eCommerce Research

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Usability Sciences offers solutions that answer some of the most common eCommerce based questions. Using OnCue (and its unique capabilities) in combination with other tools like our very own WebIQ, we can offer advanced online research solutions that answer the most frequently asked, but not easily answered questions.

Questions like:

  • Why do my customers abandon their shopping cart?
  • Which site enhancements are going to provide me the greatest ROI?

We also created the Shopping Cart Abandonment Analytics™ and Ecommerce Predictive ROI Model™ tools to flesh out very granular answers to these questions.

Shopping Cart Abandonment Analytics

 

ShoppingCartAbandonment_FINAL_smallShopping cart abandonment does not always indicate a negative. Some visitors use the cart as a calculator while others intend to come back, especially if they have been incentivized to do so. But how do you know if there is a real obstacle in the path of customer conversion? And, while your website analytics can tell you how many customers get to each step in your checkout process, and how many drop out, how can you find out who these users are and why they left the site? That’s where OnCue Shopping Cart Abandonment Analytics™ steps in to fill in the missing piece(s) of the conversion puzzle.

OnCue’s Shopping Cart Abandonment Analytics™ can also help you-the site owner—make grounded and educated design decisions for the shopping cart and checkout process. Finally, it quantifies those other reasons customers might not want to purchase so you can clear any and all roadblocks to conversion.

SCAA_Dashboard
A few of the benefits of OnCue Shopping Cart Abandonment Analytics™:

  • Answers the question: why are my users abandoning their shopping carts?
  • Provides the specific reasons for dropping out at different drop out points
  • Provides demographic data on abandoning users
  • Helps build purchasing personas
  • Identifies shopping cart and checkout process anomalies
  • Integrates easily with ClickTale® or MixPanel® for session replay or event driven analytics.
  • Lets you act quickly when there is a problem.

 

Predictive ROI Model™

 

PrioritizeDevelop_FINAL_smallHave you ever felt that your development budget was nothing more than a game of chance, hoping that you pick the right development initiatives to prioritize in order to get the greatest increase in conversion.   How do you really know where you will get the most bang for your buck?

The new OnCue Predictive ROI Model™ takes the guesswork out of where and how to apply valuable development resources. Using a Predictive Model—developed in conjunction with Decision Analysts’ Predictive Analytics group—this distinctive technology gathers user feedback and visitor shopping behavior that populates a predictive model you can use to plan and implement your resource allocation.

ROI_Spreadsheet

OnCue Ecommerce Predictive ROI™ asks five simple questions of site visitors and tracks visitor behavior to determine the following:

  • All of the reasons for failure by top level category
  • Level of lost conversion by top level category

When you provide the cost of suggested fixes and the site’s annual revenue, different scenario outcomes can be run to determine the predicted ROI for each fix. Bottom line: OnCue Predictive ROI Model™ helps you confidently decide how to allocate and spend your limited development budget.

 

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