Google Ads Built
for Revenue.

The most common Google Ads failure mode I see in new accounts is structural: campaigns built around broad match keywords with no negative lists, ad groups containing ten unrelated keywords, and smart bidding enabled before the account has enough conversion data. The algorithm cannot optimise without signal, and poor structure produces poor signal. Conversion data accumulates slowly under those conditions, and the account spends months in what looks like a learning phase but is really a self-inflicted data quality problem.

My first act on any new account is an architectural audit. I review the full campaign and ad group structure, keyword match types, search-term reports to identify wasted spend and negative keyword opportunities, Quality Scores, and landing page relevance. For most accounts, this audit identifies 20-40% of spend going to irrelevant traffic or low-quality keyword expansions. That money does not need new bids. It needs to stop being spent.

For ecommerce, I treat Google Shopping and Performance Max as the primary revenue drivers and Search as a supplementary brand and competitor capture mechanism. Feed quality is the biggest lever most ecommerce brands ignore. Optimising product titles and custom labels in Merchant Center can improve ROAS by 30-50% without changing a single bid. Performance Max needs audience signals and strong creative assets to perform; running it as a black box produces black-box results.

Bid strategy is where most accounts get stuck. Manual CPC is fine for low-conversion accounts but caps performance as data accumulates. Target CPA needs 30+ conversions per month to work, Target ROAS needs clear revenue per conversion, and Maximize Conversions needs enough budget for the algorithm to actually explore. Choosing the wrong bid strategy for the account's data level burns budget for weeks. Choosing the right one removes the slow learning period most managers accept as inevitable.

I use Google Ads data to inform SEO strategy and vice versa. The keywords that convert best in paid search deserve SEO investment. The organic rankings that generate strong branded search volume reduce the cost of brand defence in Google Ads. I run both, and the data from each channel feeds the other. Attribution is configured from day one: data-driven attribution distributes credit across the full click path when conversion volume allows, not the inflated last-click number that makes PPC look better than it is.

My Google Ads management is designed for ecommerce and lead generation businesses spending $5,000–$100,000/mo on Google Ads. Below $5,000/mo, the management-to-spend ratio makes professional management harder to justify, unless there is a clear scaling plan in motion.

I work best with accounts that have conversion tracking in place or are willing to set it up in month one, a landing page or product page that converts at a reasonable rate, and a product or service with real search demand in the US or UK market. If your category has no Google search demand, Ads and SEO will struggle equally, and I will tell you that upfront rather than take your money.

Google Ads is a poor fit for hyper-niche B2B products with very small addressable audiences. For those, LinkedIn or programmatic display typically give better ROI. It works very well for ecommerce with clear product-market fit and lead generation with specific geographic or demographic targeting needs.