Measurement data, marketing analytics and engagement tools

Our main use case for Appsflyer is to measure and gauge our marketing abilities, and we also use it for mobile attribution and gauging customer penetration and how we engage with our clients. It helps us in analytics and finding new methods to market our products better, engage with our clients, and measure user behaviors depicted by our consumers. These measurement scores are very useful in our decision-making and developing new marketing strategies to scale our company's strategies further.

A specific example of how I use Appsflyer for mobile attribution or marketing analytics is when we recently launched a new product feature offering 24/7 health services to all our clients. In this case, we targeted them through social media, and from our end of the analytics obtained from various social media analytic companies, there was a difference in measurement and scores. This is why we engaged Appsflyer to gain a true, accurate picture of penetration and the statistics obtained along with user behaviors, as we find platforms like Google or Meta offer analytics or insights that are not always accurate, necessitating a platform that provides a general overview. That is one area we rely on Appsflyer.

Regarding how I rely on Appsflyer day-to-day, I can add that Appsflyer has evolved from being a mobile-based device to now offering a whole new web experience. This means that all our marketing measurement capabilities are captured, not only those done through mobile platforms but even through web research and other valid methods of marketing measurement.

The best features Appsflyer offers include integrity and reliability in usage; I find that Appsflyer is very reliable with real-time data that reflects our marketing position and whatever our team is doing. Additionally, the scalability of Appsflyer makes it easy to acquire, use, and deploy, with minimal hitches in acquiring and using it, making it durable for small users and individual users. Furthermore, there is the aspect of fraud prevention, where I find Appsflyer effectively detects fraud instances like fake installs, ensuring that we protect our revenue and business image.

Fraud prevention has greatly helped my team, as some of our crooked team members previously engaged in fake installations or what we can call fake activations that were not from real-time organizations or users, causing us to expend resources on fake observations and attributions, which adversely affected our revenue. With Appsflyer in place, we were able to detect all that, prevent revenue leakage, and ensure that our customer base reflects accurate real-time data.

Appsflyer positively impacts my organization as our mobile attribution and marketing measurement platform, helping us grow our customer base while ensuring that our marketing abilities and plans are accurate. Nowadays, it has helped us automate our marketing efforts and predict user behavior, enabling us to work in a predictable environment that ensures our campaigns target our direct customer base, ultimately saving resources in growing our portfolio and revenue.

One specific outcome indicating how Appsflyer has helped our organization is the improvement in customer growth. Before acquiring Appsflyer, we struggled to convert leads and cold call prospective clients into actual clients due to our inability to predict and interact with them reliably. However, with Appsflyer, we now measure outcomes effectively; over the past three months, our conversion rate has exceeded 60%, whereas before it was below 40%. We previously encountered difficulties with follow-ups and poor metrics, but our conversion rate has improved, and our customer growth is at an all-time high.

An area where Appsflyer can improve is in addressing the steep learning curve; some users report that using the platform initially is a bit tedious. If the vendor could implement a training program or send out representatives to help new clients get started and be proactive with the platform, it would greatly improve user adaptability and reliability.

Further, I can add that I have noticed needed improvements after using it for a while, specifically regarding the pricing module. For startups and individual users, the pricing modules may not be favorable, as they primarily suit organizations with a substantial portfolio and customer base, locking out smaller users. Adjusting the pricing arrangements would greatly enhance accessibility for those small users.

I have been using Appsflyer for four years now.

Appsflyer is stable without any hitches in usage. With proper investment, it is a reliable platform.

Scalability is also secure, dependent on how our organization is growing and consuming the product. Generally, scalability remains open and secure based on our usage.

Customer support is reachable promptly and is very resourceful. Whenever I have queries or issues, customer support provides engaging and fruitful responses that help resolve any challenges encountered while using the platform.

We never used any other solution for measuring our marketing analytics; we just started using Appsflyer.

We have indeed seen a return on investment measured by gains made in customer acquisition, market penetration, and our ability to convert new clients into those who enjoy our services regularly. We witness returning clients using our services, all facilitated by insights and data obtained from Appsflyer, leading us to save money, time, and increase the productivity of our employees.

My experience with pricing, setup cost, and licensing is generally positive; based on our budget and research, we proposed a quote and received a favorable response. The setup cost was a bit variable due to the steep learning curve, requiring additional training and orientation for our employees. However, we did not encounter issues in this regard as we aimed for easy adoption and usage of the platform. Regarding licensing, I find it to be genuine and open, depending on the chosen duration of use, with the vendor being flexible and open to negotiations on contract renewals.

Before choosing Appsflyer, we did not evaluate any other options because our acquisition process involved being referred to Appsflyer by our market partner. After analyzing the platform, we found it to be secure and intuitive for our workflow, prompting direct acquisition.

My advice to others considering using Appsflyer is that given the current business trends and the need to penetrate the industry, having a platform that provides analytics on how effectively to market products is crucial. With Appsflyer, you can never go wrong, as it will help provide insights, streamline operations, and assist in gaining a foothold in the market while fostering organizational growth in the long run.

Regarding Appsflyer's AI capabilities for governance and security, it is a very secure platform. Its ability to execute fraud prevention requires top-notch governance and security capabilities, and with the incorporation of AI, it becomes more adept at detecting threats, ensuring no data is lost or customer information compromised; hence, it is stable and well-rounded.

