Compete Program Maturity Model
Updated July 21, 2026
Framework measuring CI program advancement through levels, from zero battlecards to executive decision-making influence.
Also known as: Competitive Enablement Maturity Model, Competitive Intelligence Maturity Model, CI Maturity Model
A compete program maturity model is a staged framework that describes how a competitive intelligence or competitive enablement program evolves from informal, ad-hoc activity toward something that measurably shapes revenue and executive strategy. Instead of judging a program by a single metric like battlecard count, it lays out a sequence of levels a team is expected to climb, each one gated by a concrete capability or milestone. The point is diagnostic: it gives a compete leader a honest snapshot of where the program actually stands and what work remains to move up.
The shape of these models borrows from the Capability Maturity Model lineage established for software engineering in the late 1980s by the Software Engineering Institute at Carnegie Mellon University, which popularized the idea of grading a function through levels running from initial (ad-hoc and reactive) up to optimizing (continuously improving). Academic competitive intelligence research has since adapted that pattern into proposed Competitive Intelligence Maturity Models, and CI software vendors have published their own operate-grade variants. The most cited practitioner version is Crayon's six-level Compete Program Maturity Model, which progresses from publishing a battlecard for one Tier 1 competitor, to full Tier 1 coverage, to 25 percent and then 50 percent monthly seller adoption, to a quarterly win-loss program, and finally to CI that influences executive decisions.
Compete leaders in B2B SaaS companies use these models as roadmap and benchmarking tools: to set the next quarter's program priorities, justify staffing and tooling requests, and explain to a CRO or head of product marketing why early investment in monitoring infrastructure pays off later in win-rate improvement and roadmap intelligence.
What a maturity model actually measures
Maturity models for a compete program track several dimensions at once, not just one. Coverage asks whether battlecards and competitive profiles exist for the competitors that show up in real deals, starting with Tier 1. Adoption asks whether sellers actually use those assets when a competitor is in the opportunity, usually measured as the share of reps touching a battlecard in a given month. Insight production asks whether the program generates structured win-loss findings on a regular cadence rather than anecdotally. Influence asks whether competitive intelligence reaches executive decisions in revenue, marketing, and product rather than stopping at the sales floor.
Levels are intentionally ordered so that earlier ones make later ones possible. Sustained adoption cannot be measured until coverage exists. A useful win-loss program cannot run until CRM data captures competitive losses cleanly. Executive influence rarely holds without recurring, quantified insight that leadership has come to expect.
How the levels are typically staged
Practitioner models such as Crayon's progress along an adoption staircase. The first levels are about existence: a battlecard is published for at least one Tier 1 competitor, then for every Tier 1 competitor. Middle levels are about usage: a quarter of reps touch battlecards monthly, then half. Upper levels are about insight and influence: a quarterly win-loss program reports quantitative and qualitative findings, and finally intelligence is used to shape executive decisions.
The underlying logic mirrors the classic Capability Maturity Model ladder, where progress means moving from ad-hoc work to repeatable, defined, managed, and optimizing practice. Compete-specific models translate those abstractions into CI milestones so a team of one can self-assess without a consulting engagement.
How CI teams use the model
A compete leader applies the model in three ways. As an audit, it produces an honest snapshot of the program by walking the levels and agreeing on the lowest unmet rung. As a planning tool, it sets the next quarter's focus, which is usually a single level's worth of work rather than a leap. As a stakeholder artifact, it gives revenue, marketing, and product leadership a shared vocabulary for why a program that today only owns battlecards needs later investment in win-loss interviews and a monitoring pipeline.
The model also helps separate symptoms from causes. Low battlecard views per competitive deal often traces back to a coverage gap upstream rather than a seller behavior problem; a maturity assessment surfaces that distinction.
Common mistakes and limitations
The most frequent failure is gaming the level. A team can clear a coverage or adoption milestone by counting marginal assets and counting any battlecard open as usage, which produces a higher score without a healthier program. Pair each level with an honest metric, not the easiest proxy.
A second mistake is treating the model as a goal rather than a map. Reaching the top level does not mean a program is done; it means the infrastructure exists to keep improving. The model is also weak on industry context: a five-person startup and a thousand-rep enterprise have very different definitions of 25 percent adoption. Use it as a sequencing guide, not an absolute benchmark across companies.
Where competitive monitoring fits in
Meetings about maturity often surface a gap that continuous monitoring is built to fill. The middle and upper levels depend on a flow of fresh competitor signals arriving without manual effort: pricing page changes, product and messaging updates, job postings that hint at roadmap direction, and press or funding events that change the competitive landscape. A platform like meertrack exists to feed that stream so a small compete team can spend its time analyzing and enabling rather than scraping. Without that substrate, advancing a level often stalls not for lack of intent but for lack of raw material.
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Frequently Asked Questions
What is a compete program maturity model?
It is a staged framework describing how a CI or competitive enablement program advances, from ad-hoc battlecard creation up to intelligence that shapes executive decisions. Each level is gated by a concrete capability such as Tier 1 battlecard coverage, seller adoption, a quarterly win-loss cadence, or executive influence, so a compete leader can self-assess and plan the next investment.
How many levels does the Crayon Compete Program Maturity Model have?
Six. The first two are about battlecard coverage of Tier 1 competitors, the next two about the share of sales reps using battlecards monthly, the fifth about a quarterly quantitative and qualitative win-loss program, and the sixth about using competitive intelligence to help executive leaders make decisions.
How is a compete maturity model different from a CI maturity model?
A competitive intelligence maturity model tends to be broader and more academic, scoring the intelligence function across dimensions like people, process, technology, and culture. A compete program maturity model is narrower and operator-focused, centered on sales enablement outcomes such as battlecard coverage, seller adoption, win-loss reporting, and executive influence over revenue decisions.
What is the origin of maturity models for competitive programs?
The pattern traces back to the Capability Maturity Model, which the Software Engineering Institute at Carnegie Mellon University created for software engineering in the late 1980s to grade a function from ad-hoc practice up to continuous optimization. Academic researchers have proposed competitive intelligence maturity models on that lineage, and CI vendors including Crayon have published operate-grade variants focused on compete programs.
What mistakes do teams make when using a maturity model?
The most common is gaming levels with easy proxies, such as counting any battlecard open as adoption or counting marginal assets as coverage. Another is treating the top level as a finish line rather than a baseline for continuous improvement. The model is also a poor cross-company benchmark without controlling for company size and segment.
Related terms
An organizational initiative to build and manage competitive analysis, enablement content, and intelligence distribution across the company.
CI ProgramA formally resourced initiative dedicated to gathering and distributing competitive insights across the organization.
Sales AdoptionMetric tracking whether sales teams actively use battlecards and reports.
MindshareThe degree to which CI resources are top-of-mind for users, ensuring they remember to use them when needed.
Win/Loss AnalysisA structured post-deal research process analyzing won and lost deals to understand competitive dynamics, product gaps, and messaging effectiveness.
Strategic Competitive IntelligenceLong-term CI addressing technological shifts, marketplace dynamics, and foundational competitive understanding.
CI StakeholdersInternal consumers of intelligence: sales, marketing, product, customer success, and executive teams.
Data FragmentationThe challenge of CI being dispersed across multiple sources requiring consolidation.