What Are the Top 7 KPIs Metrics of an E-Commerce Platform for Independent Authors Business?

Apr 6, 2025

As an independent author selling your work on an e-commerce platform, understanding the key performance indicators (KPIs) specific to your industry is crucial for maximizing your success. In the artisan marketplace, tracking metrics such as conversion rate, customer lifetime value, and average order value can provide invaluable insights into the performance of your online store. In this blog post, we will delve into 7 industry-specific KPIs that every independent author should be monitoring to ensure their e-commerce platform is operating at its full potential. Whether you're a seasoned business owner or just starting out, this post will offer unique insights into optimizing your online presence and driving greater profitability.

Seven Core KPIs to Track

  • Average Customer Acquisition Cost (CAC)
  • Book Sales Conversion Rate
  • Author Retention Rate
  • Average Reviews per Book
  • Repeat Readership Rate
  • Time Spent on Author Pages
  • Monthly Active Users (MAU) on Platform

Average Customer Acquisition Cost (CAC)

Definition

The average customer acquisition cost (CAC) measures the average cost a company incurs to acquire a new customer. This ratio is critical to measure as it allows businesses to evaluate the efficiency of their marketing and sales efforts in attracting and converting new customers. It is important in the business context as it provides insights into the effectiveness of customer acquisition strategies and helps in evaluating the return on investment (ROI) for acquiring new customers. Measuring CAC is critical as it directly impacts business performance by influencing the overall cost of acquiring and retaining customers, thus affecting the profitability and sustainability of the business.

How To Calculate

To calculate the average customer acquisition cost (CAC), the formula involves dividing the total costs associated with acquisition (such as marketing and sales expenses) by the number of new customers acquired within a specific period. This provides a clear and concise measurement of the cost required to acquire each new customer.

CAC = Total Acquisition Costs / Number of New Customers Acquired

Example

For example, if a business spent $10,000 on marketing and sales efforts in a given month and acquired 100 new customers during that period, the calculation for CAC would be $100 ($10,000 / 100), indicating that the average cost to acquire a new customer is $100.

Benefits and Limitations

The advantage of effectively using the CAC KPI is that it provides valuable insights into the cost-effectiveness of customer acquisition strategies, allowing businesses to optimize their marketing and sales activities to improve ROI. However, a limitation of CAC is that it does not account for the lifetime value of customers, and this metric alone may not fully represent the overall profitability of acquiring new customers.

Industry Benchmarks

According to industry benchmarks in the US, the average CAC can vary significantly by sector. For example, in the e-commerce industry, an average CAC of $10 to $50 is considered typical, while above-average performance may range from $51 to $100. Exceptional performance levels for CAC in this industry are typically below $10.

Tips and Tricks

  • Focus on targeted marketing efforts to attract high-quality leads and reduce overall acquisition costs.
  • Implement customer retention strategies to maximize the lifetime value of acquired customers, effectively lowering the CAC over time.
  • Regularly analyze and optimize marketing and sales channels to ensure cost-effective customer acquisition.

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Book Sales Conversion Rate

Definition

The book sales conversion rate KPI measures the percentage of website visitors who make a purchase. This ratio is critical to measure as it provides insight into the effectiveness of the platform in converting potential readers into paying customers. In the business context, this KPI is essential as it directly impacts revenue generation and overall business performance. A low conversion rate may indicate that the platform is not effectively engaging visitors or that there are issues with the sales process, whereas a high conversion rate could signify a strong user experience and targeted marketing efforts. Ultimately, this KPI is critical to measure as it identifies potential areas for improvement and highlights the platform's ability to turn interest into sales, directly affecting the bottom line.

How To Calculate

The formula for calculating the book sales conversion rate KPI is:

Conversion Rate = (Number of Sales / Number of Website Visitors) x 100
Where: - Number of Sales refers to the total number of book sales within a specific period - Number of Website Visitors refers to the total number of unique visitors to the platform within the same period

Example

For example, if the platform had 1,000 unique website visitors in a month and generated 50 book sales during the same period, the calculation for the book sales conversion rate would be: (50 / 1,000) x 100 = 5%. This means that 5% of the platform's visitors made a purchase during that month.

