Tableau saved $18M per year in customer service costs with case deflection.
What would your support organization do with an extra $1.5M per month?
Tableau’s Senior Program Manager of User Experience Dave Jobling saw these results after implementing Coveo AI-powered search and recommendations on their customer community to reduce support costs. Tableau helps their customers “see and understand data,” and their customer experience is critical to the success of the company.
These results were a major for the company’s ability to scale their business as their customer base grows. The contact center is the most expensive form of customer support, at roughly $1 per minute, according to an estimate from VHT. When you multiply that by a quickly expanding tech company’s growth rate, the costs quickly get out of control.
Tableau needed a more cost-effective option. As the company moved to a subscription model, it became clear that “stickiness” with their customers was critical to generating customer loyalty and higher lifetime value. The customer experience hinges on the ability of their customer to use the powerful software, with the help of informative and educational content from Tableau. But with content residing in different file formats and different content sources, it needed both powerful index with a robust suite of connectors, and predictive machine learning to guide customers to the right solution.
So Dave turned to Coveo.
Existing customers are now able to use the powerful and predictive recommendations to guide their experience on the online community. Coveo is now able to understand Tableau customers’ context and intent to recommend the right article from the knowledge base, increasing customer loyalty, while reducing costs.
The results? Customer success and self-service success – to the tune of $18M per year.
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