Keywords Examples That Change How You Plan

A keywords example is a real-world illustration of how a keyword phrase maps to search intent, business objective, and content strategy. The best examples do not just show you what a keyword looks like. They show you why it was chosen, what stage of the buying process it serves, and what the content needs to do to earn the click and convert it.

Most keyword strategy guides stop at the mechanics: search volume, difficulty, CPC. What they skip is the commercial logic. And that gap is where most keyword strategies fall apart before a single word is written.

I have spent a long time watching keyword strategy get treated as a technical SEO task, handed off to whoever manages the website or the content calendar. That is a mistake. The keywords you target determine which audiences you reach, at what stage of their decision-making, and with what message. That is a go-to-market decision. It belongs in the same conversation as channel strategy and audience segmentation. If you are thinking through how keyword planning fits into broader growth thinking, the Go-To-Market and Growth Strategy hub covers the commercial framework that makes these decisions coherent.

What Makes a Keywords Example Actually Useful?

There is no shortage of keyword lists on the internet. Type any topic into a keyword research tool and you will get thousands of phrases, sorted by volume or difficulty or some composite score that the tool invented. What you will not get is context. You will not get an explanation of why a particular keyword belongs in your strategy, what content it demands, or what business outcome it is supposed to support.

A useful keywords example does three things. It identifies the phrase. It maps the intent behind it. And it connects that intent to a specific moment in the buying process. Without all three, you are just collecting words.

Take a simple category: project management software. A keyword like “project management software” has enormous volume and almost no specificity. The person searching it could be a student writing an essay, a freelancer curious about options, or a procurement lead at a 500-person company with a budget and a deadline. The keyword tells you nothing about which one you are dealing with. Contrast that with “project management software for construction teams” or “project management tool with Gantt chart and time tracking.” Those phrases carry intent. They tell you something about the person, their context, and what they need to see to keep moving.

The difference is not volume. It is signal quality. And signal quality is what separates keyword strategy from keyword collection.

How Intent Shapes Keyword Selection: Three Examples

Intent sits at the heart of every keyword decision worth making. The conventional framework breaks it into informational, navigational, commercial, and transactional. That is a reasonable starting point, but in practice the lines blur, and the more useful question is: what does this person need to see next to move forward?

Here are three keyword examples that illustrate how intent shapes strategy, not just content.

Example 1: Informational Keyword with a Commercial Bridge

Keyword: “how to reduce customer churn”

This is an informational query. The person searching it is not ready to buy. They are trying to understand a problem. But if you sell customer success software, retention analytics, or CRM tools, this keyword sits directly in your audience’s world. The content it demands is genuinely educational: a clear explanation of what drives churn, what levers exist to address it, and what good looks like. The commercial bridge is subtle. You are not selling in the article. You are demonstrating that you understand the problem better than anyone else, which earns the right to be considered when the person is ready to evaluate solutions.

This is the logic behind content-led growth. You reach people before they are in market, build credibility, and stay visible when intent crystallises. Semrush’s breakdown of growth examples shows how this plays out across different business models, and the pattern holds: early-funnel content compounds in ways that bottom-funnel spend cannot.

Example 2: Commercial Keyword with Comparison Intent

Keyword: “Salesforce vs HubSpot for small business”

This is a commercial investigation query. The person searching it has already decided they need a CRM. They are now comparing options. The intent is evaluative, not educational. The content it demands is different: direct comparison, honest trade-offs, clear guidance on which product suits which situation. Vague or promotional content fails here because the person is not looking for a pitch. They are looking for a decision framework.

For smaller CRM vendors, this keyword represents an opportunity to appear in a conversation they might otherwise be excluded from. A well-constructed comparison page that includes the two dominant players but positions the third option clearly can capture traffic from people who are open to alternatives. That is not gaming the system. That is understanding where the conversation is happening and showing up with something useful.

Example 3: Transactional Keyword with Narrow Audience

Keyword: “enterprise SEO platform pricing”

Low volume. High commercial value. The person searching this phrase is almost certainly in a buying process. They have identified a category, they have probably shortlisted vendors, and they want to understand cost before committing to a conversation. The content it demands is direct: pricing information, or at minimum a clear explanation of how pricing works and what drives it. Hiding pricing behind a “contact us” wall on a page targeting this keyword is a conversion failure dressed up as a sales strategy.

I have seen this pattern repeatedly in B2B. Marketing teams optimise for the keyword, rank for it, and then hand the searcher a gated form with no pricing information. The click happens. The conversion does not. The keyword gets blamed. The real problem is the page.

