170 Adjust Testimonials

“All our client-facing teams here at Adjust are constantly focusing on our customers' pain points and finding ways to improve their experience with our products. One of the main focuses of our Customer Success Team is our new products, which ease and enhance the ways our clients use Adjust. We worked closely with the team of AXLEBOLT to make their day-to-day work with Ad Spend more effective and to optimize their profit-oriented strategy on a new level with SpendWorks.”

"Adjust’s support has been awesome. I hate to admit that we even had late night Skype calls to make sure everything we integrated was perfect. There was no room for failure on our end. They really went the extra mile to make everything run smoothly and get us to where we are today."

"Facebook is one of the most important communication channels for us, Adjust's deep integration made our work fast and easy. We were able to unlock and reach new targeting groups and increase our growth tremendously."

"The decision to migrate to Adjust was motivated by the need to optimize our tech stack. This meant finding a more effective MMP that could seamlessly integrate with other tools in our stack. We found Adjust’s interface easy to use but thorough in its functionalities. Now, our MMP dashboard is used not only by the marketing team but also by other business areas such as technology and product."

“The transition was remarkably smooth, and the level of support we received from the Adjust team met our needs perfectly. We appreciated Adjust’s meticulous planning, strategic execution, and commitment to success throughout our migration.”

“We have been amazed by what we can learn from Adjust’s raw data. By analyzing it, we’ve gained a deeper understanding of each touchpoint in the user journey, have discovered areas that could be better leveraged, and quickly spotted trends in users’ in-app behavior to acquire and engage more users.”

“Adjust is directly responsible for helping us optimize user acquisition campaigns and spending. The promptness of replies from the team is something that really stands out.”

"The accuracy of LTV prediction has been significantly improved since DeNA adopted the tracking function."

"After enriching our internal data with Adjust raw data, we found that the digital channels we thought to be the best-performing turned out to be one of the lowest-performing due to some overlapping with our offline acquisition effort. With Adjust, we were able to immediately optimize our acquisition plan to drive more incremental results."

"We were impressed with the number of metrics our team could track. We love that Adjust is actively developing every day and offering new features."

"We've been working with Adjust for the past three years across a number of different apps. It's helped us streamline our campaign management and the reporting dashboard lets us quickly spot trends in our data and ultimately make faster and more informed decisions."

“The team has been super responsive and has augmented learning for the digital marketing and product teams. There have been numerous phone calls and meetings to discuss how we might handle store-level attribution in raw reports. These raw reports aided in creating a custom dashboard which was plugged into some other elements of the business, resulting in richer insights. Without Adjust analytics, the acquisition & retention team would be shooting in the dark.”

"We can go big, and not hold back. I now see that this FPS is serving a different purpose beyond just preventing a ‘bad’ install: it’s my insurance policy when working with new partners. We can try new things, and I’m free to experiment because I trust the data."

"We can track interactions in our app in real-time to see how our users engage over their full lifetime. We can define our own events, drill down into each user segment, and export data."

"Datascape saves us a lot of time in weekly reporting, especially with the help of the time period comparison, different colors and shades for the different KPIs, and the useful granular filtering options. Scaling is much more efficient for us as we can understand our data in a straightforward way, which allows for faster decision-making."