DataCops vs Lunio
Lunio is enterprise click-fraud protection with an enterprise price floor. DataCops covers the same surfaces without the spend minimum.
Lunio does not publish pricing, and the widely-reported minimum ad spend requirement is around 500,000 pounds a year. Below that floor you are not their customer. More structurally, Lunio protects your ad networks as a silo, disconnected from the analytics and conversion API events that feed your attribution. DataCops sits inside your first-party data pipeline, filtering fraud at ingestion and forwarding clean events to Meta, Google, TikTok, and LinkedIn.
Start FreeBlocking bots is table stakes. What happens after is what matters.
DataCops detects, blocks, and feeds clean signals back to your ad platforms - in one layer, not three separate tools.
One platform that captures, verifies, and activates - instead of patching three tools together.
Lunio's spend floor and silo architecture exclude mid-market buyers and disconnect fraud from data.
Lunio gates pricing and sets a reported minimum ad spend of roughly 500,000 pounds annually. Below that floor, you are structurally not their buyer. Even at enterprise spend, Lunio's fraud signal lives outside your data layer. A bad click caught by Lunio still generated an analytics event and a CAPI conversion that your attribution model already counted.
What the gap actually looks like
The widely-reported minimum ad spend requirement for Lunio is roughly 500,000 pounds a year. That is not a soft suggestion from a sales rep; it is a structural floor that most comparison pages bury in a footnote. Mid-market advertisers spending $50,000 or $100,000 a month are not Lunio's target buyer, and the pricing reflects it.
Lunio protects your ad networks, but its fraud signal does not flow into your analytics stack or your server-side CAPI events. A click Lunio flags as invalid has already been recorded as a session, possibly as a conversion, and has already contributed to the audience signals Meta and Google use to find more traffic like it.
Because Lunio is custom-quoted with no public pricing, evaluation requires a sales cycle before you know the real number. Teams that go through that cycle and then find the spend floor disqualifies them have lost procurement time with nothing to show for it.
How DataCops fixes Lunio's gap
DataCops collects first-party events on your own subdomain and runs them against a 361.8 billion IP database at ingestion. Fraud is filtered before any event reaches your analytics, your CAPI payload, or your attribution model. There is no spend floor, no custom-quote cycle, and no gated pricing page.
The fraud signal is native to the data pipeline. A flagged event is never forwarded to Meta, Google, TikTok, or LinkedIn, so your conversion APIs receive only clean, human-generated signals. Your ad campaigns train on real buyers, not bots, which compounds into more efficient spend over time.
DataCops is a newer brand than Lunio, and SOC 2 Type II certification is in progress. The shared CAPI relay is still in verification. At true enterprise scale with a large, dedicated paid-media team and the budget to match, Lunio is a credible platform. For everyone below that spend floor who wants fraud signal wired into their data layer, DataCops is the better-shaped tool.
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FAQ
Most fraud tools rely on IP blacklists and basic heuristics - effective against older bots, weak against modern ones that rotate IPs and mimic human behavior. DataCops uses device fingerprinting, interaction patterns (mouse, scroll, keystroke timing), and network signals (proxy, VPN, datacenter) scored in under 50 ms, then blocks or flags before conversion tracking fires.