Adjust has been incredibly helpful for analyzing data from our advertising campaigns. It allows us to gain deeper insights into our product performance, making it much easier to optimize both campaigns and the product itself. As a trusted third-party platform, Adjust also simplifies and accelerates the integration of data between our product and various ad networks, ensuring a smooth and efficient workflow. Review collected by and hosted on G2.com.

While Adjust has been very useful overall, we’ve noticed that its data can sometimes differ from other measurement tools like Google Analytics, which can create some uncertainty during analysis.

Additionally, the depth of data available for iOS operating system products are still somewhat limited. We hope to see improvements in these areas in the future to make the platform even more reliable and comprehensive. Review collected by and hosted on G2.com.

I like Adjust for its depth of reporting and the flexibility of raw data. It allows me to analyze performance beyond basic metrics and better understand user behavior after install. The detailed reports and raw data access let me break down performance by channel, campaign, and user behavior without relying on pre-built views. This makes it easier to validate data, build custom analyses, and spot issues that wouldn't show up in standard dashboards. Adjust helps me solve attribution clarity across channels and reduces the guesswork in measuring campaign performance, especially when scaling multiple UA sources. The initial setup was relatively smooth, with basic integration being straightforward. Review collected by and hosted on G2.com.

One of the main drawbacks I’ve noticed with Adjust is the performance of the platform, especially the page loading speed. The interface can feel quite slow at times, particularly when navigating between different sections or loading detailed reports. This slows down workflow and makes it less efficient when you need to check data quickly.

Additionally, Adjust does not offer much flexibility when it comes to creating custom metrics or fully tailoring the data view. Users are somewhat limited to predefined metrics and report structures, which makes it harder to analyze data exactly the way we want. Review collected by and hosted on G2.com.

I personally prefer using Adjust because, in my experience, it provides a clear and highly reliable view of marketing performance. The data closely reflects actual results, which minimizes discrepancies when comparing with internal reporting and gives me greater confidence in decision-making.

One of the biggest advantages of Adjust is its ability to centralize data. Instead of switching between multiple dashboards across different ad networks, I can access a comprehensive overview in a single platform. This significantly improves efficiency, especially when monitoring and optimizing campaigns in real time. Additionally, the UI/UX is clean, intuitive, and visually well-designed, making it easy to navigate and extract insights quickly.

From an integration standpoint, Adjust works seamlessly with most major ad networks. The setup process is straightforward and doesn’t require much time for standard implementations. However, iOS tracking—particularly SKAdNetwork (SKAN)—can be more complex and demands careful configuration. While overall integration is relatively easy, advanced tracking setups still require a deeper level of attention and experience.

Adjust is an essential part of my daily workflow. It’s typically the first platform I check each day to get a quick snapshot of performance across all campaigns and channels. By consolidating key metrics into one place, it allows me to make faster, more informed decisions without needing to jump between multiple tools. Review collected by and hosted on G2.com.

I find that setting up tracking for iOS can be quite complicated. There are many steps involved, especially with SKAN and different configurations, and I haven’t fully handled it smoothly yet.

At times, the process feels a bit overwhelming because there are too many setups and requirements compared to Android. It takes more time to get everything right, and even small mistakes can affect the data. Sometimes I encounter minor issues, but I have support so I can still resolve them quickly. Review collected by and hosted on G2.com.

I like Adjust's accuracy and reliability in attribution, which gives me clear, real-time insights into campaign performance, making it easier to optimize user acquisition strategies. I appreciate the intuitive dashboard, strong fraud prevention features, and seamless integration with multiple ad networks. These save me time, help me make data-driven decisions quickly, and maximize ROI for mobile app campaigns. The accurate attribution helps identify which channels and campaigns drive high-quality users, allowing for better budget allocation. The fraud prevention features protect my campaigns from invalid traffic and fake installs, keeping my marketing budget from being wasted and ensuring trustworthy performance data. These features make it much more efficient to optimize campaigns, reduce wasted spend, and improve overall marketing performance. Review collected by and hosted on G2.com.

While Adjust is a strong platform overall, there are a few areas that could be improved: Dashboard customization could be more flexible. Sometimes it takes extra time to set up view or reports exactly the way I need for specific campaigns. Data latency in certain reports can occasionally slow down real-time optimization, especially when making quick decisions on scaling campaigns. Integration setup with some ad networks or internal systems can be a bit complex and time-consuming. Pricing may be relatively high for smaller teams or projects, which can limit accessibility. Improving these areas would make the platform even more efficient and user-friendly for UA workflows. Review collected by and hosted on G2.com.

