These insights support the structural work described on the oktraffic.online homepage →

The campaign runs, the budget is spent, the clicks arrive. The forms get filled. And then sales says the same sentence again: these are not our leads. This is one of the most common patterns I see in B2B paid acquisition. It rarely points to a problem with bids, budgets or campaign settings. It points to something earlier in the chain, how Google currently interprets the business behind the ads, and which audience that interpretation pulls in.

This decision case explains why, in international engineering B2B, Google Ads should not be optimised before defining the correct conversion signals. It shows how email copy and email clicks became primary intent signals, and why restructuring measurement logic came before any scaling decisions.

Before launching Google Ads, I always run a series of tests and a visibility review. Not to delay advertising, but to understand what advertising will actually amplify. Across very different projects and industries, I consistently observe the same issue: a clear mismatch between the client a business wants and the signals its website sends, already visible on the homepage.

Many B2B companies come to Google Ads with the same expectation: launch campaigns, get leads, grow revenue. When this does not happen, the conclusion is often simple: “Google Ads doesn’t work for B2B.” In reality, the issue is rarely the platform itself. Most problems start much earlier, with how a lead is defined.

A B2B lead can cost hundreds or even thousands of euros, buying cycles are long, and several people take part in the decision. Because of this, many companies struggle with the same problems. Campaigns are built too quickly, keywords do not match real customer intent, tracking is incomplete, and platform reports feel confusing.

A clear structure is one of the main factors that influence the stability of a campaign. Organize campaigns and ad groups by topics, products or services. This makes performance easier to evaluate and improves the relevance of the ads shown to users.