There is a lot of noise around big data and how it can help businesses perform better. While we don’t mind that, we keep thinking about small and growing ecommerce stores that don’t yet have access to petabyte-scale business data. With the same in mind, our team of analysts has gathered data sources for ecommerce stores that will generate user insights related to demographics, shopping behavior and buyer psychology.
If you want to push up product sales, and make improvements in your marketing campaigns, then, here are some practical points to mine valuable data:
Every modern ecommerce store – be it simple online shop or multivendor platform – is capable of generating useful data on the basis of previous purchases. Most insightful data matrices related to users are:
Data derived from Buying History can be easily fetched from the admin area, and used to pitch products in shopper’s favorite category and price range. This will directly boost store sales.
Shoppers don’t add products to the cart by accident. There are many reasons why some products are left for later and sometimes never purchased. Some prominent ones are:
A quick glance at abandoned cart with demographics and buying behavior in mind will be enough to figure out what ought to be done to trigger a sale. Some options could be:
This feature is a goldmine of insights for website owners. Studying wishlist will tell you about shopper aspirations and potential purchases. Amazon has done remarkable work in this field by giving shoppers the feature of Multiple Wishlists and Wishlist Search.
Shoppers can be notified whenever something in their wishlist witnesses:
While hosting special sales, wishlist data can be highly valuable. So, make the effort to analyze wishlist data and plan surprises for registered users.
Pro tip – Get the feature of creating wishlist without registering
To amplify growth and push sales numbers, ecommerce stores invest in affiliate marketing. The traffic that arrives from such affiliate resources also brings diverse data which can be mined with the help of Google Analytics or other ecommerce Analytics tools. This traffic can be analyzed to figure out:
Not familiar with Analytics reports? Have a look at this post to get acquainted with 15 most critical ones.
Some website pages are more critical than others from sales perspective, and it’s important to know how they are performing individually. Again, tools like Google Analytics and ClickTale can help you unearth numbers that will give clear understanding of:
By gathering diverse set of page data, you will be able to make drastic changes to improve visitor experience.
More you know about your audience, better experience you can deliver in the long run. This is the reason why ecommerce stores highly value user data and take steps to gather as much as they can. Below data figures influences product expansion as well as marketing approach:
Modern ecommerce stores bring the functionality of generate reports based on user data. Analytics too throws light on demographics to give helpful records on age and gender.
If you invest in email marketing, then, you have ready data in hand. Popular mass mailing solutions like MailChimp bring powerful features that shares statistics related to:
Such analytics insights will help you make improvements in your email campaigns and engagement.
Not investing in email marketing?Just read on to find other authority data sources!
There are many ways to find products and make purchases. While some trust main navigation, others love to use search functionality. Few arrive on website through referral link or search engine. Your job is to shorten the path that leads to the final purchase.
Studying the click paths through Analytics will help you gather:
CrazyEgg is probably the most insightful tool out there to analyze visitor movements and click path. Google Analytics is the second best.
Search is a popular channel of product discovery on ecommerce platforms. Search queries made by registered users can tell:
Valuable data can also be collected from searches ran by unregistered users. Popular online stores use the site data to pitch similar products to the shoppers using a dedicated section.
Besides being active online, some brands also have offline presence. Companies that realize the importance of user data collect mobile number, email, birthday, and other details to build a database that can be used to tailor experience and improve customer service.
Leading offline brands use sophisticated software to gather this data, and then use it to make buyers aware about:
Some are even using their offline data to engage people online.
Have you been running online marketing campaigns on blogs, social media, and affiliate networks? If yes, then, you have solid data at hand regarding:
Use this data to improve your offerings, make campaign tweaks, and enhance site experience. This analysis will not only give you insights but also prepare you better for future campaigns.
We are done with the 10 we promised. For those who want more, here are more sources:
Above points will give you truckloads of information and numbers to play with. If you still aren’t pleased with sales figures and performance of your ecommerce store, then, it would be best to consult a team that can look into your website, marketing campaigns, and figure out what’s wrong.
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