Google Ads Management

01

Every goal has its own campaign type.

Search Network campaigns capture the highest-intent traffic, since the user is already searching for something; they're text-based and keyword-triggered. The Display Network works on the opposite logic: it builds brand awareness and broad reach with visual banners across millions of sites, but intent is low. Shopping campaigns show the product image, price, and store name directly in the search results — a natural format for e-commerce.

Performance Max largely erases that distinction: within a single campaign, it draws on Search, the Display Network, YouTube, Gmail, and Discover — Google's entire inventory — at once. The advertiser supplies text, images, and goals; Google's machine learning decides in real time which channel, and which combination, will drive conversions. Some control is handed to automation, in exchange for scale and efficiency.

02

Match type decides where the budget goes.

Broad match delivers the widest reach but the loosest relevance; the system can trigger the ad on any search it judges related to the keyword entered. Phrase match preserves the meaning of the search while requiring a specific context. Exact match offers the narrowest targeting — it appears only for searches carrying the same intent, and usually brings the highest-converting traffic. The right mix depends on the campaign's maturity and budget.

Bid strategy spans a similar range: from manual cost-per-click all the way to Smart Bidding, where Google places an automatic bid in every auction based on historical data. Strategies such as Target CPA, Target ROAS, and Maximize Conversion Value decide in the moment, based on the context of each search — device, time, location, user history — rather than applying one fixed bid. Once enough conversion data has accumulated, this automation usually outperforms manual management.

03

Quality Score decides the price of every click you pay for.

Google calculates a Quality Score between 1 and 10 for every keyword, made up of three components. Expected Click-Through Rate estimates the likelihood of a click based on the ad's past performance. Ad Relevance measures how closely the keyword and the ad copy overlap. Landing Page Experience evaluates the page's content relevance, load speed, mobile-friendliness, and transparency.

A high Quality Score means a lower cost per click and a better ad position for the same budget — a low score means paying more than your competitors for the same position. And while two of these three components sit largely within the control of the ad copy, the third is decided entirely outside the campaign, on your own site.

04

Buying traffic is easy; landing it in the right place is hard.

The Landing Page Experience component is usually the most neglected, because once the campaign is set up, the job is assumed to be done. Yet in calculating this score, Google looks at how closely the page the click lands on matches what was searched for, how fast it loads, and how clearly it points the user to a next step. Search traffic sent to a generic corporate page both converts less and costs more.

We treat this as a concrete engineering matter within our own infrastructure. DMU's page-production system, _seo_engine, selects a different design family for each industry and goal; one of them is specifically the conversion-performance family — a design language built around conversion funnels, campaign metrics, search intent, and lead-journey patterns, defined explicitly for Google Ads and online advertising. Another, the timeline-led family, which foregrounds chronological narrative, is likewise flagged for Google Ads scenarios.

This is the very system we use to produce our own SEO pages — not a generic template bolted on afterward for ad traffic. We don't just buy clicks; we plan, from the outset, exactly which design logic the page behind that click is built on.