Threat Thermometer
Updated July 21, 2026
Visual ranking of top 10 competitors ordered by Competitor Coefficient scores, segmented into threat tiers.
Also known as: Competitor threat ranking
The threat thermometer is a prioritization artifact: a ranked, visual list of a company's top competitors, ordered from most to least dangerous by their Competitor Coefficient score, and grouped into threat tiers. The Competitor Coefficient behind each entry is a simple ratio: the share of sales opportunities a competitor showed up in, divided by the win rate against that competitor. A rival that appears in half of all deals and beats you 95 percent of the time scores far higher than one that surfaces occasionally and loses whenever it does. Ranking the top ten of those scores and drawing tier boundaries turns an unordered competitor list into a triage list, so monitoring depth and response effort can track actual revenue risk instead of gut feel or brand familiarity.\n\nThe threat thermometer was documented by the competitive-intelligence software vendor Crayon, presented as the companion visualization to its Competitor Coefficient metric. It is best understood as a specific, formula-driven implementation of the broader and independently practiced idea of competitor tiering, rather than an established academic framework or an industry standard with wide external attribution. Note that the same phrase has been used informally elsewhere for an unrelated High/Medium/Low scoring step on individual competitor activities; that is a different tool that happens to share the name.\n\nIn practice the thermometer is used by competitive-intelligence and revenue teams that already track win/loss outcomes and know which competitors appear in their pipeline. Its value is deciding where finite CI capacity goes: which rivals earn a maintained battlecard and frequent monitoring, and which get a lighter touch.
How the threat thermometer is built
Building a threat thermometer starts with the Competitor Coefficient for each competitor you can measure. The coefficient is the percentage of sales opportunities in which a given competitor was involved divided by your win rate against that competitor. Crayon's worked example: a competitor present in 50 percent of opportunities that you beat only 5 percent of the time scores 50 divided by 5, or 10, a high-threat reading, while one present in 20 percent of deals with a 10 percent win rate scores 2. The numerator captures how often a rival is in the room; the denominator penalizes the ones you struggle to beat.
With a coefficient in hand for each competitor, you rank the top ten from highest to lowest and plot them as a thermometer, hottest at the top. The final step is drawing tier boundaries across that ranking, so the ten names fall into a handful of bands. Each band is then assigned its own monitoring cadence and set of deliverables: the hottest tier might warrant a maintained battlecard, routine win/loss interviews, and frequent tracking, while cooler tiers get periodic check-ins.
Threat thermometer vs. the Competitor Coefficient
These two terms travel together and are easy to conflate, but they do different jobs. The Competitor Coefficient is the underlying per-competitor number: one score, one rival, derived from opportunity involvement and win rate. The threat thermometer is the artifact you build by collecting those scores for your top competitors, ranking them, and segmenting the ranking into tiers. One is the measurement; the other is the visualization and the triage decision that measurement feeds.
The distinction matters when you operationalize it. You can compute a coefficient for a single competitor in isolation, but a thermometer only makes sense across a set, because its whole purpose is relative prioritization, deciding who is hotter than whom and where to draw the line between tiers. A coefficient answers how threatening one competitor is; the thermometer answers which competitors deserve your CI budget this quarter.
How CI teams use it to allocate effort
The problem the threat thermometer addresses is finite attention. Most companies can name more competitors than they can seriously track, and effort tends to drift toward whoever is loudest or most familiar rather than whoever is actually costing deals. Ordering competitors by a coefficient that blends deal frequency with win rate pushes back on that, surfacing the rivals that are both common and hard to beat as the ones that most deserve deep work.
Once the tiers are set, the thermometer becomes a routing rule for CI deliverables. Top-tier competitors justify the expensive, high-maintenance outputs: living battlecards, structured win/loss interviews, and close monitoring of their websites, pricing pages, and hiring, while lower tiers are handled with lighter, less frequent coverage. Because both inputs move over time, the thermometer is meant to be re-run rather than fixed: a competitor that starts winning more of your deals, or shows up in more of them, should climb, and continuous monitoring of public competitor signals is what keeps those inputs current between refreshes.
