The easiest moment to understand a competitor’s strategy is once it has already made it public.
The product has launched. The campaign is live. The new market has been announced. The price has changed. The partnership is in the press.
By that point, however, there is not much left to anticipate.
There may have been other signals months earlier. New hires. A series of patents. A search for distributors in a country where the company did not operate. A shift in the language used on its website. An executive from a different industry. A seemingly marginal technology investment.
Taken individually, they say little. Put together, they can begin to reveal a strategy.
This is where Competitive Intelligence works: in the gap between what a competitor shows and what the available information already makes it possible to infer.
What Competitive Intelligence is
Competitive Intelligence, often abbreviated to CI, is the process through which an organisation gathers and interprets information about its competitive environment in order to reduce uncertainty and make better decisions.
The Strategic Consortium of Intelligence Professionals, one of the leading international organisations dedicated to the discipline, describes it as a tool that enables companies to understand in depth what has happened, what is happening and what could happen in their operating environment, with the aim of reducing strategic risk and recognising new opportunities.
Competitors are naturally a central part of this work. But observing them means looking beyond products, prices and advertising campaigns.
Effective Competitive Intelligence seeks to understand capabilities, priorities, constraints, investments, likely objectives and future direction. It tries to reconstruct a system.
Knowing that a competitor has cut its prices is therefore a piece of information.
Understanding why it can afford to, what objective it might be pursuing and how long it can sustain that choice is already an intelligence problem.
Competitor analysis and Competitive Intelligence are not the same thing
Traditional competitor analysis mainly captures a snapshot of a situation.
Who are the competitors? How much do their products cost? What services do they offer? How do they communicate? Which channels are they present on? What market share do they hold?
These are important questions.
Competitive Intelligence, however, adds a further dimension: movement.
A snapshot can tell us where a competitor stands today. A sequence of snapshots can begin to show us where it is heading.
It is a fundamental difference.
Imagine a company that, within a few months, starts hiring artificial intelligence specialists, acquires a small technology firm, changes some open roles in the product area and begins talking publicly about automation. None of these pieces of information, on its own, reveals the future strategy with certainty. Together, they build a hypothesis.
This is precisely the kind of connection Competitive Intelligence works on: it gathers evidence, builds scenarios and tries to establish which explanations best fit what is happening. It helps you reach the decision with fewer blind spots.
Competitive analysis becomes strategy
In 1980 Michael Porter published Competitive Strategy: Techniques for Analyzing Industries and Competitors, one of the texts that has most shaped the contemporary way of studying competition. His work broadened the focus from simply observing rival companies to the overall structure of the industry and the forces capable of determining its profitability. (Harvard Business School)
This perspective remains useful because it is a reminder of something easily forgotten.
The competitor that most resembles our company is not necessarily the most significant threat.
A new entrant can change the rules of the category. A substitute product can make the entire market less relevant. A distributor can gain greater bargaining power. A technology born elsewhere can shift customer expectations.
Watching only the brands on the same shelf therefore means seeing just part of the competitive landscape.
Competitive Intelligence widens the lens.
And this is precisely why it connects naturally with Marketing Intelligence: customers, market, competitors and external change belong to a single system that becomes far more legible once the information is brought together.
Where to find information on competitors
A surprising amount of strategic information is public.
The corporate website reveals products, priorities and language. Financial statements show investments, revenues and risks. Press releases disclose acquisitions and partnerships. Job postings indicate the skills the organisation is looking for. Patents can point to the technology areas being worked on. Conferences, interviews, investor presentations, catalogues, price lists, reviews, newsletters and social media profiles add further fragments.
Value, however, rarely lies in a single source.
A job advert for a Country Manager in Germany might mean little.
If, over the same period, the company registers a new German domain, recruits native-speaking sales staff and signs a logistics partnership in Central Europe, the interpretation changes.
The strength of CI comes from triangulation. The more independent pieces of information point in the same direction, the more substance a hypothesis gains.
This also demands an important discipline: always distinguishing what we know from what we infer.
An official document can be a fact. A possible international expansion pieced together from a series of clues remains a hypothesis, even when it seems highly plausible.
Confusing the two makes intelligence more dangerous than simple ignorance.
Weak signals come before big moves
In 1975 the strategy scholar Igor Ansoff devoted a celebrated paper to weak signals: faint signs that can anticipate significant change in environments marked by high uncertainty. The principle was to observe information that was still incomplete in order to prepare for possible “strategic surprises” before they became fully visible (California Management Review).
It is one of the most interesting concepts applied to Competitive Intelligence.
A consistent shift in language, offering and distribution can signal a new brand positioning. On the Bliss website, positioning is treated as a decision about the competitive and perceptual space an organisation chooses to occupy relative to its competitors and its audience’s needs.
There is, of course, a problem: many weak signals will stay weak.
Some will lead nowhere. That is why CI is not about reacting to every move, but about recognising patterns: several signals that, over time, begin to converge on the same possible explanation.
A competitor reveals its priorities even when it says nothing
The most revealing information is not always the information created to communicate.
