# What&#39;s the best sales intelligence platform for building highly targeted prospect lists with robust industry, role and company-size filters?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">I've been evaluating<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 specifically around this question: what's the best one for building highly targeted prospect lists with robust industry, role and company-size filters? Most tools handle one or two of those dimensions well but start to break down when you need all three to work precisely in the same search, so I wanted to see what G2 reviewers with real day-to-day experience actually say. Few names come up most consistently for filter depth: </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> Reviewers describe stacking multiple job titles, revenue ranges, and industry in a single search and pulling 500 contacts in under 15 minutes.</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> Users call the filter depth the standout feature, with one cutting list-building from half a day to 20 minutes by combining role and company-size filters together.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/cognism/reviews"><strong>Cognism</strong></a><strong>:</strong> Mid-market users rate it for European and international contact accuracy with direct CRM enrichment, though company-size filtering outside the UK is noticeably thinner.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/linkedin-sales-navigator/reviews"><strong>LinkedIn Sales Navigator</strong></a><strong>:</strong> Consistently cited for pinpointing exactly who holds a specific title at a named account right now, with persona filters described as the fastest role-level targeting in the category.</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> Comes up for speed of volume list-building, though users who've compared it alongside other tools recommend cross-checking before sending.</li>
</ol><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">When all three filters need to work precisely together rather than one at a time, which of these has held up in your outreach? Have you found accuracy noticeably stronger or weaker in certain industries or company-size ranges?</p>

##### Post Metadata
- Posted at: 3 months ago
- Author title: Marketing Executive
- Net upvotes: 1


## Comments
### Comment 1

Filtering on any single dimension usually works, but filtering on all three together is where you test whether the database actually has good data for that exact slice. A platform looks great when you search broadly. It gets real once you narrow down to something specific and half the results come back thin.

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



### Comment 2

&lt;p&gt;ZoomInfo and Apollo seem strongest when you need all three filters working together at scale. Accuracy can still vary by market, though, so I’d trust the list more after spot-checking a sample by industry and company size before launching outreach.&lt;/p&gt;

##### Comment Metadata
- Posted at: 19 days ago
- Author title: Marketer



### Comment 3

&lt;p&gt;I’d put data accuracy right beside filter depth here. A perfectly segmented list loses value quickly if titles or company attributes are stale. Has anyone run the same ICP through ZoomInfo, Apollo, Cognism, and LinkedIn Sales Navigator? I’d be curious which stayed most accurate once industry, seniority, company size, and geography were all stacked together.&lt;/p&gt;

##### Comment Metadata
- Posted at: 19 days ago
- Author title: Writer



### Comment 4

Worth separating one thing here: filtering on any single dimension usually works fine; the trouble only starts when you demand all three together. Ask for &quot;VPs of Ops at 50–200-person logistics firms&quot; and you&#39;re no longer testing whether the filters work, you&#39;re testing whether the tool actually holds good data for that exact slice. That&#39;s why a demo never catches it. The gap only shows once you&#39;ve narrowed far enough that half the results come back thin. Which makes the real question less &quot;whose filters are better&quot; and more &quot;whose data survives a narrow search.

##### Comment Metadata
- Posted at: 3 months ago
- Author title: Tech Consultant





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