When are internet users visiting eCommerce stores?

Realtime data based on last 2 weeks.

* you can filter the data below for one or multiple industries.

Questions you should ask yourself

• How could I direct my marketing efforts to get more people on my website during those times?
• Can my technical infrastructure handle more traffic at certain times or will my users experience a slow website?
• Also can my technical infrastructure autoscale so that I don’t pay more on the servers when the traffic is low?

When are customers buying on eCommerce stores?

Realtime data based on last 2 weeks.

* you can filter the data below for one or multiple industries.

Questions you should ask yourself

• Could I try some short flash discount promotions at the times with most sales? Something just 2-3 hours long to boost my sales during peak hours. It could also be a good method to reduce stocks of old products.
• Is the buying experience – add to cart, checkout, choice of delivery, payment option selection & processing, order summary – linear and straightforward on both mobile and desktop or is it complicated and sometimes throws errors? Have a look in Google Analytics at this funnel and check for any high dropout rates between the steps. That should be your first point of improvement.

How many visitors turn into customers?

Realtime data based on last 2 weeks.

* you can filter the data below for one or multiple industries.

Question you should ask yourself

• If my conversion rate is below the industry, are my users blocking somewhere and therefore leaving the website before finalizing an order? You should also check the Top Exit pages in Google Analytics to find an answer for this

How long does it take for a visitor to turn into a customer?

Realtime data based on last 2 weeks.

* you can filter the data below for one or multiple industries.

Questions you should ask yourself

• How can I make it easier for visitors to find the product they’re looking for so that I capitalize on impulse buying? You should look in Google Analytics for the most common page for add to cart actions and how to get people to those kinds of pages as fast and easy as possible
• How are my remarketing capabilities? Am I capable to get people back to my website a few days after they’ve evaluated a product. Sometimes people just forget stuff and a reminder can help them convert. You can also ask a few affiliates to help you with this, as remarketing is a core component of the system for some of them.

How much revenue do eCommerce customers bring?

Realtime data based on last 2 weeks.

* you can filter the data below for one or multiple industries.

Questions you should ask yourself

• During the times with the highest revenue, what are the top products that are sold? Is it possible that it’s a niche of a few products that I could exploit with some marketing effort at those specific intervals? Or is possible that at those times I’m getting some corporate orders for which I could add some extra services besides the products?
• Do I have or can I implement some credit buying options so that people buying high value products even though they do not have all the money available at the time of the conversion? Sometimes people might be keen on buying something and they just a little financial aid to do so
• Are there some products that are sold exclusively on desktop? Are they more pricey than your usual products? On desktop people tend to pay more attention to reviews and product specifications. Make sure you have proper reviews and the specs are complete and correct, especially for those pricey products.

How much money does a customer spend in an eCommerce store?

Realtime data based on last 2 weeks.

* you can filter the data below for one or multiple industries.

Questions you should ask yourself

• Could I create some bundles of products that make sense to be bought together so that more people buy them in a single order?
• Could I expand my offer so that people can buy complementary products together from me, rather than buying something from me and the complementary product from somewhere else?
• Is the average order value significantly different between desktop and mobile? If so why? After finding some reasons you might want to better target your marketing efforts based on the type of device of users
• Is my average order value significantly different from the industry? Am I more expensive or cheaper than the rest of the market? This could create trust issues around your brand so you should also have a look at customer return and churn rates.