What Is Competitive Intelligence and How to Build a Strategy

What is Competitive Intelligence?

Competitive intelligence is the process of gathering and analysing information about your competitors, your market, and the forces that shape your industry. It turns scattered data into answers you can act on. Businesses use it to make better decisions, reduce risk, and understand what is happening in their market before the consequences arrive.

What competitive intelligence covers

Competitive intelligence covers many aspects of business, the art of competing. But it usually covers topics such as competitor pricing, sales approaches, product direction, hiring activity, partnerships, and market positioning. It uses public and human sources, industry contacts, and primary fieldwork. The output is not a data dump. It is a clear answer to a question your business needs to resolve.

Good intelligence work covers three time horizons.

• What is happening now?
• What is likely to happen next?
• And what to do about it.

Or put simply:

“What’s happening in my market that’s going to affect me, and what are my competitors up to?”

Most market research only covers the first.

Primary research and secondary research

Secondary research uses published sources such as company websites, reports, press releases, job boards, trade publications and research databases. It gives you a visible picture. The picture everyone else can see, assuming they are looking.

Primary research involves direct contact with the market and with humans. That means speaking to buyers, former employees, sales teams, experts, channel partners, and industry insiders to find what published sources do not show. At Octopus, primary research sits at the centre of every project. It is where the most useful intelligence comes from. And it’s the intelligence that your competitors will not know and LLMs like Claudie will not be able to tell you.

What Is a Competitive Intelligence Strategy?

A competitive intelligence strategy is a clear plan for deciding what a business needs to know about competitors and markets, how it will find the information and how people will use the findings. It starts with the decisions the business needs to make. The team can then set intelligence questions, choose suitable sources and decide how often the findings need to be reviewed.

A useful competitive intelligence strategy keeps research linked to business decisions. It helps teams avoid collecting information that has no clear purpose. It also sets out who needs the intelligence, when they need it and what action they may take as a result.

What competitive intelligence is not

It is not the same as market research. Market research measures what customers think or want. Competitive intelligence focuses on what competitors are doing and what your market looks like from the outside.

It is not competitive monitoring either. Monitoring watches for changes. It is only a small part of competitive intelligence. It’s the easy part. Intelligence tells you what those changes mean and what to do about them.

Why businesses use competitive intelligence

The most common triggers are a major competitor move, a pricing problem, a new market entry, an investment decision, or a sales team that keeps losing to the same rival. Businesses also use competitive intelligence to test assumptions before committing budget to a product, campaign, or market.

The cost of acting on bad information will likely be higher than the cost of getting the right intelligence in the first place. And without the intelligence and not knowing what’s going on, it’s more likely that no decision is made. And you lose ground in your market.

How Octopus Intelligence works

Octopus is built by former British military intelligence analysts. Our methodology blends open-source research with HUMINT, the kind of human-led fieldwork that surfaces what your competitors would rather keep quiet.

We work across the SaaS, investment, healthcare, and industrial sectors, as well as in MENA markets. We have delivered competitive intelligence for businesses ranging from early-stage SaaS teams to global manufacturers.

Where to go next

• See our competitive intelligence services.
• Learn about B2B mystery shopping.
• Read our case studies.
• Visit the competitive intelligence FAQ.
• Browse the intelligence glossary.

If you have a question about a competitor or a market, we can help you answer it. Book a free consultation.

What is Competitive Intelligence and How to Do it Properly

Competitive intelligence is the finding & critical analysis of information to make sense of what’s happening & why. Predict what will happen & give the options to control the outcome. The insight to create more certainty & competitive advantage.

Understanding business competition insights is important. But what is competitive intelligence? It’s all about excellent questions. And we start with two questions regarding the comprehensive market competition analysis:

Question 1: Name the five best things your main competitor is good at.

Question 2: What are you going to do about them?

Easy right? What about the other competitors? Your future competitors? Your current and future markets? This is where intelligence is so powerful.

It’s knowledge about your competitors

Your market and your customers are not readily available. And, it’s the information you need to dig a little deeper to find, often in places people don’t want to share.

It’s asking the questions to get the answers you really want to know. Also, it helps you make decisions and take action relying on more certainty rather than guesswork and dated assumptions. Put simply, competitive intelligence allows you to avoid surprises, think more moves ahead of your rivals, and minimise uncertainty when you make business decisions. It allows you to see through or stay ahead of the competition and, in many cases, can be the unspoken, hidden key to success.

It answers the questions you need to know. Knowledge about your competitors, market and customers is not readily available. It’s the information you need to dig a little deeper to find, often open-source information that people don’t want to be shared. Intelligence can be used in several areas of your organisation and for your customers.

It also questions what you think you know. It explains why you need intelligence and how it can help you stay stronger, more agile, and fitter for the future.

