Analysis of Customer Feedback Themes and Insights

Sep 5, 2024, 3:41 PM

Data for Sales Analysis.xlsx

Missing file

TASK: In this section, you are required to examine and categorize the themes extracted from customer

feedback provided in the dataset.
REQUIRED:
a) Compute the frequencies and percentages of the feedback themes as provided in Table 1
Table 1: Analysis of Feedback Themes
Suggested Feedback Themes Frequency Percentage
Product Quality
Delivery Issues
Customer Service
Value for Money
Experience with Purchase
Product Description Accuracy
b) Generate Charts to Visualize the feedback themes
• Bar Chart: Display frequency of each theme to identify the most common issues.
• Pie Chart: Show the proportion of each theme relative to the total feedback.
c) Generate Insights from your analysis
• Pinpoint areas for improvement and deduce what matters most to the customers.
• Identify the most frequently mentioned themes.
• Determine which feedback themes require immediate attention or improvement.

Analysis of Feedback Themes

We will analyze the feedback themes provided in the dataset. The suggested feedback themes are:
  1. Product Quality
  2. Delivery Issues
  3. Customer Service
  4. Value for Money
  5. Experience with Purchase
  6. Product Description Accuracy
We will compute the frequencies and percentages of these feedback themes, generate visualizations, and provide insights.

Frequencies and Percentages of Feedback Themes

Feedback ThemeFrequencyPercentage
Product Quality815.96%
Value for Money785.74%
Customer Service715.23%
Delivery Issues15311.27%
Experience with Purchase1087.95%
Next, we will generate visualizations to better understand the distribution of these feedback themes.

Insights from Feedback Themes Analysis

Based on the analysis and visualizations of the feedback themes, we can draw the following insights:
  1. Most Frequently Mentioned Themes:
    • Delivery Issues: This theme has the highest frequency, indicating that customers often face problems related to delivery. This could include late deliveries, shipping issues, or delays.
    • Experience with Purchase: This theme also has a significant frequency, suggesting that the overall buying experience is crucial to customers.
  2. Areas for Improvement:
    • Delivery Issues: Given that this theme has the highest frequency, it is clear that delivery-related problems are a major concern for customers. Improving the logistics and delivery process should be a priority.
    • Customer Service: Although not the highest, customer service is still a notable theme. Ensuring that customers receive prompt and helpful support can enhance their overall experience.
  3. What Matters Most to Customers:
    • Product Quality and Value for Money: These themes are also frequently mentioned, indicating that customers value high-quality products and perceive good value for their money.
  4. Immediate Attention Required:
    • Delivery Issues: This theme requires immediate attention due to its high frequency. Addressing delivery problems can significantly improve customer satisfaction.
    • Experience with Purchase: Enhancing the overall buying experience can lead to better customer retention and positive feedback.
By focusing on these key areas, the company can improve its services and better meet customer expectations.
Would you like to explore any other aspects of the data or have any specific questions?

On Excel please.

The analysis of feedback themes has been completed. The frequencies and percentages of each theme were computed and visualized using bar and pie charts. The insights derived from the analysis highlighted key areas for improvement, such as delivery issues and customer service.
The results have been saved to an Excel file named 'Feedback_Themes_Analysis.xlsx'.
Would you like to explore any other aspects of the data or have any specific questions?

TASK: This section focuses on analyzing the overall sentiment expressed in the feedback.

REQUIRED:
a) Compute the frequency and percentages of the sentiments as provided in Table 2
Table 2: Sentiment Distribution
Sentiment Frequency Percentage
Positive
Neutral
Negative
b) Generate a chart to visualize sentiment categories
• Pie Chart: Visualize the proportion of positive, neutral, and negative sentiments.
• Bar Chart: Compare the count of each sentiment type.
c) Generate Insights from your analysis by assessing overall customer satisfaction or identifying if there
is a prevalent sentiment in feedback.

Sentiment Analysis of Customer Feedback

We will analyze the overall sentiment expressed in the feedback. The required steps are:
a) Compute the frequency and percentages of the sentiments (Positive, Neutral, Negative).
b) Generate visualizations to display the sentiment distribution:
  • Pie Chart: Visualize the proportion of positive, neutral, and negative sentiments.
  • Bar Chart: Compare the count of each sentiment type.
c) Generate insights from the analysis to assess overall customer satisfaction and identify prevalent sentiments in the feedback.

Sentiment Distribution

SentimentFrequencyPercentage
Positive18913.92%
Neutral108980.19%
Negative805.89%
Next, we will generate visualizations to better understand the distribution of these sentiments.

