Overview
Generate Section 05 of the business plan: the target market section. Use this skill to identify the highest-priority customer segments, show why they matter, and translate customer understanding into commercially useful profiles.
Use When
- Use when drafting or improving the target market section for a business plan or proposal.
- Use when the business needs specific customer segments, personas, buying logic, and segment priorities.
- Use when customer selection will affect channels, pricing, product choices, or financial assumptions.
Do Not Use When
- Do not use to perform full market sizing or industry trend analysis without the market-analysis skill.
- Do not create personas that are decorative but commercially useless.
- Do not claim certainty where the business only has hypotheses; label assumptions clearly.
Required Inputs
- Product or service definition, business model, and customer problem
- Available research, sales evidence, interviews, or assumptions about buyers
- Geographic and country context for demographics, behaviour, and purchasing power
- Any adjacent section outputs that influence customer profitability or route to market
Workflow
- Define the primary customer problem and the buyer most likely to pay for relief.
- Segment the market using multiple dimensions and prioritise the most bankable segments.
- Build personas that capture behaviour, purchase drivers, pain points, and economics.
- Estimate acquisition and lifetime value logic where the data supports it.
- Reconcile segment choices with market size, pricing, channels, and sales strategy.
- Flag unsupported assumptions or validation gaps that need testing.
Quality Bar
- Segments are specific enough to target, price, and sell to.
- Personas reflect buying behaviour and commercial value, not demographic theatre.
- Profitability and acquisition logic are transparent where estimates are used.
- Customer choices align with the rest of the plan.
Anti-Patterns
- "Everyone is a customer" segmentation.
- Personas with no purchasing authority, need, or ability to pay.
- Copying generic demographics without tying them to demand or revenue.
- Customer assumptions that contradict the offer, channel, or pricing model.
Outputs
- A finished or revised Section 05 target market draft
- Prioritised customer segments and personas
- Explicit assumptions and open questions for validation, marketing, and sales
Generate detailed customer profiles that prove the business understands exactly who will buy and why.
Required Elements
- Primary target segment The core customer group with quantified size
- Secondary segments Additional markets to pursue in priority order
- Customer personas (2-4) Detailed buyer profiles using template below
- Segmentation criteria Multi-dimensional market division (minimum 3 dimensions)
- Buyer behaviour How customers discover, evaluate, and purchase
- Customer pain points Specific, validated problems they need solved
- Purchase drivers What triggers a buying decision
- Generational profile Where target customers sit on Kotler's generational spectrum
- Customer acquisition cost (CAC) Estimated cost per channel
- Customer lifetime value (CLV) Projected revenue per customer over time
- CLV:CAC ratio Must exceed 3:1 for bankability
- Customer profitability analysis Segment-level profitability ranking
Customer Persona Template
For each persona:
Name: [Representative name]
Demographics: [Age, gender, income, location, education]
Generation: [Baby Boomer / Gen X / Millennial / Gen Z / Gen Alpha]
Role/Title: [If B2B]
Goals: [What they want to achieve be specific]
Pain points: [Frustrations with current solutions quantify impact]
Buying behaviour: [How they research and purchase]
Digital maturity: [Analogue / Digitising / Digital-first / AI-augmented]
Decision criteria: [Ranked: price, quality, speed, trust, values alignment]
Preferred channels: [Where they spend time, how to reach them]
Objections: [Why they might NOT buy and how to address each]
Estimated CLV: [Projected lifetime revenue from this persona]
Segmentation Framework
Apply minimum three dimensions from:
- Demographic Age, income, education, family size
- Geographic Region, urban/rural, climate, market access
- Psychographic Lifestyle, values, attitudes, personality
- Behavioural Usage rate, loyalty status, purchase occasion, benefits sought
- Firmographic (B2B) Industry, company size, revenue, decision-making structure
- Technographic Technology adoption level, digital channel preference, device usage
Generational Targeting (Kotler 6.0)
If target market includes Gen Z (born 1997-2012) or Gen Alpha (born 2013+), the plan must address:
- Social media as primary discovery channel
- Content authenticity over polished corporate messaging
- Personalisation capabilities in product and experience
- Values alignment (sustainability, diversity, ethics)
- Mobile-first and potentially immersive (AR/VR) experiences
Customer Economics
CLV Calculation
Simple CLV = Average purchase value x Purchase frequency x Customer lifespan
Full CLV = (Average revenue per customer per period x Gross margin %)
/ Customer churn rate
CLV with discount rate = Sum of [Margin x Retention rate^t / (1 + Discount rate)^t]
for t = 1 to expected lifespan
CAC Calculation
CAC = Total sales and marketing spend / Number of new customers acquired
Channel-specific CAC:
Paid ads CAC = Ad spend on channel / Customers acquired from channel
Content CAC = Content production cost / Customers attributed to content
Referral CAC = Referral incentive cost / Referred customers converted
CLV:CAC Benchmarks
| Ratio | Interpretation | Action |
|---|---|---|
| < 1:1 | Losing money on every customer | Unsustainable fix immediately |
| 1:1 - 3:1 | Marginal economics | Optimise acquisition or increase retention |
| 3:1 - 5:1 | Healthy unit economics | Bankable investors expect this range |
| > 5:1 | Strong but potentially under-investing | Consider increasing acquisition spend |
Customer Profitability Metrics (Farris)
Rank customer segments by profitability:
Customer Profit = Revenue from customer - Cost to serve customer
Customer Profitability % = Customer Profit / Revenue from customer x 100
Apply the 80/20 rule: identify whether top 20% of customers generate 80% of profit. Flag segments where cost-to-serve exceeds revenue.