So, what is Competitive Intelligence and how to do it properly

Most businesses know they should be tracking their competitors. Far fewer know how to do it in a way that produces answers worth acting on.

Competitive intelligence is the process of gathering and analysing information about your competitors, your market, and the forces shaping your industry. Done well, it turns scattered data into clear decisions. Done poorly, it produces expensive reports packed with charts that tell you nothing you did not already know.

This guide covers what competitive intelligence is, why it so often goes wrong, how to choose the right approach, and how to run a project from start to finish to produce real answers. It draws on twenty years of experience running competitive intelligence projects for B2B businesses across technology, investment, industrial, and MENA markets.

Before you start searching for information about your competitors, you need to understand what you are trying to learn, why you need to learn it, and what decisions it will support. Everything else follows from that.

What is competitive intelligence?

Competitive intelligence is the process of collecting, analysing, and interpreting information to gain a clear picture of your competitive environment. That includes competitors, markets, threats, and opportunities. It goes well beyond studying rivals. A properly run CI programme considers market forces, emerging trends, buyer behaviour, policy developments, supply chains, and the decisions your competitors are making before they become public.

Intelligence should create value by identifying opportunities and issues that would otherwise stay hidden. The goal is to provide decision-makers with accurate, timely information so they can act with confidence rather than guess.

Competitive intelligence and market intelligence are closely related. Competitor intelligence focuses on specific rivals. Market intelligence covers the wider environment in which they operate. In practice, most good CI projects address both, because what a competitor is doing and what the market is doing are rarely separate questions.

CI is also more than just monitoring. Monitoring watches for changes. Intelligence tells you what those changes mean and what you should do about them. A competitor changing their pricing is a signal. Intelligence tells you whether it is a tactical move or a sign of something more significant, and what your response must be.

The role of competitive intelligence in a business

Competitive intelligence gives decision-makers the information they need to act. It covers competitors’ products and services, pricing, marketing activity, distribution channels, customer choices, hiring patterns, and financial position. Knowing these factors lets you identify the gaps in their offering, anticipate their next move, and position your business to take the ground they are leaving undefended.

Intelligence also helps you prevent being surprised. A competitor about to launch a new product, change their sales approach, or enter a new market will leave signals before they act. The question is whether you have a process in place to notice them.

The most useful intelligence answers three time horizons. What is happening now? What is likely to happen next? And what to do about it. Most market research only answers the first question. Competitive intelligence addresses all three.

Why competitive intelligence so often goes wrong

Many businesses have been burned by competitive intelligence that delivered little. The reasons are consistent and worth understanding before you start.

The expensive report with nothing in it

Some firms commission work from large management consultancies or research houses. The reports come back with a prestigious logo, a lot of graphs, and very little substance. The analysis is thin, the conclusions could have been reached without the research, and the cost is high. The problem is not always the firm producing the report. It is often the case that the brief was never clear enough to produce something useful. You cannot get good intelligence from a vague question.

The platform that was supposed to solve everything

Others sign up for a competitive intelligence platform and assume the problem is solved. Platforms are useful tools. They track what is published: website changes, press releases, pricing updates, job postings, and news coverage. They surface signals at speed and at scale. But they cannot get into your competitors’ minds. They cannot tell you what is being said in sales calls, what a competitor is planning before it goes public, what a former employee knows about their product roadmap, or why a buyer chose someone else. They are a tool, not the answer. The analysis still needs to be done by a person who understands what they are looking for.

The in-house team that ends up doing monitoring

A third group runs competitive intelligence in-house without the process, access, or time to do it in depth. The result is usually a monitoring function that watches what competitors publish. That has value, but it is not intelligence. The gap between what a competitor says publicly and what they actually do is precisely where the most important intelligence lies.

The project that started without a clear question

The most common failure has nothing to do with tools or resources. It is starting a project before anyone has defined what needs to be found out. A competitive intelligence project without a specific question is a research exercise without a purpose. It produces information but not answers. The discipline of defining the question before starting the research is the single most important thing you can do to improve the quality of the output.

Three ways to approach competitive intelligence

When a business decides it needs competitive intelligence, it has three options. Each has genuine strengths. Understanding them clearly helps you choose the right approach for your situation.

Do it yourself

Building an internal CI capability provides you with ongoing intelligence closely integrated with decision-making. The team develops deep institutional knowledge of your market and your competitors over time. They understand the context that an external provider has to work hard to acquire.

The difficulties remain real. Developing and maintaining an in-house team necessitates considerable investment in people, time, and methodology. Internal teams can also develop blind spots. When you are close to a market, assumptions build up. You start interpreting evidence through what you already believe rather than questioning it. The team also faces a potential bias: internal researchers may unconsciously shape their findings to align with what the business wants to hear.

For most businesses, the in-house route makes sense as part of the overall picture, particularly for regular observation and tracking market changes. Deep primary research at the project level is harder to sustain internally.

