Keyword Examples That Map to Buying Intent

Keyword examples give you a working vocabulary for search strategy, but the ones worth building around are the ones that map to how real buyers think, not how marketers describe their own products. The difference between a keyword list that drives revenue and one that drives traffic is almost always intent.

Most keyword frameworks sort by volume and competition. That is useful as a starting point. What gets skipped is the harder question: what is the person actually trying to do when they type this? That question is where keyword strategy becomes go-to-market strategy.

Key Takeaways

  • Keyword examples only matter when they are sorted by intent, not just volume. High-traffic terms with no commercial signal are a distraction.
  • Most brands over-index on bottom-funnel keywords and miss the earlier moments where preference is actually formed.
  • Long-tail keywords often outperform head terms in conversion because they reflect a buyer who has already done their thinking.
  • Keyword research is a proxy for audience research. The words people use to search reveal how they frame their problems, not how you frame your solutions.
  • Mapping keyword types to funnel stages is not a content exercise. It is a commercial planning exercise that should sit inside your go-to-market strategy.

Why Keyword Examples Are a Go-To-Market Tool, Not Just an SEO Checklist

I spent a large chunk of my early career overweighting the bottom of the funnel. Performance marketing felt clean. You could see clicks, conversions, cost per acquisition. It looked like control. What I did not appreciate at the time was how much of that conversion activity was capturing demand that already existed, not creating it. Someone was going to buy anyway. We just happened to be there when they searched.

Keywords sit at the intersection of that problem. If you only chase purchase-intent terms, you are fishing in a pond that your competitors are also fishing in. The brands that grow are the ones who show up earlier in the thinking process, when someone is still forming their view of what they need and who can provide it.

This is why keyword examples are worth studying carefully. Not to copy them, but to understand the intent architecture behind them. Each keyword type represents a different moment in a buyer’s experience, and matching your content and media to those moments is what separates a keyword list from a growth strategy. If you want more context on how keyword thinking fits into broader commercial planning, the Go-To-Market and Growth Strategy hub covers the full picture.

The Five Keyword Types Worth Understanding

There is no single taxonomy for keywords that everyone agrees on. But in practice, five categories cover most of what you will encounter, and each one has a different commercial implication.

1. Informational Keywords

These are queries where the person wants to learn something. They are not ready to buy. They are trying to understand a problem, a concept, or a category. Examples include “what is programmatic advertising,” “how does content marketing work,” or “types of marketing automation.”

The commercial value here is often underestimated. When I was running agency new business development, the clients who came to us best prepared had almost always done serious research before picking up the phone. They had read things, formed views, and arrived with a shortlist. If your brand was part of that research phase, you had a material advantage going into the conversation. If you were not, you were starting from zero against competitors who had already built credibility.

Informational keywords are how you get into that research phase. The content does not need to be a sales pitch. It needs to be genuinely useful. That is what earns the association.

2. Navigational Keywords

Navigational queries are brand-specific. Someone searching “Salesforce login” or “HubSpot pricing page” already knows where they want to go. They are using Google as a directory. These terms matter for brand protection and user experience, but they are not where you build new audience.

The interesting version of navigational keywords is competitor navigational terms. If someone is searching for a competitor by name, they are already in-market. Showing up adjacent to that search, done carefully and honestly, is legitimate. Done clumsily, it looks desperate. The distinction is whether you are offering genuine contrast or just hijacking someone else’s brand equity.

3. Commercial Investigation Keywords

This is the category most brands underinvest in. Commercial investigation keywords are the “best,” “vs,” “review,” and “alternatives” searches. Someone typing “best CRM for small business” or “HubSpot vs Salesforce” is actively evaluating options. They have intent. They have not committed.

This is arguably the highest-leverage moment in the funnel. The person is reachable, they are open, and they are doing the kind of comparative thinking that shapes final decisions. Being present here with honest, useful content builds the kind of trust that converts. Being absent here means you are leaving the evaluation to review sites and competitors.

When I was at iProspect, we grew the business significantly by helping clients understand where they were losing consideration, not just where they were losing conversions. The gap was almost always in this middle band of the funnel, where intent was clear but brand preference had not yet formed.

4. Transactional Keywords

These are the terms everyone fights over. “Buy,” “order,” “price,” “near me,” “get a quote.” High commercial intent, high competition, often high cost in paid search. Transactional keywords are worth competing for, but the brands who treat them as their primary keyword strategy are the ones who end up with expensive, fragile acquisition models.

The problem with over-indexing on transactional terms is the same problem I kept seeing in performance marketing more broadly. You are capturing people who were already going to buy from someone. You might win the conversion. You are not building the preference that makes someone choose you specifically, or come back, or recommend you to someone else.

5. Long-Tail Keywords

Long-tail keywords are longer, more specific phrases with lower individual search volume but often higher conversion rates. “Marketing agency for SaaS companies in London” is a long-tail keyword. “Marketing agency” is not. The specificity signals that the searcher has already done a lot of thinking. They know what they want. They are just looking for the right match.

