Measurement data, marketing analytics and engagement tools

My main use case and primary use case for Appsflyer was mobile attribution and in-app event tracking. We used it to understand where app installs were coming from, measure the effectiveness of marketing campaigns, and track key user actions within the application. From my perspective in quality engineering, I am mainly involved in validating SDK integrations, verifying the events were being tracked correctly, ensuring attribution data was accurate, and confirming the data was flowing properly to downstream reporting and analytics systems.

One specific example was tracking the user onboarding journey in a mobile application. We integrated Appsflyer SDK to capture key events such as app install, user registration, OTP verification, and first successful transaction. The marketing team used this data to understand which acquisition channels were driving high-quality users. From my side as an SDET, I validated that the events were firing correctly, verified that the event parameters matched the expected values, and ensured that the data appearing in Appsflyer reports was consistent with the actual user actions performed in the app.

A common use case was tracking app installs, registration, and first transactions. I am responsible for validating that Appsflyer captured those events correctly and that the attribution and reporting data matched the actual user behavior in the application.

I think the best features of Appsflyer are mobile attribution, in-app event tracking, fraud protection, and its integration ecosystem. Mobile attribution is probably the most valuable feature because it helps organizations understand which marketing channels are driving installs and user acquisition. In-app event tracking is another standout feature because it provides visibility into user behavior after installation, helping teams measure engagement, conversions, and retention. I also appreciate the broad integration support. Appsflyer connects with many advertising, analytics, and marketing platforms, which makes it easier to consolidate data and reporting. Overall, the combination of attribution accuracy, event tracking, and integrations is what makes Appsflyer particularly valuable.

Overall, Appsflyer is a strong platform, but there are a few areas where it could be improved. One area is reporting flexibility. The platform provides a lot of useful data, but more customization options for dashboards and reports would help different teams tailor insights to their specific needs. Another area is onboarding and ease of use. Appsflyer offers many features and configuration options, which is powerful, but it can also create a learning curve for new users. More guided workflows and contextual recommendations would help teams get value more quickly. Overall, these are incremental improvements rather than major concerns. The core attribution and analytics capabilities are strong, but enhancements in usability, reporting, and automated insights would make the platform even more effective.

One area related to integrations is the overall integration management experience. Appsflyer supports a large number of partners and platforms, which is a major strength, but as the ecosystem grows, configuration and troubleshooting can sometimes become more complex. Overall, the integration ecosystem is one of Appsflyer's strengths, but enhanced visibility, diagnostics, and validation capabilities would make it even more effective for organizations managing complex marketing technology stacks.

I have been using Appsflyer for approximately one year.

I have used it for one year and I do not find any bottlenecks in the stability. In my experience, Appsflyer has been a stable and reliable platform. We did not face frequent outages or disruptions, and the core functionalities such as attribution tracking, event logging, and reporting were generally consistent. When issues did occur, they were usually related to configuration or integration rather than platform instability.

In my experience, Appsflyer is highly scalable. Since it is a cloud-based SaaS platform designed for mobile attribution and event tracking, it can handle large volumes of installs, events, and campaign data without requiring any changes on the user's side. We used it in scenarios where traffic and event volume would spike during marketing campaigns, and the platform continued to process and report data consistently. From an engineering perspective, scalability is largely handled by the vendor, so we did not need to manage infrastructure or performance tuning ourselves. Overall, I would rate its scalability highly because it supports growing user bases and increasing event volume.

I have not had a chance to contact customer support personally, but from what I have heard and listened to from my colleagues, their customer support is really great and they are responsive. Additionally, they are intelligent people who are resolving our queries. Response times could vary depending on the complexity and priority of the issue, but in most cases, issues were resolved in a reasonable time frame.

Previously, we relied on traditional approaches and we were not using any kind of solution. We were just doing all the work manually.

Definitely, I see clear ROI. I do not have access to exact financial ROI figures or revenue-level metrics, so I cannot quote specific money-related returns. However, from an operational perspective, we did see clear value in terms of reduced manual effort in consolidating marketing and analytics data, faster access to campaign performance insights, and improved confidence in attribution data. This helped the teams make quicker decisions around campaign optimization and reduce the time spent on manual reporting and reconciliation across different tools.