Use a CI platform

Platforms provide a continuous stream of published signals. They process large volumes of information at speed, flag changes, and track competitor activity across multiple sources. They are the right tools for operational monitoring and for ensuring you do not miss publicly available signals.

Their limitation is the same as their strength. They work at the surface: what is published, what is public, what is already available. The most useful competitive intelligence comes from what is not public. Platforms cannot conduct primary research, cannot speak to buyers or former employees, and cannot tell you what competitors are doing before it becomes visible in published sources.

Employ platforms as part of a wider approach. They are not a replacement for human-led research.

Work with a competitive intelligence agency.

A good agency brings methodology, access, and the ability to conduct primary research that most businesses cannot replicate in-house. The combination of secondary research and HUMINT-led primary investigation produces a different quality of output than either approach alone.

An external agency can reach the parts of the market that internal teams cannot. They can speak to people that your team cannot be seen to approach. And they can ask questions in ways that would raise flags if they came from inside your organisation. They bring objectivity that internal teams often cannot sustain, and they can move at pace on a focused question without the overhead of running a permanent function.

The trade-offs are worth understanding. You have less direct control over methodology and data sources. There are confidentiality considerations when sharing sensitive context with an external party. Good agencies address both concerns directly and operate under a clear code of ethics. The right relationship is one where you remain close to the work, the brief is clear, and the findings come back as answers rather than data.

In most cases, the right answer is a combination of all three approaches: an internal monitoring function, a platform for signal tracking, and an agency for projects that require depth. The key is knowing what each approach is actually good at.

What competitive intelligence is used for

Supporting decisions

The main objective of a CI programme is to give decision-makers the information they need to make better choices. That applies to every level of the business: product direction, pricing, sales positioning, market entry, partnership decisions, and responses to competitor moves. When the board asks why a competitor is gaining ground, or whether a market is worth entering, or whether an acquisition target’s competitive position is as strong as claimed, those are intelligence questions. They need answers, not opinions.

The cost of acting on bad information is almost always higher than the cost of getting the right intelligence beforehand. Competitive intelligence is not an overhead. It is risk reduction.

Identifying opportunities and threats

By tracking competitor activity and market signals, CI surfaces where competitors are struggling, where buyers are underserved, and where market shifts create openings. It also flags threats that are not yet visible in public data: a new entrant gaining traction quietly, a technology change beginning to affect buyer behaviour, a regulatory shift that will reshape the market before most businesses have noticed.

The intelligence value here is not in affirming what you already think. It is in testing assumptions that have never been tested. Most businesses know their obvious competitors well. The threats that cause real damage tend to come from directions they were not watching.

Benchmarking your position

Understanding how your performance compares to competitors across pricing, product capability, customer satisfaction, market share, and growth rate gives you a clear picture of where you stand and where the gaps are. The goal of benchmarking is not to copy. Competitors are not always worth copying. The goal is to understand the gap clearly and decide whether to close it, go around it, or make it irrelevant.

Good benchmarking avoids a common trap: over-emphasising competitor capabilities or assuming that competitors think and act as you would in their position. They have different resources, varied constraints, different cultures, and different goals. Benchmarking should tell you where competitors perform better than you, not what you should become.

Know your own market before you start.

Before starting any competitive intelligence project, you need a clear picture of your own position. This sounds obvious. In practice, many businesses start a CI project without being able to answer basic questions about their own market accurately.

The right questions to work through before the research starts are:

• How well do you understand your sector? Which products and services do you compete on?
• How competitive is your market, honestly? Not how competitive you want it to be.
• How fast is it growing? What is driving that growth?
• How much market share do you hold? How confident are you in that estimate?
• What do you expect to happen in your market over the next two to three years?

If these questions are difficult to answer, or if the answers are based on assumptions that have not been tested in some time, that is the starting point for the intelligence work. Good CI begins with a clear view of what you know, what you do not know, and what you need to find out. The gap between those three things is your project brief.

Map your competitors before you research them.

Most businesses have a list of competitors in their heads. That list is usually incomplete and often out of date. Before you research competitors in depth, you need to define the full competitive landscape you are operating in.

The landscape has four types of competitors. Direct competitors sell the same product or service to the same buyers. Indirect competitors solve the same problem in a different way. Traditional competitors have been in the market for years and possess historical customer relationships. Potential disruptors are businesses or technologies that may reshape your market if they gain traction.

For each competitor type, the questions that matter are:

• Who are their target buyers? Who do they not sell to, and why?
• How many customers do they have?
• What is their approximate revenue and funding position?
• What are they best at? Where are they weakest?
• What market segments are they least comfortable competing in?
• What have they tried in this market that has not worked?