BCG’s work on long-tail pricing and market structure is worth reading if you want to understand why specificity creates commercial advantage across categories, not just in search. The principle that granular targeting outperforms broad targeting in complex markets applies directly to keyword strategy.

Keyword Examples Across Industries: What Good Looks Like

Abstract keyword types are easier to understand with concrete examples. Here are keyword clusters across different sectors, mapped to intent.

B2B Software

Informational: “what is customer data platform,” “how to reduce churn in SaaS,” “difference between CDP and CRM”

Commercial investigation: “best CDP for enterprise,” “Segment vs mParticle,” “customer data platform reviews”

Transactional: “CDP software pricing,” “request CDP demo,” “buy customer data platform”

Long-tail: “customer data platform for B2B manufacturing companies,” “CDP integration with Salesforce and Marketo”

Financial Services

Informational: “how does a stocks and shares ISA work,” “what is a tracker fund,” “difference between fixed and variable mortgage”

Commercial investigation: “best stocks and shares ISA providers,” “cheapest tracker funds UK,” “mortgage broker vs direct lender”

Transactional: “open stocks and shares ISA,” “apply for mortgage online,” “compare ISA rates”

Long-tail: “stocks and shares ISA for first-time investors under 30,” “low-cost index fund ISA for retirement”

BCG’s research on go-to-market strategy in financial services highlights how different audience segments approach financial decisions with very different information needs. That maps directly to keyword intent. A first-time investor and an experienced portfolio manager are using completely different language to search for overlapping products.

Healthcare and Medical Devices

Informational: “how does continuous glucose monitoring work,” “what is a CPAP machine used for,” “symptoms of sleep apnoea”

Commercial investigation: “best continuous glucose monitors 2025,” “CPAP machine comparison,” “sleep apnoea treatment options”

Transactional: “buy CPAP machine online,” “continuous glucose monitor prescription,” “sleep clinic near me”

Healthcare keyword strategy has its own complexity because the buyer and the end user are often different people, and the regulatory environment shapes what you can claim. Forrester’s work on go-to-market challenges in healthcare devices is a useful reference point for understanding why standard keyword frameworks sometimes break down in regulated categories.

E-commerce and Retail

Informational: “how to choose a running shoe for flat feet,” “what is merino wool,” “difference between down and synthetic insulation”

Commercial investigation: “best running shoes for flat feet,” “merino wool base layer review,” “warmest down jacket under £200”

Transactional: “buy Brooks running shoes,” “merino wool jumper sale,” “waterproof jacket free delivery”

Long-tail: “running shoes for flat feet and overpronation half marathon training”

The retail example is where the clothes shop analogy from my earlier thinking becomes relevant. Someone who has done enough research to search for a specific, detailed long-tail term is the equivalent of someone who has already tried something on. The consideration work has been done. Your job at that point is not to persuade, it is to make the transaction frictionless.

How to Build a Keyword Map That Connects to Commercial Outcomes

Keyword research tools give you data. They do not give you strategy. The translation from data to strategy requires a few specific decisions.

Start with audience segments, not search volumes

The most useful thing I learned from running agency pitches across thirty-odd industries is that the language a brand uses to describe its own product is almost never the language its customers use to search for it. There is a consistent gap between internal vocabulary and external vocabulary. Keyword research is one of the cheapest ways to close that gap.

Before you open a keyword tool, write down who your audience segments are and what problem each one is trying to solve. Then use the tool to find how they are actually expressing that problem in search. The divergence between your assumptions and the data is where the real insight lives.

Map keywords to funnel stages with commercial intent in mind

A keyword map that just lists terms by volume is not a strategy. A keyword map that assigns each cluster to a funnel stage, a content type, and a commercial objective is something you can actually plan against.

For each keyword cluster, ask: what does someone want when they type this, what is the best format to serve that need, and what commercial outcome does this support? Not every keyword needs to convert directly. Some are building awareness, some are building consideration, some are closing. Knowing which is which prevents you from writing a sales pitch when someone wanted an explanation.

Prioritise based on where you have a right to win

High-volume keywords in competitive categories are expensive to rank for and often dominated by established players with significant domain authority. Chasing them without a clear competitive advantage is a slow, expensive way to get mediocre results.

The more useful question is: where does your expertise, your perspective, or your specific audience knowledge give you an edge? That is often in the more specific, lower-volume terms where the established players have not bothered to go deep. Winning there builds authority that eventually helps you compete for broader terms.

Tools like Semrush are useful for understanding the competitive landscape before you commit resources. Their analysis of growth strategies shows how keyword and content investment compounds over time when it is targeted correctly rather than spread thin.

Treat keyword gaps as audience gaps

When a keyword gap analysis shows you terms that competitors rank for and you do not, the temptation is to treat it as a content gap. Sometimes it is. But often it is an audience gap. Your competitor is reaching a segment of the market that you are not speaking to at all, not because you have not written the article, but because you have not thought about that segment as part of your audience.

That distinction matters because the fix is different. A content gap you can close with a well-written piece. An audience gap requires you to think about positioning, messaging, and whether that segment is actually one you want to serve. Keyword data surfaces the symptom. The diagnosis requires thinking about your go-to-market strategy more broadly.

