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Nvidia Customer Market 2020-2024

✏️ Pemika W. 23/10/2024

introduction

In today’s highly competitive technology industry, understanding customer behavior is crucial to driving business success. Nvidia, a leader in producing graphics processing units (GPUs) and AI technology, serves a diverse customer base, ranging from individual consumers to large corporations. Each group has distinct purchasing patterns, satisfaction levels, and tendencies to make repeat purchases. By using Tableau for analysis, we aim to uncover insights into customer trends and behaviors. This analysis will help Nvidia plan effective marketing campaigns, improve customer service, and enhance future product development, supporting sustainable growth in both retail and corporate markets.

Data Preparing and Data Cleaning

Download the Nvidia Customer Market dataset from Kaggle:

https://www.kaggle.com/datasets/jibinsebastian1993/nvidia-customer-market-dataset/data⁠

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Next, remove the null values from Product Category and Product Name by applying a filter in the Data Source page. After that, apply a filter for the Year column to only display data from 2020(Jan.-Dec.) to 2024(Jan-Oct.).

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Then, create the Revenue per Unit calculated field

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Data Visualization and Data Analysis

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Sales by Product Category

The chart compares sales revenue (in USD) across four product categories. From the chart, The AI and Data Center categories lead in sales, both exceeding 1.5 billion. Gaming and OEM follow closely, with sales just above 1.4 billion.

Sales by Region

The chart shows the total sales revenue in USD for various regions. From the chart, Europe has the highest sales revenue of 1,022,598,184 USD. South America, Middle East, and Africa all have slightly lower but similar sales revenues around 1,017M - 1,011M USD. APAC has 976,394,435 USD, which is lower compared to other regions but still close to 1 billion USD. North America has the lowest sales revenue at 967,705,046 USD, slightly less than APAC.

High-Performing Products

The chart compares revenue per unit (in USD) across five products. From the chart, Tesla V100 has the highest revenue per unit at $1,047,971. RTX 4090 has the lowest revenue per unit at $854,019. The revenue per unit of all products is relatively close, ranging from around $850K to over $1 million.

Sales Forecasting

The chart represents both actual sales data and future sales estimates over time. After peaking in 2021, sales showed a gradual decline up to 2023. The forecast suggests a slight recovery in 2024, followed by another decline in 2025, with a small degree of uncertainty in the forecasted values.

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Impact of Competitor Influence on Marketing Spend vs. Sales Revenue

This chart shows the relationship between Marketing Spend (Y-axis) and Sales Revenue (USD) (X-axis) for different competitor products, with varying levels of Competitor Influence. The analysis of the chart is as follows

AMD Radeon RX 6800

It shows a positive relationship between Marketing Spend and Sales Revenue overall. With Medium Competitor Influence, Marketing spending tends to increase as sales revenue grows.

AMD Radeon RX 7900

Displays a relatively low increase in Marketing Spend compared to the rise in Sales Revenue. The trend line for the RX 7900 is relatively flat, indicating stable Marketing spending.

Google TPU

Marketing Spend tends to decrease as Sales Revenue increases, especially when Competitor Influence is high. The trend line for Google TPU is negative, showing reduced spending as revenue grows.

Intel Xeon

It shows a positive trend where Marketing Spend increases as Sales Revenue rises. Intel Xeon experiences a gradual increase in Marketing spending in line with higher revenue.

Competitor’s Influence:

High Competitor Influence: Often correlates with higher Marketing Spend, as seen with AMD Radeon RX 7900.

Low and Medium Competitor Influence: Tend to lead to varying levels of Marketing spend, depending on the product.

Impact of Competitor Influence on Customer Satisfaction vs. Retention Rate

This chart shows the relationship between Customer Satisfaction and Customer Retention Rate, categorized by the level of Competitor Influence on different products. The analysis of the chart is as follows

AMD Radeon RX 6800

There is a positive relationship between Customer Satisfaction and Customer Retention Rate. The trend line indicates that as satisfaction increases, retention also increases.

AMD Radeon RX 7900

The trend line has a downward trend, suggesting that as Customer Satisfaction increases, Customer Retention Rate actually decreases. This implies that higher satisfaction does not always equate to higher retention for this product.

Google TPU

The trend line is positive, indicating that higher Customer Satisfaction leads to higher Customer Retention Rate. This product shows both high and low levels of competitor influence, impacting retention differently.

Intel Xeon

The trend line is relatively flat, indicating that the Customer Retention Rate is not significantly affected by changes in Customer Satisfaction.

Competitor’s Influence:

High Competitor Influence: Some products, like Google TPU and Intel Xeon, show high levels of satisfaction and retention, but competitor influence doesn’t significantly impact retention.

Low Competitor Influence: AMD Radeon RX 7900 demonstrates that when competitor influence is low, retention decreases, even with high satisfaction.

Impact of Competitor Influence on Sales Revenue vs. Ad Campaign Effectiveness This chart displays the relationship between Ad Campaign Effectiveness (X-axis) and Sales Revenue (USD) (Y-axis) for different competitor products, along with varying levels of Competitor Influence. Here's an analysis of the chart

AMD Radeon RX 6800

It shows a generally positive correlation between Ad Campaign Effectiveness and Sales Revenue. When Competitor Influence is low, higher sales revenue is observed as ad campaign effectiveness increases.

