Competitive Analysis Example: How to Read a Competitor and Act on It

A competitive analysis example is a structured breakdown of how one business compares against its rivals across the dimensions that actually affect commercial performance: positioning, messaging, search visibility, pricing signals, and audience behaviour. Done well, it produces decisions, not documents.

Most competitive analysis outputs I have seen in agency and in-house settings are thorough in the wrong ways. They catalogue everything and conclude nothing. This article walks through a real-world style example, section by section, and shows what a useful competitive analysis actually looks like when it is built to inform strategy rather than fill a slide deck.

Why Most Competitive Analysis Examples Miss the Point

When I was running an agency and we pitched a new client, competitive analysis was often the first deliverable requested. The brief was usually something like: “We want to know what our competitors are doing.” Reasonable enough. But the output that most teams produced was a grid of logos, a list of features, and a screenshot of everyone’s homepage. That is not analysis. That is observation.

The distinction matters because observation without interpretation produces no decisions. You end up with a document that confirms what the client already knew and adds a veneer of rigour. Real competitive analysis answers a different question: not “what are they doing?” but “what does that tell us about where the market is heading and where we should position ourselves?”

I have judged at the Effie Awards, where effectiveness is the only currency that matters. The campaigns that win are almost never the ones that out-shouted the competition. They are the ones that identified a genuine gap, often a positioning gap the competitor had created by moving upmarket, or a customer need the category had collectively ignored. That insight came from competitive analysis done properly.

If you want a broader grounding in how competitive intelligence fits into a research programme, the Market Research and Competitive Intel hub covers the full landscape, from tool selection to strategic application.

What the Example Scenario Looks Like

To make this concrete, I will use a fictional but realistic scenario throughout: a mid-market B2B SaaS company, call it Fieldwork, that sells project management software to construction firms. It has three main competitors: a large established player (Enterprise Co), a cheaper self-serve alternative (Budget Tool), and a newer entrant positioning on AI features (AI Startup). Fieldwork has a decent product, a modest paid search budget, and a marketing team of four.

This is the kind of situation I have encountered dozens of times across agency engagements. The business is not small enough to ignore the competition and not large enough to absorb bad strategic decisions. The stakes are real. The analysis has to produce something usable.

Step One: Define What You Are Actually Competing On

Before you look at a single competitor, you need to be honest about the dimensions of competition in your market. In most markets, businesses compete on some combination of price, product capability, brand trust, distribution, and positioning. Not all of these are equally important in every category.

For Fieldwork, the relevant dimensions are: product fit for construction workflows, pricing relative to team size, ease of onboarding for non-technical users, integration with existing tools, and brand credibility with procurement teams. That list came from talking to customers and lost prospects, not from guessing.

This step is where most competitive analysis frameworks fall apart. They apply a generic template, often borrowed from an MBA textbook, without asking whether those dimensions actually drive purchase decisions in this specific market. If your customers do not care about a particular feature, tracking how well competitors execute that feature is a waste of time.

Understanding what buyers actually respond to is foundational. Copyblogger’s breakdown of writing for buyers makes a useful point about the gap between what marketers think matters and what actually moves someone toward a decision. That gap exists in competitive analysis too.

Step Two: Analyse Positioning and Messaging

Start with homepages and hero copy. Not because homepages tell you everything, but because they tell you what each competitor believes is their most compelling claim. That is useful data.

In our Fieldwork example, here is what the analysis reveals:

• Enterprise Co leads with “The complete platform for construction management.” Broad, safe, and positioning on comprehensiveness.
• Budget Tool leads with “Project management that does not break the budget.” Price is the headline. Everything else is secondary.
• AI Startup leads with “AI-powered workflows for modern construction teams.” Technology is the differentiator, and “modern” is doing a lot of work to imply that competitors are dated.
• Fieldwork currently leads with “Project management built for construction.” Accurate, but undifferentiated. It says what the product is, not why it is the right choice.

The immediate insight: nobody in this market is leading with outcomes. Nobody is saying “finish projects on time, every time” or “reduce rework by giving your site teams one place to work.” That is a gap. The category is competing on features and price, which means the first company to own an outcome-based position has an open field.

Hero image treatment is worth examining too, not as a design exercise but as a signal of who each competitor thinks their buyer is. Crazyegg’s analysis of hero image conventions touches on how visual choices communicate positioning before a word is read. Enterprise Co shows a boardroom. Budget Tool shows an individual at a laptop. AI Startup shows an abstract data visualisation. Fieldwork shows a construction site. Only Fieldwork is speaking directly to the actual environment of its buyer.

Step Three: Map Search Visibility and Keyword Intent

Organic search visibility is one of the most reliable proxies for where a competitor is investing in long-term demand capture. It is also one of the few areas where you can get reasonably precise data without spending a significant budget.

