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Date: January 16, 2007

To: Interested parties

From: David Ewald

Re: Cabela’s store research

"Study of Cabela’s Traffic Patterns Exposes Distortion in Estimated Number of Visitors"

Summary

Based on results of a pilot study conducted November 4, 2006, estimates by Cabela’s of visitors to its 17 open stores are likely grossly exaggerated. Similarly, their public statements regarding the number of out-of-state tourists were mainly unsubstantiated by the study. In the few states where the number of out-of-state visitors was high compared to the rest of the stores, it can be attributable to the store being located on or near the border with one or more states. As Cabela’s continues its rapid expansion to "100 or more" stores (public statements), policy makers should question where these out-of-state visitors will come from in order to meet Cabela’s rosy projections of tax revenue and tourist dollars.

Background

Cabela’s, a Nebraska-based direct marketer and specialty retailer of hunting, camping, fishing and related outdoor merchandise, has been actively pursuing government subsidies in order to build its stores throughout the nation. Cabela’s has claimed that additional development will be generated where the stores locate. However, the additional economic development is unproven and most of the time tourism numbers are self reported and are unsubstantiated. Ewald Consulting was engaged by Oppidan Investment Company to conduct a pilot study of the Saturday traffic patterns of all Cabela’s stores open in the Fall of 2006 to determine whether there is validity to Cabela’s (and those of their state and local government and other supporters’) claims that they attract 4 million to 6 million or more ‘tourists’ per year at each location.

Study Locations (All open Cabela’s stores on November 4, 2006)

Boise, ID
Buda, TX
Dundee, MI
East Grand Forks, MN
Fort Worth, TX
Glendale, AZ
Hamburg, PA
Kansas City, KS
Kearney, NE
Lehi, UT
Mitchell, SD
Owatonna, MN
Prairie du Chien, WI
Richfield, WI
Rogers, MN
Sidney, NE
Wheeling, WV


Study Methodology

The data collection took place on Saturday, November 4 during the period which was identified as the busiest time of the shopping day (11:00 a.m. to 3:00 p.m.). Three individuals were assigned to each Cabela’s store in the study locations. They counted the number of cars and number of people entering Cabela’s parking lots during the study period. The individuals also recorded the state identified on license plates of each car entering the lot. The data was analyzed to calculate an estimate of Cabela’s visitors each year. Saturday is the busiest day of the week for shopping at stores in this industry.

Table 1. Summary of customers with in-state or out-of-state license plates

Location / Percent In-state / Percent "tourists" / Percent instate or immed adjoin

Boise, ID 93.5% 6.5% 97.1%
Buda, TX 96.7% 3.3% 97.8%
Dundee, MI 68.8% 31.2% 94.3%
East Grand Forks, MN 61.9% 38.1% 95.9%
Fort Worth, TX 85.9% 14.1% 90.4%
Glendale, AZ 95.5% 4.5% 97.2%
Hamburg, PA 89.0% 11.0% 93.4%
Kansas City, KS 50.9% 49.1% 93.0%
Kearny, NE 84.9% 15.1% 92.8%
Lehi, UT 84.2% 15.8% 93.1%
Mitchell, SD 73.2% 26.8% 81.4%
Owatonna, MN 85.4% 14.6% 91.9%
Prairie du Chien, WI 59.3% 40.7% 91.7%
Richfield, WI 97.5% 2.5% 99.4%
Rogers, MN 89.8% 10.2% 94.4%
Sidney, NE 38.2% 61.8% 76.9%
Wheeling, WV 38.6% 61.4% 92.2%

Average 76.1% 23.9% 92.5%

Table 2: Projected Visitors by location

Store Location

Boise, ID 1,548,819
Buda, TX 1,785,984
Dundee, MI 2,079,581
East Grand Forks, MN 540,676
Fort Worth, TX 1,311,654
Glendale, AZ 2,466,214
Hamburg, PA 2,553,912
Kansas City, KS 2,743,034
Kearny, NE 990,603
Lehi, UT 1,495,438
Mitchell, SD 677,942
Owatonna, MN 703,107
Prairie du Chien, WI 731,323
Richfield, WI 2,305,307
Rogers, MN 1,424,517
Sidney, NE 501,021
Wheeling, WV 1,568,646

Average 1,495,752 per year

Explanation of calculation

To arrive at the estimate above, we collected the data on what should be one of the busiest Saturdays of the year (in the middle of hunting season, approaching cold weather, near the beginning of Christmas shopping season). We extrapolated the data from the four busiest hours of the day and assumed it was that busy all weekend on both days. We assumed every weekend day of the year is as busy as that weekend. We estimated weekdays to attract 50% of the weekend number.

We believe this calculation is generous. In August 2006, we placed three researchers at the Rogers, Minnesota, store and asked them to count every car and individual for the entire day. The results, when extrapolating that day to all 365 days of the year, yielded an estimate of 770,515 shoppers, approximately 50% of the estimate we provide above.

Conclusions

  • This study provides a snapshot based on one day of data-gathering during a busy day of the year. Based on our preliminary data, it appears that Cabela’s—and its supporters’—statements regarding the number of visitors and the percentage of out-of-state ‘tourists’ are exaggerated.
  • Criticisms may be made of the study. A statistically ‘satisfying’ study would be costly, time-consuming and beyond the necessary scope of our efforts. This limited study, based upon careful assumptions, should raise significant concerns regarding the data that Cabela’s and others have used to support requests for public funding.
  • Our estimate shows an average of fewer than 1.5 million visitors per store, far fewer than an average Target, WalMart or Home Depot store. In the cases of those retailers, they refer to their ‘visitors’ as ‘customers,’ not ‘tourists.’
  • Our data contradicts the myth being perpetuated that Cabela’s shoppers come from long distances to shop. In fact, most of the shoppers on the day in question came from the state in which the store was located. As Cabela’s makes progress toward its publicly-stated goal of 100 or more stores, the ‘tourism effect’ will continue to crumble.
  • Given that Cabela’s uses its data to solicit hundreds of millions of public dollars, the company should be willing to provide full and accurate information. We are aware of no other study conducted using empirical methods that provides data to refute our study. If Cabela’s or others disagree with our findings, they should commission a broad-based statistical study using reputable experts.


_______
The above survey was done by a representative of Gander Mountain, another outdoor retailer which builds without tax incentives and is actively lobbying against the types of tax giveaways which Cabela’s gets, including not having to pay sales taxes on Internet and catalog sales.

 

 

 


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