On the accuracy and reliability of its output, since Appsflyer serves as our mobile attribution and marketing measurement platform, AI significantly helps make it more intuitive by sifting through large amounts of data and analyzing customer user behavior. Based on my experience and the reports I have received, I can confidently state that it is accurate and reliable.

I would rate my overall experience with Appsflyer as a 9 out of 10.

My main use case for Appsflyer is for marketing purposes to track user installs for different campaigns from our iOS and Android mobile applications.

Currently, I mainly use Appsflyer to get users' conversions in my mobile apps, and then I send those conversion details to Reddit and Facebook.

I am currently using Appsflyer to resend events over third parties such as Facebook and Reddit, and to better track conversion events.

I believe that Appsflyer's best feature is integrations. It is probably the tool that has the most integrations when it comes to marketing campaigns and conversion tracking. You can find integrations for Facebook, Reddit, Segment, Mixpanel, and many others.

Appsflyer has positively impacted my organization by helping me quickly integrate with Facebook and Reddit without having to write a bunch of APIs or having to install the Facebook SDK into my mobile apps.

I think setting up or managing these integrations with Appsflyer is not straightforward most of the time. The documentation provided by Appsflyer is useful, but it is always difficult to test things in development. Integration is not always straightforward because there are many moving parts.

I think Appsflyer can be improved by enhancing the UI on the website, and especially the UI and UX, because it is confusing finding things. The dashboard is confusing as well, and finding events is difficult. I would say the first priority would be to improve the UX to make the whole experience easier.

The only other thing is to have a lower price tier for companies that only need to use integration and do not care about the dashboard or other features in Appsflyer.

Appsflyer's customer support is great.

I would rate Appsflyer's customer support a nine.

As of now, I have not measured the return on investments for Appsflyer. Initially, it was high because I used it for various things. Currently, it would be low because I am using it for integrations.

It is difficult to predict the price for Appsflyer as it is based on conversions. It is also expensive.

My advice to others looking into using Appsflyer is to pay attention to the pricing and make sure you can scale their price by paying more as your conversions increase because it can get expensive. I give this review an overall rating of seven.

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.

The biggest advantage of Appsflyer is its accurate attribution and comprehensive analytics. Its analytics compatibility is excellent in the market, and it has been referred by some of our colleagues. We found that its analytics capability is very strong.

Accurate attribution and comprehensive analytics are valuable to us because attribution shows which types of ads we are campaigning with and which types of ads perform better. From that perspective, analytics is quite impressive and its capability is excellent.

Appsflyer provides a strong ROI for our company and our application, which helps both our marketing team and product team. It has increased the number of installs due to better campaigning, and this increase was based on the results we were receiving. We have better analytics, which enables us to make better decisions and increase installs.

An area of improvement for Appsflyer is the large number of reports and dashboards. We believe that summarizing those reports and configuration options would be better for new users.

I have been using Appsflyer for around two plus years.

My advice to others looking into using Appsflyer is to easily check the dashboard and variety for better analytics and comprehensive dashboards. However, you will not find everything easily, and you have to look at documentation first before starting to use the analytics capabilities.

If someone asks me for an analytics and attribution platform, I will refer Appsflyer because it is a good solution. I would rate this product a 9 out of 10.

I primarily use Appsflyer for mobile attribution and tracking marketing analytics data. Advertising campaign data is tracked with Appsflyer, the user journey is monitored, and it is determined which ad source—Facebook, Meta, or Google—drives the most app installations, in-app reviews, and in-app revenue. Appsflyer is used for user journey tracking and advertisement campaign tracking.

For fraud detection, when running an advertisement campaign on social media platforms, fake bots or fake app installs can occur and drive down ROI. Appsflyer automatically detects those fraudulent installs and cleans up the marketing data.

Appsflyer's in-app analytics feature is valuable, allowing measurement of ongoing user behavior and downstream events such as account creation, purchases, and subscriptions. The fraud detection automatically blocks any fake app installs or bot app installs.

Appsflyer also has great deep linking features, generating smart and contextual links that send users from ads or emails directly to specific in-app pages.

Appsflyer has positively impacted the organization by helping increase revenue and reduce user acquisition costs, allowing for more users at a cheaper cost. Specific details about the outcomes and metrics are with the marketing team, but Appsflyer has greatly improved ROI.

Appsflyer could improve its documentation so that developers can implement it better. Additionally, the analytics dashboard could be more modernized to better understand the user data that is collected.

I have used Appsflyer for over two years since the Appsflyer SDK was implemented in the applications.

Appsflyer is stable.

Appsflyer is scalable, and there are no problems with scalability. It can handle any amount of traffic.

Appsflyer's customer support is good. Others considering Appsflyer can try it out as it is simple to integrate and the customer support is strong, making it easy to set up and get running to track user journey.

No other options were evaluated, and Appsflyer was the only solution used.

There are no improvements needed with the deployment method or setup experience.

The organization is a customer of Appsflyer.

Appsflyer saves money by providing greater ROI. Fewer employees are needed because the system does not need to be built from the ground up, and a ready-to-use solution is provided by Appsflyer, making it a great product.

Details about pricing, setup cost, and licensing are handled by the marketing team and are not available for specific commentary.

No other options were evaluated, and Appsflyer was the only solution used.

Appsflyer has positively impacted the organization by helping increase revenue and reduce user acquisition costs, allowing for more users at a cheaper cost. This review received an overall rating of 8.

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.