Highlights
With 43 UK clubs, Virgin Active has a huge logistical task to ensure its frontline workforce is engaged and providing the best customer service to its 185,000 members. The group is dedicated to making its clubs fitness destinations, where members enjoy a pleasurable experience in a comfortable, high-tech environment, supported by ‘superstar’ coaches.
Not only does each Virgin Active club boast a state of the art gym and a variety of exercise classes throughout the day. They also have pool, spa facilities alongside a restaurant serving healthy snacks and meals.
Virgin Active is looking to find ways to increase the number of visits per customer each week. Using a snap shot dataset containing the relevant information of 23 customers, Virgin Active has contacted Buxton Analytics to answer the following questions:
What other data should Virgin Active be collecting to help them increase the number of visits per customer?
Do any of the current variables have an impact on the number of visits per customer each week?
Are there differences in customers that spend a lot of time in the gym versus no time in the gym?
How can Virgin Active increase the number of visits per customer per week?
It will be your job as an analyst to provide answers to these questions. Background research on the topic is essential to providing a detailed analytical report. You will then be expected to include your findings in a report to submit to your manager.
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