A company reveals something about itself every time it allocates resources. Where it hires. Where it invests. Which products it discontinues. Which markets it exits.
A campaign can say what the company wants to tell. Resource allocation shows, more concretely, what it is prepared to spend on.
This makes Competitive Intelligence particularly useful in the Brand Strategy phases. Building a strategy also means understanding how defensible the space you want to occupy really is, which competitors could attack it and which market shifts could make it less relevant. Bliss’s own strategic approach, in fact, links positioning to the system’s ability to evolve as the market and competitive conditions change.
The value of competitive observation therefore emerges before the communication does.
While there is still time to change course.
Copying competitors is the worst way to use them
Constantly watching the competition creates a temptation: to do whatever seems to be working for others.
A competitor joins TikTok. We follow.
It launches a new feature. We add it.
It changes its tone of voice. We bring ours closer.
Repeated for long enough, this behaviour has a paradoxical effect: knowing our competitors ever better while steadily becoming more like them.
Competitive Intelligence should have the opposite effect.
Studying others also helps you understand where not to go.
If five competitors are converging on the same promise, there may be an opportunity elsewhere.
If the whole sector competes on price, a strategy based solely on further cuts can lead to a war that no one has an interest in winning.
If a competitor has resources, distribution or capabilities that cannot be replicated in the short term, copying its strategy means fighting on the ground that most favours it.
Intelligence gains value when it produces an original choice. Otherwise it remains benchmarking.
Competitive Intelligence and ethics
The word intelligence carries a common misconception. Competitive Intelligence and industrial espionage belong to different territories.
The professional discipline rests on the legal and ethical use of information. SCIP’s code explicitly calls for transparency, compliance with the law, integrity and respect for confidentiality in gathering and using competitive information. (SCIP: Code of Ethics)
This boundary is essential.
Public information can be analysed. A former employee should not become a means of obtaining confidential information belonging to their previous employer. Using a false identity to obtain confidential data violates the professional principles upheld by SCIP itself.
The quality of Competitive Intelligence also depends on the method used to build it.
An information advantage gained by breaking the law, confidentiality or trust can quickly turn into a legal and reputational risk.
Artificial intelligence changes the scale of Competitive Intelligence
An analyst can follow dozens of sources. Artificial intelligence makes it possible to monitor thousands.
Press releases, websites, reviews, reports, patents, news, transcripts, social media and documents can be gathered, classified and compared in timeframes that were once impossible. SCIP now offers dedicated training in AI-powered Competitive Intelligence, highlighting AI’s potential for monitoring, pattern identification and faster analysis, while keeping human strategic interpretation at the centre. (SCIP)
It is a significant shift.
A system can flag that a competitor is rapidly increasing job postings in a particular geographical area. It can compare hundreds of reviews and identify a recurring problem. It can detect changes in how often a company talks about a certain topic. But greater observational capacity also increases the risk of finding patterns where there is only noise.
AI therefore makes the distinction between data, evidence and interpretation even more important.
The same applies to Business Intelligence: the more analysis enters decision-making, the more important it becomes to understand how information is gathered, which hypotheses it supports and with what degree of reliability it should be used.
Artificial intelligence accelerates research. Responsibility for the conclusion remains.
From competitor to decision
Ultimately, the problem with Competitive Intelligence is above all what we do with what we know about our competitors.
The value emerges when that information shapes a decision.
If a competitor is preparing to enter our market, should we defend ourselves or leave it a space that holds little value for us? If a new entrant is changing the category’s business model, should we follow it or strengthen what makes ours different? If everyone is investing in the same technology, does that mean we must too, or that the asset will soon stop being a differentiator?
Information serves to create better conditions for formulating it. And this is where Competitive Intelligence also becomes useful in Brand Advisory work: reading the brand, the market and the competitive context turns fragmented elements into a basis for decisions, and allows a direction to be tested before it is translated into investment and execution.
The same principle applies to any organisation. A competitor observed closely can reveal a great deal about the future.
But its future remains its own. The task of strategy is to decide what to do with ours.
Domande frequenti
What is the difference between Competitive Intelligence and Marketing Intelligence?
Competitive Intelligence focuses more closely on the competitive environment: current and potential competitors, strategies, capabilities, investments and possible moves. Marketing Intelligence covers a broader scope, also including consumers, demand, trends and market shifts. The two disciplines overlap and, in a mature system, share many of the same sources.
Is Competitive Intelligence legal?
Yes, when it uses information gathered legally and ethically. Public sources, accessible databases, corporate communications, official documents, market observation and legitimately obtained information can all feed a CI process. Industrial espionage, theft of confidential information or misrepresentation of identity belong to entirely different territory. SCIP has its own code of ethics for the responsible gathering and use of information.
Which signals can reveal a competitor's strategy in advance?
Hiring, investments, acquisitions, patents, partnerships, pricing changes, new management capabilities, distribution expansion and shifts in language can all help build a hypothesis. None of these elements, in isolation, necessarily proves a future choice. Competitive Intelligence gains value when several independent signals are compared over time and begin to point in the same possible direction.