Customer Analysis for Visalia

To conduct a new or lost customer analysis for Visalia, the best approach would be to use a combination of visualizations that highlight trends and patterns in customer data. Here are the main steps to follow:

1. Data Preparation:

   • Start by gathering customer data, including relevant fields such as customer ID, date of purchase, and purchase amount.
   • Clean and organize the data to ensure accuracy and consistency.

2. Customer Segmentation:

   • Group customers based on specific criteria, such as product category or geographical region.
   • Utilize visualizations like bar charts or pie charts to show the distribution of customers across different segments.

3. New Customer Analysis:

   • Visualize the number of new customers acquired over time using a line chart or area chart.
   • Compare the acquisition of new customers across different periods (e.g., months or quarters) to identify trends and growth patterns.
   • Calculate metrics such as new customer growth rate and compare it with industry benchmarks or previous periods.

4. Lost Customer Analysis:

   • Create a visualization, such as a stacked bar chart, to show the reasons for customer attrition (e.g., customer churn).
   • Analyze the percentage of lost customers compared to the overall customer base.
   • Identify patterns or commonalities among lost customers and their characteristics.

5. Cohort Analysis:

   • Use a cohort analysis, which groups customers based on the period they made their first purchase, to track customer retention and identify any drops or spikes in customer loyalty.
   • Visualize customer retention rates using line charts or heatmaps to spot trends over time.

6. Geographical Analysis:

   • Map the location of new customers and lost customers to identify any geographic trends.
   • Use heatmaps or bubble maps to showcase concentration or dispersion of customers across different regions.

7. Recommendations and Insights:

   • Summarize the key findings and insights from the data visualizations.
   • Identify actionable steps to improve customer acquisition and retention based on the patterns discovered.
   • Share the visualizations and insights with stakeholders to drive data-informed decision-making.

The above steps will help you gain valuable insights into new and lost customers, enabling you to make strategic decisions to improve customer acquisition and retention.