# Which native advertising tools have a dashboard with solid fraud detection so you are not wasting budget on invalid clicks without knowing it?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Hi G2. I'm pulling together a roundup on native advertising tools that give you real fraud detection at the dashboard level, so you're not quietly burning budget on invalid clicks. From the G2 reviews I went through in the<a class="a a--md" elv="true" href="https://www.g2.com/categories/native-advertising"> </a><a class="a a--md" elv="true" href="https://www.g2.com/categories/native-advertising">native advertising</a> category, The Trade Desk, Basis and StackAdapt come up most for brand safety and traffic quality. One honest caveat: reviews that name fraud and invalid traffic directly are a smaller set, so treat this as a starting point rather than a scorecard. The fuller list:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/the-trade-desk/reviews"><strong>The Trade Desk</strong></a>: reviewers credit its AI-driven Kokai platform for cleaner performance visibility and quality control across partners.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/basis/reviews"><strong>Basis</strong></a>: users specifically praise how well it eliminates fraud alongside its everyday usability.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/stackadapt/reviews"><strong>StackAdapt</strong></a>: called out for targeting precision and quality traffic, with account teams that help keep buys clean.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/viant-technology-llc-viant-technology/reviews"><strong>Viant Technology</strong></a>: reviewers mention people-based data and brand-safe environments across devices.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/simpli-fi/reviews"><strong>Simpli.fi</strong></a>: noted for targeting filters that cut media waste by tightening to the right audience and geography.</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 people managing programmatic native day to day, which of these actually surfaces invalid traffic inside the dashboard, versus after the fact in a monthly report? And has fraud filtering ever cost you real reach?</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: 1


## Comments
### Comment 1

&lt;p&gt;The key question is whether fraud detection surfaces inside the dashboard or shows up after the fact in a monthly report. The Trade Desk and StackAdapt reviewers describe real-time visibility, while some platforms surface it as a separate export step, which means budget has already burned.&lt;/p&gt;

##### Comment Metadata
- Posted at: 6 days ago
- Author title: Marketing Executive



### Comment 2

&lt;p&gt;&lt;span style=&quot;background-color: transparent; color: rgb(0, 0, 0);&quot;&gt;StackAdapt&#39;s account team has been useful for us specifically for catching traffic quality issues early. Having someone actively involved in keeping the buys clean caught things before they showed up as a surprise in a monthly report.&lt;/span&gt;&lt;/p&gt;

##### Comment Metadata
- Posted at: 6 days ago
- Author title: SEO Content Writer



### Comment 3

&lt;p&gt;Basis would be the one I’d look at first since reviewers specifically praise its ability to eliminate fraud. I’d accept some loss in reach from fraud filtering if the traffic being removed was unlikely to deliver real value anyway. Clean reach matters more to me than the biggest possible reach number.&lt;/p&gt;

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



### Comment 4

&lt;p&gt;For invalid traffic, dashboard-level flags vary widely, and most surface it after spending rather than before. The stronger setup pairs your platform with a pre-bid verification layer. The trade is that tighter filtering trims reach, so watch the invalid rate and delivered reach together.&lt;/p&gt;

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





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