Tag: analytics

Perfect analytics data is a mirage

Yesterday I was talking with someone about their Google Analytics setup. Since they were using a 3rd party platform to sell their product, they weren’t able to get most of their funnel metrics. The platform sends some basic data to them (e.g. traffic amounts, urls) but no referal, campaign, or even traffic source data. It’s better …

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Figuring out which marketing channels actually produce customers

Google Analytics provides a way to tag traffic using things called UTM codes. (UTM means Urchin Tracking Module. Urchin was the analytics system Google acquired and turned into Google Analytics. But you don’t need to know that to use them). UTM codes are mostly used with advertising so ad systems can tell you which ad, …

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Importing data into Google Analytics for a better analysis

Recently a customers asked about getting historic data into Google Analytics: I’d love to know how to get Shopify data (prior to embedding Google tracking code) on to Google Analytics to see previous years data. At first I didn’t think that was possible but after a bit of searching I found Google’s Data Import that …

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Mismeasure once, cut forever

During a recent review of article to curate for Shopify Dispatch, I ran across a slide deck from Kevin Hillstrom. Kevin’s a really smart consultant who works with retailers, catalog brands, and ecommerce stores so I’ll usually take the time to review his writing every week. One quote in his slides really caught my attention. …

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4 reasons why your ecommerce store’s AOV is an awful metric

Tracking metrics can become an obsession for e-commerce entrepreneurs. As you gather data and measure your performance, it’s easy to get hooked on a few numbers that seem to give you a clearer picture of what’s happening with your business. One of those key metrics is the AOV — your average order value. Calculating your …

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Digging into RFM segmenting in Shopify

Last time I introduced you to the RFM analysis as a way to combine three simple segments into one powerful segment. Now you’re going to learn what happens when you’re able to perform an RFM analysis on your customers. You’ve already seen how to combine the Recency and Frequency segments but a full RFM analysis …

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3 classic customer segments you should focus on

As you might have noticed already, there are hundreds of ways to segment your customers. It all depends on what data you have and what you want to do with them. That’s also a problem though. With so many ways to segment your customers, it becomes difficult to know which ones are actually useful. I …

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