Overview

Add to Favorite' rate in the app is the percentage of users who mark items as favourites from total user visits.

What is Add to Favorite rate in App?

The ‘Add to Favorites’ rate in a digital application or website, particularly an ecommerce platform, is a crucial performance indicator. This metric refers to the total percentage of visitors who have flagged an item as a favorite or liked it during their browsing in the application. Often considered as a marker of user engagement, it showcases the users’ interest in the products offered by the shopping platform. A higher rate is indicative of stronger consumer interest, and thus a potentially higher likelihood of future sales or increased user interaction.

Formula

Add to Favorites Rate in App = (Number of Favorites / Total Number of App Visits) x 100

Example

Assume in a month, an ecommerce app had 500 visitors, and out of these, 250 users favorited at least one item. The ‘Add to Favorite’ rate would then be (250/500)*100 = 50%.

Why is Add to Favorite rate in App important?

Understanding the ‘Add to Favorite’ rate offers valuable insights into customer behavior and preferences. It aids in forecasting potential sales, optimizing product placement, tweaking marketing strategies, or personalizing the shopping experience. Customers marking products as favorites often intend to revisit or purchase later, hence it becomes a tantamount predictor of conversion rates.

Which factors impact Add to Favorite rate in App?

The ‘Add to Favorite’ rate depends on various factors including the app’s user interface, product pricing, variety of offerings, product description, reviews and ratings, and overall user experience.

How can Add to Favorite rate in App be improved?

Improving the ‘Add to Favorite’ rate revolves around improving user experience and engagement. Some strategies include optimizing the app for quick and easy navigation, including high-quality product images, providing detailed product descriptions, and implementing compelling call-to-actions. Personalizing user experiences based on search and purchase history also enhances the ‘Add to Favorite’ rate.

What is Add to Favorite rate in App’s relationship with other metrics?

The ‘Add to Favorite’ rate correlates directly with several other ecommerce metrics. It can predict potential conversion rates, substantial user engagement, and customer retention rates. High ‘Add to Favorite’ rates reflect positively on the website traffic and extend cart duration, leading to potential sales.

Free essential resources for success

  • The Incremental ROAS Playbook for BFCM 2023

    The Incremental ROAS Playbook for BFCM 2023

    Dive into a playbook that revolutionizes your BFCM campaign approach. Crafted with meticulous precision, it...

  • Decision-Grade Measurement outer Cover

    The Decision-Grade Measurement Checklist

    Build a marketing measurement program with the structure, governance, and accountability needed to drive confident decisions.

  • Made to Measure Seasonal Marketing With Data-driven Success

    Made to Measure: Seasonal Marketing With Data-driven Success

    Build smarter seasonal strategies by connecting data insights directly to execution and performance.

Discover More From Lifesight

  • Why Robyn and Meridian Aren't Enough

    Published on: September 16, 2026

    Why Robyn and Meridian Aren’t Enough

    Robyn and Meridian make open-source MMM accessible, but running them effectively still requires technical expertise, ongoing maintenance, and time. Here’s why modern teams need measurement that’s easier to use and act on.

  • Incrementality-Driven Budget Operating System

    Published on: September 8, 2026

    What Is an Incrementality-Driven Budget Operating System?

    Measure true incremental lift, forecast future performance, and reallocate marketing budgets based on what actually drives results.

  • Measure-mingle-cover-

    Published on: August 31, 2026

    Four Marketing Conversations I Haven’t Stopped Thinking About

    Four honest takeaways on AI, authenticity, and measurement from our latest gathering of omnichannel marketing leaders.