{"id":2707,"date":"2021-09-15T10:00:00","date_gmt":"2021-09-15T10:00:00","guid":{"rendered":"http:\/\/138.197.200.24\/resources\/blog\/measuring-product-engagement-score\/"},"modified":"2026-07-31T12:40:05","modified_gmt":"2026-07-31T12:40:05","slug":"measuring-product-engagement-score","status":"publish","type":"blog","link":"https:\/\/www.smartkarrot.com\/resources\/blog\/measuring-product-engagement-score\/","title":{"rendered":"Measuring Product Engagement For A Mobile \/ Web Application"},"content":{"rendered":"
SaaS enterprises
\nunderstand that recurring revenue is the lifeblood of their business. Having a
\ngreat product or app isn\u2019t enough; driving sustained usage and getting renewals
\nis a must. <\/p>\n
How do you drive usage or get more people to use your app\/ service over a period? By ensuring your app delivers value to them. In other words, helps them solve a problem or perform a task or make life simpler, smarter, or better in a specific way. While this value proposition is the true north for your business and development teams might have built stellar features to fulfill this promise, users\u2019 perception of this value could differ drastically from yours. Therefore, the need to track and understand how they engage with your product through meaningful product analytics.<\/p>\n
By measuring product engagement, you\u2019ll have data and numbers to guide:<\/p>\n
When done well, product analytics gets you deeper insights into user behavior which helps you build sharper engagement strategies and drive product success. <\/p>\n
The idea of
\nengagement varies based on the product \u2013 a grocery delivery app gets used differently
\nfrom an airport app. Therefore, before discussing how to measure engagement, it\u2019s
\nessential to define what engagement looks like for your specific product. <\/p>\n
In essence, engagement suggests users taking meaningful action with your app over a period. Begin by listing the activities users can perform on your app. If you run a grocery shopping app, your list could look like this: <\/p>\n
Remember,
\nthis list is likely to change and evolve in sync with your product. <\/p>\n
Now that you know which user actions are meaningful and relevant, set up a mechanism to track them. We suggest using an app tracking and analytics tool, which gives you a holistic picture of user behavior across touchpoints and all through the user journey. Some tools<\/a> allow you to track both web and mobile apps, even providing video captures of how users interact with your app. <\/p>\n For SaaS analytics, each key activity you had listed in step 1, assign a weightage (say values ranging from 1-10, where 10 indicates the highest weightage). Why do this? Some activities are more valuable and meaningful than others. For instance, inviting a friend or writing a review on social media is more meaningful than asking to be notified about a product. The former should get a higher weightage in your scoring system, say 7 as against a 4 for choosing product notification. <\/p>\n For each activity, you wish to measure, multiply the weightage by the number of times the activity took place for a single user account, in a defined reporting period. For instance, if tracking logins over two weeks, your score could look like<\/p>\n Event (login): 1 (weightage) x 7 (number of occurrences in the last 2 weeks) = 7 \u00a0<\/p>\n Tabulate Your table Run a We have a product Now that It\u2019s an aggregate of four scores that track different aspects of product engagement to provide analytics. <\/p>\n 1> Duration Index tracks app usage. It shows the median time (in hours) spent by a user on the platform per day, and also the usage trend, by comparing the length of sessions or time spent, every 15 days. As a product company, one needs to carefully watch app usage and trends, and this index lets one do exactly that. <\/p>\n 2> Retention Index measures regularly active users through cohort analysis. It measures the percentage of users who continue to revisit the app and use the platform over time. Each of these pre-defined intervals gets a weighted score, which is then used to calculate the composite score for retention. <\/p>\n 3> Performance Index is a composite of two key sub-parameters \u2013 the average time for a page to load, and the percentage of successful items loading for that page. Both affect user retention in today\u2019s digital economy thriving on accessibility and immediacy. <\/p>\n The latter is particularly relevant for pages that see high request volumes, giving the business a clearer view of how different pages\/ sections of their app perform. Performance Index is replaced by Rating Index for mobile apps, where we pick up ratings from the Mobile App Store (if it is available in the public domain).<\/p>\n 4> Loyalty Index measures the overall continuity of usage of the platform\u2019s features. It is calculated based on the number of users who are dropping out (churn), measured by a lack of logins for longer than a month. The index also accounts for the type of app (Mobile or Web) to create an appropriate benchmark. <\/p>\n Through product analytics track all key events and indicators that matter for product engagement, in a single place. See changes in product usage in real-time and take the right steps to improve engagement. Reliable product analytics and actionable insights, without the need to build a calculation mechanism or manage the process manually. That\u2019s what SmartKarrot offers. <\/p>\n SaaS enterprises understand that recurring revenue is the lifeblood of their business. Having a great product or app isn\u2019t enough; driving sustained usage and getting renewals is a must. Why track product usage? How do you drive usage or get more people to use your app\/ service over a period? B<\/p>\n","protected":false},"author":2,"featured_media":2706,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_focuskw":"","_yoast_wpseo_title":"Measuring Product Engagement For A Mobile \/ Web Application","_yoast_wpseo_metadesc":"Product Analytics tracks all key events and indicators that matter for product engagement, in a single place and see changes in product usage in real-time.","footnotes":""},"blog-category":[28],"class_list":["post-2707","blog","type-blog","status-publish","format-standard","has-post-thumbnail","hentry","blog-category-product-success"],"acf":[],"yoast_head":"\nStep 3:
\nAssign a weightage for different activities<\/strong><\/h4>\nStep 4:
\nCalculate an overall score<\/strong><\/h4>\n
\nthis score for all events to create an overall engagement score for each user
\naccount for that defined reporting period. <\/p>\n
\ncould look like this:<\/p>\n
\nsimilar exercise for each account, to get the engagement score for each
\naccount. Divide by the number of accounts to get an average product engagement
\nscore. <\/p>\nStep 5:
\nInterpret and make meaning<\/strong><\/h4>\n
\nengagement score of 25. But what does this suggest \u2013 is 25 an indicator of high
\nengagement, or is that an average score? Moreover, each of your user accounts
\ncome with their own unique attributes. Account A could have 25 users, with 12 of
\nthem logging in daily. Account B with 10 users could see 8 user logins daily.
\nHow would you account for these nuances and still have a reliable way of
\ninterpreting these scores? We suggest using an approach like percentile
\ncalculation to compare these raw scores and make meaning from them. <\/p>\nWhy do
\nit yourself when you can automate it? <\/strong><\/h3>\n
\nyou know how a product engagement score can guide your business, you\u2019ll want to
\ntrack it periodically. But tracking events and calculating the scores can be
\ntime and effort consuming. SmartKarrot\u2019s Product Engagement Score calculates
\nproduct engagement automatically, removing the need for rows and columns of data
\non your spreadsheet. <\/p>\nWhat is SmartKarrot\u2019s Product Engagement Score<\/a>?<\/strong><\/h4>\n
SIGN UP FOR A FREE TRIAL NOW!<\/a><\/h4>\n<\/div>\n","protected":false},"excerpt":{"rendered":"