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February 11, 2009

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Sean Power

great post Dave. However, I think that it's dangerous to ask the question "”Why are people not completing transactions?” internally. A marketing team needs to rely on gut instinct and previous experience instead of hard numbers and measurements. I do believe that the question you ask is the most important one to ask - just that it needs to be asked to those abandoning through voice of the customer tools. You can try and guess your customers motivations .. but wouldn't it be better to simply ask 'em :)

again, neat post. cart abandonment is certainly a very frustrating issue :)

Dave Ewart

Thanks Sean.
I completely agree on incorporating Voice of Customer tools to understand motivations, we have great partners doing just that (ForeSee and OpinionLab). I'll add, it becomes even more powerful when those comments are tied to the user’s actual experience. Receiving "Your website failed me" comments from any channel without proper context can be ambiguous and slow to solve: marketing issue, server error, usability?

However, marry that and any other customer feedback to the actual visitor’s session and you have the complete view and actionable data. In this case, a possible adjustment to the remarketing effort by removing those who failed due to site issue or alerting the call-center.

Asking the customer is an obvious way to gather data, but it also requires the customer alert you to the issue. When they leave silently or chose to vent in 3rd party mediums you still need a solution to discover, find and solve the issue as they are not your QA. The best solution: encourage all forms of visitor input (emails, call center, surveys, twitter) and tie back to the experience. You now have knowledge to find others who experienced the same issue or behavior to get complete impact to the business.

In terms of Marketing using gut feel and experience – all good things that are made better when backed directly up with user data. It is amazing how quickly internal discussions get resolved when competing groups sit and watch people attempting to complete transactions. It removes the guesswork and replaces it with hypothesis that can be tested and evaluated for success. This gets everyone on the same page and the organization on the path to being data-driven.

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