# Which identity resolution platform has the best match rates for an adtech or programmatic team that needs accurate audience identity across campaigns?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">I'm researching which identity resolution platform has the best match rates for an adtech or programmatic team that needs accurate audience identity across campaigns, and would value input from people who actually run onboarding and activation. The hard part with a generic answer is that "good match rate" depends on your data and your destinations, so I wanted to see what programmatic reviewers say in practice. From 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, here are five that come up for match quality and audience reach:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/liveramp/reviews"><strong>LiveRamp</strong></a>: Reviewers repeatedly mention onboarding CRM lists in a privacy-safe way and connecting into DSPs and partners for targeting. For programmatic teams, how did its match rate hold up against your first-party file size?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/fullcontact/reviews"><strong>FullContact</strong></a>: Called out for API scale and identity resolution results, plus a pricing model reviewers like. Did the match depth cover the audiences you cared about, or were there gaps for niche segments?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/omna-from-stirista/reviews"><strong>OMNA from Stirista</strong></a>: Adtech reviewers specifically praise accuracy and identifying individuals at a strong match rate. Has anyone compared its match rate head to head with a bigger provider?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/epsilon-coreid/reviews"><strong>Epsilon COREid</strong></a>: Marketing reviewers mention it for validating and extending audience reach. How did identity accuracy look once campaigns were live?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/zeotap-cdp/reviews"><strong>Zeotap CDP</strong></a>: Highlighted for bridging offline and online data and syncing audiences to major DSPs. Did the offline-to-online match stay accurate at campaign scale?</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 the programmatic folks: which of these gave you the match rate you could actually plan media against, and how are you measuring "accurate" beyond the vendor's own reported number?</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: 3 months ago
- Net upvotes: 2


## Comments
### Comment 1

&lt;p&gt;&lt;span style=&quot;color: rgb(0, 0, 0);&quot;&gt;For a team leaning heavily on offline data, Zeotap&#39;s bridge into a syncable audience for the major DSPs is the harder half of identity resolution in my experience. That part gets glossed over in favor of pure match-rate numbers.&lt;/span&gt;&lt;/p&gt;

##### Comment Metadata
- Posted at: 7 days ago
- Author title: Marketing



### Comment 2

&lt;p&gt;&lt;span style=&quot;color: rgb(0, 0, 0);&quot;&gt;LiveRamp is the name most associated with strong match rates for adtech and programmatic identity resolution, it&#39;s one of the most established players specifically in that space.&lt;/span&gt;&lt;/p&gt;

##### Comment Metadata
- Posted at: 7 days ago



### Comment 3

&lt;p&gt;On measuring &quot;accurate&quot; beyond the vendor number: a match rate is a recall figure, and the thing you actually care about is precision, which nobody reports. A wrong match still serves an impression, still counts as a reach point, and still shows up in the report looking identical to a right one, so there&#39;s no natural feedback signal telling you it happened. The only practical check I know of is seeding your file with records you&#39;re confident shouldn&#39;t resolve to anyone, then seeing how many come back matched. The OMNA reviewers calling out accuracy specifically is interesting for that reason, since accuracy and match rate are genuinely two different claims.&lt;/p&gt;

##### Comment Metadata
- Posted at: 8 days ago
- Author title: Tech Consultant



### Comment 4

&lt;p&gt;For programmatic, it helps to separate match rate from usable reach. Across reviews LiveRamp is the default for pushing addressable audiences into the DSPs and it holds up, though onboarding and list processing run longer than teams plan for. Build in that lead time, and check how much reach survives accurate-match filtering.&lt;/p&gt;

##### Comment Metadata
- Posted at: 2 months ago
- Author title: Marketer





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