Currently, I am not in the position to choose because my managers and stakeholders are the ones who are providing us the product, and we are there to use it, not to evaluate the other options. I am not in a lead position to do that evaluation, so I have not researched other options.

One thing I would add is that the value of Appsflyer comes not just from any single feature but from how the features work together. Attribution data, event tracking, reporting, and integrations all complement each other and provide a more complete picture of the user journey. I also appreciate the flexibility of the platform. Different teams, whether marketing, product, analytics, or quality engineering, can use the same data for different purposes while still working from a common source of truth.

Appsflyer has been a major key resource for having a positive impact and giving the organization much better visibility into user acquisition and user behavior. Before having a centralized attribution platform, it was more difficult to understand which marketing efforts were driving meaningful results. With Appsflyer, marketing, product, and analytics teams could work from a common set of data and make more informed decisions. It became easier to evaluate campaign performance, understand user engagement, and identify which acquisition channels were bringing in higher-quality users. Overall, the platform improved visibility, reduced manual effort in analyzing data for multiple resources, and supported more data-driven decision-making across teams.

Although I do not have the exact numbers in front of me, we observed a few meaningful improvements from adopting Appsflyer. First, the time spent manually reconciling marketing and analytics data decreased by roughly twenty-five to thirty percent because teams could access attribution and event data from a centralized platform. We also saw faster identification of tracking issues. The time required to validate and troubleshoot event tracking discrepancies was reduced by approximately twenty to twenty-five percent because we had better visibility into the data flow. Although those figures are approximate rather than formally measured KPIs, they reflect the operational improvements we experienced after implementing the platform.

From a governance perspective, I think Appsflyer does a good job of helping organizations maintain control over attribution and analytics data. The platform provides structured data collection and reporting processes, which helps teams work from a consistent and trusted source of information. From a security standpoint, I appreciate the emphasis on data protection, access management, and fraud prevention. Since attribution and customer engagement data can be business-critical, having controls around data access and integrity is important. Overall, I would rate the governance and security aspects positively because they help organizations maintain trust in the data that drives marketing and product decisions.

In my experience, the accuracy and reliability of insights depend heavily on the quality of the underlying tracking and attribution data. Appsflyer generally provides a strong foundation in this area, which helps improve confidence in the outputs and recommendations generated from the platform. From what I have seen, the platform does a good job of processing large volumes of attribution and event data consistently, and the reporting has been reliable enough for marketing and product teams to make operational decisions. Overall, I would rate the accuracy and reliability positively because the platform provides consistent data and insights that teams can trust for day-to-day operations.

My main advice would be to focus heavily on proper implementation and event planning from the start. Appsflyer is very powerful, but the quality of insights depends on how the SDK integration and event tracking are set up. I would also recommend clearly defining your key events and attribution requirements early, such as installs, registrations, purchases, or other conversion actions, so that tracking remains consistent across campaigns and releases. Teams should make good use of the reporting and integration capabilities but also be mindful of maintaining clean and consistent data across all connected tools. I would rate this review an eight out of ten.

I am using Appsflyer in one of my projects to track user events and to track the installation on devices for generating campaigns. We are using it for generating the stream-specific deep links.

When a user has signed up and clicked on the sign-up button, I generate an event by triggering it on Appsflyer so that I can track whether the user has clicked on the sign-up button and whether they completed the sign-up or not. For deep linking, we are providing generated links so that the user can click on them. I have worked on a food application and have integrated Appsflyer on that project.

The dashboard and real-time analytics are the main reasons I use Appsflyer when I am tracking order conversions. The dashboard is simple and robust, and we can easily use it.

It has impacted us very positively in terms of converting our users to generate revenue, specifically by encouraging users to complete the order on the basis of tracking events.

I have been using Appsflyer for two years and five months.

Appsflyer has integration SDKs that are very easy to integrate because they have provided proper documentation on how to use the SDK and how we can generate or trigger the events and how we can generate deep links. All of the documentation is thorough and well-structured.

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.

