March 20, 2025 - 5 minutes read
Product Management
As a product manager in a SaaS scale-up, you’re constantly shipping features, improving user experience, and optimizing workflows. But how often do you step back and ask: is this actually moving the business forward?
As a Product Management consultant, I often find product teams celebrate launches as if shipping features is the goal. But releasing stuff is different from making an impact. Without a clear connection between product effort and business success, teams risk prioritizing the wrong initiatives, struggling to get stakeholder buy-in, and ultimately becoming a cost center rather than the company’s driver of growth.
AUTHOR
Sybren van Putten
Sr. Product Consultant
March 20, 2025 - 5 minutes read
One of the hardest parts of being a PM is proving the impact you and your teams make. Many product teams track product usage, customer feedback, and release timelines, but these metrics alone don’t tell the full story.
To make data-driven product decisions that actually support business priorities, you need to understand three interrelated elements:
Each of these should play a critical role in your efforts to ensure that product work contributes to real business value rather than just feature releases. Let’s break them down.
A goal is a clear and preferably shared statement of what a company or team intends to achieve. In the context of product management, goals ensure that product work is purposeful and outcome-driven.
Effective goals help you turn big-picture business objectives into actionable product work, but it’s key to get them right. Poorly defined goals can lead to wasted effort, while well-crafted goals bring alignment between product teams and the company’s overall strategy. For example:
Goals should be specific, measurable, and directly tied to business success. This is where business metrics come in.
Your leadership team isn’t thinking about sprint velocity or user engagement (sure, we know reality is sometimes different). What they are concerned about is things like revenue, profitability and growth. Business metrics track your company's overall health. These are the numbers the leadership (and let’s not forget about investors) focuses on when assessing performance.
Unlike product metrics - which measure how users interact with the product - business metrics focus on financial and operational success. These are typically lagging indicators, meaning they reflect past performance rather than predicting future trends.
Here are some common business metrics for SaaS companies that every PM should be familiar with:
Business Metric | Description |
Customer Acquisition Cost (CAC) | Cost to acquire a new customer |
Customer Lifetime Value (CLTV) | The total revenue a customer generates over their lifetime. |
Churn rate | The percentage of customers leaving in a given period. |
Monthly Recurring Revenue (MRR) | Predictable revenue from subscriptions each month. |
Time to Value (TTV) | How quickly a user gets value from the product. |
These metrics are what your leadership cares about - or let’s be real: should be caring about. If you as a PM aren’t thinking about these metrics, you’re not thinking about how your product impacts the business. In other words: what makes your product successful. But business metrics alone don’t tell why the needle goes up or down. That’s where product metrics come in.
While business metrics tell you what happened, product metrics help you explain why those outcomes happen, predict what’s going to happen, and more importantly, tell what you can do about it. These are the numbers product teams focus on to track how users engage, adopt, and retain the product.
Unlike business metrics, product metrics are leading indicators meaning that they help predict changes in business performance before they show up in revenue, churn, or profit. For example:
Here’s how product metrics connect to business metrics:
Business metric | Product metrics | Impact example |
Churn rate | Activation rate, engagement depth | Better onboarding reduces churn |
Customer Acquisition Cost (CAC) | Free-to-paid conversion rate | Improved trial flow lowers acquisition cost |
Customer Lifetime Value (CLTV) | Feature adoption, upsell rate | Higher feature usage increases expansion revenue |
Monthly Recurring Revenue (MRR) | Retention rate, trial conversions | Increased stickiness leads to revenue growth |
Time to Value (TTV) | Onboarding completion, first-use success | Faster setup improves retention |
When product teams track the right product metrics, they can identify and fix problems before they show up in financial reports.
Product managers shouldn’t just own the backlog. They should think and act like a CEO and take ownership of business outcomes. Setting goals that can be tracked by business metrics, which can be predicted by product metrics is the foundation of outcome-driven product management and data-driven product decisions. This is what can separate PMs who just ship features from those who contribute to a company’s future.
However, knowing the metrics is only half the battle. The next step is learning how to set the right goals (that aren’t outputs) so that your team’s work has a direct and measurable impact on business success.
In the next article, we’ll break down goal-setting frameworks like OKRs, HEART, and North Star Metric, showing you exactly how to apply them in your product strategy. Stay tuned!
As you ponder about Product and explore the potential within your product management practices, remember that you're not navigating these waters alone. We, the 25Friday team, are dedicated to guiding tech companies through the maze of product strategy. With our expertise in consultancy and nearshore development, we partner with organisations to fine-tune their product vision, align their teams, and craft strategies that resonate in today’s dynamic market. Reach out to us, and let's work together to turn your product challenges into successful ventures that stand out in the tech landscape.
Product Goals and Metrics
Business Impact Measurement
Outcome-Driven Product Management
SaaS Growth Strategies
Feature Shipping vs. Business Value
Revenue-Focused Product Roadmap
Data-Driven Decision-Making
User Engagement Analytics
Product Adoption and Retention
PM Ownership of Business Outcomes
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Sybren van Putten
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