Overall, the platform is really strong, especially for attribution and deep linking, but there are definitely a few areas where it could improve. One challenge is attribution discrepancies; sometimes the numbers among Appsflyer, Meta, and Google internal backend events do not match, especially after iOS ATT changes. I understand the technical reasons, but it creates confusion during reporting and decision-making. Another pain point is the learning curve; while the platform is feature-rich, onboarding new growth or product team members can take time. Some dashboards and configurations could feel more intuitive, and SDK integration and debugging can also be slightly painful, especially in a hybrid stack like Flutter. Event validation and deep linking debugging sometimes require a lot of manual testing. Reporting flexibility is another area that could improve. Although the dashboards are powerful, many teams still end up exporting raw data into internal Power BI tools for more customized analysis and visualization. Pricing is discussed quite a bit; for smaller startups or early-stage products, Appsflyer can feel a bit expensive compared to the scale they operate at. Lastly, I think predictive insight could become stronger, such as more AI-driven recommendations around campaign optimization, fraud anomalies, or retention forecasting directly inside the platform, which would make it even more operationally valuable.
I would say sometimes the integration could be a bit tough, especially because I struggled when I was integrating Appsflyer into my Apple Search Ads and my iOS application. If the integration could be simplified, it would be better.
One improvement that Appsflyer can make is to find better ways to access aggregating raw data. You have to pay for data ingestion when you export; it's not like you get front-end numbers from the raw export, so those are two things that are a bit challenging. Getting access to a full picture without having to pay for cost aggregation and getting raw data post-install with front-end metrics piped in is a limitation. I rate Appsflyer a nine because I think there are things they can improve on, such as the user interface, which needs a redesign. The user interface for the dashboard and for accessing the metrics exists, but they're just hidden. A reorganization of their interface to allow clients to access important aspects can be improved upon, which can also speed up the heavy manual work sometimes of people within our field.
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...
Overall, the platform is really strong, especially for attribution and deep linking, but there are definitely a few areas where it could improve. One challenge is attribution discrepancies; sometimes the numbers among Appsflyer, Meta, and Google internal backend events do not match, especially after iOS ATT changes. I understand the technical reasons, but it creates confusion during reporting and decision-making. Another pain point is the learning curve; while the platform is feature-rich, onboarding new growth or product team members can take time. Some dashboards and configurations could feel more intuitive, and SDK integration and debugging can also be slightly painful, especially in a hybrid stack like Flutter. Event validation and deep linking debugging sometimes require a lot of manual testing. Reporting flexibility is another area that could improve. Although the dashboards are powerful, many teams still end up exporting raw data into internal Power BI tools for more customized analysis and visualization. Pricing is discussed quite a bit; for smaller startups or early-stage products, Appsflyer can feel a bit expensive compared to the scale they operate at. Lastly, I think predictive insight could become stronger, such as more AI-driven recommendations around campaign optimization, fraud anomalies, or retention forecasting directly inside the platform, which would make it even more operationally valuable.
Appsflyer can be improved with event de-duplication.
I would say sometimes the integration could be a bit tough, especially because I struggled when I was integrating Appsflyer into my Apple Search Ads and my iOS application. If the integration could be simplified, it would be better.
One improvement that Appsflyer can make is to find better ways to access aggregating raw data. You have to pay for data ingestion when you export; it's not like you get front-end numbers from the raw export, so those are two things that are a bit challenging. Getting access to a full picture without having to pay for cost aggregation and getting raw data post-install with front-end metrics piped in is a limitation. I rate Appsflyer a nine because I think there are things they can improve on, such as the user interface, which needs a redesign. The user interface for the dashboard and for accessing the metrics exists, but they're just hidden. A reorganization of their interface to allow clients to access important aspects can be improved upon, which can also speed up the heavy manual work sometimes of people within our field.