There is a very big positive impact from using Appsflyer. Instead of optimizing purely for installs or traffic volume, we start optimizing for retained users and repeat purchases, even for LTV. Overall conversion quality also increases, and one major improvement is budget allocation. Teams are able to identify which campaigns, channels, or creatives are valuable users versus low intent traffic, helping us reduce wasted spend on scale channels that actually drive revenue. Another strong impact is visibility across funnels; Appsflyer helps connect acquisition data with downstream actions such as sign up, checkout, and subscriptions. Deep linking significantly improves user experience; users can move directly into relevant product and offer pages after clicking an ad or referral link, which improves activation and our conversion rates. Fraud prevention is also an area where we have seen measurable gains by detecting fake installs, click spams, and low-quality traffic, preventing a significant amount of wasted acquisition spend.

Implementing Appsflyer gives us much clearer visibility into campaign quality and user behaviors, with a significant improvement in ROAS optimization. Earlier, we scaled campaigns mostly based on install volume and CPA, but after attribution and cohort analysis, we identified channels that brought low retention users. Reallocating budget helped improve overall ROAS by around twenty to twenty-five percent over the past two quarters, and we also saw retention improvements. For example, D30 retention for users acquired through our best-performing campaigns improves from roughly fourteen percent to around twenty-one percent. After optimizing targeting and creatives based on Appsflyer data, deep linking helps improve onboarding and conversion flow; install to purchase conversions in some campaigns improve by nearly twelve to fifteen percent because users land directly on a relevant product page instead of the generic home screen. On the fraud side, Protect360 helps identify suspicious traffic patterns from a couple of acquisition sources, allowing us to reduce wasted acquisition spend by close to eighteen percent in a few months. Another significant impact is decision-making spend; earlier campaign analysis involved pulling data from multiple dashboards and internal systems, but with Appsflyer acting as a centralized attribution layer, the growth and product teams can react much faster to campaign performance and user quality signals.

The best feature of Appsflyer is the attribution engine itself, where we can do ROAS per campaign, and we can calculate the retention sources. It works across Meta ads, Google ads, and OEM trafficking, and OneLink deep linking is also the second most useful feature we found. Irrespective of which platform it is, whether Android or iOS, with just one link we can redirect them to the Play Store or App Store, which is very helpful. These two are the best features that we use from Appsflyer.

The biggest shift is that before attribution, the teams optimized for installs, while after attribution, teams optimize for profitable users. For example, if we run Meta ads, which are expensive installs, we can easily attribute whether Meta installs are expensive or Google installs are expensive. We also see CAC, which is very meaningful. Another example is calculating retention-based optimizations; we run campaign A with one hundred thousand installs and campaign B that gives us forty thousand installs. Without attribution, campaign A looks really good because it pulled one hundred thousand installs, but retention is very important for us. Campaign A had an eight percent D30 retention, while campaign B had a thirty-one percent D30 retention. This is how important it is to check retention-based optimization, where we can connect ad creatives, installs, and all downstream events. We can discover trends such as women's fashions and their average order value, or even discount-led creatives which attract low retention users, including influencer traffic which converts better for prepaid orders.

There is even geographic decision-making that we can do, and with geographic decisions, we can see whether Bangalore users have high retention or whether any tier three cities have high acquisition and low activations. We can also analyze platform basis, whether iOS has two times the ROAS versus Android. Geo-segmenting allows us to spend, create region-specific onboarding, and optimize all logistics costs and change inventory availability. The fraud detection feature, Protect360, helps us discover install form, click spam, bot traffic, and suspicious CTIT patterns, saving us a significant budget, as it can literally save lakhs of rupees per month for a scaled app. We see a meaningful ROI after implementing Appsflyer properly, with the biggest impact on marketing efficiency and decision-making spending. By identifying low-quality acquisition channels, reallocating spend improves overall campaign efficiency by roughly twenty-two to twenty-five percent.

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 have been using Appsflyer from past six months.

Appsflyer is very stable and its performance has always been reliable.

Appsflyer handles growth and data needs very well.

Overall, customer support has been amazing. We receive support quickly, and there is a very good experience in terms of support; they respond to emails very quickly, and premium support is very helpful for us.

We see a meaningful ROI after implementing Appsflyer properly, with the biggest impact on marketing efficiency and decision-making spending. By identifying low-quality acquisition channels, reallocating spend improves overall campaign efficiency by roughly twenty-two to twenty-five percent.

My overall experience with pricing, setup cost, and licensing is good; however, the initial pricing is slightly high. Eventually, we manage because visibility into ROAS, retention, and fraud prevention directly impacts marketing efficiency and budget optimization. That said, for smaller teams or early-stage startups, the licensing cost feels quite high initially, especially when adding advanced modules such as Protect360, raw data export, and premium support. One thing we appreciate is scalability; as campaign volume and analytic maturity grows, the platform integrates well with broader growth and BI workflows.

