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How to evolve your DTC startup’s data strategy and identify critical metrics



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Michael Perez
Contributor

Direct-to-consumer companies generate a wealth of raw transactional data that needs to be refined into metrics and dimensions that founders and operators can interpret on a dashboard.
If you’re the founder of an e-commerce startup, there’s a pretty good chance you’re using a platform like Shopify, BigCommerce, or Woocommerce, and one of the dozens of analytics extensions like RetentionX, Sensai metrics, or Profitwell that provide off-the-shelf reporting.
At a high level, these tools are excellent for helping you understand what’s happening in your business. But in our experience, we’ve learned that you’ll inevitably find yourself asking questions that your off-the-shelf extensions simply can’t answer.

We’re generally big fans of plug-and-play business intelligence tools, but they won’t scale with your business. Don’t rely on them after you’ve outgrown them.

Here are a couple of common problems that you or your data team may encounter with off-the-shelf dashboards:

Charts a …

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