# What identity resolution software works best for a marketing team that needs a single unified customer view across web, mobile app and email without data getting fragmented?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">I'm pulling together a roundup on what identity resolution software works best for a marketing team that needs a single unified customer view across web, mobile app and email without data getting fragmented, and wanted practitioner input before I finalize it. The recurring pain point in reviews is that data sits in separate tools per channel, so the "customer" a marketer sees on web is not the one they see in email. Based on what marketing reviewers keep highlighting in the<a class="a a--md" elv="true" href="https://www.g2.com/categories/identity-resolution"> </a><a class="a a--md" elv="true" href="https://www.g2.com/categories/identity-resolution">identity resolution</a> category, the three that come up most for this are Tealium, Salesforce Data 360, and Treasure Data. Here's the fuller list:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/tealium-customer-data-hub/reviews"><strong>Tealium Customer Data Hub</strong></a>: Reviewers describe it pulling scattered data from apps, sites, and business systems into one profile and activating it across channels in real time. The visitor stitching gets called out a lot.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/salesforce-data-360-formerly-data-cloud/reviews"><strong>Salesforce Data 360</strong></a>: Marketers like that it unifies records into one profile and makes segments usable across the Salesforce tools they already run campaigns in.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/treasure-data-customer-data-platform/reviews"><strong>Treasure Data Customer Data Platform</strong></a>: Larger teams praise how much data volume it handles while building a single customer profile, with a marketer-friendly interface on top.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/amperity/reviews"><strong>Amperity</strong></a>: Reviewers point to its machine-learning matching for combining online, offline, transactional, and behavioral data into one resolved identity.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/meiro/reviews"><strong>Meiro</strong></a>: Smaller and mid-market teams mention it for connecting online and in-store data into a single consistent profile with real-time updates.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For marketers who have actually stood one of these up across web, app, and email: where did fragmentation still sneak back in? Was it the mobile app data, offline sources, or the identity match itself that gave you the most trouble?</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p>

##### Post Metadata
- Posted at: about 1 month ago
- Net upvotes: 2


## Comments
### Comment 1

&lt;p&gt;Comparing these, web and email identities tend to line up fine; the mobile app is what reintroduces fragmentation, since app SDKs often mint their own IDs that never tie back to the profile. Whatever platform you pick, map the app identity first. That is where the single view usually quietly breaks.&lt;/p&gt;

##### Comment Metadata
- Posted at: 18 days ago
- Author title: Marketer





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