Brick-and-mortar stores often change displays, move goods around, and put impulse items beside checkouts. The reason behind these changes is they’re analyzing customer traffic and studying behavioral patterns to wager how consumers shop. As an online retailer, you need to study your customer traffic as well in order to increase sales.

Listen: Your Customers Are Talking

There are a number of scheme traffic analytics companies, such as http://OneStat.com and http://StatCounter.com, that analyze your customers’ shopping patterns. They follow your customers’ clicks to and through your scheme pages and wage you with valuable info on how your customers experience your website:

1. You wager which keywords bring you, not only the most hits, but also the highest conversion rates. People often find the generic words they use bring them a great deal of traffic, but that traffic averages a shorter stay on the site. The longer grouping spend on your site, the more likely they are to buy something. Analyzing that data allows you to wager which keywords are effective for you.

2. You wager the average amount of time users spend on your site. Due to latent conversion, this is a good indicator of how business will be in the reaching months. If your users are taking their time, looking at things carefully, that tells you they’re really interested and will likely come back to complete the transaction.

3. You wager if your traffic’s leaving as soon as they hit your landing page—if they are, you know you hit a problem. As soon as users intend there, you want to reinforce to them they’re in the right place. Says John Marshall, founder and CEO of http://ClickTracks.com, “Make sure the keyword the user clicked is associated with, and strongly connected to the copy in that landing page, and throughout the experience… Just paying tending to that could probably intend you a 20% to 50% improvement in your conversion rate.”

4. You wager where grouping are exiting your site. This is especially important when you hit customers leaving in the middle of checkout. If you wager a high evaluate of users, with full shopping carts, leaving on a particular page, you can pinpoint what’s costing you sales:

• If they’re exiting on the tender where you explain shipping costs, you might wager your shipping appears higher than your competitors’.

• If they’re leaving halfway through filling out the buyer’s information, you might consider that your buyer questionnaire’s too long.

Web analytics puts you in a position to wager what’s employed on your website and what isn’t. It’s a way to wager where you need to make changes and then measure how effective those changes are.