Transforming Data into Insights: the Importance of Creating Product Metrics for Organizational Maturity

Measuring product performance through metrics has become an increasingly common practice in companies looking to optimize their processes and achieve better results. Implementing product metrics not only provides valuable insights into a product’s performance but also helps identify improvement opportunities and guide more effective strategies.

A study conducted by the Harvard Business Review showed that companies that use metrics effectively perform 126% better than those that do not.

In this context, this article aims to explore the importance of product metrics, how to use them in practice, and how organizational maturity influences the quality of these metrics and, consequently, product improvement.

What is a Product Metric and Its Importance?

A product metric refers to a set of quantifiable indicators used to evaluate the performance, health, and success of a product. These metrics provide objective data that helps development teams, product managers, and other stakeholders make informed decisions about the product.

In a volatile business environment, it is essential to base decisions on data and metrics to ensure an objective understanding of product performance. This allows for accurate assessment, trend identification, course correction, and strategy optimization, contributing to the product’s effectiveness and market success.

Main Types of Metrics

There is no standard product metric that applies to all types of businesses, as each company is unique, with different objectives, business models, and target markets. Therefore, metrics that are most relevant and meaningful for one company may not be the same for another.

Effective metrics vary according to various factors, including the industry in which the company operates, the business’s development stage, strategic objectives, and the specific characteristics of the offered product or service. However, I will list the most frequent ones that can help you better understand your product’s performance and plan its improvements.

Customer Acquisition Cost (CAC)

CAC is an essential metric that measures how much a company spends to acquire a new customer, including all marketing and sales-related costs such as advertising, sales team salaries, CRM software, marketing events, and more. CAC is calculated by dividing the total customer acquisition costs by the number of new customers acquired in a specific period.

The basic CAC calculation is: Total Customer Acquisition Costs divided by the Number of New Customers Acquired

For example, suppose a software company wants to calculate CAC for the last quarter. Marketing and sales expenses for the quarter were:

• Sponsored campaigns: R$30,000
• Sales team salaries: R$40,000
• Marketing tools: R$5,000
• Events and fairs: R$10,000 Total Acquisition Costs: R$85,000

In parallel, the number of new customers acquired in the quarter was 100. Therefore, the Customer Acquisition Cost (CAC) for the software company in the last quarter is R$850.

Customer Lifetime Value (LTV)

LTV is a metric that estimates the total value a customer brings to a company during their entire period as a customer. LTV helps companies understand how much they can spend on acquiring new customers (CAC) while maintaining a profitable operation. Knowing LTV allows companies to invest more efficiently in marketing, sales, and customer retention, focusing on strategies that increase the value generated by each customer over time.

There are various formulas for calculating LTV, depending on the business’s complexity. A simple and common method is: LTV = Average Purchase Value × Purchase Frequency × Average Customer Lifespan

Consider again a subscription software company with the following results:

• Average Purchase Value (Monthly Subscription): R$50
• Purchase Frequency (Number of subscriptions per year): 12
• Average Customer Lifespan (in years): 2

The LTV calculation is: 50×12=600 600×2=1200 Thus, the Customer Lifetime Value (LTV) for a software company’s customer is R$1,200.

Conversion Metric

The conversion metric refers to the percentage of visitors or users who complete a desired action on a website, app, or digital platform. This action can vary depending on business objectives and may include events such as:

• Making a purchase
• Signing up for a newsletter
• Filling out a contact form
• Downloading an e-book

The conversion rate is calculated by dividing the number of conversions by the total number of visitors or interactions and multiplying by 100 to obtain a percentage. For example, consider an online store that wants to calculate the conversion rate for April and had the following results:

• Total Number of Site Visitors: 10,000
• Number of Purchases: 500

The conversion rate for the e-commerce site in April is 5%.

Click-Through Rate (CTR)

CTR is a metric that measures the effectiveness of an ad or link by calculating the percentage of people who click on it relative to the total number of people who viewed it (impressions). CTR is often used in digital marketing campaigns, online ads, and emails to assess the performance of a link or call to action.

CTR Calculation: Number of clicks divided by the number of impressions x 100

Consider an email marketing campaign conducted by an online course company promoting a new product.

• Number of Clicks (people who clicked on the email link): 500
• Number of Impressions (emails sent): 20,000

The Click-Through Rate for the email marketing campaign is 2.5%.

Churn Rate

The Churn Rate is a metric that indicates the percentage of customers who stop using a product or service within a given period. It is a critical measure for subscription-based businesses or recurring revenue models, such as SaaS (Software as a Service), telecommunications, subscription e-commerce, among others. The churn rate helps companies understand customer retention and identify issues that may be causing customer attrition.

Churn Rate Calculation: (Number of customers who canceled ÷ Number of active customers) x 100

Consider a project management software company offering monthly subscriptions with the following result last month:

• Total Number of Customers at the Beginning of the Month: 1,000
• Number of Customers Lost During the Month: 50

Therefore, the Churn Rate for ProjectSoft for the month is 5%.