The competitors you do not know about are as important as the ones you do. A business entering your market quietly, or a technology shifting buyer behaviour without attracting press coverage, will not appear on anyone’s radar until the damage is done. Part of the value of competitive intelligence is identifying these upcoming threats before they become visible.

How to start a competitive intelligence project

Good competitive intelligence begins with a plan. The most important work happens before any research starts. Businesses that skip this stage tend to end up with a lot of information they cannot use and a project that has drifted from its original purpose.

Define the problem

The single most common failure in CI projects is starting to collect information before anyone has defined what question needs to be answered. A competitive intelligence professional, whether in-house or external, should be able to summarise the problem in one or two plain sentences. If it cannot be summarised that clearly, it has not been defined well enough to start.

The discipline here is to separate the problem from the symptoms. A sales team losing deals to one competitor is a symptom. The problem might be a pricing gap, a positioning weakness, a product feature, or how the competitor sells. Understanding the problem distinctly is what determines whether the intelligence will produce something useful.

The right questions at this stage:

• What is the decision that needs to be made?
• What is the decision-maker trying to accomplish?
• Who is the decision-maker?
• How can we reduce their uncertainty?
• What do we need to know to solve this problem?
• What are we going to do with the intelligence when we have it?
• What would change if the answer came back differently than we expect?

Write the problem down in one or two statements. Write down what the intelligence will not cover. Knowing what is out of scope is as important as knowing what is in scope.

Write the intelligence questions.

Once the problem is identified, write a focused set of intelligence questions. We recommend no more than six key questions per competitor or research area. Each question ought to be concise, clear, and designed to produce information that directly addresses the problem.

A well-written intelligence question passes five tests:

• It avoids a yes-or-no answer.
• A non-expert can understand it without explanation.
• It can be summarised in one sentence of no more than three lines.
• It is broad enough to cover what needs to be covered but narrow enough to give a useful answer.
• It directly addresses the decision-maker’s needs.

Questions that fail these tests tend to produce research that goes in too many directions at once. Broad questions lead to long reports with no clear conclusions. Narrow questions give you precision. Some questions will have sub-questions beneath them. That is fine. The discipline is to keep the main questions to a manageable number and ensure that each one connects to the problem you defined.

Identify the drivers

Drivers are the topics and factors that shape the answers to your intelligence questions. They are the subjects you need to understand in order to answer each question. Common drivers include leadership and management changes, hiring activity, pricing structure, product direction, sales approach, marketing activity, M&A activity, financial position, channel relationships, and customer base.

Agree on your drivers before research starts. An undefined driver list invites the researcher to drift. Create a list of between six and ten drivers that cover what you need to answer the questions. Every driver should connect to at least one question. If a driver does not connect to any question, remove it. Create a basket for each driver and add the related topics to it. This structure holds the research organised and makes the analysis more manageable.

Build a Statement of Work

A Statement of Work documents the agreed scope of the project. It covers the situation, intelligence questions, drivers, research approach, timeline, and deliverables. It makes certain that everyone agrees on what the project covers before any work begins.

A clear SOW follows a simple structure. The situation section states what is happening that has prompted the project. The mission section states what the project will do about it. The execution section lists the intelligence questions and drivers that will be addressed, along with the deadline. The actions section covers what happens if situations change during the project.

A good SOW prevents scope creep and provides both parties with a reference point when questions arise about what was and wasn’t included. Constant additions during a project cost time as well as lower quality. If something important emerges during research that was not part of the original plan, it should be scoped as a new project rather than added to the existing one.

Communicate throughout the project.

Open and regular communication between the client and the intelligence team throughout a project produces better output. Regular check-ins should not be status calls asking what has been found in the last two days. The more productive question is whether the research has identified any blind spots or access problems that might change the approach. Has anything emerged that suggests the original questions were framed incorrectly? Is there a driver that is proving more important than anticipated?

Communication should also cover what the agency cannot find. Knowing that certain information is not available, or that a source has declined to speak, is itself intelligence. It tells you something about the limits of what can be known and changes how confident you should be in the conclusions.

The communication should move towards a conclusion rather than a running update. Two days into a project, the question is not what has been found. The question is whether the research is on track to answer the questions posed.

How competitive intelligence research works

Competitive intelligence uses two main research methods. Secondary research draws on published and available sources. Primary research involves direct engagement with people (primary sources) who have knowledge relevant to the question. Both are necessary. Neither alone is sufficient.

Secondary research

Secondary research gives you a clear picture. It tells you what competitors are saying about themselves, what is being reported about them, and what signals their public activity sends. It is faster and cheaper than primary research and is the right starting point for any project.

