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Online Reputation Management and crowdsourcing
In a context of online reputation management, we refer to crowdsourcing as social bookmarking or collaborative tagging. So what does that have to do with brands and brand monitoring? Well, these days, pretty much everything. The latest example comes to us from Sears, a large department store chain in the US:
A couple had just bought a freezer from a Sears store in Dripping Springs, Texas. It would be delivered directly to their home free of charge. When the Sears truck arrived, the family dog, Toot, ran out to investigate the new visitor. As the truck was about to a stop, a loud yelp was heard. Toot had been run over and died shortly thereafter.
Understandably, the dog’s mom was upset and went to see the store owner. She wanted to bring closure to the tragic event. The owner apologized, but went on to say that it was not Sears fault. It was the couple had let the dog out in the yard. This did not help the woman to find closure and when she got home, her husband was unhappy about how Sears had treated her.
He called the store, the owner repeated that it was the couples fault, the dog should have moved. He would have been wiser in offering an apology without placing the blame on a distraught customer.
The couple bought a domain name, SearsKilledMyDog.com and created a website telling about their experience. Once live, they forwarded it to their friends and family, and posted it on Facebook. As with any viral story, the response was immediate. Within 24 hours, their website was generating heavy traffic, and the tragic tale was trending as number 1 on Reddit while becoming a Twitter phenomenon via The Consumerist.
At this point Sears customer service entered to execute online reputation management and active damage control. High level executives called the couple personally to apologize and offer restitution for pain and suffering. The couple felt they had been heard and the SearsKilledMyDog.com website was taken down. Next, Sears added their voice to the conversation raging at The Consumerist. They requested to add a response in the article itself;
“We are very sorry about the loss of the dog of a devoted Sears customer. As soon as we heard about this (which was at 5 PM CT on Dec-11-2009), our team acted swiftly to contact the customer who purchased the freezer from our Hometown Store in Dripping Springs, Texas. In fact, Will Powell, our business unit President, spoke to the customer just before 7 PM CT on Dec-11-2009 and extended our apologies and the customer graciously accepted. As a symbol of our deep regret for the accident, we offered to reimburse him for the cost of his dog as well as to refund the original sale.”
After the update, Sears identified the people with most influence who had Tweeted the article and sent them a link with the update. This enabled 3rd parties to post an update to the article via their own accounts, adding online reputation management credibility since such re-tweets would not come from Sears directly.
The conventional definition of crowdsourcing is that it is the completion of tasks that normally would be performed by in-house employees or contractors, and out-sourcing them to a random set of people (that’s the crowd). The Sears story shows how the term applies to online reputation management too. With engagement, sincerity and personal interaction, Sears was able to turn the negative crowdsourcing around to a positive.
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Nice case study, you should write more posts like this. Social media monitoring is still pretty abstract for most people and it’ll help to illustrate what the “real” issues are.