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July 11th, 2016 by Elma Jane

Facebook announcement of News Feed algorithm shift will affect how businesses use this platform. Content posted by brands and publishers will show up less prominent in News Feeds.

This Facebook update may cause reach and referral traffic to decline for many Pages who’s traffic comes directly through Page posts. To limit the impact of this change Boost Engagement is the key, individual users commenting, liking and sharing on business posts will help circumnavigate the new algorithm. Diversify your referral traffic sources. Look for alternative social media platforms, pay per click ads or blogs to make up for the loss in referrals and increase your reach.

To limit the impact of this change, Boost Engagement is the key. Individual users commenting, liking and sharing on business posts will help circumnavigate the new algorithm. Diversify your referral traffic sources. Look for alternative social media platforms, pay per click ads or blogs to make up for the loss in referrals and increase your reach.

Diversify your referral traffic sources. Look for alternative social media platforms, pay per click ads or blogs to make up for the loss in referrals and increase your reach.

While this change will have an impact on big businesses that rely on Facebook for their referral traffic and content sharing, small businesses will still feel the change. By boosting your engagement and diversifying your referral traffic sources, you can lessen the impact to your business.
 

Posted in Best Practices for Merchants Tagged with: , , , , ,

September 9th, 2014 by Elma Jane

The use of customer data can help you make smarter decisions that can improve your store, enhance the shopper experience, and increase conversions. When used incorrectly, however, data can waste resources and alienate your visitors.

Ways that ecommerce merchants commonly misuse data.

Collecting Unnecessary Data

Big Data analytics and reporting tools can put a lot of information in your hands, but that doesn’t mean you should collect and track every single metric. Don’t waste space and bandwidth collecting information that is not essential in your business. Unnecessary data can create noise that slows down the analytics process. Gathering and analyzing information you don’t need can distract you from the metrics that matter. Collecting too much data can create security headaches. The best defense against breaches is to not have data to steal. If you don’t need it, don’t collect it.

Determine your store’s key performance indicators before collecting any information. A good way of doing this is to examine each metric and ask yourself whether it’s just  nice to know or is something that you can actually act on. While it may be nice to know that a particular customer has a high Klout Score, that metric probably won’t do anything for your bottom line. It’s better to not bother with it. Key metrics vary from one business to the next. For most ecommerce sites, the important metrics usually include conversion rate, traffic sources, and on-site browsing activities.

Creeping-out Shoppers

Most retailers do this inadvertently when they’re trying to customize the shopper experience. A certain amount of personalization can provide value and convenience to users, but you also have to draw the line between cool personalization and creepy. Sending emails with tailored product recommendations is a good way to increase conversions. But you have to be careful with how you execute it, so that you don’t appear too intrusive. The same goes for remarketing banner ads.

Ignoring Qualitative Information

Numbers can produce many insights, but focusing solely on that data can create an incomplete view of your company. Best data strategies make use of both quantitative and qualitative information. Go beyond the numbers to get the pulse of your customers by collecting feedback through social interactions, customer service logs, surveys with open-ended questions and more. Qualitative information can complement and validate the hard numbers.

Using Data to Justify a Decision or Hypothesis

When it comes to data collection, many merchants fall into the confirmation bias trap, wherein they interpret the information to confirm their existing beliefs or to justify their decisions. Using data this way causes you to ignore information or results that aren’t in line with your beliefs and could result in you missing opportunities. Say a company has so much faith in its new marketing strategy that when website traffic improves, the staff deems the campaign a success without looking at the conversion or retention rates. If the staff had ignored initial biases and looked at the big picture instead, they could have identified flaws and found ways to correct them. The key to addressing this is to have an open mind when interpreting information. This can be difficult, especially when you’re too close to your business. Consider a third-party specialist who can remain objective, to help make the right decisions.

 

Posted in Best Practices for Merchants, e-commerce & m-commerce Tagged with: , , , , , , , , , , , , , , ,