Benefits and Limitations

The benefit of using the book sales conversion rate KPI effectively is that it provides a clear indication of the platform's ability to drive sales and retain customers. However, a potential limitation is that the conversion rate alone does not provide insight into why visitors are or are not making a purchase. Utilizing additional data and analysis is necessary to gain a deeper understanding of customer behavior and preferences.

Industry Benchmarks

According to industry benchmarks, the average book sales conversion rate across e-commerce platforms in the US typically ranges from 2%-5%. Above-average performance would be 6%-10%, while exceptional performance would exceed 10%.

Tips and Tricks

  • Optimize the platform's user experience to make the purchasing process streamlined and user-friendly.
  • Implement targeted marketing strategies to attract high-quality traffic and encourage conversions.
  • Analyze customer behavior and feedback to identify and address potential barriers to purchase.

Author Retention Rate

Definition

Author retention rate is a crucial KPI that measures the percentage of independent authors who continue to use the e-commerce platform to sell their books over a specific period of time. This ratio is critical to measure because it directly reflects the platform's ability to provide value and support to authors, ultimately impacting the platform's business performance. A high author retention rate indicates that the platform is successful in maintaining a loyal and satisfied user base, while a low retention rate may indicate underlying issues that need to be addressed. It matters because retaining authors is essential for the long-term success and sustainability of the platform.

How To Calculate

The formula to calculate author retention rate is:

Author Retention Rate = [(Number of authors at the end of the period - Number of new authors gained during the period) / Number of authors at the start of the period] x 100

In this formula, the number of authors at the start of the period represents the total number of authors using the platform at the beginning of the specified timeframe, while the number of authors at the end of the period represents the total number of authors at the end of the same timeframe. The number of new authors gained during the period refers to the authors who have joined the platform within the specified timeframe.

Example

For example, if the e-commerce platform had 500 authors at the start of the year, gained 200 new authors throughout the year, and had 480 authors at the end of the year, the author retention rate would be calculated as follows:

Author Retention Rate = [(480 - 200) / 500] x 100 = 56%

Benefits and Limitations

A high author retention rate indicates that the platform is successful in building a loyal author base, fostering a sense of community, and providing valuable services to authors. This, in turn, can lead to increased sales, as satisfied authors are more likely to actively promote their books on the platform. However, it's important to note that a high retention rate alone does not necessarily guarantee business success, as other factors such as sales performance and reader engagement also play critical roles in overall platform performance.

Industry Benchmarks

According to industry benchmarks, the average author retention rate in the e-commerce platform for independent authors hovers around 50%. An above-average performance would be considered to have an author retention rate of 60% or higher, while an exceptional performance would be reflected in an author retention rate of 70% or more.

Tips and Tricks

  • Provide personalized support and guidance to authors to enhance their experience on the platform.
  • Offer promotional incentives and campaigns to encourage authors to actively engage with the platform.
  • Regularly gather feedback from authors to identify areas for improvement and implement necessary changes.
  • Highlight success stories of authors who have benefited from the platform to inspire and motivate others.

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Average Reviews per Book

Definition

The Average Reviews per Book KPI measures the average number of reviews received for each book listed on the e-commerce platform. This ratio is critical to measure as it provides insight into the level of reader engagement and satisfaction with the authors' work. In the business context, this KPI is important as it directly impacts the perceived value of the books and influences potential readers' purchasing decisions. Authors can use this KPI to assess the overall reception of their books and tailor their marketing strategies accordingly. A high average number of reviews per book can indicate strong reader interest and potentially lead to increased sales, while a low average may signal areas for improvement and targeted promotional efforts.

How To Calculate

The formula for calculating the Average Reviews per Book KPI is to sum up the total number of reviews for all listed books and divide it by the total number of books. This yields the average number of reviews per book, providing a snapshot of reader engagement across the platform.