Customer Satisfaction Metric

The Net Promoter Score (NPS) is a metric that measures customer satisfaction and brand loyalty. Developed by Fred Reichheld, Bain & Company, and Satmetrix in 2003, NPS is a simple yet powerful tool to capture customers’ opinions on the likelihood of recommending a company, product, or service to others.

NPS is determined by customers’ responses to a single question: “On a scale of 0 to 10, how likely are you to recommend our company/product/service to a friend or colleague?”

Based on the responses, customers are classified into three categories:

• Promoters (Scores 9-10): Highly satisfied and loyal customers willing to recommend the company. They drive growth through positive referrals.
• Passives (Scores 7-8): Satisfied but not enthusiastic customers. They are vulnerable to competitive offers and may not actively promote the company.
• Detractors (Scores 0-6): Unsatisfied customers who may harm the brand with negative feedback and will not return as customers.

NPS is calculated by subtracting the percentage of Detractors from the percentage of Promoters: NPS = % Promoters − % Detractors. The result can range from -100 (all respondents are detractors) to 100 (all respondents are promoters).

How to Choose the Right Metrics?

Choosing the ideal metrics for a product can be both challenging and complex, as each business and product has its nuances and specific objectives that require a personalized approach to metric selection. However, selecting a good product metric is essential for measuring product success, making informed strategic decisions, and improving the customer experience.

Here are the steps and considerations for selecting the most suitable metric:

Define Product Goals

The first step is to reflect: What is the main objective of your product? For example, it may be to increase the user base, improve customer retention, or even increase revenue. Understanding the primary objective helps align the metrics with desired outcomes.

Understand Stakeholder Needs

These metrics will be presented to which stakeholders? Will it be to business owners, potential investors, or the product team? Each group may have different needs and interests, influencing which metrics are most relevant to adopt.

Identify Key Performance Indicators (KPIs)

Which KPIs are critical to your product’s success? There is a plethora of them: it could be customer acquisition, user activation, retention, referral, and even revenue. Choose KPIs that best represent performance concerning your objectives.

Consider the Product Lifecycle

At what stage is your product? If it is in the launch stage, the metrics should show acquisition and activation of the product. If it is in the growth stage, the focus should be on retention and expansion rates. If your product has reached maturity, prioritize metrics that highlight revenue and efficiency.

Market Metrics

Another way to find product metrics that fit perfectly with your product is to look at the market. Reflect: How do you compare to the competition? Using benchmarks to contextualize your metrics is a good way to understand if your performance is competitive.

Finally, prioritize actionable and predictable metrics, those you can directly influence through changes in the product or strategy and that help you predict future outcomes based on current trends.

Best Tools and Methods for Monitoring Metrics

There are various tools and methods for monitoring product metrics, each with specific characteristics that meet different needs and contexts. Here are some tools and methods for monitoring metrics:

Google Analytics

Description: Google’s free tool for analyzing traffic and user behavior on websites and apps. Main Features: Traffic analysis, conversions, sales funnels, engagement metrics. Ideal For: Companies of all sizes that want to understand user behavior and site performance.

Mixpanel

Description: Product analytics tool focused on user events and actions. Main Features: Event tracking, conversion funnels, retention analysis, A/B testing. Ideal For: Companies that want a detailed view of user interactions with their digital products.

Amplitude

Description: Product analytics platform that provides deep insights into user behavior. Main Features: Cohort analysis, conversion funnels, user journey paths, retention metrics. Ideal For: Companies that need advanced analyses and detailed user segmentation.

Tableau

Description: Data visualization tool that allows creating interactive dashboards. Main Features: Connection to various data sources, customized visualizations, real-time dashboards. Ideal For: Companies that need advanced visualizations and customizable dashboards.

Kissmetrics

Description: Customer behavior analytics tool focused on engagement and retention metrics. Main Features: Conversion funnels, cohort analysis, individual user behavior tracking. Ideal For: Companies that need a detailed view of customer behavior to improve retention.

Methods for Monitoring Metrics

Learn about the main monitoring methods you can apply to understand more about your customer’s preferences regarding the offered product.

A/B Testing

Comparison of two versions of a page or product to determine which performs better is a method applied in testing changes on websites, apps, emails, and other user interfaces. This process is essential for making data-driven decisions, aiming to improve conversion and user experience. By evaluating the performance of different variants, companies can identify and implement improvements that drive positive results and better align with users’ needs and expectations.

Heatmaps

Heatmap tools are used to visualize where users click, move the mouse, and interact with the interface, allowing detailed analysis of user interaction on web pages and apps. This analysis is essential for improving usability, providing visual insights into user behavior, and identifying areas of interest that can be optimized to enhance the overall user experience.

Conversion Funnels

Analyzing the path users take to complete a conversion is an essential practice to identify drop-off points and optimize the conversion process in a sales funnel. Understanding user behavior throughout the process allows companies to identify friction points and implement improvements to increase the conversion rate. This analysis provides valuable insights into user behavior and enables strategic adjustments to improve the sales funnel’s effectiveness.

