NAMU CMMU study materials
NAMU CMMU study resources

NAMU CMMU cheat sheet

NAMU CMMU · Keep the key ideas within reach.

Quick reference

Marketing Management Fundamentals

  • Marketing mix = 4Ps: Product, Price, Place, Promotion; services extend to 7Ps adding People, Process, Physical evidence.

  • Exchange is the core condition of marketing: two or more parties, each with something of value, free to accept or reject, and able to communicate.

  • Needs are felt deprivations (physical, social, individual); wants are needs shaped by culture and personality; demand is wants backed by buying power.

  • STP sequence: segmentation → targeting → positioning; positioning precedes the rest of the mix, which is then designed to deliver it.

  • Product life cycle stages: introduction (low sales, negative profit), growth, maturity (peak sales, max competition), decline; strategy changes per stage.

  • Ansoff matrix: market penetration (existing product/existing market), product development, market development, diversification (highest risk).

  • BCG matrix: stars (high growth, high share), cash cows (low growth, high share, fund others), question marks, dogs (low/low, divest or harvest).

  • Customer perceived value = total customer benefit − total customer cost; satisfaction = perceived performance vs. expectations.

  • Marketing concept vs. selling concept: selling pushes existing products; marketing starts from customer needs and works backward to the product.

Quick reference

Market Research and Consumer Behavior

  • Research process: define problem → design → collect data → analyze → report; the problem definition determines everything downstream.

  • Exploratory research (qualitative, flexible) suits unclear problems; descriptive research measures frequencies and associations; causal research tests cause-effect.

  • Primary data is collected for the current problem (surveys, observation, experiments); secondary data already exists (government statistics, internal records) and is cheaper but may not fit.

  • Probability sampling: simple random, systematic, stratified, cluster - every unit has a known nonzero chance of selection. Non-probability: convenience, judgment, quota, snowball.

  • Sample size is driven by desired confidence level, margin of error, and population variability - not by population size once the population is large.

  • Measurement scales: nominal (labels), ordinal (rank), interval (equal distances, no true zero), ratio (true zero). Only interval and ratio permit means and standard deviations.

  • Reliability = consistency of a measure; validity = it measures what it claims. A measure can be reliable but invalid, never valid but unreliable.

  • Consumer decision process: need recognition → information search → evaluation of alternatives → purchase → post-purchase behavior (dissonance, satisfaction, disposal).

  • Buying roles in the decision unit: initiator, influencer, decider, buyer, user; the DMU may differ from the target audience for communication.

Quick reference

Brand and Product Management

  • Brand equity is the differential value a brand name adds; Keller's CBBE pyramid: salience → performance/imagery → judgments/feelings → resonance.

  • Brand associations are stronger when distinctive, favorable, and consistently reinforced across touchpoints.

  • Brand architecture: house of brands, branded house, endorsed brands, hybrid; choice trades off focus vs. transfer of reputation.

  • Line stretching = lengthening an existing line (down-market, up-market, two-way); line filling = adding items within the current range.

  • Product levels: core benefit, actual product (features, design, quality, packaging), augmented product (warranty, delivery, installation).

  • Cannibalization is a risk of line extensions: new SKUs take sales from existing ones rather than adding incremental volume.

  • Brand positioning statement form: for [target], [brand] is the [frame of reference] that [point of difference] because [reason to believe].

  • Brand equity measurement: indirect (awareness, associations, attitudes) and direct (price premium, revenue premium, brand valuation models).

Quick reference

Digital Marketing and Social Media

  • Paid-owned-earned media framework: paid (ads), owned (site, app, email list), earned (shares, reviews, press) - integrate all three rather than optimizing one.

  • Funnel mapping: awareness (display, video, social), consideration (search, content, retargeting), conversion (landing pages, email), retention (CRM, loyalty).

  • Search: SEO earns organic visibility via relevance, crawlability, and authority; SEM buys position via auction with quality score affecting cost per click.

  • Quality score in paid search combines expected click-through rate, ad relevance, and landing page experience; higher score lowers cost and raises rank.

  • Email metrics: open rate, click-through rate (CTR), conversion rate, unsubscribe rate; deliverability depends on list hygiene and sender reputation.

  • Social media metrics distinguish reach (unique people), impressions (views), engagement rate = engagements / reach, and share of voice.

  • Content marketing logic: attract via useful content, capture contact, nurture with sequences, measure by pipeline contribution not vanity metrics.

  • Attribution models (last click, first click, linear, time decay, data-driven) assign conversion credit differently; last-click systematically undervalues upper-funnel work.