Average Reviews per Book = Total Reviews / Total Number of Books

Example

For example, if a platform has 50 listed books and has received a total of 300 reviews across all the books, the calculation for the Average Reviews per Book KPI would be: Average Reviews per Book = 300 / 50 = 6 This means that, on average, each book on the platform has received 6 reviews.

Benefits and Limitations

The benefit of using the Average Reviews per Book KPI is that it provides authors with valuable feedback on reader engagement and the overall reception of their work. Authors can use this insight to fine-tune their marketing and promotional efforts, leading to potential increases in sales. However, a potential limitation of this KPI is that it does not differentiate between positive and negative reviews, so authors need to consider the qualitative aspects of the reviews to gauge reader sentiment accurately.

Industry Benchmarks

According to industry benchmarks, the average number of reviews per book can vary widely. In the US context, the average benchmark for a self-published book is approximately 15 reviews per book. However, above-average performance may be considered 20 reviews per book, while exceptional performance could be upwards of 30 reviews per book.

Tips and Tricks

  • Encourage reader engagement with targeted requests for reviews at the end of the book
  • Offer incentives for readers to leave reviews, such as exclusive content or giveaways
  • Promote reader testimonials and reviews on the platform to showcase the value of the books
  • Engage with readers through social media and author events to build a community and generate organic reviews

Repeat Readership Rate

Definition

Repeat readership rate is a key performance indicator that measures the percentage of readers who come back to make multiple purchases on the e-commerce platform. This ratio is critical to measure as it indicates customer loyalty, satisfaction, and the long-term viability of the business. In the context of the e-commerce platform for independent authors, a high repeat readership rate is indicative of the quality of the books, the author's ability to engage with their audience, and the effectiveness of the platform in fostering reader-author relationships. It is critical to measure this KPI as it directly impacts the overall business performance, indicating whether readers are satisfied with the content and are likely to continue supporting the authors and the platform. It also highlights the potential for word-of-mouth referrals and organic growth within the community of independent authors and readers.

How To Calculate

The formula for calculating the repeat readership rate is the total number of repeat readers divided by the total number of unique readers, multiplied by 100 to get the percentage.

Repeat Readership Rate = (Total number of repeat readers / Total number of unique readers) x 100

Example

For example, if a platform has 500 unique readers who have collectively made 750 purchases, out of which 300 purchases are made by returning customers, the repeat readership rate would be calculated as follows: Repeat Readership Rate = (300 / 500) x 100 = 60%. This means that 60% of the readers are returning to make additional purchases, indicating a strong level of customer loyalty and satisfaction.

Benefits and Limitations

The benefits of measuring repeat readership rate include gaining insights into customer loyalty, satisfaction, and the potential for long-term revenue generation through repeat sales. However, it's important to note that this KPI may not account for the quality of the repeat purchases or the specific factors that contribute to customer retention, such as marketing efforts or customer service. It is important to complement this KPI with qualitative data and customer feedback to gain a comprehensive understanding of customer behavior.

Industry Benchmarks

According to industry benchmarks in the US, a typical repeat readership rate for e-commerce platforms in the book industry ranges from 20% to 40%. Above-average performance would be considered at 40% to 60%, while exceptional performance would be anything above 60%. These benchmarks can serve as a point of reference for evaluating the platform's repeat readership rate and identifying areas for improvement.

Tips and Tricks

  • Offer personalized recommendations based on previous purchases to encourage repeat buying behavior
  • Implement a loyalty program to reward frequent readers and incentivize repeat purchases
  • Engage with readers through author Q&A sessions, book clubs, and other interactive events to foster a sense of community and connection
  • Collect feedback from repeat readers to understand what motivates them to return and make improvements based on their insights

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Time Spent on Author Pages

Definition

Time Spent on Author Pages is a key performance indicator that measures the average amount of time visitors spend on the individual storefront pages of independent authors. This ratio is critical to measure as it provides insight into the level of engagement and interest readers have in the authors and their books. In a business context, this KPI is important because it indicates the effectiveness of the platform in capturing and retaining the attention of potential customers. A high average time spent on author pages can lead to an increase in book sales and improved brand loyalty for the authors.

