SaaS Product Metrics to access the growth of your product

SaaS Product Metrics to access the growth of your product

What are KPIs?

Why is choosing metrics essential?

User Acquisition Data:

1. Customer Acquisition Cost (CAC):

The amount of money spent via various campaigns/sources to acquire a customer is what we call Customer Acquisition Cost. There is no particular formula to determine how much you need to spend to acquire each customer. It varies with each business based on how much they can afford to spend on customer acquisition.

However, it is always recommended to maintain a CAC ratio of 3:1, i.e., you should be able to generate 3 times the amount of money from every user you spent your money acquiring.

2. Retention Rate:

The number of customers who have been retained from the ones acquired, over a period of time, is known as the retention rate. While acquiring a customer seems like a success, retaining them is actually the bigger deal. Also, budget-wise, it helps you in a long run too. Guess why? Because acquiring a new customer costs 7 times more than retaining one!

Learn more on how you can Retain ALL your users!

In order to calculate the user retention of your product, use the formula given below:

how to calculate customer retention rate
how to calculate customer retention rate

3. Churn Rate:

In one way, it is fair to say that the Churn rate is the opposite of the Retention rate. The rate at which the users stops associating with your product within a given period of time. Unlike retention rate, it is important to keep the churn rate at the lower side. An ideal churn rate would be 0% which is not possible in practicality. So, a good churn rate would vary with each business model based on their various factors. Here’s how you calculate the churn rate:

How to calculate churn rate
How to calculate churn rate

User Engagement Data:

1. Product Engagement Score:

The score that determines the ultimate engageability of the product is known as the Product Engagement Score (PES). This metric is calculated by the combination of three factors that will judge the user engagement- Adoption, Stickiness, and Growth. PES is used as one of the easiest yet efficient ways to see how a product is performing.

  • Adoption: The percentage that determines the number of users adopting your main features.
  • Stickiness: The percentage that depicts the how often the users engage with your product known as stickiness
  • Growth: The growth of the user associated with your product over a period of time.

The combination of these three factors will result in giving us the Product Engagement Score.

2. Activation Rate:

When the user performs the action that has been set as the success factor for your product, it is known as activation. The action can be anything that makes the user continue using the product. And the rate at which activation takes place amidst your users is known as the Activation rate.

From the activation rate, it is possible to infer if the product is perceived to be useful by the user. A good activation rate suggests that the users are liking the UX and is, therefore, providing value to the customer.

The number of users who performed the action of success per the total number of users who signed up gives us the answer to the activation rate of the product.

3. Conversion rate

For example for every 100 users if you are getting 50 users signing up then the conversion rate would be 50%. The goal can be anything like completing particular action signup./ join the newspaper/buy products. It is basically a number of people taking an action from the number of people who had an opportunity to take it.

4. Task success rate

The number of people successfully completing the task by a total number of people tried out (Attempts) the task gives us a task success rate. It is helpful to understand how effective is the task and gives us a opportunity either to enhance it or validate it.

5. Time on Task

It is basically how long does a user takes to complete a particular task. The lower the person takes time the more effective the experience. Multiple factors can be a reason like loading speed, the number of screens the user need to g through, got confused or lost. Calculate the average time it takes by doing a testing/averaging the time takes by the set of users.

User Satisfaction Data:

1. Net Promoter Score:

Net Promoter Score is a simple metric that allows us to see how loyal the customers are to the product/brand, by measuring their satisfaction. The process of collecting this data is rather simple that could be done at any phase of the customer lifecycle. It is done by asking users how satisfied they are with the product on the scale of 0–10, 10 being the score for the most satisfying experience.

Based on the response of the user, they can be classified into Detractors, Passive and Promoters which is explained in detail below:

How to calculate net promoter score
How to calculate net promoter score

2. Customer Satisfaction Score:

As the name suggests, CSAT is the direct indicator of customer satisfaction. This score indicates how satisfied the customers are with the product or even specific features of it. CSAT is generally expressed in percentage and this data can be acquired by asking users questions about how satisfied they are with the product.

Right from a single question to any number of questions can be asked to the users and the score is taken generally on a scale of 1–5 or 1–10. These results are averaged out and when expressed in percentage, 100% indicates total customer satisfaction and 0% indicates the exact opposite.

Formula for satisfied customers for my business
Formula for satisfied customers for my business

3. Feature Fit Index:

When updates are made for the product, it is necessary to track if it is received well by the users. Feature Fit Index is an interesting KPI that helps us understand how well the new feature of the product is perceived by the user.

The process of collecting this data is quite simple. However, this cannot be asked right away after the launch of the update. A time period of at least a month is recommended for the users to resonate with the new feature for them to decide if they are liking it or not.

Their answer for the question if they would be disappointed if the feature was removed lets us calculate FFI score. The total number of respondents who said they will be disappointed upon new feature removal / total number of survey participants gives us the FFI score.

A score of above 40% is suggested to be a good FFI and it means that the feature is after all welcomed by the users.

These are some of the key product KPIs that we recommend to include in your product management plan. Choose your metrics wisely for they are the ones that will predict the performance and the future of your product

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