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If your sources are the same as your competitors', your insights probably are too. Aaron Cruikshank maps four categories of underused market signal sources and how to add two or three of them without drowning.

You don't need a formal brief before talking to a market intelligence firm. Aaron Cruikshank walks through what a good discovery call listens for, and why knowing that in advance gets you sharper, faster research.

Four decisions on most planning agendas need current market intelligence before they are approved. Aaron Cruikshank explains why each one gets harder to unwind the further it moves, and how to pressure-test it first.

Most organizations watch their market closely and still get surprised by it. Aaron Cruikshank explains the difference between monitoring and understanding, and the habits that turn a pile of alerts into judgment.

Most high-impact initiatives don't fail in execution, they fail before execution even starts. Aaron Cruikshank, president of CTRS Market Intelligence, breaks down why so many strategic plans are built on assumptions instead of evidence, and what leaders can do differently before they spend the money finding out the hard way.

Product teams should treat every feature request as one data point until it converges across independent sources. CTRS explains the two-axis roadmap filter: source independence, problem convergence, and market intelligence on changes no customer has raised.

Sales conversations contain market intelligence with a measurable dollar value, and most organizations discard that intelligence at the end of every deal. You can build a defensible estimate of what the discarded intelligence is costing you using data your CRM already holds with an afternoon of work. Your sales team already knows what your buyers are saying but no one is putting a dollar value on that intelligence. Who this is for: Sales leaders, revenue operations, and comme

Market intelligence does not belong to the strategy function alone, because raw signals only become intelligence when they are tied to a decision and held to a standard. Neither of those things happens where the signal is first heard. Who this is for: CFOs, COOs, heads of strategy, and functional leaders in organizations that have no formal market intelligence (MI) team and are trying to work out who should be responsible for building one. Key Takeaways Market intelligence (M

Starting market intelligence does not require a hire, a budget line, or a quieter quarter. CTRS outlines a first step sized at one recurring decision, one outside question, two hours a month, and one document.

A practical test for executives and strategy teams to tell a real market trend from market noise before committing resources to it. Most leadership teams I work with are inundated with signals and struggle to decide which ones matter. For many teams, every week brings more competitor announcements, another analyst prediction about the market, and another conference theme that someone insists will reshape the industry. Some of this signal is useful, but most of it is not. The

A five-step guide to building a trend monitoring system for your industry: define what to monitor, build a source stack, set a rhythm and owner, interpret signals, and connect them to decisions.

A practical guide for leaders on spotting market trends and emerging opportunities before competitors: where to look for early signals, how to turn them into decisions, and the traps that cause organizations to react late.

AI has genuinely changed market intelligence (MI) through faster data collection, broader source coverage, and more accessible synthesis, but five specific gaps remain between what AI produces and what leaders need to make confident decisions. This article identifies those five gaps, explains why they widen rather than shrink as AI improves, and outlines what it takes to close them. Who this is for: Senior leaders, strategists, and decision-makers evaluating how much of their

AI makes the first pass of market intelligence faster, but it cannot do the part that actually drives decisions: the judgment that connects a market finding to your specific organization. That gap is the story, and it is the part most AI content about market intelligence skips. This post explains what AI changes in market intelligence, what it leaves untouched, and how to use these tools without being misled by the polish of their output. Who this is for: senior leaders who k

Every major market decision rests on assumptions about what is true in the market right now, and most leadership teams never formally test whether those assumptions are still valid. These three questions provide a structured checkpoint to determine whether the information supporting a decision is current, well interpreted, and sufficient before resources are committed. Who this is for: CEOs, VPs of Strategy, and senior leaders responsible for market entry, product launches, r

The cost of ignoring market intelligence is paid at four specific points in the planning cycle. Here is where each one starts, and a checklist to run before your next planning session.

Market intelligence transforms business decisions by closing the gap between available data and confident action. Most organizations have more data than ever, yet strategic decisions still feel slow, contested, and risky. The missing piece is the interpretive layer that turns raw data into actionable recommendations and puts those recommendations in front of someone with the authority to act. Who this is for: Senior leaders, strategists, and decision-makers who have access to

Good market intelligence changes a specific decision before the money is committed. Here are nine CTRS projects where it did, from a $100 million reactor upgrade to a startup pitching investors.

A market intelligence gap shows up in the leadership meeting long before it shows up in the results. Here are five signs, a quick test for each, and a scorecard to run with your team.

Market intelligence is the ongoing organizational function of converting external market data into decision-relevant insight. This guide covers what MI is, how it differs from market research and competitive intelligence, the most common failure modes, and how leaders can build an effective MI function without overcomplicating it.