The main secondary sources used in competitive intelligence are:

• Company websites, press releases, investor materials, and annual reports
• News and trade publications
• Job boards and recruitment activity, which signal investment priorities and capability gaps
• Patent filings and regulatory submissions
• Social media, LinkedIn, and professional network activity
• Databases and financial records
• OSINT techniques and structured Boolean search
• Industry reports and analyst commentary

The limitation of secondary research is that it only shows you what is already public. The most useful competitive intelligence comes from what is not public. Secondary research tells you what a competitor wants you to know. Primary research tells you what they would rather you not.

The Primary research

Primary research involves direct contact with people who have first-hand knowledge of the market. It is the part of CI that most monitoring tools and secondary-only approaches miss entirely. It is also where the intelligence that changes decisions comes from.

Primary sources include:

• Industry experts and analysts who cover your sector
• Current and former employees of competitors
• Recruiters active in the sector, who often have detailed knowledge of competitor structures and priorities
• Channel partners and distributors
• Industry association contacts
• Buyers and procurement professionals who have evaluated multiple vendors
• Consultants who work across the sector
• Trade show and industry event contacts

Primary research produces the intelligence that competitors would rather you did not have. It is where you find out what is actually happening inside a business, how a competitor sells and positions themselves in real conversations with buyers, what buyers actually think of the options in the market, and what is changing before it appears in any published source.

The focus of primary research should be insight, not volume. Three conversations that surface the right information are worth more than thirty that do not. Resist the temptation to set a target number of interviews. An agency focused on hitting an interview count will prioritise volume over quality. The right measure is whether the conversations answered the questions, not how many there were.

B2B mystery shopping

B2B mystery shopping is a specific type of primary research. It involves approaching competitors as prospective buyers and taking their sales process through to the point of a proposal or recommendation. The output is a first-hand account of how they pitch, price, handle objections, and talk about their competition.

This produces intelligence that your own sales team needs and rarely gets. You find out what competitors say about you in active sales situations, how they handle pricing pressure, what promises they make, where their sales process has gaps, and how they position against you when they think no one is watching.

You can read more about how Octopus approaches B2B mystery shopping, the process behind it, and what a typical project produces.

What do you already know, and what do you need to find out

Before any research begins, it is worth taking stock of what you already know about your competitors and the gaps that exist. This is not a conceptual exercise. The gap between what you know and what you need to know is the work the project has to do.

Competitive intelligence covers a wide range of areas. Across a typical competitor assessment, the categories worth reviewing are:

Market position and competitive dynamics

What do you know about each competitor’s market status, win rates, significant contract wins, and how they differentiate against you? Do you have an in-depth view of their product or service strengths and weaknesses relative to your own? Do you know what market segments they are least comfortable competing in and which they dominate? The answers to these questions shape how you compete and where you compete. If they are based on assumptions instead of evidence, the project has clear starting points.

Competitor intentions and direction

Understanding where a competitor is heading is more valuable than understanding where they are now. The signals to look at include changes in senior leadership, directors, or shareholders that signify a shift in direction. Annual reports and published materials reveal the strategic patterns that most businesses do not look for. M&A activity, as both target and acquirer, signals ambition and financial position. Hiring patterns tell you where they are investing and what capabilities they are building. A competitor adding sales roles in a new region is telling you something. A competitor hiring data scientists when they have no data product yet is telling you something else.

People and organisation

Knowledge of a competitor’s organisational structure, key personnel, and how they allocate decision-making power tells you how they will behave. A centralised business with a strong founder in the chair makes different decisions and at different speeds than a distributed management team. Knowing who holds real power over product changes, pricing, and commercial decisions is part of understanding how a competitor will respond to your moves.

Recruitment activity and staff turnover are reliable signals. High turnover in a competitor’s sales team often indicates internal problems before they become public. Rapid hiring in a specific function shows you where they are committing resources.

Financial position

Understanding a competitor’s financial status is foundational to assessing how much they can invest, how long they can sustain a pricing war, and how aggressive they can afford to be in sales. Financial research for competitive purposes includes reviewing published accounts, analysing revenue growth and profitability trends, assessing funding history and the current runway for funded businesses, and reviewing any available information on liabilities and financial management. A competitor under financial pressure behaves differently from one with strong backing. Understanding which situation you are in tells you a lot about what they will do next.

Corporate governance and reputation

Governance matters in competitive intelligence. A competitor’s membership of trade associations, conformance to industry standards, board composition, and any regulatory or legal issues affecting them are all relevant to understanding how they operate and where they are vulnerable. Buyers care about this. A competitor with a governance problem, a regulatory action pending, or a reputation issue they have not addressed publicly is giving up ground they may not realise they are losing.

How to analyse competitive intelligence

Collecting information is not competitive intelligence. Analysis is. The job of analysis is to examine the collected information, spot patterns and correlations, and answer the question the project was built to answer. Data tells you what happened. And analysis tells you what it means.

Analysis and synthesis

Analysis studies information to discover patterns, trends, and connections. It goes beyond presenting what was found and asks why things look the way they do. What does this pricing change actually signal? What does the hiring pattern tell you about product direction? And what does the change in sales leadership mean for how they will compete in the next twelve months?

