📘 Segmentation: Lifecycle Marketing

What you’ll learn

1. Segmentation Fundamentals & BasesDefine market segmentation and correctly distinguish the demographic, geographic, psychographic, and behavioral bases used to form segments.Market segmentation divides a heterogeneous market into groups with similar needs or behaviors so each can be served with a tailored offer. The strategic idea traces to Wendell R. Smith's 1956 Journal of Marketing article, which framed segmentation as an alternative to product differentiation. Segments are formed using bases: demographic (who), geographic (where), psychographic (lifestyle/values), and behavioral (what customers do). Behavioral bases are often most predictive because they reflect revealed preference. Segmentation raises relevance and efficiency but adds cost and complexity, so granularity must be justified.
2. The STP FrameworkExplain the Segmentation-Targeting-Positioning sequence and correctly attribute its component ideas to their originators.STP is the backbone of strategic marketing: segment the market, target the segments worth serving, and position the offer distinctively in those customers' minds. Segmentation-as-strategy traces to Smith (1956); positioning is associated with Ries and Trout; Kotler popularized the integrated STP sequence in Marketing Management. Targeting evaluates segments on attractiveness and firm fit and selects a coverage strategy (undifferentiated, differentiated, concentrated, or micromarketing). Positioning is visualized with a perceptual map and expressed through the marketing mix. Although taught linearly, STP is iterative and should be revisited as markets shift.
3. RFM AnalysisCompute and interpret Recency, Frequency, and Monetary scores and map RFM segments to appropriate marketing actions while recognizing the method's limits.RFM is a behavioral segmentation method scoring customers on Recency (how recently they bought), Frequency (how often), and Monetary (how much they spent), using owned transaction data. It originated in catalog and direct-mail marketing—George Cullinan is commonly credited with promoting it in the early 1960s, and Bult and Wansbeek's 1995 Marketing Science article formalized direct-mail selection. A common implementation ranks customers into quintiles (1-5) on each dimension; note that recency rewards fewer days since purchase. RFM cells map to distinct actions (rewards, reactivation, cross-sell, onboarding) but are backward-looking and should be paired with predictive value models.
4. Behavioral & Lifecycle-Stage SegmentationSegment customers by behavior and lifecycle stage, match stage-appropriate messaging, and distinguish dynamic from static segments.Behavioral segmentation groups customers by occasion, benefits sought, user status, usage rate, and loyalty—observed actions that predict future behavior. Lifecycle segmentation groups by relationship stage (prospect, new, active, loyal, at-risk, lapsed, win-back), and each stage implies a different goal and message, so stage acts as routing logic. Early detection of at-risk customers via lengthening purchase gaps and falling frequency enables cheaper retention than win-back. Behavioral and lifecycle segments are dynamic and must be recomputed on a schedule, unlike static traits such as generation or region.
5. Value-Based Segmentation, Quality & PitfallsRank customers by customer lifetime value, apply Kotler's five criteria for effective segments, and identify over-segmentation and sparse-data pitfalls.Value-based segmentation groups customers by economic worth, centered on customer lifetime value (CLV)—predicted net profit from the whole relationship—often operationalized as deciles (ten equal ranked groups) to guide budget. Kotler and Keller's five criteria require segments to be measurable, substantial, accessible, differentiable, and actionable; failing any makes a scheme operationally useless. Over-segmentation multiplies cost while shrinking groups below useful size, and sparse data produce unstable scores requiring pooling or shrinkage. The right scheme depends on the marketing objective, and mature programs layer value tiers with lifecycle stages.
6. Guided Project: Segmentation Scheme + Targeting PlanProduce a portfolio artifact comprising a defensible segmentation scheme and a per-segment targeting plan for a chosen business.The project walks through five steps to build a portfolio artifact. First, frame the marketing objective and choose primary and descriptor bases. Second, build three to six named segments using methods like RFM quintiles or CLV deciles, each with a defining rule, size, and profile. Third, qualify segments against Kotler's five criteria and tag them dynamic or static, merging or dropping failures. Fourth, select targets on attractiveness and fit and choose a coverage strategy. Fifth, write executable per-segment plays with objective, positioning, channel/offer, trigger, and metric, then assemble everything with data limitations and a refresh cadence.

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