For Fieldwork, a keyword mapping exercise using a tool like Semrush or Ahrefs would reveal something like this:

• Enterprise Co ranks for broad project management terms and has significant domain authority. It is not specifically targeting construction. Its SEO is built for a general audience.
• Budget Tool has thin content, ranks for price-comparison terms (“cheap project management software”, “free construction software”), and relies heavily on paid search for volume.
• AI Startup has a content programme focused on AI productivity terms. It is building authority in a niche that does not yet have high search volume, which is either visionary or premature depending on how the market develops.
• Fieldwork ranks for a handful of branded terms and almost nothing else. It has essentially no organic presence in the construction-specific search terms where purchase intent is highest.

The implication for Fieldwork is clear. There is a cluster of high-intent, construction-specific search terms, things like “project management software for contractors”, “construction site management tools”, “subcontractor scheduling software”, that no competitor is owning. Enterprise Co is too broad to go after them. Budget Tool is not investing in content. AI Startup is focused elsewhere. This is an SEO opportunity with a short window before someone else notices it.

I saw a version of this play out at an agency I was running. A client in a specialist B2B sector had been ignoring organic search entirely, convinced that their buyers did not use Google to research purchases. We ran the keyword analysis and found a cluster of high-intent terms with almost no competition. Within eight months of a focused content programme, organic became their second-largest lead source. The opportunity was there the whole time. Nobody had looked.

Step Four: Examine Paid Search Behaviour

Paid search tells you where competitors are willing to spend money right now. That is a different signal from SEO, which reflects longer-term bets. Paid search is immediate and responsive, which means changes in bidding behaviour can signal strategic shifts quickly.

For Fieldwork, the paid search picture looks like this:

• Enterprise Co is bidding on branded terms for all competitors, including Fieldwork. This is a defensive play to intercept consideration-stage searches.
• Budget Tool is bidding heavily on generic category terms and running aggressive price-led ad copy. Its CPCs are likely high and its conversion rate is probably low, given the mismatch between generic intent and a niche product.
• AI Startup is not running much paid search at all. It is either conserving budget or betting entirely on content and word-of-mouth.
• Fieldwork is not bidding on its own brand terms, which means Enterprise Co is capturing some of Fieldwork’s own branded searches. That is an easy fix and an immediate priority.

The ad copy analysis is equally revealing. Enterprise Co uses authority signals (“trusted by 10,000+ teams”). Budget Tool uses price anchors (“from £9 per user”). AI Startup uses curiosity-gap copy (“see what AI can do for your site teams”). None of them are using testimonials or outcome-specific claims. Again, a gap.

Early in my career, I was running paid search campaigns and noticed that a competitor had stopped bidding on a key category term over a weekend. It turned out they had run out of budget. We doubled our bids on that term for three days and captured a disproportionate share of impressions at a lower effective CPC. Small observation, real commercial outcome. Paid search signals are worth watching closely.

Step Five: Assess Content Strategy and Thought Leadership

Content strategy reveals what a competitor believes about the buying experience in their market. A company investing heavily in educational content believes buyers do significant research before purchasing. A company with almost no content believes buyers decide quickly or are reached through other channels.

For Fieldwork’s competitors:

• Enterprise Co has a substantial blog, case studies, and webinars. It is investing in the full funnel. The content quality is competent but generic.
• Budget Tool has a sparse blog, mostly product announcements. It is not investing in thought leadership.
• AI Startup has a focused content programme around AI productivity, with a strong social presence. It is building an audience before it has a large customer base.
• Fieldwork has a blog that has not been updated in four months and three case studies from two years ago. It is not competing in content at all.

The content gap for Fieldwork is significant but also an opportunity. The construction sector is not well-served by genuinely useful, sector-specific content about project management. Most of what exists is either generic software marketing or trade press. A content programme built around the specific problems of construction project managers, delayed materials, subcontractor coordination, variation orders, site safety documentation, would find an underserved audience.

Understanding your audience deeply before producing content is not optional. Focus groups and qualitative research can surface the language and concerns that make content genuinely useful rather than generically informative. The construction PM audience has specific vocabulary and specific frustrations. Matching that is what separates content that gets shared from content that gets ignored.

Step Six: Review Pricing and Commercial Positioning

Pricing analysis in competitive intelligence is often shallow because most B2B companies do not publish pricing. But there are signals available even when the number is not visible.

For Fieldwork’s market:

• Budget Tool publishes pricing prominently. It is clearly competing on price and wants that signal visible before any conversation happens.
• Enterprise Co has a “contact sales” model with no published pricing. It is selling to procurement teams and is happy to be more expensive if it can justify value through the sales process.
• AI Startup has a freemium entry point and a paid tier. It is trying to build usage before monetising, which is a common but capital-intensive strategy.
• Fieldwork has a pricing page but it is buried in the navigation and the tiers are confusing. The pricing architecture does not reflect the value proposition.

Pricing architecture is itself a positioning signal. If you hide your pricing, you are signalling that you sell on value and relationships. If you lead with pricing, you are signalling that price is your competitive advantage. Fieldwork’s current approach signals neither clearly, which creates friction at the consideration stage.

