After conducting an investigation, the font size is too small, the materials used are poor, or the packaging is not durable during shipping. Monitoring these indicators allows you to react effectively to improve customer satisfaction.
Ben Yoskovitz, co-author of Lean Analytics, says, “Finding a correlation between two metrics is great. It can help you predict what will happen. But finding a cause means you can change or anticipate it. Causation is usually not a simple thing - there are always many factors at play - no matter how small it is, it is not trivial.”
You prove causality by looking for correlations, then running experiments where you aruba email list control other variables and measure the difference. This is hard to do, but causality is the most powerful analytical tool - it gives you the power to hack the future.
For example, Facebook knew that growing their monthly active users would be key to their monetization strategy. After looking at the data, Facebook found that by making seven friends in ten days, users were more likely to be active and connected for the rest of their lives. Facebook calls this the “aha” moment – when users discover the joy of Facebook – and seven friends in ten days is their leading indicator.
For social platforms like Facebook, Snapchat, and Twitter, these key metrics typically involve attention (because that’s what they sell). To be the best ecommerce company, you need to find the key metrics that matter most to your customers.
You may discover that the product description is inaccurate
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