Ad Fraud Intelligence from the Front Lines

Look for these warning signs: unusually high click-through rates paired with low conversion rates, traffic spikes from unexpected geographies, abnormally short session durations (under 2 seconds), and rising cost-per-acquisition without corresponding revenue. A fraud detection tool like Opticks can confirm whether these patterns are caused by bots, click farms, or other invalid traffic — and prevent them automatically.

Industry estimates range from 10% to 20% of all paid clicks. The exact rate depends on your channels, verticals, and geographies. Some Opticks clients have found invalid traffic rates as high as 39% on specific channels. The only way to know your actual exposure is to measure it — which is why every Opticks plan includes a 7-day free trial with full visibility.

Yes. Both Google Ads and Meta Ads have processes for invalid click refunds, but you need evidence. Opticks generates refund-ready reports formatted for each network, documenting fraud type, affected campaigns, timestamps, and estimated spend impact. Clients use these to reclaim budget they've already lost to bots, click farms, and other invalid traffic.

Declining ROAS with increasing spend is a classic symptom of invalid traffic. As you scale campaigns, you reach broader audiences — which also means more exposure to bot traffic, click farms, and low-quality sources. Every fraudulent click costs money but generates zero revenue, dragging your ROAS down. Filtering out invalid traffic with Opticks restores the signal in your data so you can scale profitably.

Yes — that's exactly what Opticks does. One platform covers Google Ads, Meta Ads, Microsoft Ads, programmatic, affiliate networks, and mobile channels. You get a unified view of traffic quality across every source, broken down by channel, UTM, device, and geography. Setup takes under 5 minutes with a lightweight JavaScript tag — no developer needed.

Ad fraud pollutes every metric you rely on — CTR, conversion rate, bounce rate, session duration, and audience demographics. This "dirty data" leads to bad decisions: doubling down on channels that look good but are full of bots, killing campaigns that are actually performing well, and misallocating budget based on inflated numbers. Removing invalid traffic gives you clean data for smarter marketing decisions.