# What&#39;s the best sales intelligence software for getting accurate, up-to-date decision-maker contact data for outbound prospecting?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">I'm reviewing<a class="a a--md" elv="true" href="https://www.g2.com/categories/sales-intelligence"> </a><a class="a a--md" elv="true" href="https://www.g2.com/categories/sales-intelligence">sales intelligence</a> platforms for a piece on this specifically: what's the best software for getting accurate, up-to-date decision-maker contact data for outbound prospecting? It sounds like a basic requirement, but contact accuracy is the area where platforms diverge most clearly from their own claims, especially for contacts who've recently changed roles or sit in smaller accounts that aren't refreshed as often. Here's what G2 reviewers across the category flag most consistently:</p><ol>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/gtm-workspace-powered-by-zoominfo/reviews"><strong>GTM Workspace by ZoomInfo</strong></a><strong>:</strong> Direct dials and verified emails that reach decision-makers without manual cross-referencing are the most praised feature, though smaller account data and recently changed roles go stale faster than enterprise records.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/cognism/reviews"><strong>Cognism</strong></a><strong>:</strong> The Diamond Data feature using human-verified mobile numbers is the most cited differentiator for teams where actual connect rates matter more than database size.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/apollo-io/reviews"><strong>Apollo.io</strong></a><strong>:</strong> Small business users describe the granular filtering for drilling to specific decision-maker roles as the standout, with verified emails reducing bounce rates before campaigns go out.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/wiza/reviews"><strong>Wiza</strong></a><strong>:</strong> Real-time email verification sourced directly from LinkedIn keeps the data accurate to where someone currently works, not where a database last recorded them.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/seamless-formally-seamless-ai/reviews"><strong>Seamless (Seamless.AI)</strong></a><strong>:</strong> Works well for volume prospecting, though users who've run it alongside other tools flag that cross-checking before sending is still recommended.</li>
</ol><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Which of these has held up best in your outreach, and have you found accuracy varies significantly by industry or region on the same platform?</p>

##### Post Metadata
- Posted at: 28 days ago
- Author title: Marketing Executive
- Net upvotes: 1


## Comments
### Comment 1

One distinction clears a lot of this up: &quot;accurate&quot; can mean two things — that a record was right when the tool captured it, or that it&#39;s still right today. A database can score genuinely well on the first and still burn you on anyone who changed jobs last quarter, which is exactly the recent-mover and small-account problem you flagged. It&#39;s also why a published accuracy percentage tells you less than it looks like. I&#39;d trust a real connect rate from someone&#39;s actual campaign over any number on a product page.

##### Comment Metadata
- Posted at: 23 days ago
- Author title: Tech Consultant





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