Generation Process
- Ask for: product/service type, B2B or B2C, geography, price point
- Define primary and secondary segments using 3+ dimensions
- Identify generational profile and digital maturity of target customers
- Build 2-4 detailed personas with specific CLV estimates
- Map the buyer journey from awareness to purchase to advocacy
- Calculate CAC per channel with explicit assumptions
- Calculate CLV using appropriate formula for the business model
- Validate CLV:CAC ratio against benchmarks
- Rank segments by customer profitability
Quality Criteria
- Personas feel like real people, not demographic averages
- Segmentation uses minimum three criteria (not just demographics)
- CAC and CLV are calculated with stated assumptions
- CLV:CAC ratio exceeds 3:1 or explains the path to achieving it
- Generational characteristics are addressed if targeting Gen Z/Alpha
- Customer profitability analysis identifies most and least profitable segments
- Buyer journey maps specific touchpoints, not generic funnels
Problem Recognition Scale
Segment target customers by pain level to prioritise acquisition efforts (Blank & Dorf, 2012):
| Level | Customer State | Segment Value |
|---|---|---|
| Latent | Have the problem, don't know it | Low must educate first |
| Passive | Know the problem, not motivated | Medium need a trigger event |
| Active | Searching for a solution | High ready to evaluate |
| Vision | Built a workaround, will pay for better | Highest earlyvangelists |
Focus initial targeting on Active and Vision-level customers. See references/customer-discovery-archetypes.md.
B2B Customer Types
In business-to-business contexts, map all six types within the buying organisation (Blank & Dorf, 2012): End Users, Influencers, Recommenders, Economic Buyers, Decision-Makers, and Saboteurs. Each requires a different engagement approach. See references/customer-discovery-archetypes.md.
References
- The Underdog Principles small business competitive advantage: See
references/underdog-principles-kaza.mdfor the Positioning/Proximity/Purpose framework (why focused markets beat mass markets), consultative business case framework (5-question investment test), the 1015% borrowing rule, purpose drift warning signs, and the technology trap (automation destroying human connection) from Kaza (Unconvention, Ideapress, 2025). Read when defining the target niche, justifying premium pricing to a focused segment, or advising a founder on purpose alignment. - Customer profitability metrics: See
references/customer-metrics.mdfor CLV models, CAC calculations, retention economics, and customer profitability formulas from Farris and growth marketing frameworks - Buyer behaviour and personas: See
references/buyer-behaviour.mdfor generational buying patterns, digital maturity assessment, education-based marketing triggers, and the AARRR funnel applied to customer acquisition - Customer discovery archetypes: See
references/customer-discovery-archetypes.mdfor Customer Archetype framework with Day-in-the-Life analysis, Problem Recognition Scale for segmentation, six B2B customer types, three-tier stakeholder mapping, empathy-based interview methodology (8-category guide), Empathy Map synthesis, persona template, and current journey mapping from Blank & Dorf (2012), Cooper & Vlaskovits (2010), and Alam - ICP, segmentation, and retention economics (Umbrex, 2025): See
../07-marketing-sales-strategy/references/customer-retention-playbook.mdfor the 5-tier retention segmentation framework (structural/economic/behavioural/relationship/strategic), Ideal Customer Profile (ICP) 5-pillar validation checklist, High-Value Account (HVA) scoring template, 22 prioritisation matrix, and retention economics metrics (GRR, NRR, LTV/CAC, CAC payback). Read when segmenting customers beyond firmographics, scoring ICP fit, or calculating CLV/CAC with investor-grade metric definitions. - Advanced TAM/SAM/SOM methodology (Umbrex, 2025): See
../04-market-analysis/references/market-sizing-methodology.mdfor precise TAM/SAM/SOM definitions and funnel logic, 8 market boundary principles, bottom-up penetration modelling, SOM reasonableness rules, Rogers' diffusion model for adoption S-curves, and a Uganda TAM/SAM/SOM template in UGX. Read when building customer market size estimates or cross-checking SOM figures from a customer-base perspective. - Uganda consumer demographics (World Bank, 2025): See
references/uganda-consumer-demographics-2025.mdfor Uganda-specific consumer market data population 46M (>50% under-18, growing >3%/year, 104M projected by 2060); generational segments (Gen Z ~1012M, Millennials ~810M); NEET youth 5.25M (the "aspiring but income-constrained" segment); income quintile profiles (Q1Q5) with access patterns for health, education, financial services, and FMCG; urban/rural split (Kampala 1.797M; rural pop +54% by 2030); education literacy gap (57% of P6 pupils below literacy minimum design for low-literacy consumers); NCD-driven health product demand (NCDs rising to 37.3% of DALYs); social protection transfer recipients (2.43M) as emerging consumers; aspiration-versus-reality gap (youth want professional careers but 88% lack qualifications "affordable aspiration" brand positioning); regional market characteristics (Central/Western/Eastern/Northern/Karamoja); key market sizing numbers (working for pay 10M; annual new labour force 1.11.2M; multidimensional poverty 41.2%). Sources: World Bank UHCDGR 2025, UNPHC 2024, UBOS UNHS 2019/20, NAPE 2023. Read when building consumer personas, sizing the Uganda consumer market, determining price-point strategy, or selecting customer channels for any Uganda-based consumer or B2B business plan.