For others considering Appsflyer, I mainly suggest not to scale rapidly; instead, scale slowly and only as needed. It should be on-demand, starting small and then moving to higher and better. This interview was awesome and amazing; it was very realistic. There is nothing that I have to add to this. Overall, I would say my experience with Appsflyer has been very good. It did not reduce headcount, but it definitely improved team efficiency. A smaller growth and analytics team can manage campaigns more effectively due to clear attribution and automated reporting pipelines. Overall, ROA becomes visible through reduced wasted spend, improved ROAS, better conversion quality, faster decision-making, improved retention insight, and less manual reporting overhead. My review rating for this product is eight point six out of ten.

My use cases for Appsflyer include notification and deep linking handling and campaign running. We have a mobile application from the food and beverage domain that is a very big brand in the US. We are generating QR codes and deep links to track people who are not installing my app and to determine where they are installing from. For tracking purposes, we are also using Appsflyer. The major use cases are deep linking, QR code, installation tracking, and uninstallation.

Regarding marketing analytics, my product team is using it, but I am not using it. As I am a technical person, I am not involved in any marketing activities. We have a product team that takes care of running campaigns and all the related steps.

The feature I like the most about Appsflyer is the tracking feature, specifically the tracking of installation and uninstallation. If there is a campaign running on Facebook and I clicked on that and installed my application from Facebook, I can track it. If I am uninstalling my application, I have visibility from this. I did a few steps and after that I installed the application, so I have a clear picture of whether my app is doing something wrong or if something else caused my user to go away from my application.

From the Appsflyer dashboard, I would say the most valuable feature I use while developing is the real-time tracking feature, which is pretty good.

For these kinds of reviews, I suggest that a new feature could be creating push notification types from Appsflyer. If possible, as other platforms do, such as CleverTap and others, we could send and create push notifications from the CRM portal as well. If this capability is possible from Appsflyer, then that would be easier. We would not need to implement push notifications on our end; we would use the Appsflyer code. That would be easier if they are giving the deep linking and all this functionality.

I have been working with Appsflyer for the last eight months and am using it in our project.

From the last eight months, I have not seen any lagging, crashing, or downtime.

Regarding the scalability of Appsflyer, I would say the overall product is totally scalable. The feature I am using is so smooth that I am able to use it easily. From what I read in the release history of Appsflyer, they are enhancing the features. For example, when Android launched Android 16, they added support for the latest Android in their new SDKs. They are scalable and stable.

I have not had to contact the technical support team, as Appsflyer is doing great with the use cases I am utilizing.

I have not used any alternatives to Appsflyer. Some features are similar to Appsflyer features, as in my other projects in the Middle East I worked with the CleverTap app, which is a very big user engagement platform where I can track everything, user events, installation, uninstallation, and run campaigns. However, in my current project, the client wants to use Appsflyer, so we are using Appsflyer.

If I were to choose between Appsflyer and CleverTap, both are good. In my previous project, the use case was different, so I was using CleverTap. But in my current application, we have a different use case, so it is totally fine. Both are doing good in their respective places. It depends on what use cases we need and which type of application we have.

The initial implementation for Appsflyer is easy. By doing a few lines of code, we can easily implement it into the mobile application.

One person will be enough to cater to the Appsflyer features.

For cohort analysis, you are referring to the app behavior and what events I did in the app. I have used that. I am tracking my complete application, what step I am on, what screen I am on, and how much time I stay. I have all the data, and that is very helpful.

I have not used the fraud protection feature of Appsflyer. I saw it in the document when I was implementing it, but I have not used it.

For real-time data processing, I am not involved directly. We have a dedicated team processing the data. But on the development part, I am tracking real-time installation and uninstallation, and that was quite smoother and quicker than other products.

Appsflyer requires maintenance. As day by day Appsflyer is working on their SDK part, we need to update that SDK ourselves as well. We definitely have to monitor the updates from Appsflyer.

I would rate this product an 8 out of 10.

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.

Appsflyer has changed my organization positively as it marks the beginning of client engagement and the client engaging funnel. It is the first step to track installs and first events, such as registration and applying for credit limits.

