How Cabela's masters multiple channels with analytics

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If you like hunting, fishing, hiking or camping, chances are you not only know Cabela's but you're also a customer. Cabela's is one of the most well-known outdoor recreation brands in the world and was founded as a direct retailer in 1961.

Cabela's distinctive retail stores are destinations in and of themselves.Cabela's now engages with customers across all 50 U.S states and in 125 countries around the world.

In addition to their traditional catalog business and online store, they operate 29 retail stores that have become destinations because they are so distinctive with cavernous interior spaces, aquariums and other unique features.

Each year, they distribute over 120 million catalogs in 100 different varieties targeted to specific customer profiles, all while successfully meeting their goal of offering a wide and distinctive selection of high-quality outdoor products at competitive prices while providing superior customer service.

Cabelas centralizes customer data in a data warehouse and uses in-database processing for SAS analytics.So how do they do it? Cabela's centralizes customer data in a data warehouse and uses SAS Analytics to segment and target their marketing efforts across all channels.

SAS in-database processing then streamlines analytical exploration and optimizes the performance of their intelligence framework, with improvements that include processing for a campaign that used to take 3-7 days now being performed in an hour.

Cabela's uses SAS to improve it's "you may also need" engine for the online customer experience.Their response rates and average order size have also increased using analytics.

In their online store, they're able to improve the customer experience by using analytics. Once customers make a selection, they are able to offer "Y-MAN," or "you may also need" to suggest other products. By using analytics to predict the propensities behind Y-MAN, they've been able to increase the performance of that process by 300%.

Corey Bergstrom is the Director f Marketing Research & Analytics at Cabela's.We've been able to capture some good insights from Corey Bergstrom, Cabela's Director of Marketing Research & Analysis in a 5-minute video on YouTube.

Check it out and hear directly from him how Cabela's masters multiple channels with analytics. Let us know what you think.

 

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About Author

John Balla

Principal Marketing Strategist

Hi, I'm John Balla - I co-founded the SAS Customer Intelligence blog and served as Editor for five years. I held a number of marketing roles at SAS as Content Strategist, Industry Field Marketing and as Go-to-Marketing Lead for our Customer Intelligence Solutions. I like to find and share content and experiences that open doors, answer questions, and sometimes challenge assumptions so better questions can be asked. Outside of work I am an avid downhill snow skier, hiker and beach enthusiast. I stay busy with my family, volunteering for civic causes, keeping my garden green, striving for green living, expressing myself with puns, and making my own café con leche every morning. I’ve lived and worked on 3 contents and can communicate fluently in Spanish, Portuguese, Hungarian and get by with passable English. Prior to SAS, my experience in marketing ranges from Fortune 100 companies to co-founding two start ups. I studied economics at the University of Illinois at Urbana-Champaign and got an MBA from Georgetown. Follow me on Twitter. Connect with me on LinkedIn.

2 Comments

  1. ASudipta Banerjee on

    Thank you for your blog! However can you please explain the KPIs they were using to measure the effectiveness of the model. And what is the specific actionables they derived out of the servey for each customer groups?

    • John Balla

      Hi Asudipta,
      I checked the video and it looks like their baseline is past purchase patterns and the metrics are response rates, average order and revenue per catalog. For their YMAN program, they're using product affinity and ROI based on sales. I hope that helps.
      Thanks for your comment and thanks for following!
      JB

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