TASK: you are expected to analyze the sales data based on their geographic regions. This is to gain insight

into the regional differences in total purchases and amount.
REQUIRED:
a) Complete Tables 3 and 4
Table 3: Analysis of No of Purchases by Region
Region Frequency Percentage
North America
Europe
Asia
South America
Africa
Australia
Table 4: Analysis of Sales Amount by Region
Region Total Amount
Average Amount Percentage of
Total Sales
Amount
North America
Europe
Asia
South America
Africa
Australia
b) Generate a chart to visualize your recommendations:
• Map Visualization: Show feedback distribution across different regions.
• Bar Chart: Compare the number of feedback entries from each Region
c) Discuss insights generated from your analysis:
• Identify regions with the highest and lowest purchases.
• Identify regions with the highest and lowest total amount.
• Analyze regional trends and specific regional concerns.
• Give recommendations based on insight

Regional Analysis of Sales Data

We will analyze the sales data based on their geographic regions to gain insights into regional differences in total purchases and sales amounts. The required steps are:
a) Complete Tables 3 and 4:
  • Table 3: Analysis of Number of Purchases by Region
  • Table 4: Analysis of Sales Amount by Region
b) Generate visualizations to display the regional analysis:
  • Map Visualization: Show feedback distribution across different regions.
  • Bar Chart: Compare the number of feedback entries from each Region.
c) Discuss insights generated from the analysis:
  • Identify regions with the highest and lowest purchases.
  • Identify regions with the highest and lowest total amount.
  • Analyze regional trends and specific regional concerns.
  • Provide recommendations based on insights.

Table 3: Analysis of Number of Purchases by Region

RegionFrequencyPercentage
Latin America27520.25%
Middle East & Africa25919.07%
North America23417.23%
Asia Pacific21215.61%
Europe20915.39%

Table 4: Analysis of Sales Amount by Region

RegionTotal AmountAverage AmountPercentage of Total Sales Amount
Asia Pacific18081.1585.2914.12%
Europe22981.23109.9617.95%
Latin America29278.89106.4722.87%
Middle East & Africa23793.9191.8718.58%
North America21906.2393.6217.11%
Next, we will generate visualizations to better understand the regional differences in purchases and sales amounts.
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Insights from Regional Analysis of Sales Data

Based on the analysis and visualizations of the sales data by region, we can draw the following insights:
  1. Regions with the Highest and Lowest Purchases:
    • Highest Purchases: Latin America has the highest number of purchases, accounting for 20.25% of the total purchases.
    • Lowest Purchases: Europe has the lowest number of purchases, accounting for 15.39% of the total purchases.
  2. Regions with the Highest and Lowest Total Amount:
    • Highest Total Amount: Latin America has the highest total sales amount, contributing 22.87% to the total sales amount.
    • Lowest Total Amount: Asia Pacific has the lowest total sales amount, contributing 14.12% to the total sales amount.
  3. Regional Trends and Specific Concerns:
    • Latin America: This region shows a high number of purchases and a high total sales amount, indicating strong market potential.
    • Middle East & Africa: This region also shows a significant number of purchases and total sales amount, suggesting a growing market.
    • Europe: Despite having the lowest number of purchases, Europe has a relatively high average sales amount, indicating that customers in this region tend to make higher-value purchases.
  4. Recommendations:
    • Focus on Latin America and Middle East & Africa: These regions show strong market potential and should be targeted for marketing and sales efforts.
    • Improve Presence in Europe: Although Europe has a lower number of purchases, the high average sales amount suggests that there is potential for growth by targeting high-value customers.
    • Address Regional Concerns: Understanding and addressing specific regional concerns can help improve customer satisfaction and drive sales.
Would you like to explore any other aspects of the data or have any specific questions?

TASK: This section examines feedback based on different customer segments with a view to understand

how different customers purchased their goods
REQUIRED:
a) Complete Table 4
Table 4: Analysis of by Customer Segment
Customer Segment Frequency Percentage
Online Direct
Wholesale
Retail
Corporate
Government
b) Generate a chart to visualize customer segments
• Bar Chart: Compare the number of feedback entries by customer segment.
• Pie Chart: Display the percentage distribution of feedback across segments.
c) Deduce insights to:
• Determine which customer segments are most vocal.
• Identify segment-specific feedback trends or issues.

Analysis of Feedback by Customer Segment

We will analyze the feedback data based on different customer segments to understand how different customers purchased their goods.
The required steps are:
a) Complete Table 4:
  • Table 4: Analysis of Feedback by Customer Segment
b) Generate visualizations to display the customer segment analysis:
  • Bar Chart: Compare the number of feedback entries by customer segment.
  • Pie Chart: Display the percentage distribution of feedback across segments.
c) Deduce insights to:
  • Determine which customer segments are most vocal.
  • Identify segment-specific feedback trends or issues.
Let's start by completing Table 4.

Table 4: Analysis of Feedback by Customer Segment

Customer SegmentFrequencyPercentage
Retail42231.08%
Online Direct36426.80%
Wholesale34925.70%
Subscription987.22%
High Income312.28%
Discount Shoppers211.55%
Low Income201.47%
Wholesale Customers151.10%
Premium Customers130.96%
Retail Customers110.81%
Corporate Clients60.44%
Middle Income40.29%
Institutional Customers40.29%
Next, we will generate visualizations to better understand the distribution of feedback across customer segments.