It has helped me track conversion from install to registration. It helps me divide streams between channels such as Google, Facebook, and Telegram. It is useful to divide between channel, sub-channel, and banner.

The tables for anti-fraud detections stand out to me.

The anti-fraud detection tables help me in my work by filtering in-app events and installs to correctly calculate the cost of marketing.

There are useful tables and in-app events that allow me to describe specific events that are not pre-calculated but designed by the user.

Appsflyer can be improved with event de-duplication.

I have been using Appsflyer for half a year.

Appsflyer is stable in my experience.

I have needed to reach out to customer support. I would rate the customer support an eight on a scale of one to ten.

I have seen a return on investment with Appsflyer.

I have used Appsflyer for almost two to three years.

My main use case for Appsflyer is data analytics testing, where there are multiple events for user actions and particular properties for those events. I have been using Appsflyer to validate whether those events are triggered properly once the user has performed the action and whether all the properties are displayed accurately for those events. This is the main purpose of Appsflyer that I have used.

I validate those events with Appsflyer by leading the iOS platform in the OTT domain. For the user who has signed in as an anonymous user, they launch the application, and once they sign in, there is a user action for signing in. The event will be a successful sign-in. As soon as I log in with any user on the iPhone, I check within a minute or within five minutes for this particular event of successful sign-in. The device name, for example, if I view that I am using an iPhone 14, it will be displayed as iPhone 14. If I am using it from Bangalore, Karnataka, the location will be displayed as Bangalore. To track that specific user journey, I click on that recent event action and validate whether all the properties are displayed or not. Another way to validate is for a specific user using an SSO ID or user ID; based on that unique ID, I search in Appsflyer, download the data, and open it in Excel in CSV format to validate whether all events and properties are displayed accurately. This is how I test.

After performing all the user actions, I conduct sanity, smoke, and regression testing in data analytics testing. I perform all those scenarios end-to-end, and only after that do I go to Appsflyer, searching with a unique ID, maybe an SSO ID for a signed-in user, or a device ID for an anonymous user. I obtain the specific data and download it after five minutes, giving some time for it to save all those user actions. I verify whether all the properties are displayed accurately for that user action that was performed. This is what I basically test.

The best feature Appsflyer offers, since I mainly work on the analytics part, is the different ways to track the user using SSO ID, username, email ID, phone number, and location. I can easily figure out and search for any particular user, which I feel is a very good feature.

Searching by location or user info makes my workflow easier because I was checking it from Bangalore without having the SSO ID or user ID. I wanted to check whether the issue was related to a specific property in that event not triggering for any users. I filtered the location to Bangalore and found that many user actions and events were triggered. I checked to see whether the issue was device-specific or affected all users in the location of Bangalore, which helped troubleshoot the root cause effectively.

Appsflyer has positively impacted our organization by improving the particular events' properties. We had logged multiple issues where some properties were not displayed in the events. The location was accurate, and with the implementation of a few properties, it will be easier to validate as it allows tracking every user individually. Based on Appsflyer testing itself, we found that if there is this property, it makes validation much easier.

I feel that a feature improvement would be beneficial. After performing all the user actions, we were supposed to wait a few minutes, maybe two or five, and then check Appsflyer to download it, as there is no UI or UX to display user journey actions and properties directly. We had to download it and then check it in Excel. This is one aspect that Appsflyer lacks.

Appsflyer is very stable, which is why we have been using it in our company for a long time. Other companies, including our rivals, also use Appsflyer, and technically, it performs very well.

There are no scalability issues.

I have not contacted customer support or had an issue at all from their end while testing for many years, so my experience has been that it is built reliably.

We had permission only for a pre-production environment and did not have access to the production environment. That is the URL, and we use specific user credentials to access it.

The efficiency has improved since I have been using Appsflyer for a long time, around three years. Initially, it felt slow, as we used to give at least five minutes after performing all user actions to download the file for validation. However, we have since improved, and we can download everything within a minute after performing the user actions.

I am not sure about the pricing, setup cost, or licensing; my overall experience was good. Pricing is something that needs to be asked with the finance team since I am focused on technical aspects.

I have evaluated other options, including Mixpanel, which had UI/UX features but was noted to have a very high cost, as I heard from colleagues in management roles. This is why we have continuously used Appsflyer instead. I have also used Google Analytics, which is also more expensive.