The Funnel Map Nobody Actually Builds

Keyword strategy should produce a map. Not a spreadsheet of phrases sorted by volume, but a genuine map that shows which keywords serve which stage of the buying process, what content each requires, and what the next step is for someone who engages with it. Most teams do not build this. They build lists.

Earlier in my career I overvalued lower-funnel keywords. It made sense at the time: the intent was clear, the conversion paths were short, and the results were easy to attribute. What I missed was that most of those conversions were happening anyway. The person had already decided. We were capturing intent that existed, not creating it. When I started looking at the full picture, including the informational and commercial investigation stages, the gaps were obvious. We were invisible to people who were not yet ready to buy, which meant we had no influence over how they framed the problem or which solutions they considered.

Think about it like a clothes shop. Someone who walks in and tries something on is far more likely to buy than someone who walks past the window. Keyword strategy at the top of the funnel is what gets people through the door. Optimising only for transactional keywords is like only speaking to people who are already at the till.

Forrester’s intelligent growth model makes a similar point about the relationship between reach and conversion: sustainable growth requires both, and organisations that focus exclusively on conversion efficiency tend to hit a ceiling because they are working with a shrinking pool of already-aware prospects.

What Keyword Clusters Tell You About Market Structure

One of the more underused applications of keyword research is competitive intelligence. When you map out the full keyword landscape for a category, not just your own target phrases but the entire conversation happening in search, you get a picture of how the market is structured, where the demand is concentrated, and where the gaps are.

Keyword clusters, groups of semantically related phrases around a topic, reveal how people think about a problem. If a large cluster exists around “alternatives to [market leader],” that tells you there is dissatisfaction in the market and an audience actively looking for options. If the informational cluster around a topic is large but the commercial cluster is small, that suggests the market is still educating itself and the buying process is early-stage. These are go-to-market signals, not just content planning inputs.

When I was running agency teams across different verticals, the most commercially useful keyword analyses were the ones that started with a market question, not a content question. What are people trying to solve? Where is the conversation concentrated? What does the search landscape tell us about where this category is in its maturity cycle? The answers shaped channel strategy, positioning, and content investment, not just what pages to build.

Tools like Semrush’s growth toolkit give you the raw data to do this kind of analysis. The data is not the strategy. But it is the input that makes strategy less speculative.

Long-Tail Keywords: Where the Commercial Logic Gets Specific

Long-tail keywords get talked about constantly and understood poorly. The conventional wisdom is that they are easier to rank for because they have lower competition. That is true, but it is the least interesting thing about them. The more important point is that long-tail keywords carry more specific intent, which means the person searching them has told you more about who they are and what they need.

A few examples that illustrate the commercial logic:

“Marketing agency” is a head term. Enormous volume, almost no signal. “B2B marketing agency for SaaS companies in London” is a long-tail phrase. Much lower volume, extremely high signal. The person searching the second phrase has told you their industry, their business model, and their geography. If you are a B2B SaaS marketing agency in London, that keyword is worth more than a thousand generic clicks on the head term.

Long-tail keywords also tend to reflect real language. People searching at the point of decision use the words they actually use in conversation, not the sanitised category terms that appear in industry reports. Listening to long-tail search data is one of the most direct ways to understand how your audience thinks about their problem, which is information that should feed into positioning, messaging, and sales conversations, not just content.

I have sat in more than a few brand strategy sessions where the team debated positioning language for weeks, then found the answer sitting in the long-tail search data for their category. The audience had already told them what mattered. Nobody had looked.

Negative Keywords: The Example Nobody Talks About

In paid search, negative keywords are the phrases you explicitly exclude from your campaigns. They are one of the most commercially important decisions in any PPC account, and they are chronically underused. But the concept applies beyond paid media. In organic strategy, the equivalent is choosing which keywords you deliberately do not target, because the audience behind them is not your audience.

I have managed accounts where negative keyword lists were treated as an afterthought, added occasionally when someone noticed irrelevant traffic. In practice, a well-built negative keyword list is a positioning statement. It defines who you are not trying to reach, which clarifies who you are. A premium B2B software company that keeps appearing for “free project management tool” is wasting budget and muddying its positioning simultaneously.

The same logic applies to content strategy. If your keyword plan includes phrases that attract an audience who will never buy from you, that traffic creates noise in your analytics, distorts your conversion data, and consumes editorial resource that could be directed at the right audience. Choosing not to target a keyword is a strategic decision, not a gap in your coverage.

