My main use case for Appsflyer is mobile attribution and marketing analysis. We have used Appsflyer for one of our Android applications, where we use it for marketing ads and analytics and for running campaigns for performance and install and re-engagement types.
I typically use Appsflyer for deep linking, attributions, and tracking all the URLs that we share, such as all the campaigns that we do via QR code. When we first launched Clydo.in, which is a shopping quick commerce fashion app, we had posters and banners all over the places which have a QR code generated with Appsflyer's deep link via OneLink, and we were able to measure how much traffic was coming from scanning that particular QR code. That is one marketing campaign we did with posters and QR codes across all of Bangalore.
My main use case for Appsflyer at the bank involves data engineering, API, and data integration. For data integration at the bank, there are tables about installs and in-app events, along with a main table. There are also specific tables for Apple devices, so I need to integrate a specific table with the main tables.
My main use case for Appsflyer is to investigate my campaigns and see the results from organic and non-organic users from different applications. I have implemented the event tracking of Appsflyer in my campaigns to track the data and determine which users come from different campaigns in Google Ads or from Apple Search Ads.
My main use case for Appsflyer is mobile attribution. A specific example of how I use Appsflyer for mobile attribution is that I use it for iOS scan data to get a single source of truth using their models to fill in our attribution gap.
Appsflyer offers a centralized dashboard and advanced analytics that simplify data handling for marketers, providing real-time attribution and effective cross-channel management.Appsflyer is known for its “single source of truth” dashboard and scanning schema, which greatly enhance data analysis. Users leverage it for accurate data tracking, insightful customer support, and efforts in fraud protection and privacy compliance. It facilitates user tracking with several identifiers and improves...
My main use case for Appsflyer is mobile attribution and marketing analysis. We have used Appsflyer for one of our Android applications, where we use it for marketing ads and analytics and for running campaigns for performance and install and re-engagement types.
I typically use Appsflyer for deep linking, attributions, and tracking all the URLs that we share, such as all the campaigns that we do via QR code. When we first launched Clydo.in, which is a shopping quick commerce fashion app, we had posters and banners all over the places which have a QR code generated with Appsflyer's deep link via OneLink, and we were able to measure how much traffic was coming from scanning that particular QR code. That is one marketing campaign we did with posters and QR codes across all of Bangalore.
My main use case for Appsflyer at the bank involves data engineering, API, and data integration. For data integration at the bank, there are tables about installs and in-app events, along with a main table. There are also specific tables for Apple devices, so I need to integrate a specific table with the main tables.
My main use case for Appsflyer is to investigate my campaigns and see the results from organic and non-organic users from different applications. I have implemented the event tracking of Appsflyer in my campaigns to track the data and determine which users come from different campaigns in Google Ads or from Apple Search Ads.
My main use case for Appsflyer is mobile attribution. A specific example of how I use Appsflyer for mobile attribution is that I use it for iOS scan data to get a single source of truth using their models to fill in our attribution gap.