Real-Time Dashboards

Real-time dashboards showing data and metrics are crucial for continuously monitoring critical KPIs, user engagement, and campaign performance. This application allows companies to make quick, informed decisions using up-to-date data to adjust strategies and maximize results. With immediate access to relevant information, managers can identify trends, detect emerging issues, and quickly seize opportunities, ensuring an agile and effective approach to business management.

Challenges of Implementing Metrics

Implementing product metrics in a company can bring a series of challenges, especially if the organization is not accustomed to a data-driven culture.

Companies with low organizational maturity face significant challenges when dealing with product metrics. Organizational maturity refers to a company’s readiness to adopt systematic and structured processes, including those based on data and metrics.

Here are some examples of challenges faced by companies with low organizational maturity:

Lack of Data Culture

In companies with low maturity, there may be resistance to data culture and data-driven decision-making. This can hinder the effective implementation of product metrics.

Lack of Knowledge and Skills

The team may not have the necessary knowledge to correctly collect, analyze, and interpret the data. This can lead to poorly defined or inadequately interpreted metrics.

Lack of Adequate Tools

The lack of appropriate tools to collect and analyze data can hinder the effective implementation of product metrics.

Lack of Clear Objectives

Without clear objectives aligned with the company’s strategy, product metrics may not be directed to measure what truly matters to the business.

Resistance to Change

Resistance to change can hinder the implementation of new practices, such as the use of product metrics, especially in companies with low organizational maturity.

How Product Metrics Help in Organizational Maturity

Product metrics are more than just numbers; they are a crucial piece for the strategy, operations, and growth of a company. By incorporating product metrics into daily operations, organizations not only optimize their current performance but also pave the way for greater organizational maturity, ensuring they are equipped to face future challenges effectively and sustainably.

Below are some ways in which product metrics contribute to this process:

Providing Data-Based Information

Product metrics offer an objective view of the performance of a company’s products and services. These data help uncover patterns, identify trends, and better understand customer behavior, empowering the company to make informed and strategic decisions.

Strategic Alignment

With clear metrics, an organization can align its business goals with product performance indicators. This ensures that everyone in the organization is working towards the same objectives, which is essential for growth and organizational maturity.

Focus on Continuous Improvement

Metrics enable continuous evaluation of products and processes. By identifying areas where performance is suboptimal, teams can iterate and continuously improve their products and services. This constant feedback loop is essential for organizational maturity development, as it encourages innovation and efficiency.

Culture of Accountability and Transparency

Implementing product metrics creates a culture where data is valued, and decisions are transparent and justifiable. This fosters a work environment where accountability is clear, and everyone understands how their actions impact organizational outcomes.

Skills Development and Empowerment

By focusing on specific metrics, organizations can identify skill gaps in their teams and offer targeted training to close these gaps. This not only improves individual skills but also elevates the overall competence of the organization.

How to Increase Your KMM Maturity Model and Obtain Accurate Product Metrics to Improve Product Quality

The first step to improving your company’s Maturity Model is to understand which of the seven levels it currently resides in. An effective way to do this is to assess your company’s maturity level using the Kanban Maturity Model (KMM).

The KMM serves as a manual that aligns management practices with cultural values within each organization’s specific context. Developed by David J. Anderson and Teodora Boeva from Kanban University, the model was built based on a wide range of data, reported experiences, and case studies involving companies of different sizes. Learn about the seven maturity levels:

Level 0 – Abstract

Companies at the beginning of maturity, focused on improving product or service quality, without a defined work model.

Level 1 – Emerging

Companies begin to establish an organizational structure and processes, still fragile in the market.

Level 2 – Defined

Introduction of basic work processes that may still have flaws, marking an initial phase of structural organization.

Level 3 – Management

More defined processes that meet customer expectations, increasing the company’s resilience in the market.

Level 4 – Quantitatively Managed

Consistent use of processes focusing on economic results and predictability, despite still existing vulnerabilities.

Level 5 – Optimizing

Focus on optimizing efficiency, economic results, and productivity increase, making the company a leader and antifragile.

Level 6 – Congruent

Solid company with sustainable growth, capable of managing risks and adapting to market needs.

Objective is recognized for its expertise in the Kanban Maturity Model (KMM), classified as level 4 in maturity according to our specialists. We integrate KMM not only internally but also in our consulting services for Agile Transformation, starting with an “Agile Assessment” that uses methods like KMM, DevOps, and Lean to evaluate and classify companies.

This assessment allows predicting the outcomes of consulting interventions, aimed at raising organizational maturity and validating the effectiveness of implemented practices. KMM is applied pragmatically at Objective, focusing on data-driven decision-making and gradual evolution of metrics.

A success example of KMM application is the case of a telecommunications company. With Objective’s consultancy, the company’s app significantly increased its reach, improved system integration, accelerated time to market, and enhanced user experience, resulting in about 5 million downloads and tripling the number of users in less than a year.

How the Maturity Card Game Can Help Identify Company Maturity

How about innovating in the approach to boost company development? Objective created the Maturity Card Game, a card dynamic inspired by the Kanban Maturity Model (KMM). This game allows teams to uniquely and interactively explore key KMM concepts, promoting a deeper understanding of organizational maturity and effective action plan development.

Shall we elevate your maturity model together? Contact our specialists.