Adjust by AppLovin vs. Twilio Segment

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

Best suited: - Merging emails coming from: Facebook leads forms, Unbounce or landing pages forms, Google forms, any other kind of lead generation tool and bundling all that information together for a single user "profile". - Passing events generated in multiple applications by the same user (product selected in web, product discarded in cart, etc) and delivering those events into other applications (like a CRM) Less appropriate: - Reading/updating data directly from segment from a frontend application

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

• Unmatched insight into the customer journey when they come into contact with our business.
• The ability for it to break down data in a way that allows us to analyse customer engagement.
• It efficiently integrates with my current softwares eg Shopify.

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

• Potentially, it could "warn" the developers/product about areas in our code that are not covered by events (and let us decide if it's "be design" or we missed it).
• It's difficult to get accumulated history data exported out in order to analyze it.
• There's no easy way to compare data from 2 sources (our main target is to compare the same events between our test environment and prod environment).

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

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

Incentivized

Over the period it took us to set up, we kept going back to their enablement team to help us with the setup, and they were always ready and were very helpful in the entire process. Even with their documentation, they took the time out to help us work through the process. We've never had a message/email unanswered for more than an hour on working days.

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

Segment is not really suitable for most websites that have more than 10k MTU - If you run a semi-popular website, there are many tools out there that will do basic web analytics, like Google Analytics. Google Analytics provides simple resources for tracking user growth, demographics, and conversion rates of websites, which is more suitable for companies that are looking for simpler analytics data.

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

• Event tracking lets you take ownership of your own data, which in part makes it easy to craft metrics and do deep dives to see how your product is working. This has a huge ROI, because without metrics you're basically flying blind.
• You can also use Segment's event tracking to fuel your experimentation and AB testing strategies. AB testing is the best way to ship features in a tech product with confidence that you're making a positive impact.

Incentivized