Scaling multi-region ad campaigns: Infrastructure vs. Fraud
Advertising is a gold mine for criminals, as a lot of money is involved in the niche, and there are many entry points to commit fraud.
$172 billion by 2028 is the estimated loss from ad fraud. When companies scale ad campaigns to new markets, growth and profit are usually in the spotlight. However, expansion doesn’t only mean more customers and revenue digits, but more fraud possibilities as well. More IP endpoints, traffic channels, exchanges, and parties involved - and each point means room for a crime. On top of that, when a fraud is finally spotted, businesses usually blame and try to fix marketing, not infrastructural vulnerabilities. And con artists use that oblivion.
Challenges of cross-regional campaigns
Running an ad campaign even within one country means dealing with ad platforms, attribution systems, analytics tools, and constant monitoring of the market. When expanding it to the new region, on top of those tasks and cultural differences, more challenges pile up:
- Regional compliance laws and regulations, both state-level and platform-level
- Local ad exchanges specifics
- Different traffic quality standards to meet
- Various hosting and ISP ecosystems to operate within
When a company runs ad campaigns across numerous markets simultaneously, it’s hard to monitor all the ads equally. Besides, businesses often concentrate on metrics and do not pay enough attention to things that are not directly related to advertising, such as checking traffic origin or comparing data properly, while those signals may indicate ongoing fraud. Such circumstances mean that it’s hard to notice fraudulent activity fast - usually, companies only catch up after the money is lost. As a result, a campaign that performs well in North America may be quietly bleeding budget in Asia. Fraudsters exploit blind spots - and only an integrated infrastructure is a way to prevent it.
Entry points for multi-region ad fraud
- Geo-masking and IP spoofing
Traffic from different regions isn’t equally valuable, and it doesn't cost the same price. Fraudsters use VPNs and botnets to appear as users from the target regions and inflate clicks and impressions in high-value markets.
- Traffic arbitrage
Similar to the previous problem, yet this one is bigger, as there are whole companies involved in traffic arbitrage - they buy cheap traffic and route it via other regions, making it look like premium, expensive traffic.
- Click injection
Con artists implement tools like headless browsers and automation frameworks to simulate real user behaviour - scrolling, clicking, and link visiting. Businesses pay for those activities and receive no customers.
- Fake app downloads
This type of fraud is prevalent in mobile-heavy regions. Scammers make it look like users install an official app. Those fake numbers of downloads drain the budget and distort performance metrics across numerous countries.
Infrastructure-level moves to prevent fraud exposure
Usually, to prevent exposure or stop an ongoing fraud, businesses rely on campaign-level adjustments. It may buy some time and reduce the attack surface, but it doesn’t eliminate the root cause and doesn’t bring the necessary results. Infrastructure-level changes grant protection not only in the moment, but in the long run.
- Implementing a regional deployment strategy
When landing pages and tracking systems are hosted far from end users, it increases latency, makes it harder to spot abnormal traffic patterns, and lowers monitoring accuracy. Hosting servers locally helps eliminate latency and makes traffic manipulation obvious.
- Controlling IP reputation and fingerprinting
Conversion metrics are good, but they are useless in terms of evaluating traffic quality. IP scoring systems and behavioural fingerprinting use historical data and known risk signals to figure out whether a visitor is a real one or most likely a bot, whether a particular address or fingerprint is associated with unauthorized activities like spam spreading or aggressive scraping. Combining those criteria shows the reality of an ad campaign, allowing companies to judge traffic quality, not only volume.
- Leveraging geo-validation systems
There are tools that compare signals, such as traffic patterns and latency metrics, with IP addresses. For each country, specific behavior and latency are expected, and if the IP address and those signals don’t match, it’s a clear indication that IP spoofing or traffic arbitrage may be going on. The method is practice-proven - there were even cases when companies managed to catch spies from other countries.
- Relying on a unified monitoring approach
Instead of checking campaigns across each region separately, opting for tools that allow centralized analytic monitoring is more favorable. Such a style means businesses can see even minor changes as soon as they occur - be it sudden spikes in traffic or conversion drops. This helps identify possible fraud early and save ad budget.
Proxies to secure ad campaign scaling
Proxies are often seen as a tool to validate creatives and ensure they fit local trends and cultural specifics. However, they are useful in terms of fraud mitigation as well, and help validate that:
- Redirects function as intended and don’t lead to fake apps or phishing pages
- Ads aren’t placed on high-traffic sources with no target audience
- Creatives are visible to visitors - no 1×1 pixel size or popunders
Proxies also save time as they allow teams to distribute load across numerous connection threads and run multiple checks simultaneously. They can serve as regional endpoints and help with edge optimization. For ad campaign needs, residential and mobile IPs, and of course, ethically obtained, are necessary.
There is a belief that legally-derived proxies bleed budget nearly as much as fraud. Yet, if opting for a provider that relies on a pay-as-you-go pricing model and offers non-expiring traffic, this tool becomes way more affordable. Custom enterprise plans with special prices also help reduce costs. DataImpulse is an option to try, and ad verification and campaign scaling are one of their prime use cases.
Author: Yevheniia Revenko, content manager at DataImpulse