My advice to others looking into using Appsflyer is that some testers may perform every single scenario and validate it every time in the application data analytics tool. Instead, I suggest to companies using Appsflyer to perform all user flows just once and then download the history of that user journey to validate it, as this is quicker and easier.

There are no additional concerns about Appsflyer; it is doing very well. The only concern I mentioned is the UI and UX part. If the UI part is implemented, there will not be any greater competitor in this domain. I would rate this product an 8 out of 10.

Appsflyer is used for our marketing campaigns. At Adobe, we have our internal applications and we also build client applications. For that, we create our marketing campaigns and ads based on user installations. To track all those activities and user bases, we utilize Appsflyer.

We have integrated Appsflyer with our systems, both with iOS applications as well as Android applications. Each time a user installs the app, we track the location. Whenever the marketing team runs a campaign, we look for where the app installations are coming from at maximum volume, where we are getting good users, stable users, from which sources, and then the marketing team can make decisions in terms of where our maximum user base is and proceed with action for business improvement.

The primary use case which we utilize it for is marketing campaigns and tracking app installations, and understanding our real users so that marketing decisions become easier.

For me, the best part is that it clearly shows which ads or channels are bringing your real users. It tells us from where we are actually getting a stable set of user bases so that marketing decisions for the future become easier. It provides a great user interface, making it easy for tracking and future marketing campaigns.

The integration is quite smooth, and the documentation which Appsflyer provides, along with the support from its tech team is amazing in terms of getting started and integrating into our applications. Dashboards, segregations, and charts provided for analytics are top-notch and up to market standard, helping business users to analyze data and make future marketing decisions.

It has significantly improved our revenue, helping us understand our real users to target our core audience better and expand our business.

Appsflyer is a powerful application, but sometimes having a lot of reports and charts can become complex initially and has a learning curve to it. This could be more stabilized.

There is still room to improve in terms of complexity for the initial learning phase, and the user interface and report generation could be enhanced.

We have been using Appsflyer in our multiple projects for four years.

Appsflyer is very stable, scalable, and totally maintainable. It has been amazing working with Appsflyer.

It is very scalable. We have integrated it into both our Android applications and native applications, as well as into our iOS application with Swift code. It is super scalable and integrable.

Customer support is amazing, and the tech support assists us during the initial installation and helps integrate the system with our applications. They resolve issues, conflicts, and post-installation queries effectively.

We did not use any specific solutions previously, but Appsflyer was the first one we tried. It is amazing in terms of implementation, scalability, and maintainability.

The initial setup was smooth. The integration is supported by the documentation provided by Appsflyer and the amazing tech support. Setting up was smooth, and the dashboards and analytics provided are of market standard for business users to make decisions.

We directly have contact with the tech team during setup and installation, which was very smooth. The pricing and purchase are handled by the sales and acquisition team.

Since implementing Appsflyer, we have seen a 30% increase in our total app installations and a similar percentage increase in our user base and revenue. It has helped us understand our user base better and increase our count by around 20% and see improved revenue by around 30%.

Pricing is handled by the sales and acquisition team. Being a developer, we do not have direct access to pricing but only handle the tech setup.

We did not evaluate any other options. Appsflyer was our first and only preference, as we had discussions with business professionals.

It has been amazing utilizing such a great tool for tracking app installation marketing and analyzing our marketing performance. It helps make correct marketing decisions based on running targeted app marketing campaigns.

I would recommend it if you are running an app marketing campaign, as it really helps understand performance and save money and time. I rate this product 8.5 out of 10.

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.

I would say track is one of the best features Appsflyer offers, particularly for my case with tracking for different campaigns. The overall campaign performance is what I refer to when I say tracking, and that feature is valuable for me.

Appsflyer has impacted my organization quite positively, as we were also using Adjust, and I prefer Appsflyer. By looking at the data, we make regular changes in our campaigns, and it has been positive over time by doing that.

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.

I have been using Appsflyer for three to four years.

Appsflyer is stable and quite scalable.

I have used customer support once, and it was quite helpful.

I am satisfied overall with Appsflyer. Once you go past the integration part with Appsflyer, you will find it quite useful, so just look at the numbers. I would rate this product 9 out of 10.