  • A/B testing requires one variable, random assignment, a pre-defined sample size, and a decision rule fixed before the test runs.

Quick reference

Sales and Channel Management

  • Channel levels: zero-level (direct), one-level (retailer), two-level (wholesaler + retailer); more levels mean less control and more margin stacking.

  • Channel conflict: vertical (different levels, e.g., manufacturer vs. dealer) vs. horizontal (same level, e.g., two dealers); multi-channel and omnichannel raise conflict risk.

  • Push strategy targets intermediaries with trade promotion and personal selling; pull strategy targets end users with advertising and demand creation.

  • Sales force sizing: workload approach = (accounts × calls per account × call length) / selling time available per rep.

  • Sales management cycle: territory design → quota setting → recruitment → training → motivation/compensation → performance evaluation.

  • Compensation design: straight salary (control, service focus) vs. straight commission (motivation, volume focus) vs. salary-plus-incentive (mixed).

  • Pipeline management: qualify with explicit criteria, forecast by stage-weighted value, and define stage exit criteria to avoid inflated forecasts.

  • Key account management concentrates resources on customers with high strategic value; RFM (recency, frequency, monetary) is a common prioritization input.

Quick reference

Marketing Analytics and Performance Measurement

  • ROI = (incremental profit − marketing investment) / marketing investment; incremental means net of what would have happened anyway.

  • ROAS = revenue attributable to campaign / campaign cost; unlike ROI it ignores margin, so ROAS > 1 can still be unprofitable.

  • Customer lifetime value (simplified) = average purchase value × purchase frequency × customer lifespan × margin; a discounted form uses CLV = margin per period / (churn rate + discount rate − growth rate).

  • CAC = total acquisition spend / new customers acquired; compare CAC with CLV, and payback period = CAC / monthly gross margin per customer.

  • Churn rate = customers lost in period / customers at start; retention rate = 1 − churn rate.

  • Cohort analysis tracks groups by acquisition period to separate genuine improvement from mix effects.

  • Incrementality testing (holdout groups, geo tests) answers whether the campaign caused the lift that attribution assigns to it.

  • Correlation is not causation; causal claims need randomization, control groups, or a credible natural experiment.

  • Dashboard hierarchy: one primary KPI, a few driver metrics, and diagnostic metrics; too many KPIs destroy decision value.

Quick reference

Integrated Marketing Communication

  • IMC principle: one consistent message and positioning across all touchpoints, with channel roles chosen by function, not habit.

  • AIDA model: Attention → Interest → Desire → Action; channels are assigned to the stage they can actually move.

  • Message strategy: cognitive (rational, features, price), affective (emotional, values), conative (behavioral, urgency). Match to involvement level.

  • Advertising budget methods: percentage of sales, competitive parity, objective-and-task (build the budget from the communication tasks required).

  • Media planning metrics: reach, frequency, impressions, GRP = reach % × average frequency, and effective frequency.

  • Sales promotion tools: discounts, coupons, sampling, contests, loyalty programs - fast short-term effect, risk of price-image erosion.

  • Public relations and publicity earn credibility at lower cost but offer less message control.

  • Pre-testing evaluates message before launch (copy tests); post-testing measures recall, attitude change, and sales lift after launch.

  • Communication budget should follow the buying cycle: long-cycle B2B needs sustained presence; impulse purchases favor reach bursts.

Quick reference

Marketing Strategy and Ethics

  • Porter's generic strategies: cost leadership, differentiation, focus; being stuck in the middle yields no defensible advantage.

  • Porter's five forces: supplier power, buyer power, threat of new entrants, threat of substitutes, rivalry - assess industry attractiveness.

  • SWOT is only useful when paired: strengths/weaknesses are internal, opportunities/threats external, and each pair generates strategy options.

  • Sustainable competitive advantage requires value, rarity, inimitability, and organizational support (VRIO).

  • Ethical frameworks in marketing: consequentialist (outcomes), deontological (duties and rights), virtue (character); disclosure and consent are baseline duties.

  • Unethical practices to recognize: deceptive claims, bait-and-switch, dark patterns, astroturfing, targeting vulnerable groups, greenwashing.

  • Data ethics: lawful basis for collection, purpose limitation, data minimization, transparency, and a right to opt out.

  • Regulatory landscape: consumer protection law, advertising standards on substantiation, and privacy regimes (e.g., GDPR) shape claims and data use.

  • Marketing plan structure: situation analysis → objectives (SMART) → strategy and segmentation → tactics and mix → budget → controls and contingency.