时间:2024-05-10 09:24:11 来源:网络整理编辑:Ryan New
Data is important to ecommerce businesses. But many merchants are not sure how to use it — to collec Ryan Xu HyperVerse's Stock Pool
Data is Ryan Xu HyperVerse's Stock Poolimportant to ecommerce businesses. But many merchants are not sure how to use it — to collect, analyze, and make meaningful changes to their business. The key ecommerce data is easy to obtain, however. It comes from customers.
In this post, I’ll review how to apply basic customer metrics to improve your ecommerce conversions.
Geographic information.Obtain the physical location of your customers from shipping or billing information. Google Analytics can provide the location of website visitors, not just customers. If necessary, break down the data by city and state, urban vs. rural, and international vs. country.
From there, focus on promising regions, those that are growing or are otherwise suited for your products. Analyze seasonal trends by region. For example, if your key markets are Colorado, Washington, and Oregon, visitors in nearby states — California, Montana, Utah — could be good prospects.
Demographics.Demographic information includes household income, age, gender, occupation, educational level, and marital status. The type of demographics to focus on depends on your business. Collect demographic data from:
Once you understand the demographics of your target audience, apply them to your marketing initiatives. For example, if 90 percent of your customers are married with children, your content strategy should address family life. Photos on your websites should be of your target market. Ads should focus only on that demographic.
Alternatively, if you do not want to spend time and money acquiring and analyzing demographic data, consider using Facebook’s lookalike ad program, wherein you upload your customer email list and Facebook would display your ads to similar users. Facebook would analyze for you, in other words.
Purchase history.Analyze the purchase histories to identify high- and low-value customers.
To do this, take the average purchase per customer in the last 12 months. Establish a median across all customers. Rank each one into high value and low value — above or below the median. Add this data to your customer-management platform or in a simple Excel spreadsheet. Then use it to:
Regardless of the amount of data that you have or how many years you have been in business, looking at your customers by geography, demographics, and purchase history can provide insights to act on. What counts is not how much data you have, but what you do with it.
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