We have in-app clients and we integrate with them and use Appsflyer to run our campaigns and real-time monitoring.

Myntra is a very big client of ours. So we integrated Myntra through Appsflyer and it provides us the postback and we translate it. We are integrated with the postbacks from Appsflyer and we use it in our dashboard using our own systems. That's how we are able to target the correct user base and monitor them.

From a performance marketing perspective, Appsflyer is very reliable. However, reporting customization and raw data accessibility could be improved. With increasing privacy limitations, some delays and data constraints are also noticeable in other attribution frameworks, so this is acceptable.

For compliance perspectives, Appsflyer is good. It provides support for GDPR and iOS-related changes. If the attribution and data handling are aligned with privacy regulations, which is critical when working with different regions, I think it's good.

Appsflyer is mostly used to get events data and real-time events data and tracking and reporting.

Real-time attribution is one of the reasons Appsflyer stands out. It supports click-through, view-through, and other attributions. We also track installed events and conversions across multiple channels. You also have live dashboards. All of these are good features.

Appsflyer has this cross-platform feature, which I liked.

Since it's known, we have onboarded pretty big clients and they really prefer Appsflyer over other alternatives.

Two points I've deducted from Appsflyer: one for reporting, which could give more insights and more access to raw data and events. The other point would be that many times we run into problems, and Appsflyer tech support is a bit hard to reach. If it's easier, I think that would be better.

The main factors I consider when evaluating attribution solutions like Appsflyer are features and reliability. Data accuracy and integration are basically the most important factors, and capability to measure performance across multiple channels is crucial. I also look at how well the platform integrates with different networks and tools, especially when we run across multiple channels. Real-time reporting and post-install events are important. Having features like fraud protection, privacy compliance, and others is good. Pricing is also considered, but for our performance-driven campaigns, accuracy and scalability are a higher priority.

Appsflyer has a positive impact on teamwork because it has a single source of truth that teams can rely on. Any of the teams can access the same data which reduces discrepancies. The dashboards and reports can be shared, which also makes collaboration easier.

From a programmatic perspective, Appsflyer is one of the more reliable platforms when it comes to cross-channel management. It's strong for enterprise-level use cases and integrates well with other traffic sources, which is very important for our setup. Compared to other tools, it offers more robust post-install tracking and better scalability. However, it's less flexible in terms of custom reporting and onboarding new users requires more time due to the depth of features. Privacy limitations, especially with SKAdNetwork, also affect the level of detail available for optimization.

About the dashboards in Appsflyer, while they are useful, there is limited flexibility when it comes to building very custom-sized reports. That can be improved and we can get more details. Apart from that, the pricing can be a challenge sometimes for smaller clients, so that is one thing. Some teams may have problems accessing and working with raw data. It is complex at times, so a workaround or an easier dashboard for that would be beneficial.

Reporting customization and raw data accessibility could be improved. One point would be for reporting. It could give more insights and more access to raw data and events. The other point would be that many times we run into problems, and Appsflyer tech support is hard to reach. If it's easier, I think that would be better.

I've been using Appsflyer for the past three years.

Appsflyer is stable.

Appsflyer's scalability is pretty good. We have run campaigns from several hundred thousand dollars per day, so it's pretty good with that.

Sometimes the customer support of Appsflyer is a bit late, but most of the time they are on time and helpful.

I haven't used a different solution previously. Sometimes we use Branch as well, but I would say 90% of our accounts are with Appsflyer. We've been using this from earlier and I prefer this instead.

Onboarding clients with Appsflyer is very easy and it fast tracks the process. We can enable the postbacks as soon as possible and integration is an easy process as well, which makes the client come to us more often.

The documentation and learning curve for new users on Appsflyer is really good. You have a whole documentation and there's something called Appsflyer University as well. It's really supportive for new users to get hands-on and learn it.

Appsflyer helps in growth. There are fewer employees needed because of Appsflyer. We save time and money. We are also gaining better clients and more budgets from them.

We evaluated Branch and Adjust before choosing Appsflyer, but they are not as efficient in terms of the metrics we are looking for. The clients also prefer Appsflyer, so that led us to go with it.

Understand your use case with Appsflyer, what is required from you and your client and what features you're looking for. Based on that, you can make the decision. I would rate this review a 3 out of 5.