TASK: You are expected to analyze different sales representatives to determine if certain reps are

associated with higher volumes purchases.
Required:
a) Provide a tabular analysis of the sales representatives by completing Tables 5a and b
Table 5a: Analysis of by Sales Representative
Sales Rep ID Frequency Percentage
Rep_01
Rep_02
Rep_03
Rep_04
Rep_05
Rep_06
Rep_07
Rep_08
Rep_09
Rep_10
Rep_11
Rep_12
Rep_13
Rep_14
Rep_15
Rep_16
Rep_17
Rep_18
Sales Rep ID Frequency Percentage
Rep_19
Rep_20
Table 5b: Analysis of by Sales Representative and Sales Channel
Sales Rep ID Sales Channel Frequency Percentage
Rep_01 Online
Rep_02 Offline
Rep_03 Wholesale
... ...
Rep_20 Direct
b) Illustrate Tables 5a and 5b with any preferred chart.
• Deduce insights to Identify which sales representatives are associated with higher purchases.
Any strange occurrence?

Analysis of Sales Representatives

We will analyze the sales data to determine if certain sales representatives are associated with higher volumes of purchases.
The required steps are:
a) Provide a tabular analysis of the sales representatives by completing Tables 5a and 5b:
  • Table 5a: Analysis of Sales by Sales Representative
  • Table 5b: Analysis of Sales by Sales Representative and Sales Channel
b) Illustrate Tables 5a and 5b with any preferred chart.
c) Deduce insights to identify which sales representatives are associated with higher purchases and any strange occurrences.
Let's start by completing Table 5a.

Table 5a: Analysis of Sales by Sales Representative

Sales Rep IDFrequencyPercentage
REP00614210.46%
REP0091359.94%
REP0101319.65%
REP0041158.47%
REP0081118.17%
REP0011067.81%
REP0031057.73%
REP0071047.66%
REP005997.29%
REP002936.85%
REP017443.24%
REP011332.43%
REP012332.43%
REP020332.43%
REP018332.43%
REP019332.43%
REP01620.15%
REP01520.15%
REP01420.15%
REP01320.15%
Next, we will complete Table 5b by analyzing sales by sales representative and sales channel.

Table 5b: Analysis of Sales by Sales Representative and Sales Channel

Sales Rep IDSales ChannelFrequencyPercentage
REP001Marketplace332.43%
REP001Online Direct302.21%
REP001Retail171.25%
REP001Wholesale141.03%
REP002Marketplace271.99%
REP002Online Direct201.47%
REP002Retail231.69%
REP002Wholesale231.69%
REP003Marketplace271.99%
REP003Online Direct251.84%
REP003Retail261.91%
REP003Wholesale271.99%
REP004Marketplace292.13%
REP004Online Direct282.06%
REP004Retail292.13%
REP004Wholesale292.13%
REP005Marketplace251.84%
REP005Online Direct241.76%
REP005Retail251.84%
REP005Wholesale251.84%
REP006Marketplace362.65%
REP006Online Direct352.57%
REP006Retail352.57%
REP006Wholesale362.65%
REP007Marketplace261.91%
REP007Online Direct261.91%
REP007Retail261.91%
REP007Wholesale261.91%
REP008Marketplace282.06%
REP008Online Direct282.06%
REP008Retail271.99%
REP008Wholesale282.06%
REP009Marketplace342.50%
REP009Online Direct342.50%
REP009Retail332.43%
REP009Wholesale342.50%
REP010Marketplace332.43%
REP010Online Direct332.43%
REP010Retail322.36%
REP010Wholesale332.43%
REP011Marketplace90.66%
REP011Online Direct80.59%
REP011Retail80.59%
REP011Wholesale80.59%
REP012Marketplace90.66%
REP012Online Direct80.59%
REP012Retail80.59%
REP012Wholesale80.59%
REP013Marketplace10.07%
REP013Online Direct10.07%
REP013Retail10.07%
REP013Wholesale10.07%
REP014Marketplace10.07%
REP014Online Direct10.07%
REP014Retail10.07%
REP014Wholesale10.07%
REP015Marketplace10.07%
REP015Online Direct10.07%
REP015Retail10.07%
REP015Wholesale10.07%
REP016Marketplace10.07%
REP016Online Direct10.07%
REP016Retail10.07%
REP016Wholesale10.07%
REP017Marketplace120.88%
REP017Online Direct110.81%
REP017Retail110.81%
REP017Wholesale100.74%
REP018Marketplace90.66%
REP018Online Direct80.59%
REP018Retail80.59%
REP018Wholesale80.59%
REP019Marketplace90.66%
REP019Online Direct80.59%
REP019Retail80.59%
REP019Wholesale80.59%
REP020Marketplace120.88%
REP020Online Direct60.44%
REP020Retail60.44%
REP020Wholesale90.66%
Next, we will generate visualizations to better understand the distribution of sales across sales representatives and sales channels.
Get started with Vizly