Synthesis integrates information from multiple sources to build a coherent picture. It connects the dots between secondary research and primary conversations, between what a competitor says publicly and what people in the market say privately about them. Where the evidence from different sources points in the same direction, confidence increases. Where it conflicts, the analyst needs to understand why before drawing any conclusion.

Competitive intelligence analysts use a variety of analytical tools. The right one depends on the question. The wrong approach is to use tools as a substitute for thinking rather than as a support for it.

SWOT Analysis

SWOT maps a competitor’s strengths, weaknesses, opportunities, and threats. It is a useful starting point for organising what you know before deciding what to research. A common mistake is producing a SWOT from existing knowledge and treating it as an analysis. A SWOT that has not been tested against primary research is a list of assumptions, not intelligence.

Porter’s Five Forces

Five Forces maps the competitive forces shaping an industry: competitive rivalry, supplier power, buyer power, the threat of substitutes, and the threat of new entrants. It helps you assess how attractive a market is and where the pressure is coming from. It is most useful for market-entry assessments and for understanding the structural dynamics that determine how much pricing power any competitor can sustain.

PESTEL Analysis

PESTEL examines the macro-environmental factors affecting a business or market: political, economic, social, technological, environmental, and legal. It is useful for market-entry assessments and for understanding the context around competitor decisions. A regulatory change, a technology shift, or an economic pressure affecting the sector will affect competitors differently depending on their size, financial position, and business model.

Competitor Profiling

A competitor profile builds a detailed picture of a specific rival: their products and services, pricing, market share, strengths, weaknesses, sales approach, and strategic intent. It is the foundation of most project-based CI work. A well-built profile combines secondary research with primary intelligence and is updated as new information arrives.

Benchmarking

Benchmarking compares your performance with competitors on specific metrics. The goal is not to copy. Competitors are not always worth copying, and copying puts you permanently one step behind. The goal is to understand the gap clearly so you can decide whether to close it, sidestep it, or make it irrelevant. Good benchmarking avoids the common trap of over-emphasising competitor capabilities or assuming they think and act as you would.

Growth Share Matrix

The Growth Share Matrix plots competitors across two dimensions: market share and market growth rate. It helps you visualise where competitors are investing and which parts of their portfolio they are managing for cash versus growth. The insight is in understanding where competitors are committing resources and where they are not, which tells you where they will be in three years if they continue on their current path.

Game Theory

Game theory applies logical models to predict how competitors will respond to specific moves, such as a price change, a product launch, an acquisition, or a new market entry. It is most useful when a business is about to take a significant action and wants to anticipate how key competitors will respond before committing. The question game theory asks is not what you want to do, but what the competitor is likely to do if you do it.

Blue Ocean Strategy

Blue Ocean thinking looks for market spaces that competitors are not contesting, rather than fighting for share in crowded existing markets. From a CI perspective, it is useful for identifying where competitors are not competing and why, and whether the absence of competition in a market segment is a genuine opportunity or a signal that the segment is less attractive than it appears.

Value Chain Analysis

Value chain analysis breaks down a competitor’s activities into the primary and support functions that create value for their customers. It helps you identify where they are stronger than you across specific parts of the business, and where cost-cutting or differentiation opportunities exist. It is particularly useful for the industrial and manufacturing sector intelligence, where operational differences between competitors have significant commercial implications.

Scenario Planning

Scenario planning creates multiple versions of how a market could develop, so decision-makers can prepare for more than one outcome. It is most useful when the market is genuinely uncertain, and the decisions being made are difficult to reverse. A well-built scenario plan does not predict the future. It creates a range of plausible futures, assigns rough probabilities, and identifies the early signals that would tell you which scenario is developing.

How to think clearly about what you find

Good analysis requires more than knowing which model to apply. It takes discipline to challenge your own conclusions before they become the project’s conclusions.

Test the hypothesis against its opposite.

Before accepting a conclusion, consider how likely it is that the evidence you have collected would appear if the conclusion were wrong. If a competitor has cut their price and you conclude they are under financial pressure, ask what else could explain the same behaviour. A price cut can also be a growth play, a response to a new entrant, or a deliberate move to force you into a margin decision. The evidence that seems to confirm one hypothesis may not discriminate between alternatives.

Assign rough probabilities to the conclusions you reach. If you believe the hypothesis is true with 70 per cent confidence, say so. Intelligence does not need to be certain to be useful. It needs to be honest about how certain it is.

Understand their endgame

The most useful analytical question about any competitor is: what are they trying to achieve, and what do they need to do to get there? Work backwards from where they are heading to understand the decisions they will make along the way. A competitor trying to reach profitability is making different decisions than one trying to grow revenue at any cost. A business under investor pressure to show growth in a specific market will behave differently from one with patient capital and a long time horizon. Understanding the endgame tells you more about future behaviour than understanding current actions.

