[MelissaGardner58]

I’ve been working with Google Ads and running traffic to a stack built around React Native and ExpressJS. Most of the discussions I find about traffic filtering and cloaking seem to assume a PHP-based setup, which makes the usual recommendations difficult to apply.

I’m mainly looking for a solution that can handle the filtering server side through an API or Node/Express-friendly integration. I’d rather avoid relying on browser side JavaScript, especially when dealing with larger campaigns where performance and accurate traffic classification matter.

I’ve tested a few popular platforms, but the integration options for non-PHP environments have been surprisingly limited. I’m technically comfortable building the integration myself, but I’d prefer to use a service that already handles the IP databases, bot detection, and traffic analysis reliably.

For those running Google Ads with Node.js, Express, React, or similar stacks, what solutions have you actually used successfully? I’m particularly interested in real-world experience with reliability, integration flexibility, and traffic filtering accuracy.

 

[jmarshall953]

Node and Express actually give you plenty of options for server-side traffic analysis. I’d probably separate bot detection from any routing logic so you can review suspicious traffic without accidentally blocking legitimate users.

 

[MichaelAllen45]

For an Express setup, an API-based IP intelligence service should be fairly straightforward to integrate. I’d look for one with good proxy and bot detection rather than something built specifically around PHP.

 

[SaraJackson]

Express middleware seems like the obvious place to handle this. You can classify the request before it reaches the rest of your application.

 

[sjohnson403]

I agree about avoiding browser-side JavaScript for this. Server-side classification gives you much more control and also makes it easier to keep the detection logic consistent across different devices.

 

[jjimenez201]

One small change that helped me was separating “detect” from “act.” First collect and classify the traffic, then decide what action makes sense. It made debugging much easier and prevented accidental blocking.

 

[TerriCasey]

In my experience, the API approach works nicely with Node. I used a simple middleware layer to check IP information and then attach the result to the request. It kept the rest of the application clean.

 

[KarenWang25]

I remember testing a traffic filter that looked great on paper, but once real mobile traffic started coming in, the false positives became obvious. That taught me to test against real campaign traffic before trusting any provider.

 

[jtaylor]

I’d separate campaign analytics from security filtering. Your advertising platform should remain focused on measuring conversions, while the server-side system can provide additional information about suspicious or automated traffic.

 

[Carolineadams]

I’d start by testing an IP reputation API with your existing traffic. You may find that you don't need a full traffic-management platform if the main requirement is identifying suspicious requests.