Protect your data quality: Catch missing events, duplicate entries, and broken naming conventions the second they happen. ⚡ Make faster decisions: Stop second-guessing your numbers and start making real-time campaign optimizations with total confidence. 🎯 Maximize your budget: Spot tracking pixel failures or UTM errors instantly before they distort your performance and ROI. 🔐 Ensure compliance: Keep a close eye on exactly where your customer data is flowing to easily handle privacy regulations. Stop waiting for your reports to break. Catch the issues early and automate your quality checks. Read the full guide to data monitoring below. 👇 #DataMonitoring #DataQuality #MarketingOps #DataStrategy

We asked marketing leaders, data practitioners, and RevOps experts to tell us exactly where marketing data strategies are breaking down and what to do to fix them. Here is what they... Click more ➡️ ... see happening over and over again: 🏃♂️ Trying to do everything at once: Waiting for a "perfect" setup means you get zero insights today. Start small. 🏝️ Working in a silo: If your data strategy only involves the marketing team, it's going to fail. You need sales and revenue aligned. 🛠️ Over-customizing early: Stop building bespoke pipelines from scratch. Standardize your foundation first so you can actually scale. 📊 Misreading ROI signals: If your ROI looks too good to be true, it probably is. Stop relying solely on last-click attribution. 🗂️ Hoarding data without purpose: More data doesn't equal better insight. Define your question first, then collect the data you need to answer it. Discover all all 7 mistakes (and exactly how to fix them) in our latest guide in the comments below. 👇 #DataStrategy #MarketingData #MarketingOps #DataGovernance #Adverity

🤖 AI scales whatever data you provide, clean or messy. Use this checklist to audit your data pipeline and ensure AI readiness by having a breakdown of the 6 areas you need to evaluate... Click more ➡️ 🔓 Access: Centralize your data in one place and take control of exactly how it is used. 🛑 Ingestion: Catch errors instantly and stop bad data from ever entering your system. 🔄 Transformation: Standardize your naming conventions and metrics to make all your data easily comparable. 🏛️ Storage and structure: Build a reliable, structured foundation that acts as a single source of truth for your team. 🚨 Validation and monitoring: Set up automated checks to catch quality issues early, before they reach your dashboards. 🚀 Activation: Securely control how your clean, structured data is used to drive strategy and AI. Small improvements in data quality can have a huge impact on the insights AI produces. Get the full AI readiness checklist below. 👇

"If you normalize imperfect inputs, your models will confidently produce beautiful and incorrect answers." 🤯 Watch this clip from our chat with Amar Vyas, CDTO at M&C Saatchi Fluency, to hear why...Click more ➡️ ...building trust in your data is the most critical step you can take right now. If your marketing data is flawed, AI is only going to amplify your mistakes. In this episode of The Undiscovered Metric, Amar joined Mark Debenham to discuss how marketing teams can break the cycle of bad data and rebuild confidence in their insights. Click the link in the comments to read and watch our session on how to break the cycle of bad data, for good. 👇

Bad naming ruins good data. 🛑 Different teams, channels and naming styles. Soon, you have five ways to tag the same campaign. Here's how to fix that... Click more ➡️ We've created a guide to help you structure your campaign tags so you can trust your data. Here's what we cover: 🧩 Build a solid framework: Learn exactly how to structure your tags across all your different channels. 🤝 Get team alignment: Discover practical ways to make sure everyone actually follows the new rules. ⚡ Automate the cleanup: Find out how to stop relying on manual data prep and start automating your reporting. Read the guide via the link in the comments. 👇 #MarketingData #MarketingOps #DataStrategy #MarketingReporting

🔍 Evaluate your marketing data pipeline like a product. Is it driving your strategy, or holding it back? This guide is for you if... Click more ➡️ ...your team is managing three or more data sources through custom SQL pipelines, if connector issues regularly require engineering intervention, or if reporting slows whenever an API changes, you’re likely carrying more operational load than you realize. You may also recognize that adding new platforms feels increasingly heavy, or that architectural knowledge sits with a small number of individuals. These are signals of data maturity beyond what your architecture is built for, and signals that it’s time to reexamine your stack. Here's what you can do: ⏱️ Track the reality: Stop guessing. Log the exact hours spent fixing APIs. You'll quickly see the true cost of maintenance. 📊 Calculate the total cost: Look beyond the initial build. Combine salaries, maintenance time, and scaling costs into one yearly view. 🌪️ Stress test it: What happens if two major APIs change at once? You need to know if your system is actually resilient. 🚀 Focus on advantage: Fixing connectors won't put you ahead. Your best engineers should be finding insights and driving growth, not doing daily maintenance. We just published the complete guide breaking down what both data and marketing teams can do now to assess the operational reality of SQL versus no-code ETL. Instantly access the full guide in the comments below. 👇 #DataStrategy #DataEngineering #MarketingOps #MarketingData #ETL #SQL

Effective marketing campaigns rely on high-quality data. 📊 But without Data Governance, marketers are building on a shaky foundation. Get your data rules right and scale campaigns with total confidence. Click more ➡️ We break down exactly what you get when setting up the right data rules: 🎯 Smarter decisions: Base your campaign strategy on numbers you actually trust. 🔍 Granular insights: Better understand your audience so you can further personalize engagement. 📈 Better ROI: Stop wasting ad spend and get the maximum value from your budget. 🔒 Stronger security: Protect sensitive information and easily lower your legal risk. ⚡ Higher efficiency: Save hours of manual work by automating your data processes. Read the full breakdown in the comments and see how marketers can get started 👇 #DataGovernance #MarketingAnalytics #DataStrategy #MarketingOps

Running dbt jobs usually means managing another external orchestration tool. We're changing that. 🛠️ You can now... Click more ➡️ ...integrate dbt Core directly into our platform! Manage, schedule, and execute all your dbt jobs in one central place. No need to jump between platforms or rely on external tools. Here is what this means for your team: 🔄  Streamline your stack: Consolidate your tools and schedule your dbt jobs directly where your data lives. ⚡ Sync your pipeline: Automatically trigger downstream dbt jobs the exact moment your data is ready. 🔔 Total transparency: Monitor your jobs, view detailed logs, and get alerts so business users know exactly when data is ready for analysis. Combine this with our prebuilt templates and AI-generated transformations, and it has never been easier to prep your data. Check out the update via the link in the comments. 👇