The Problem With How Most Accounts Are Structured
The majority of paid search accounts are organised in ways that made sense five years ago and create significant inefficiency today. Campaigns grouped by product or service category, keywords organised by match type rather than intent, and bidding strategies applied uniformly across queries with vastly different commercial value.
The result is predictable: budget allocated to queries that will never convert, insufficient investment in the terms that drive the majority of revenue, and automated bidding systems optimising for signals that bear limited relationship to actual commercial outcomes.
Commercial intent architecture starts with a different organising principle - not what you sell, but how your prospects think about buying.
The Intent Hierarchy
Every keyword in a paid search account sits somewhere on a spectrum from low commercial intent to high commercial intent. Mapping this spectrum is the foundation of a commercially sound keyword strategy.
Discovery-stage queries are informational. The searcher is problem-aware but not yet solution-aware. Bidding on these terms can build brand exposure and feed remarketing lists, but the immediate conversion expectation should be low. These terms warrant lower bids and different landing page strategies than high-intent terms.
Evaluation-stage queries indicate active consideration. The searcher is comparing options, evaluating providers, or trying to understand how solutions differ. Terms like "best CRM software for B2B" or "SEO agency vs in-house" sit in this category. These queries have moderate commercial intent and require landing pages that address comparison criteria and objections, not just feature descriptions.
High-intent queries express clear purchase readiness. "CRM implementation agency", "HubSpot setup services", "SEO agency Edinburgh" - these terms indicate a prospect who is close to a decision. These keywords warrant maximum investment, tailored destinations, and aggressive bid strategies. They are often the lowest-volume terms in an account and among the highest-converting.
Building your campaign structure around this hierarchy - rather than product categories - allows you to allocate budget according to commercial priority and apply the right optimisation logic at each stage.
The Problem With Match Type as an Organising Principle
Historically, keyword match types (broad, phrase, exact) were a primary organising tool in paid search. That logic has broken down. Google's automated matching now interprets user intent beyond exact lexical matches, and broad match in particular now serves queries that differ significantly from the listed keyword.
This is not inherently bad - broad match can surface high-value queries you had not considered. But it means match type alone is an unreliable way to control what your ads appear for. Negative keyword management, audience segmentation, and intent-based campaign structure have become more important than match type as control mechanisms.
Audience as a Qualifying Layer
A keyword's value is not fixed - it varies depending on who is searching. A generic service query from an existing customer has different commercial implications than the same query from an unknown prospect. A query from a user in a target industry vertical is worth more than the same query from outside your serviceable market.
Layering audience signals over keyword targeting allows you to bid differently for the same keyword depending on who is searching. First-party data from your CRM, in-market audience signals, and customer match lists can all be applied to adjust bids and tailor messaging by commercial segment.
This is where the operational gap between sophisticated and unsophisticated paid search accounts is widest. Most accounts treat all searchers of a given keyword as equivalent. The highest-performing accounts treat the same keyword differently depending on the commercial profile of the person behind the search.
Conversion Signal Architecture
Keyword strategy cannot be separated from measurement strategy. The signal you pass to Google's automated bidding determines what the system optimises for. If you track all form fills equally regardless of lead quality, the system will optimise for form fill volume - not commercial value.
Sophisticated keyword strategy is supported by differentiated conversion tracking: separate conversion actions for different lead types, offline conversion import to feed back closed-won data, and revenue-based bidding targets where sales cycle length allows. This converts the automated bidding system from a volume optimiser into a revenue optimiser.
The Review Cycle
Keyword strategies are not set-and-forget. The search landscape shifts as competitor behaviour changes, Google's matching evolves, and market demand moves. A structured review cycle - analysing search term reports, reviewing intent alignment, refreshing negative keyword lists, and revisiting bid strategies against revenue outcomes - is what separates accounts that compound over time from those that plateau.
Building commercial intent architecture into your paid search account is a structural investment that improves every other optimisation decision. If you want to assess how your current account structure aligns to commercial intent, speak with our team.