# 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: 28 days ago
- Net upvotes: 1


## Comments
### Comment 1

&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: 12 days ago
- Author title: Marketer





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