How to Read a Keyword Example the Right Way

When you look at a keyword example in a case study, a tutorial, or a competitor analysis, the metrics are the starting point, not the conclusion. Here is what to look for beyond volume and difficulty:

First, who is searching this? Not a demographic profile, but a real description of the person, their situation, and what they are trying to accomplish. If you cannot answer that question specifically, the keyword is not ready to be targeted.

Second, what does the SERP look like? The search engine results page for any keyword tells you what Google thinks the intent is. If the top results are all listicles, a long-form guide is fighting the format. If the top results are product pages, an educational article is misaligned. The SERP is the brief.

Third, what is the next step? Every piece of content built around a keyword should have a clear answer to what the reader does next. That might be a related article, a product page, a lead magnet, or a contact form. If there is no answer, the keyword is a traffic destination with no commercial logic behind it.

Fourth, what does success look like? Not just rankings or traffic, but business outcome. For an informational keyword, success might be time on page and scroll depth, indicators that the content is genuinely useful. For a transactional keyword, success is conversion. Applying the same metric to every keyword in your plan produces misleading data and bad decisions.

Early in my agency career, I had a moment where I was handed a whiteboard pen mid-brainstorm and asked to lead a session I had not prepared for. The instinct was to reach for something safe, something that looked like an answer without committing to one. I learned quickly that the room respects specificity, not hedging. The same is true of keyword strategy. Vague targeting feels safe. Specific, intentional targeting feels exposed. But it is the only kind that produces results you can learn from.

For a broader view of how keyword strategy connects to channel planning, audience development, and commercial growth, the Go-To-Market and Growth Strategy hub pulls these threads together in a way that is more useful than treating each discipline in isolation.

Keyword Strategy in Practice: A B2B and B2C Comparison

The mechanics of keyword research are the same regardless of sector. The commercial logic is different, and that difference matters for how you prioritise and deploy your keyword strategy.

In B2B, buying decisions typically involve multiple stakeholders, longer cycles, and higher consideration. Keywords that serve the early stages of that cycle, problem definition, category education, vendor comparison, tend to carry more strategic weight than in B2C. A CFO and a Head of Operations might search for the same software using completely different language, reflecting different concerns. A keyword strategy that only targets one of those perspectives misses half the buying committee.

In B2C, the cycle is often shorter and the emotional dimension of the decision is higher. Keywords that reflect aspiration, identity, or social proof tend to perform differently than purely functional phrases. Someone searching “running shoes for marathon training” is telling you something about their ambition, not just their footwear requirement. The content that earns that click needs to reflect that.

Forrester’s analysis of go-to-market challenges in complex categories highlights a consistent pattern: organisations that treat keyword strategy as a content exercise rather than a market mapping exercise tend to underinvest in the stages of the experience where decisions are actually formed. By the time a prospect is searching a transactional keyword, most of the decision has already been made. The keyword strategy that influenced the earlier stages is the one that shaped the outcome.

Creator-led content is changing this dynamic in B2C particularly. Later’s research on creator-driven go-to-market campaigns shows how influencer content is increasingly functioning as a discovery layer that feeds organic search behaviour. Someone sees a product in a creator’s content, searches for it, and lands on an organic result. The keyword gets the conversion credit. The creator content created the intent. Understanding that chain is essential for building a keyword strategy that reflects how your audience actually moves.

The Measurement Problem with Keywords

Keyword performance data is a perspective on reality, not reality itself. Rankings fluctuate. Traffic from a single keyword rarely tells you what you think it tells you. And the attribution models most teams use for organic search are built on assumptions that do not hold up under scrutiny.

The most common measurement mistake I see is treating keyword rankings as an outcome rather than an indicator. A ranking is a means to an end. The end is traffic. The traffic is a means to an end. The end is engagement. The engagement is a means to an end. The end is conversion. The conversion is a means to an end. The end is revenue. Most keyword reporting stops at rankings or traffic and calls it success. That is like reporting on how many people walked into a shop without mentioning how many bought something.

Honest keyword measurement requires connecting search data to business outcomes, which is harder than it sounds and requires more than a Google Search Console export. It requires understanding which keywords are driving not just traffic but the right traffic, and what that traffic does after it arrives. Hotjar’s work on growth loops and user feedback is a useful reminder that behavioural data, what people do on your site, is often more revealing than traffic data alone.

The teams that get this right are the ones that have connected their keyword strategy to a clear hypothesis about business impact, and that measure against that hypothesis rather than against vanity metrics. They are also the ones that are willing to deprioritise a high-traffic keyword when the data shows it is not driving the right audience. That takes discipline that most organisations do not have, because traffic numbers feel like progress even when they are not.

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.

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