# What are the best mobile app analytics platforms for UA marketing managers tracking user acquisition and conversion performance?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">A user acquisition manager needs to know which channel actually drove a paying user, not just an install, which is where a lot of mobile analytics tools quietly fall short. Reviewers in the <a class="a a--md" elv="true" href="https://www.g2.com/categories/mobile-app-analytics">Mobile App Analytics category</a> describe a few platforms built specifically around that attribution problem.</p><ol>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/clevertap/reviews"><strong>CleverTap</strong></a>: Reviewers cite strong cohort analysis tying acquisition source to long-term retention and revenue, not just install counts. Does that cohort data remain accurate once a user switches between multiple devices?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/tenjin/reviews"><strong>Tenjin</strong></a>: Built specifically around UA attribution, reviewers cite it as purpose-built for marketing managers rather than a general product analytics tool adapted to the job.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/mixpanel/reviews"><strong>Mixpanel</strong></a>: Reviewers cite deep funnel analysis from acquisition through conversion, though several mention it takes real setup work to configure UA-specific reporting.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/adobe-analytics/reviews"><strong>Adobe Analytics</strong></a>: Reviewers in larger marketing teams cite comprehensive attribution modeling, at the cost of a steeper learning curve than the more UA-focused tools here. Is that learning curve worth it for teams that only need UA reporting, or does it pay off mainly for broader marketing analytics use cases?</li>
</ol><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For teams running acquisition campaigns across multiple ad networks simultaneously, which of these actually correctly attributes a conversion when a user saw ads on more than one network before installing?</p>

##### Post Metadata
- Posted at: 5 days ago
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;The key issue is whether the platform measures incrementality and multi-touch influence, not just assigns the install to the last eligible network. I’d compare cross-device identity resolution, SKAN handling, re-engagement attribution, and how transparently each tool explains conflicting claims from multiple ad networks.&lt;/p&gt;

##### Comment Metadata
- Posted at: 5 days ago
- Author title: Marketing Executive





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