Step Seven: Synthesise Into a Competitive Position Map

A competitive position map is not a 2×2 matrix with your logo in the top right corner. That version is what gets produced when the goal is to reassure leadership rather than inform strategy. A useful position map plots competitors on dimensions that actually reflect purchase decisions in the market.

For Fieldwork, the two most relevant axes are: sector specificity (generic to construction-specific) and buyer sophistication (self-serve to enterprise). Plotted on these axes:

• Enterprise Co sits in the enterprise quadrant but is generic. It serves large companies but not specifically construction ones.
• Budget Tool sits in the self-serve quadrant and is generic. It serves small teams who want cheap software.
• AI Startup sits in the self-serve quadrant with a slight lean toward construction, but its primary identity is technology, not sector.
• Fieldwork currently sits in the middle. It is construction-specific in product but not in marketing. It serves mid-market teams but its positioning does not reflect that.

The white space on this map is the construction-specific, mid-market quadrant. No competitor owns it clearly. Fieldwork has the product to own it. The gap is entirely in marketing and positioning.

This is the kind of insight that a competitive analysis should produce. Not “here is what everyone is doing” but “here is the specific position in the market that is underserved and that we are best placed to own.”

Step Eight: Translate the Analysis Into Specific Actions

Analysis without action is expensive research. Every competitive analysis should end with a prioritised list of decisions, not recommendations. The distinction matters. A recommendation says “consider improving the content programme.” A decision says “publish six construction-specific long-form articles in Q2, targeting these four keyword clusters, with this editorial brief.”

For Fieldwork, the analysis produces the following immediate actions:

• Rewrite homepage hero copy to lead with an outcome, not a feature description.
• Start bidding on branded terms to prevent Enterprise Co from capturing branded searches.
• Build a content programme targeting construction-specific project management search terms where no competitor has meaningful organic presence.
• Redesign the pricing page to make the mid-market tier the obvious default choice.
• Develop two or three customer case studies that speak specifically to construction project managers, not generic software buyers.

None of these actions require a significant budget increase. They require clarity about where to focus the existing budget. That clarity came from the analysis.

I have seen this pattern repeatedly across the agencies I ran. The businesses that got the most from competitive intelligence were not the ones with the biggest research budgets. They were the ones that treated analysis as an input to decisions rather than an output in itself. The document was never the point. The decision was.

How Often Should You Repeat This Analysis?

The full analysis described above, covering positioning, search, paid, content, and pricing, is a quarterly exercise at most for most businesses. Markets do not change fast enough to justify doing it more often, and the time cost of doing it properly is significant.

What should happen monthly is a lighter monitoring pass: check for new competitor content, watch for shifts in paid search spend, look for pricing changes or new product announcements. This does not need to be a formal document. A shared note or a brief team update is enough.

What should happen continuously is the cultural habit of noticing. When a team member sees a competitor ad, they should have a way to flag it. When a sales rep hears a competitor mentioned in a lost deal, that should feed back into the intelligence picture. Competitive intelligence is not a research project with a start and end date. It is an ongoing awareness that informs decisions at every level of the business.

Maintaining that awareness requires a clear process and someone who owns it. Without ownership, competitive intelligence becomes the thing everyone agrees is important and nobody actually does. I have watched this happen in organisations of every size. The solution is not more tools. It is assigning a person, giving them time, and making the output part of how decisions get made.

Understanding behavioural data alongside competitive signals is also worth building into your process. Hotjar’s comparison of behavioural analytics tools gives useful context on how UX intelligence can complement the competitive picture, particularly when you are trying to understand how users interact with competitor products or evaluate your own experience against theirs.

The One Thing Most Competitive Analyses Get Wrong

They focus entirely on what competitors are doing and ignore what competitors are not doing. The gaps are where the strategy lives.

In the Fieldwork example, the most valuable finding was not that Enterprise Co has a large content programme or that Budget Tool leads on price. Those things were expected. The valuable finding was that nobody in the category is leading with outcomes, nobody owns the construction-specific mid-market position in their marketing, and nobody is producing genuinely useful sector-specific content. Those are absences, not presences. But they are the things that should drive Fieldwork’s strategy.

When I grew an agency from 20 to 100 people and moved it from loss-making to a top-five position in its sector, the decisions that mattered most were not about matching what competitors offered. They were about identifying what the market needed that nobody was providing well. Competitive analysis was the tool that made those gaps visible. But only because we were looking for gaps, not just cataloguing what existed.

Building a personal brand or thought leadership position in a crowded market follows the same logic. Later’s overview of personal branding makes the point that differentiation comes from a specific point of view, not from doing what everyone else is doing slightly better. The same principle applies to business positioning. Competitive analysis is how you find the specific point of view that nobody else has claimed.

If you want to go deeper on how competitive research fits into a broader strategic planning process, the Market Research and Competitive Intel hub covers everything from tool selection and intelligence stacks to how to turn data into decisions that actually move commercial performance.

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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