Google Ads Management Built Around profit, not clicks.

When we audit a new account, the same five problems appear again and again. Conversion tracking counts the wrong actions, so the algorithm optimises towards noise. Campaign structure mixes unrelated intent into a single budget, so the machine cannot learn. Negative keyword lists are thin, so a meaningful share of spend goes to searches that will never convert. Performance Max runs unconstrained with no brand exclusions or asset group discipline. And landing pages are generic homepages rather than pages built to answer the search.

None of these are exotic problems. They persist because accounts get set up once and then only touched for budget changes. Our management model treats the account as a system that needs auditing, restructuring and continuous testing, and we start by fixing the measurement layer, because every other decision depends on it.

Smart bidding is only as good as the signal you feed it. If a form view, a phone click and a qualified sales-ready enquiry all count as one conversion worth the same amount, Google will happily buy you the cheapest of the three.

We rebuild the measurement layer before we touch bids. That means auditing GA4 and Google Ads conversion actions, deduplicating overlapping events, implementing server-side tracking where the browser is unreliable, assigning realistic values to each conversion type, and, for lead generation businesses, importing qualified and closed-won outcomes from your CRM so the algorithm learns what a good lead looks like.

The effect is immediate and compounding. Once the account optimises towards revenue instead of raw conversions, the same budget produces a different quality of customer.

We structure accounts around intent and margin. High-intent commercial searches get their own campaigns and budgets so they are never starved by broader research terms. Brand traffic is separated and measured honestly. Products or services with different margins are not forced to share a return target.

Match types are used deliberately. Broad match can be powerful when paired with strong conversion signals and a disciplined negative list, and destructive without them. We test rather than dogmatise, and every search terms report feeds back into the structure.

Bid strategies are chosen for the data volume available. Accounts with low conversion counts need different handling from accounts running hundreds of conversions a week, and moving too quickly to a fully automated strategy is one of the most common ways to stall an account.

Performance Max can be the strongest campaign type in an eCommerce account or a black box that quietly harvests your brand traffic and reports it as new demand. The difference is control: brand exclusions, well-segmented asset groups, deliberate audience signals, feed-only tests where appropriate, and constant review of the placement and search category reports.

For retailers, the product feed is the campaign. Titles, product types, GTINs, images, availability and custom labels determine which searches you show for and how profitably. We optimise feeds directly for Shopify and WooCommerce stores and use custom labels to bid by margin, season and inventory depth.

YouTube and Demand Gen extend reach once search demand is captured, and they work best when the creative is built for the platform rather than repurposed from a display banner.

Doubling your landing page conversion rate has the same effect on cost per acquisition as halving your click cost, and it is usually easier. Yet most accounts send every campaign to the same homepage.

We build and test campaign-specific landing pages that match the search, load fast on mobile, lead with the outcome the visitor wants, and remove every distraction between arriving and enquiring. Forms are shortened, phone numbers are click-to-call and tracked, and social proof sits where the decision is actually made.