AMD Radeon RX 7900

Displays a more moderate increase in sales revenue with rising ad campaign effectiveness. The trend line indicates slightly lower revenue performance compared to RX 6800.

Google TPU

Significant rise in Sales Revenue with Ad Campaign Effectiveness at high competitor influence. Google TPU shows one of the highest revenue values on the chart.

Intel Xeon

Also shows a positive trend with increasing ad campaign effectiveness, but revenue figures remain slightly lower than Google TPU and AMD Radeon RX 6800.

Competitor Influence:

High Competitor Influence (represented by larger bubbles): Generally associated with higher revenue values, as seen with Google TPU.

Low and Medium Competitor Influence: Tends to result in moderate sales revenues, but still maintains a positive relationship between ad campaign effectiveness and sales revenue.

Impact of Competitor Influence on Sales Revenue vs. Discount Percentage

This chart illustrates the relationship between Sales Revenue (Y-axis) and Discount Percentage (X-axis) for different competitor products, with varying levels of Competitor Influence. Here’s the analysis

AMD Radeon RX 6800

It shows a positive trend between Discount Percentage and Sales Revenue, meaning that as discounts increase, revenue also increases. When Competitor Influence is medium, it has a higher revenue despite lower discount rates.

AMD Radeon RX 7900

Displays a strong positive correlation where increased discounts are associated with increased sales revenue. With low Competitor Influence, it achieves high sales revenue with relatively lower discounts.

Google TPU

It shows a negative trend between Discount Percentage and Sales Revenue, indicating that as discounts increase, revenue decreases. Under high Competitor Influence, Google TPU provides higher discounts but experiences a decline in revenue.

Intel Xeon

Exhibits a slightly positive trend, with minor revenue increases as discount rates rise. Intel Xeon has a steady sales revenue regardless of the competitor influence level, maintaining moderate discounts.

Competitor’s Influence:

High Competitor Influence: For products like Google TPU, higher discounts correlate with reduced revenue, suggesting that high competitor pressure may negatively impact revenue even with aggressive discounts.

Low and Medium Competitor Influence: For AMD Radeon RX 7900 and RX 6800, low competitor influence allows them to maintain high sales revenue with moderate discounts.

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Sales Revenue and Return Rate

The chart shows the relationship between sales revenue and return rate for different product names. Overall, there seems to be a positive correlation between these two variables, meaning that as sales revenue increases, the return rate tends to increase as well. However, there is also some variation around this trend, suggesting that other factors may also influence return rates.

Among the product names, "Quadro P2200" has the highest average return rate and sales revenue, followed by "RTX 3080," "RTX 4090," "Tesla T4," and "Tesla V100." This suggests that "Quadro P2200" may be a more profitable product compared to the others.

Customer Satisfaction and Customer Retention Rate

The chart shows the relationship between customer satisfaction and customer retention rate for two customer types: Business and Individual.

Overall, there seems to be a positive correlation between customer satisfaction and customer retention rate. This means that as customer satisfaction increases, so does the likelihood of customers staying with the company.

Business customers have a slightly higher average customer satisfaction score (8,743.2) compared to individual customers (8,913.4). However, the difference is not significant.

Both customer types have a similar average customer retention rate. Business customers have a slightly higher rate (70.2386%) compared to individual customers (69.8994%), but the difference is again not significant.

Based on this data, both business and individual customers have similar levels of satisfaction and retention. This suggests that the company is doing a good job at meeting the needs of both customer types. However, further analysis would be needed to identify any specific areas where the company could improve customer satisfaction and retention.

Conclusion

Revenue Leaders: The AI and Data Center categories show the highest revenue among products, while Europe leads in regional sales revenue.

Product Performance: Products like the Quadro P2200 and Tesla V100 excel in both sales and profitability, suggesting targeted investment in these high-performing lines.

Customer Satisfaction and Retention: Positive correlations exist between customer satisfaction and retention, especially in business clients. However, certain products like AMD Radeon RX 7900 show unique trends where high satisfaction doesn’t ensure retention, indicating potential areas for improvement.

Competitor Influence: High competitor influence impacts revenue negatively in some cases (e.g., Google TPU), even with higher discounts. This highlights the importance of adjusting marketing and discount strategies based on competitive pressure.

Marketing and Ad Campaigns: Increased marketing and ad effectiveness correlate positively with revenue, especially for products like AMD Radeon RX 6800, showing that well-targeted campaigns can yield significant returns.

Recommendations

Focus on High-Performing Categories: Prioritize investments in AI, Data Center, and regions like Europe to maximize high-revenue streams.

Adjust Customer Retention Strategies: For products where high satisfaction doesn’t correlate with retention, explore tailored loyalty programs or additional support.

Optimize Marketing Spend: Emphasize ad campaigns and marketing in regions and product segments where competitor influence is high. Products like AMD Radeon RX 6800 and Intel Xeon benefit from strategic ad spending.

Reevaluate Discount Strategies: Limit discounts on products heavily impacted by competitor pricing, such as Google TPU, to sustain revenue without unnecessary reductions.

Reference

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https://www.kaggle.com/datasets/jibinsebastian1993/nvidia-customer-market-dataset/data⁠

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