Limitations and cautions
The thermometer is only as trustworthy as the win/loss data underneath it. Opportunity-involvement and win-rate figures depend on sellers correctly logging which competitor was in a deal and how it ended, and CRM competitor fields are notoriously incomplete. Where deal counts against a given competitor are small, the coefficient becomes noisy: a handful of losses can swing a win rate enough to reorder the whole ranking, so the tiers should be read as directional rather than precise.
There are scope limits too. The coefficient is backward-looking, built from deals already fought, so it can be slow to flag an emerging competitor that has not yet shown up in the pipeline. It ranks named, pipeline-visible rivals and says nothing about broader environmental threats, which belong in tools like SWOT or PESTEL. And because the concept is a single-vendor coinage rather than a standardized framework, treat the specific formula as one reasonable weighting of frequency against win rate, not a settled measure of competitive danger.
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Frequently Asked Questions
What is a threat thermometer in competitive intelligence?
It is a visual, ranked list of a company's top competitors ordered by their Competitor Coefficient score and grouped into threat tiers. The goal is prioritization: it shows at a glance which rivals pose the most revenue risk so a CI team can concentrate its deepest monitoring and enablement on them rather than spreading effort evenly across every known competitor.
How is the Competitor Coefficient behind it calculated?
Take the share of sales opportunities where that competitor appeared and divide it by the rate at which you beat them. Crayon's illustration: a rival in 50 percent of deals that you win only 5 percent of the time lands at 10, while a competitor in 20 percent of deals who wins 10 percent of the time comes out at 2. A larger figure marks a rival that is both common in your pipeline and tough to defeat, and that is the value the ranking sorts on.
What is the difference between a threat thermometer and competitor tiering?
They overlap. General competitor tiering sorts rivals into Tier 1, 2, and 3 by deal frequency or strategic judgment, and multiple CI practitioners describe it independently. The threat thermometer is a specific, formula-driven version of that idea: it derives the ordering from a defined Competitor Coefficient and visualizes the top ten, rather than tiering by judgment alone.
How many competitors should the threat thermometer track?
The published version ranks the top ten competitors by coefficient. That cap is a feature, not a limit of the math: the point is to force a short, prioritized list that a team can realistically resource. Competitors beyond the top tier still exist and can be monitored lightly, but the thermometer deliberately concentrates attention on the few that most affect win rates.
Is the threat thermometer a standard industry framework?
No. It was documented by the CI vendor Crayon as the companion to its Competitor Coefficient metric, and usage is largely confined to that source. It is best treated as a specific vendor implementation of the broader competitor-tiering practice, not an academic model or a standard from a CI professional body. A different tool has been called by the same name informally elsewhere.
Related terms
Quantitative metric: percentage of sales opportunities involving a competitor divided by win rate against that competitor. Higher = greater threat.
Tier 1 CompetitorsThe 3-5 most frequently encountered competitors in sales opportunities, identified through CRM data.
Competitor SegmentationCategorizing competitors into tiers or groups based on criteria such as market share, strategic focus, target customer, or threat level.
Competitive Win RateWin rate broken down by specific competitor, showing how often you beat each rival.
Win/Loss AnalysisA structured post-deal research process analyzing won and lost deals to understand competitive dynamics, product gaps, and messaging effectiveness.
Importance ScoringAI-driven ranking system sorting competitive insights from high to low importance so teams see what matters first.
SWOT AnalysisEvaluates an organization's internal Strengths and Weaknesses alongside external Opportunities and Threats to align strategy with competitive reality.
TOWS MatrixExtension of SWOT that systematically generates strategic options by matching Strengths/Weaknesses with Opportunities/Threats across four quadrants.