Show up for the search that already has intent behind it.

Most underperforming Google Ads accounts share the same root problem: broad campaigns mixing high intent transactional searches with vague, early stage research queries, all competing for the same budget with the same generic ad. We rebuild structure around intent tiers, so a search for "buy" or "price" gets a different campaign, budget and ad than a search for "what is" or "how does".

This matters because it lets us bid aggressively where intent is highest and cheaply where it is not, rather than averaging the two into a mediocre result everywhere. It also makes reporting honest: you can see exactly what a bottom funnel click costs versus a top funnel one, instead of one blended number that hides both.

We build in negative keywords aggressively from day one based on your actual offer, not a generic list, since the fastest way to waste search budget is paying for clicks from people searching for something adjacent but not what you sell.

Automated bidding strategies work well once an account has enough conversion data to learn from, and work badly when applied to a new account with no history. We manage this transition deliberately, starting with more manual control where needed and shifting to automated strategies once there is a reliable conversion signal to optimise against.

Budget allocation follows the same logic as structure. We would rather fully fund the campaigns proven to return a qualified enquiry at an acceptable cost and cap the ones still being tested, rather than spreading spend evenly across everything and hoping the average works out.

We also factor in your actual margin and sales close rate before recommending a target cost per acquisition, since a healthy cost per lead in one business is unsustainable in another. This conversation happens before the account is built, not after the first invoice.

Google Ads carries most search budgets and usually should, but it is rarely the whole picture. Microsoft Bing Ads often delivers a lower cost per click with a higher average customer value audience in B2B categories, and we run it wherever the volume justifies it. YouTube search placements and Google Shopping campaigns for retail clients extend the same intent driven logic into adjacent formats.

For ecommerce clients specifically, Shopping campaign feed quality tends to matter more than bidding sophistication. Titles, categories, images and pricing accuracy in the product feed frequently explain more of the performance gap than any bid adjustment could.

The monthly report leads with cost per qualified lead or purchase, broken down by intent tier and campaign, alongside spend efficiency trends and the specific search terms driving results. Click through rate and impression share are included as supporting context, not headline numbers, since neither one pays your bills.

You also get a plain account of what changed that month and why: which campaigns were scaled, which were paused, which new negatives were added, so the account's direction is never opaque even between review calls.

SEM works best where there is measurable search demand for what you sell, a clear enough offer to write a compelling ad for, and a sales process that can handle enquiries arriving quickly once campaigns go live. It is the fastest route to qualified traffic when organic search is still being built out.

It is a weaker fit if your product has essentially no search volume yet, since paid search cannot manufacture demand that does not exist, or if your margins cannot sustainably support the realistic cost per click in a competitive category. We will tell you honestly if the numbers do not work before recommending you spend against them.