We detected 182 customers using TrafficGuard, 31 companies that churned or ended their trial, and 7 customers with estimated renewals in the next 3 months. The most common industry is Retail (15%) and the most common company size is 51-200 employees (35%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We can only detect companies that installed the TrafficGuard script on their website and not companies using server-side log analysis or API-based integrations (rare)
About TrafficGuard
TrafficGuard detects and blocks digital ad fraud in real time using AI-powered analysis of impressions, clicks, conversions and events before invalid traffic impacts advertising budgets. The platform provides transparent reporting and uses statistical invalidation to surgically mitigate fraud while protecting valid traffic and enabling advertisers to optimize campaigns confidently.
🔧 What other technologies do TrafficGuard customers also use?
Source: Analysis of tech stacks from 182 companies that use TrafficGuard
Commonly Paired Technologies
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Shows how much more likely TrafficGuard customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed TrafficGuard users are predominantly e-commerce companies with substantial paid advertising budgets who take a data-driven approach to customer acquisition. The presence of tools like SearchSpring for site search optimization, Intelligems for pricing experiments, and Microsoft Clarity for session recording tells me these are performance-focused online retailers constantly testing and optimizing their conversion funnels. They're running significant paid traffic campaigns and need fraud protection to ensure their ad spend actually reaches real customers.
The pairing with Taboola is particularly revealing. Companies using this native advertising platform are clearly diversifying beyond standard Google and Facebook ads, which means they're sophisticated enough to know that ad fraud becomes a bigger concern on alternative traffic sources. The combination with PayPal suggests these are likely mid-market retailers processing meaningful transaction volumes who need both payment flexibility and fraud prevention across their entire funnel. Tolstoy, a video commerce platform, indicates these companies are investing in interactive shopping experiences, which makes sense because if you're going to the trouble of creating engaging video content, you definitely don't want bots inflating your engagement metrics or wasting your media spend.
The full picture reveals marketing-led organizations in a growth stage where efficiency matters more than pure scale. They've moved past the early stage "growth at all costs" mentality and are now focused on unit economics and ROI. Microsoft Clarity appearing so frequently suggests they're budget-conscious enough to use free analytics tools but sophisticated enough to layer multiple data sources together.
👥 What types of companies is most likely to use TrafficGuard?
Source: Analysis of Linkedin bios of 182 companies that use TrafficGuard
Company Characteristics
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Shows how much more likely TrafficGuard customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Country: AU
18.6x
Company Size: 51-200
4.8x
Company Size: 11-50
1.6x
I noticed TrafficGuard's customers span a remarkably diverse range of businesses, but they share a crucial commonality: they all depend heavily on digital customer acquisition. These aren't just tech companies. They include gambling and betting platforms, retail businesses selling everything from furniture to jewelry, real estate agencies, insurance providers, educational institutions, and performance marketing agencies. What unites them is that they're all spending significant money to drive traffic online, whether through paid ads, performance marketing, or digital storefronts.
The company size and maturity varies considerably. I saw early-stage startups like Zivian Health with seed funding and 49 employees alongside mature enterprises like M1 Limited with over 1,500 employees. However, the majority fall into a sweet spot: established businesses with 50 to 500 employees that have moved past the startup phase but are still growing. Many mention being "leaders" in their markets or having "decades of experience," suggesting they've reached a scale where ad fraud becomes a material concern worth addressing.
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