Adjust by AppLovin vs. Fullstory

It is very well-suited for big apps that have lots of users. They scale very well and are a little bit less expensive than other alternatives. They have API connections that are suitable for internal attributions and data. I recommend other solutions in some cases, such as cohorts and UI/Agency access.

Incentivized

It was extremely useful in identifying places in our product where things weren't functioning, or where it looked like action was available to the end user but in reality, it was not and therefore caused lots of confusion. It doesn't help as much in other scenarios to see what catches a user's Eye or where they go if they leave our application as well as an actual in-person interview would help with eye-tracking software.

Incentivized

• Tracking installs on mobile app campaigns on Android or iOS, as well as UAC campaigns.
• Tracking in-app actions on our mobile campaigns.
• Showing more accurate numbers, since it counts pure installs from new users only without counting re-installs,
• Counts installs only after first opening of the app, while Google and Apple count also downloads even if the app doesn't get installed or opened after.

Incentivized

• Tracks users' online experiences from start to finish.
• Makes it easy to share a customer's experiences with the rest of my team.
• Allows me to use different methods to find evidence of a customer's experience.
• Shows page insights via segmentation that help me know where to improve my site.
• Tracks error clicks and dead clicks for quick insights into site improvements.
• Integrates with HelpScout for easy access to customer problem-solving.

Incentivized

• UI is very confusing and needs a refresh.
• Reports are very limited and need more granularity.
• Onboarding program for agencies lacks concrete information.

Incentivized

• Can be a little confusing to know the exact time something happened, in local time or customer time? That's helpful for engineering to look into log files.
• When looking for a specific session, it would be nice if you have a easier list of sessions with a little more info to choose from
• It would be nice to be able to save flagged sessions and annotations under my profile to reference later

Incentivized

We are happy to use Adjust by AppLovin in our measurements and effects on the business, so the company would like to renew our use.

Incentivized

The metrics are hard to understand at times and inaccurate to the point of being unusable. I stopped pulling them and solely rely on Adobe Analytics for them. So far, I've only used FS to watch sessions and determine behaviors

Incentivized

Because everything seems to be easy to find and it doesn't take long at all to learn how to use the product

Incentivized

We've never had issues with availability

Incentivized

It seems the performance is really good and always loads quickly

Incentivized

Adjust Attribution is great on Amplitude if tagged/integrated right.

Incentivized

Yes, that is correct. FullStory has a dedicated support team that is available to assist with any issues or questions. The team is known for being responsive, knowledgeable, and helpful, and they are committed to ensuring that users get the most out of the FullStory platform. They helped us a lot to implement it with our web app

Incentivized

I was not involved in the initial implementation, but I have found it easy to pick up and use without any guidance, so it's very user-friendly, intuitive, and not difficult to get a sense of use, though it may be more difficult to master (I am not a Fullstory master... yet!).

Incentivized

Each MMP has its own set of advantages and disadvantages. What I like about Adjust is that it blocks the postbacks for invalid traffic without triggering an install which helps reduce fraud, as the fraudulent party does not get paid. Other systems count the install and then you need to go into the logs to subtract it but Adjust does it automatically. However, Adjust is by far the MMP with the worst UI and UX.

Incentivized

Fullstory is really the best at session recording. They are adding new and more features to become more competitive with other web analytics tools (like Pendo, Heap, and GA). But we ultimately keep them because they make it so easy to actually see how people interact with your site. It is one thing to see a report that says customers fall off a page, it is another thing to actually be able to watch what they do as they fall off.

Incentivized

Full story was easy to scale with the growth of our teams and organisation

Incentivized

• As a positive impact it helped us create dashboards for every aspect of the business.
• It made us more data-oriented with the possibility to study retention and activation of specific cohorts.

Incentivized

• We reduced our payment error rate by 20% using FullStory.
• Our product design team is able to get initial designs approved 95% of the time using FullStory data in order to explain to our stakeholders the reasoning behind decisions. We also do a before-and-after analysis, and we either net out the same with the new designs (just improved visuals) or improve the metric of whatever was designed. More often than not, we improve the metric.
• We decreased the time to A/B testing insights by 50%.
• We can usually visualize a production issue via FullStory within 10 minutes.

Incentivized