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Implement analytics and measure impact πŸ“ˆ
Implement analytics and measure impact πŸ“ˆ
Saif avatar
Written by Saif
Updated over a week ago

Mobile app analytics are integral to the development process for various reasons. They provide valuable insights into user behavior, including app usage patterns, specific areas of interaction, and actions performed within the app. These insights can then be leveraged to devise an effective action plan to enhance the product. This may involve adding new features that address user needs, improving existing features to enhance user convenience, or eliminating underutilized features. By implementing analytics for your app, you can accomplish the following objectives:

  1. Acquire precise and comprehensive user behavior data that is directly relevant to your app.

  2. Utilize data-driven decision-making processes to steer the course of development.

  3. Measure and evaluate the impact of newly introduced features, enabling informed adjustments.

  4. Enhance the overall user experience (UX) by identifying areas for improvement based on analytics insights.

  5. Drive revenue growth by employing data-driven strategies to optimize monetization opportunities.

To establish your own analytics dashboard, we recommend the following solutions based on our experience with Shopify brands:

  1. Integrate Firebase, Google Analytics (GA), or a Customer Data Platform (CDP) such as Klaviyo to gather accurate user behavior data effectively.

  2. Incorporate Firebase or any suitable Mobile Measurement Partner (MMP) tool to track event counts, create funnels, segment audiences based on specific events, and analyze channel-specific traffic.

By implementing these recommended analytics tools, you can gain comprehensive insights into user behavior, enabling you to make informed decisions for your mobile app's development, improvement, and overall success.

Tech Stack to be integrated




User Journey, RFM models, Channel-wise traffic


Event counts, funnel creation, audience segmentation (based on events), Channel wise traffi

Generic e-commerce events to be tracked


Trigger when

a user installs app

a user opens the app for the first time

a user signs up to measure the popularity of each sign-up method

a user logs in

a user searches your content

a user shares content

a user submits their payment information

a user submits their shipping information

a user adds items to cart

a user adds items to a wishlist

a user begins checkout

a user completes a purchase

a user receives a refund

a user removes items from a cart

a user selects an item from a list

a user selects a promotion

a user views their cart

a user views an item

a user sees a list of items/offerings

a user sees a promotion

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