UK Bank Marketing Dashboard

I have been tasked with generating insights into the customer demographics for a UK Bank. They have customers in England, Scotland, Wales, and Northern Ireland. To create better marketing content, they asked me to create some customer segmentation.


Situation

A UK bank wants to generate a marketing campaign to promote a new financial product they are releasing. The marketing team wants to have customer analytics to determine how to target their marketing campaign.


Executive Summary

  • There are four different geographical customer segments for marketing, with England making up greater than 50% of customers.
  • Customer Personas
    • England - White-Collar Professional in their 30s
    • Scotland - Middle-Aged Blue-Collar Male Worker
    • Northern Ireland - Non-Traditional Class Women
    • Wales - Affluent White-Collar Individuals with Higher Disposable Incomes

Recommendation

Because the customer demographics are very different between the regions, four targeted regional marketing campaigns should be implemented rather than simply a general marketing campaign.


Interactive Dashboard


Task

I need to develop a Tableau dashboard to visualize bank customers by geographical region and demographics so that I can convey to stakeholders how to optimize marketing strategies.


Action

  1. Geographical Region: Show a map of the United Kingdom segmented by the four regions with the number of customers in each region.
  2. Age Distribution: View the percentage of customers in different age brackets.
  3. Average Bank Balance Distribution: View the percentage of customers based on their average balance for the past year.
  4. Gender: View the percentage of customers based on their gender.
  5. Working Class Status: View the percentage of customers based on their self-selected class of work, such as blue collar, white collar, or other.

Analysis


General Customers

  • Age Group is mainly represented by age 30-40
  • Gender is split fairly evenly (54:46) male:female
  • Almost 50% of customers are white collar
  • The distribution of balances is skewed with the largest % of customers with a low balance of 0-15K and it slopes downward continually



England - White-Collar Professional in their 30s

  • The population is more than 50% of the customers and has the largest influence on the distribution of customers
  • There is a large percentage of White Collar workers from England
  • There is an almost 50:50 split between male and female
  • Age range is predominantly 30-40 years old
  • Takeaway: Focus on men and women who are white collar in their 30s for marketing



Scotland - Middle-Aged Blue-Collar Male Worker

  • The population is the second largest customer group with almost 25% of the customers
  • But has a much different distribution of ages 45-55 years old
  • And 72% Male and is 48% blue collar and 44% other
  • Takeaway: Focus marketing on Blue Collar Men who are middle aged.



Wales - Affluent White-Collar Individuals with Higher Disposable Incomes

  • Similar to England but with a larger balance that is the primary distribution, 15-30K has a largest distribution
  • Takeaway: Focus marketing on White Collar men and women who may have more money than other regions



Northern Ireland - Non-Traditional Class Women

  • 74% of customers are female
  • 50% of customers are “Other” for their employment class
  • Takeaway: Focus marketing on women who are labeled “Other” class

Summary

The customer analysis reveals a nuanced demographic landscape across different regions. In England, white-collar professionals in their 30s emerge as the dominant customer group, with a balanced gender distribution. Scotland presents a distinct profile, with middle-aged, male, blue-collar workers comprising the majority. Wales showcases a concentration of affluent white-collar individuals, particularly those with higher disposable incomes. Conversely, Northern Ireland stands out with a significant presence of non-traditional class women. These insights underscore the importance of tailored marketing strategies to effectively engage with diverse customer segments, maximizing outreach and resonance in each region.