Assume you might be wrong.

Build a habit of asking what you would expect to see if you were wrong. If the evidence looks the same whether you were right or wrong, the conclusion is not supported by the evidence. Intelligent conclusions that cannot be falsified are not conclusions at all. They are assertions.

How confident you are in an idea should change as new evidence arrives. If you were 70 per cent confident in a conclusion at the start of the project and the primary research has produced nothing which challenges it, your confidence might reasonably increase. If the primary research has produced conflicting signals, it should fall. Update the conclusions as the evidence develops, not after the project is complete.

Managing a competitive intelligence project

Timelines

A competitive intelligence project needs a definite timeline with milestones for data collection, analysis, and delivery. You should expect a substantive report within eight weeks of a project starting. Anything under four weeks for a research-led project that includes primary fieldwork is a signal that the work is being rushed. Primary research at depth takes time. Rushed research produces thin output, and thin output is worse than no output because it creates false confidence in conclusions that have not been tested properly.

Milestones should cover key data collection dates, analysis checkpoints, a draft review point, and the final delivery. Frequent check-ins are not regarding progress updates. They are about whether the research is producing what was expected and whether the approach needs to be adapted.

Risk assessment

Identify the project’s risks at the start. What information might not be available? Where might primary research run into access problems? What would change the scope if it emerged during the project? A good intelligence agency will flag these early and have a contingency approach. Knowing the risks in advance does not eliminate them, but it prevents them from derailing the project when they materialise.

Quality control

Data must be accurately collected, correctly attributed, and interpreted without bias. Regularly reviewing findings throughout the project, rather than only at the end, keeps the standard high. Multiple sources for each significant finding reduce the risk that a single unreliable contact will shape the conclusions. Where sources conflict, the conflict should be noted and explained.

Flexibility without scope creep

Markets and industries change during a project. New information may emerge that was not anticipated at the start. Both parties should be willing to adjust the approach when circumstances genuinely change. The discipline is in separating between adapting the approach to answer the first question better and expanding the scope because something interesting has come up. The latter is mission creep. Constant additions reduce the extent of what is already in the project and produce a wider but shallower output. New questions that really matter become a separate project.

What a good competitive intelligence report looks like

The output of a CI project is a report that provides decision-makers with the information they need to act. It is not a data repository. It is an answer. The report’s format should serve the question, not a template.

A good report follows a clear structure. It states what has happened or the current situation. It answers the intelligence questions that were set at the start. And it explains what those answers mean for the decision being made. It tells the decision-maker what is likely to happen next. And it makes clear what to do about it. The final section is often the hardest to write and the most important to read.

A clearly organised report with well-defined headings and a rational flow is essential. The executive summary presents the most significant findings first, directly tied to the intelligence questions in the brief. Senior decision-makers need a concise, high-level view that enables them to act. Operational teams need more detail. A good report addresses both without turning into a document that nobody reads past the first two pages.

Findings and analysis

Key findings should be backed by evidence and directly tied to the questions the project was built to answer. Findings that are interesting but do not address the brief belong in an appendix, not the main body. Avoid the tendency to include everything you found in order to demonstrate how much work was done. The value of the report lies in the quality of the analysis, not in the volume of content.

Data visualisation

Visual representations of data can explain complex information when carefully chosen. Charts and graphs that illustrate what prose cannot easily convey have a place. Graphs added as filler, or to make a report look more substantial, make it harder to read and less trustworthy. If a visualisation does not add understanding, remove it.

Recommendations

Recommendations should be specific and actionable. Each one should detail what to do, why, and the expected impact. Vague recommendations that could apply to any business in any situation are a sign that the analysis did not go deep enough. Specific recommendations require a clear understanding of the context to know what is and is not realistic for this business in this market.

What you do not know

A good report is honest about the limits of what was found. Every project has information gaps. Acknowledging them is not a weakness. It is a signal that the analysis is trustworthy. A report that presents everything with equal confidence, without acknowledging where the evidence was thin or where sources were unavailable, is a report to be sceptical of.

Report format

The structure of the report will vary by project, but a useful template for organising findings follows this sequence:

• Introduction and context: what prompted the project and what it set out to find.
• What has happened: the facts established by the research.
• What are the answers: the direct response to each intelligence question?
• What does it mean: the analytical interpretation of those answers for this business.
• What happens next: the likely development of the competitive situation.
• What to do about it: specific, actionable recommendations.

Before the report is signed off, apply a simple test to each conclusion. Can a non-expert understand it? Can it be summarised in one sentence of no more than three lines? Does it acknowledge what is not yet known? Is it time-stamped with a review date after which the conclusions should be revisited? If the answer to any of these is no, the section is not ready.

