How To Calculate SMAC (Stage Monthly Active Clusters) in Hive | Arithmix

Calculating SMAC (Stage Monthly Active Clusters) is a valuable tool for businesses looking to track user engagement and retention. By analyzing the number of active users in a given time period, businesses can gain insights into their product's performance and make data-driven decisions to improve it. In this article, we'll explore what SMAC is, when it's valuable to calculate, and how to calculate it in Hive.

What Is SMAC (Stage Monthly Active Clusters)?

SMAC is a metric used to measure the number of active users in a given time period. It's calculated by counting the number of unique users who have interacted with a product or service within a specific stage of the user journey, typically a month. SMAC is a valuable metric because it provides insight into user engagement and retention, which are critical factors for the success of any product or service.

SMAC can be broken down into three components: stage, monthly, and active clusters. The stage refers to the specific point in the user journey that is being measured, such as sign-up, onboarding, or retention. Monthly refers to the time period being measured, typically a month. Active clusters refer to the unique groups of users who have interacted with the product or service during the specified time period.

When Is It Valuable To Calculate SMAC (Stage Monthly Active Clusters)?

SMAC is valuable to calculate for any business that wants to track user engagement and retention. By measuring the number of active users in a specific stage of the user journey, businesses can identify areas where users may be dropping off and take steps to improve the user experience. SMAC can also be used to track the success of marketing campaigns and product updates, as well as to compare the performance of different products or services.

SMAC is particularly valuable for businesses that rely on recurring revenue, such as subscription-based services. By tracking the number of active users over time, businesses can identify trends and make data-driven decisions to improve retention and reduce churn.

How to Calculate SMAC (Stage Monthly Active Clusters) in Hive

Calculating SMAC in Hive is a straightforward process. First, you'll need to define the stage of the user journey that you want to measure. This could be sign-up, onboarding, retention, or any other stage that is relevant to your business.

Next, you'll need to define the time period that you want to measure. Typically, this will be a month, but it could be any other time period that is relevant to your business.

Finally, you'll need to count the number of unique users who have interacted with your product or service during the specified time period and stage. This can be done using Hive's built-in functions, such as COUNT DISTINCT.

Once you have calculated SMAC, you can use it to gain insights into user engagement and retention, and make data-driven decisions to improve your product or service.

In conclusion, calculating SMAC is a valuable tool for businesses looking to track user engagement and retention. By measuring the number of active users in a specific stage of the user journey, businesses can identify areas for improvement and make data-driven decisions to improve the user experience. Calculating SMAC in Hive is a straightforward process that can provide valuable insights into the performance of your product or service.

How Do You Calculate SMAC (Stage Monthly Active Clusters) in Hive

Hive itself isn�t naturally geared towards letting you calculate complex metrics like SMAC (Stage Monthly Active Clusters). As an alternative, teams typically use products like Arithmix to import data from Hive and build out dashboards.

What is Arithmix?

Arithmix is the next generation spreadsheet - a collaborative, web-based platform for working with numbers that�s powerful yet easy to use. With Arithmix you can import data from systems like Hive, combine it with data from other systems, and create calculations like SMAC (Stage Monthly Active Clusters).

In Arithmix, data is organized into Tables and referenced by name, not by cell location like a spreadsheet, simplifying calculation creation. Data and calculations can be shared with others and re-used like building blocks, vastly streamlining analysis, model building, and reporting in a highly scalable and easy to maintain platform. Data can be edited, categorized (by dimensions) and freely pivoted. Calculations are automatically copied across a dimension - eliminating copy and paste of formulas.

Arithmix is fully collaborative, giving your entire team access to your numbers and the ability to work together seamlessly.

Calculating SMAC (Stage Monthly Active Clusters) in Arithmix

Calculating metrics like SMAC (Stage Monthly Active Clusters) is simple in Arithmix. Once you've created your free account, you�ll be able to import your Hive data, and use it to create natural language formulas for metrics like SMAC (Stage Monthly Active Clusters).

Arithmix is designed to give you the power to build any calculations you want on top of your Hive data, while also being easy to use and collaborate on. You can share your dashboards with users inside and outside of your organisation, making it easy to empower your whole team.