How To Calculate

The formula for calculating Time Spent on Author Pages is to divide the total time spent on all author pages by the total number of visits to those pages. This gives an average of how long visitors are engaging with the content. By measuring total time spent and dividing it by the number of visits, businesses can understand how engaging their author pages are.

Time Spent on Author Pages = Total Time Spent on Author Pages / Total Number of Visits to Author Pages

Example

For example, if the total time spent on author pages in a month is 1,200 hours and the total number of visits to those pages is 6,000, then the calculation for Time Spent on Author Pages would be 1,200 / 6,000 = 0.2 hours, or 12 minutes per visit.

Benefits and Limitations

The advantage of measuring Time Spent on Author Pages is that it provides valuable insight into the level of interest and engagement readers have with the content, which can help in refining marketing and content strategies. However, it's important to note that this metric doesn't account for the quality of time spent. For example, a visitor may spend a long time on a page without making a purchase, so businesses should use this KPI in conjunction with other metrics to get a complete picture.

Industry Benchmarks

In the e-commerce industry, the average Time Spent on Author Pages may range from 1-3 minutes, with exceptional performance levels reaching up to 5 minutes or more. It's important for e-commerce platforms for independent authors to aim for above-average performance to ensure that visitors are engaging with the content and products.

Tips and Tricks

  • Optimize author pages with engaging and informative content to keep visitors interested
  • Use multimedia such as book trailers or author interviews to increase time spent on the pages
  • Monitor and analyze the time spent on different types of author pages to identify successful strategies
  • Implement A/B testing to refine the layout and content of the author pages

Monthly Active Users (MAU) on Platform

Definition

Monthly Active Users (MAU) on the platform is a critical KPI for measuring the number of unique users who engage with the e-commerce platform for independent authors within a given month. This ratio is essential to track as it provides insights into the overall user engagement and the platform's popularity among the target audience. By monitoring MAU, businesses can assess the success of their marketing efforts, user retention, and overall platform performance. This KPI is critical to measure as it directly impacts the business's ability to attract and retain both authors and readers, leading to increased sales and revenue. It matters because a high MAU signifies a thriving and engaged user base, indicating potential growth and success for the platform.

How To Calculate

The formula to calculate Monthly Active Users (MAU) on the platform is the total number of unique users who engage with the platform in a given month. This includes authors listing their books and readers making purchases or interacting with the content. The calculation provides insight into the platform's recurring user base and overall engagement level, contributing to the platform's success and growth.

MAU = Total number of unique users engaging with the platform in a month

Example

For example, if in the month of July, the platform had 500 authors listing their books and 10,000 readers making purchases or engaging with the content, the total monthly active users (MAU) would be 10,500, indicating a healthy level of engagement and interaction within the platform for that month.

Benefits and Limitations

Tracking Monthly Active Users (MAU) on the platform provides businesses with valuable insight into user engagement, retention, and overall platform popularity. It allows for the assessment of marketing efforts, user behavior, and success in attracting and retaining users. However, it is important to note that MAU does not provide detailed qualitative data, and a high MAU does not necessarily equate to profitability or user satisfaction. It is essential to complement MAU with other KPIs to gain a comprehensive understanding of the platform's performance.

Industry Benchmarks

According to industry benchmarks, a typical MAU for e-commerce platforms in the US ranges from 1 million to 10 million. An above-average performance would be considered MAU ranging from 10 million to 50 million, while exceptional performance would exceed 50 million MAU. These benchmarks reflect the varying levels of user engagement and popularity within the e-commerce industry.

Tips and Tricks

  • Implement targeted marketing campaigns to attract and retain users on the platform.
  • Optimize user experience to encourage increased engagement and return visits.
  • Utilize data analytics to identify trends and patterns in user behavior, allowing for informed decisions to drive MAU growth.
  • Consider user feedback and satisfaction to improve platform performance and increase monthly active users.

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