Post-project review

After the project, run a review to assess what worked, what could have been improved, and what intelligence the project produced in terms of actual decisions. Good intelligence leaves a trace. If the research produced no decisions, either the brief was wrong, the intelligence did not reach the right people, or the answer came back the same as the assumption and no action was needed. Understanding which of these is true improves the next project.

Feedback from both sides, the client and the agency, refines the process over time. Intelligence capability is cumulative. Each project relies on the last. Businesses that treat competitive intelligence as a one-off exercise rarely get as much from it as those who treat it as a continuous practice.

Ethics, compliance, and how to do CI properly

All competitive intelligence conducted by Octopus Intelligence complies with the SCIP Code of Ethics. Every method we use is legal and compliance-safe. We do not misrepresent our identity in ways that cause harm, nor do we obtain information through deception or illegal means.

This matters for two reasons.

The first is legal and reputational. Intelligence gathered through methods that would not withstand scrutiny is a liability. If a competitor, a regulator, or a client ever asks how information was obtained, the answer needs to be clean. Anything that cannot be explained clearly is a risk that the intelligence does not justify.

The second is quality. The idea that you need to operate unethically to get useful competitive intelligence is false. It is almost always a sign that the researcher lacks the technique to obtain the information they need through legitimate means. The most important competitive intelligence comes from people who are willing to share what they know. Getting those people to talk requires trust, not deception.

Ethical CI also means being transparent about what you do not know and where the evidence is thin. Inflating confidence in uncertain conclusions to give a report a cleaner story is a form of dishonesty with the people who are using the intelligence to make decisions. It costs them more than an honest acknowledgement of uncertainty ever would.

How Octopus Intelligence approaches competitive intelligence

Octopus Intelligence was built by former British military intelligence analysts. We apply the rigour and methodology of professional intelligence work to business problems. The same discipline that governs how military intelligence is collected, analysed, and acted on governs how we approach every client project.

Our analysts combine secondary research with HUMINT-led primary investigation. We find what competitors would rather you did not know. We do not use dashboards to answer questions that require people. And we do not produce reports full of charts and no conclusions.

Every project starts with a clearly defined question. It ends with a direct, evidence-based answer. The format of the output is designed for the decision-maker it is going to, not for a standard report template.

We have worked with SaaS teams, private equity and investment firms, industrial and manufacturing businesses, consultants, and law firms. We operate across the UK, the United States, and MENA markets, with a Dubai-based operation covering the Gulf. And we have delivered over 80 projects for clients ranging from early-stage teams to global organisations, including Samsung, Danone, and PwC.

Frequently Asked Questions (FAQs)

What is a competitive intelligence strategy?

A competitive intelligence strategy is a plan for deciding what a business needs to learn about competitors and markets, how it will gather the information and how the findings will support decisions.

How do you create a competitive intelligence strategy?

Start with the decision the business needs to make. Set clear intelligence questions, identify the competitors and market issues involved, choose suitable sources and decide who needs the findings.

What should a competitive intelligence strategy include?

It should include the business question, intelligence priorities, competitors or markets to study, research sources, review dates, reporting methods and the people responsible for acting on the findings.

Why does a business need a competitive intelligence strategy?

A clear plan stops teams from collecting large amounts of information without knowing why they need it. It keeps research linked to decisions and helps people focus on evidence that can change an outcome.

How often should a competitive intelligence strategy be reviewed?

Review it when business priorities change, a major competitor acts, a new market threat appears or existing intelligence questions have been answered. Some businesses also use fixed monthly or quarterly reviews.

What is the difference between competitive intelligence and a competitive intelligence strategy?

Competitive intelligence is the collection and analysis of information about competitors and markets. A competitive intelligence strategy sets out how, why and when the business will carry out that work.

How does Octopus Intelligence help businesses create a competitive intelligence strategy?

Octopus Intelligence helps clients define the questions they need answered, identify suitable information sources and gather primary and secondary evidence. Its analysts then explain what the findings mean for the client’s decisions.

Can AI create a competitive intelligence strategy?

AI can help organise information, suggest questions and review published material. Human judgement remains important when checking sources, speaking with people, testing assumptions and deciding what the findings mean for the business.

We are Octopus. The Global People-Powered Competitive Intelligence Agency.

Outsmart your competition. Make the unknown known. Octopus helps you gain clarity in complex markets. With clients and tentacles around the world, we deliver sharp, actionable competitive intelligence through a blend of deep primary (HUMINT) and secondary research. If you’re looking to make smarter decisions, beat the competition, and reduce uncertainty, we’re the partner you want on your side.

Please enable JavaScript in your browser to complete this form.

Name

Email Name

Email *

Submit

• X
• LinkedIn
• Instagram
• Threads
• Reddit
• Medium
• Facebook
• Bluesky