Adjust makes data tracking and attribution in UA campaigns much more convenient and reliable. It provides real-time insights into user behavior, helping teams quickly understand performance across channels. With its accurate revenue and event tracking, marketers can confidently measure ROAS and optimize campaigns. The unified dashboard simplifies complex datasets, saving time in analysis and reporting. As a result, decision-making becomes faster, more data-driven, and highly effective. Review collected by and hosted on G2.com.

Adjust can have attribution discrepancies compared to ad networks like Google Ads, which may cause confusion when evaluating performance. It also requires proper setup and event mapping, otherwise data accuracy and campaign optimization can be affected. Review collected by and hosted on G2.com.

Since using Adjust, I've gained a clear understanding of where my users are coming from, allowing me to deeply optimize for that user group. I've also gained a clear understanding of the ROI and ROAS of each campaign and market, identifying which user groups are truly high-quality for the project and guiding the project's scaling strategy effectively. Review collected by and hosted on G2.com.

In my opinion, data is sometimes delayed: revenue, especially IAA, is often slow, making it difficult to optimize actual ROAS and take timely action. This makes it difficult for us to determine today whether a campaign is actually losing money and how to handle it. Review collected by and hosted on G2.com.

What I like best about Adjust is the support team and how helpful the platform is for running UA on puzzle games. In puzzle games, user quality is very important because install volume alone does not mean much if retention is weak or LTV does not grow well. What I need is a tool that helps me understand which channels are bringing users that actually stay, play, and monetize over time.

Adjust is useful because it gives a clear attribution view, but what stands out more to me is the support. Whenever we had questions during setup, tracking checks, or partner-related issues, the team was responsive and practical. They did not just reply in a generic way, but usually understood the context of mobile game marketing, especially when we needed to evaluate campaign quality, retention trends, or revenue performance after install. That made the whole workflow smoother.

For puzzle games, small differences in retention can change the whole result of a campaign. A source may bring many installs, but if Day 1 or Day 7 retention is low, then the traffic is not really valuable. Adjust helps me see that more clearly, and the support team helps a lot whenever something needs to be checked or clarified quickly. Review collected by and hosted on G2.com.

One thing I dislike is that some parts of the platform can feel less flexible when I want to analyze performance from a more game-specific angle. For example, in puzzle game UA, I often want to think in terms of user behavior quality, not only attribution outputs. I care about how users retain, how quickly they drop, whether they are reaching core gameplay moments, and how revenue develops by cohort. Adjust is good at giving me the attribution layer, but when I want to dig deeper into those behavior patterns, I usually still need to export data or combine it with internal analytics and BI tools.

Another point is that when multiple teams are involved, such as UA, product, monetization, and BI, the workflow can still require extra manual alignment. Adjust helps a lot with attribution, but it does not remove the need to reconcile definitions and views across teams. For example, UA may look at campaign-level quality, while product may focus more on progression or retention quality, and monetization may focus on ad/IAP value. So while Adjust gives an important foundation, some of the heavier analytical work still sits outside the platform.

This is not really a major negative, but more of a limitation I notice in daily use. The tool is strong for its main purpose, but teams that want deeper custom analysis will likely still depend on their own data pipeline and reporting layer. Review collected by and hosted on G2.com.

Datascape plays a key role in our performance strategy by giving us a consolidated view of cross-channel data in one place. The dashboard supports faster decision-making and clearer performance evaluation. In addition, the Adjust team has been a reliable partner, providing timely and thoughtful support that helps us address challenges and maintain campaign performance. Review collected by and hosted on G2.com.

Data variance remains an area we believe can be further improved. Although the difference is still within an acceptable range and aligned with industry standards, narrowing the gap would strengthen data reliability and support more confident decision-making and optimization. Review collected by and hosted on G2.com.

What I like most about Adjust is its highly accurate data, which I can trust for marketing decisions. The dashboard is easy to use and makes tracking user journeys simple. Plus, the built-in fraud prevention gives me peace of mind by protecting my ad spend and keeping data clean. Review collected by and hosted on G2.com.

Adjust is powerful, but not the easiest to get into—there’s a lot going on, so beginners might feel overwhelmed, especially when setting up events or deep links. Also, it’s pretty pricey, so it may not be the best fit for smaller teams or startups. Review collected by and hosted on G2.com.

Adjust provides reliable attribution and solid data consistency, which is critical when running multi-channel campaigns. I especially value its fraud prevention. In one case, we identified low-quality traffic from a network and improved retention by ~20% after blocking it.

The event tracking and audience segmentation are also strong, allowing us to optimize beyond installs and run more effective retargeting campaigns. Review collected by and hosted on G2.com.

The UI is not very intuitive, and there’s a noticeable learning curve, especially for non-technical teams.

SKAdNetwork reporting on iOS can feel fragmented and hard to interpret, and some reports have data delays, which can slow down decision-making.

It also becomes quite expensive at scale, especially with add-ons. Review collected by and hosted on G2.com.