The Mistakes That Make Keyword Strategies Fail

I have seen keyword strategies fail in fairly predictable ways. Not because the research was bad, but because the thinking around it was.

The first mistake is optimising for volume without considering intent. A keyword with 50,000 monthly searches is worth nothing if the people searching it have no commercial relationship to what you sell. Traffic is not a business outcome. Qualified traffic is.

The second mistake is treating keywords as a content brief rather than a commercial signal. When someone searches “how to reduce customer churn,” they are not just looking for an article. They are signalling a problem they are actively experiencing. The content you create in response to that signal should speak to the problem with the authority of someone who has solved it, not the generic competence of someone who has read about it.

Early in my career, I sat in a brainstorm for a major brand where the brief had been written entirely around what the brand wanted to say. There was no question in the room about what the audience was actually asking. The campaign that came out of it was technically competent and commercially useless. The keywords the audience was using to search for solutions in that category were nowhere in the brief. That gap between what brands want to say and what audiences want to know is where most keyword strategies fall apart.

The third mistake is ignoring the relationship between organic keyword strategy and paid search. The two should inform each other. Paid search data tells you which terms convert at what cost. Organic keyword data tells you where you can build durable visibility without ongoing spend. Using one without the other means you are either paying for traffic you could earn, or earning traffic that does not convert.

Behavioural analytics tools like Hotjar can help you understand what happens after someone arrives from a keyword. Whether they engage, where they drop off, what they click. That post-click behaviour tells you whether your keyword-to-content match is working or whether you are attracting the wrong people with the right traffic.

Keyword Strategy as Part of a Broader Go-To-Market Plan

Keyword strategy does not exist in isolation. It is one input into a broader go-to-market approach that includes how you position your product, which audiences you are trying to reach, and what commercial outcomes you are working toward. The brands that get the most from keyword investment are the ones who connect their keyword map to their commercial plan, not just their content calendar.

That means asking questions like: which keyword clusters support our acquisition targets for this quarter, which ones are building the brand awareness that will reduce our cost of acquisition next year, and which ones are defending territory we already hold against competitors who are trying to take it.

Creator-led content is increasingly part of how brands reach audiences at the top of the funnel, before search intent has fully formed. If you are thinking about how keyword strategy connects to broader content and campaign planning, Later’s work on go-to-market with creators is a useful perspective on how organic and paid content can work together to build the kind of awareness that eventually shows up as search volume.

Agile go-to-market planning also means revisiting your keyword strategy regularly, not setting it once and assuming it holds. Markets shift, competitors move, and the language audiences use to describe their problems evolves. Forrester’s thinking on agile scaling and organisational responsiveness is relevant here. The same principles that apply to organisational agility apply to keyword strategy: build in regular review cycles and treat your keyword map as a living document, not a one-time deliverable.

If you are working through how keyword strategy fits into your wider commercial planning, the Go-To-Market and Growth Strategy hub has more on connecting marketing decisions to business outcomes across the full planning cycle.

About the Author

Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.

Frequently Asked Questions

What are the main types of keywords in search marketing?
The five main types are informational, navigational, commercial investigation, transactional, and long-tail keywords. Each reflects a different stage of buyer intent. Informational keywords indicate someone is learning. Commercial investigation keywords indicate someone is comparing options. Transactional keywords indicate someone is ready to act. Long-tail keywords are more specific phrases that often combine intent types and typically convert at higher rates because the searcher has already done significant thinking.
What is the difference between a head term and a long-tail keyword?
A head term is a short, broad keyword with high search volume and high competition, such as “running shoes” or “marketing software.” A long-tail keyword is a longer, more specific phrase with lower individual search volume but often higher commercial relevance, such as “best running shoes for flat feet and overpronation” or “marketing automation software for small B2B teams.” Long-tail keywords tend to convert better because the specificity signals that the searcher has already done their research and knows what they are looking for.
How do you choose which keywords to prioritise?
Prioritisation should be based on three factors: commercial relevance, competitive feasibility, and alignment with your audience segments. High-volume terms are only worth pursuing if you have the domain authority and content depth to compete for them. More specific terms in underserved areas often deliver better returns faster. Start by mapping keyword clusters to funnel stages and audience problems, then assess where you have a genuine right to win based on your expertise and existing authority.
How does keyword research connect to go-to-market strategy?
Keyword research reveals how your target audience describes their problems and evaluates solutions. That language is a direct input into positioning, messaging, and content strategy. A keyword gap analysis can surface audience segments you are not currently reaching. A keyword intent analysis can show where in the buying process your content is performing and where it is absent. When treated as audience intelligence rather than just an SEO task, keyword research becomes one of the most useful inputs into a go-to-market plan.
Why do high-traffic keywords sometimes produce poor commercial results?
High-traffic keywords often attract people at the very early stages of awareness who have no immediate intent to buy. If your content and conversion paths are built for purchase-ready visitors, informational traffic will bounce without converting. The mismatch between keyword intent and content type is the most common cause of high traffic with poor commercial outcomes. Aligning what you offer on a page to what the searcher actually wants at that moment is more important than chasing volume.

Similar Posts