![]() The more angles you view your data from, the greater your context. Often, you need to incorporate data from multiple sources to extract an actionable insight from your raw metrics successfully. It’s easy to jump to the first conclusion you find, but is that the whole picture? It’s about understanding what’s really going on behind that spreadsheet full of numbers and categories.Īside from accuracy, you also have to consider the completeness of your data analysis. ContextĪrguably, the purpose of your analysis is to add context to your data. Data can certainly be wrong if it isn’t accurate. When decisions are made based on flawed data, it can be even worse than relying on gut feelings.ĭata-driven decisions are often made with high confidence because data is thought to be infallible. If your data isn’t adequately audited and cleaned of errors and inaccuracies, it could lead you to the wrong decisions. You need the proper ingredients – you need the right data.ĭata quality is best determined by accuracy.Īccuracy is the overall trustworthiness of your data. Data QualityĪ good insight is like a good meal. To determine the best insights, here are some criteria to consider. That said, not all insights are equal some are more valuable than others. Insights provide actionable clues on how to use the data to improve your strategies. It’s the information that furthers your understanding of your data. Insights are the result of your data analysis. ![]() When you have to present your campaign results to stakeholders or clients, they may not be familiar with the metrics and lingo, but they will know what good ROI means.ĭata versus Insights: How Data Becomes Actionable Insightsīefore moving forward, it’s essential to discuss the difference between data and insight.ĭata is raw statistics, metrics and other information that has not been filtered, cleaned or otherwise prepared in any way. ROI is also helpful because it’s a universal measure. You need to ensure that your campaigns are working for your bottom line, not against it. Since PPC has a paid element involved with your clicks, it’s crucial to look at ROI data analysis examples. Optimizing your ROI means achieving the best results for your budget. Maximizing your ROI means achieving the most results for the money you’ve spent on your campaigns. Return on investment is a simple ratio of what you’re spending versus what you’re creating as a result of that money. ROI is one of the best ways to evaluate the overall health and performance of any strategy. ![]() With this basic insight, you know to improve this landing page to facilitate more conversions. This signifies that people are finding your ads compelling, but the landing page experience is lacking. How does PPC data help you improve your website? Imagine a data analysis example where you discover a campaign with high clicks but low conversions. If your analysis doesn’t yield actionable information on how to improve your campaigns and websites, then you need to investigate further. In PPC marketing, an actionable insight instructs you on how to improve your campaigns and even your web pages. Remember, the goal of any data analysis technique is to transform your raw numbers into actionable insights. These are the metrics that closely align with your goals and can be tied directly to your business success. The trick is to focus on your key performance indicators ( KPIs). The challenge is filtering out the less valuable data, leaving only the stuff that matters. Even if you operate a small company, you’re still neck-deep in data. Your business produces mountains of data regularly. This is where the term “ big data” originates. The problem that prevents many businesses from consistently generating insights is the size of their data. To help improve your data management processes, let’s look at data analysis techniques for effective PPC marketing. This is especially true in the competitive PPC advertising space. Marketers can no longer rely solely on gut feelings, guesswork or assumptions. Insights provide the essential evidence and context behind all those raw numbers and figures. In today’s marketing world, data and insights guide decisions and teach professionals how to improve their business and/or marketing strategies. What Are Data Analysis Techniques For PPC? ![]()
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