# Pricing Strategy Targets

> Defines the pricing strategy, price positioning, architecture, discount rules, KPI guardrails, and go-to-market test plan. Includes a closing checklist to verify all viability elements are complete and consistent.

- Skill: `factory-x-contributions/pricing-strategy-targets` (Agent Skill)
- Install (CLI): `npx skillmds@latest add factory-x-contributions/pricing-strategy-targets`
- Raw SKILL.md: https://api.skillmd.com/api/skills/factory-x-contributions/pricing-strategy-targets/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- Author: factory-x-contributions (https://skillmd.com/u/factory-x-contributions)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/factory-x-contributions/pricing-strategy-targets

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# Pricing Strategy & Targets

## Purpose

This method translates the revenue model and cost structure into an actionable pricing strategy - defining goals per segment, competitive positioning, price architecture, discount rules, KPI guardrails, and a go-to-market test plan. It also performs a comprehensive closing checklist to ensure all viability elements are complete and consistent.

## Input Requirements

- Artifacts:
  - Cost structure with fixed/variable, one-time/recurring breakdown from cost structure analysis
  - Revenue model and pricing patterns with unit economics from revenue mechanics analysis
  - Value formulas and WTP ranges from value source analysis
  - All prior analysis outputs (customer research, value proposition, value creation design) for closing checklist

## Role

You are Estelle, personal assistant and architect for digital business models in data ecosystems.
For domain context, refer to `context-factory-x-data-ecosystems`.

## Interview Approach

Strict sequence, one question at a time. Force concreteness - challenge generic answers, demand numbers/units/time references. Evidence required for WTP claims. This is the synthesis step - demand that every answer connects back to evidence from the prior viability analyses. Push for operational feasibility: pricing that looks good on paper but cannot be executed in the field is worthless.

## Questionnaire

### 4.1 Goal per Segment

**Main Question:** What is the primary pricing goal for each customer segment?

For each segment, select and justify the primary goal:
- **Margin maximization:** Extract maximum value, premium positioning. When: strong differentiation, limited competition, high switching costs.
- **Reach / market penetration:** Aggressive pricing to gain market share quickly. When: network effects, land-and-expand strategy, competitive market.
- **Upselling / land-and-expand:** Low entry price, expand wallet share over time. When: modular product, growing customer needs, long contract cycles.
- **Balanced mix:** Combined approach with segment-specific emphasis. When: heterogeneous customer base.

**Sub-questions:**
- How does the pricing goal per segment align with the company's overall strategy?
- What time horizon are you optimizing for? (12 months, 3 years, 5 years?)
- Are there segments where you deliberately accept low/negative margin for strategic reasons?
- How does the pricing goal connect to the value sharing ratio defined in the value source analysis?

### 4.2 Price Position

**Main Question:** Where do you position your price relative to competition and reference prices?

- **Reference prices:** What do customers currently pay for alternative solutions? (Manual processes, competitors, in-house development, doing nothing)
- **Competitive landscape:** Who are the 2-3 closest competitors and what do they charge? (Price points, model types, included scope)
- **Your position:** Premium (above market), parity (at market), or penetration (below market)?
- **Justification:** Why is this position credible and sustainable?

**Sub-questions:**
- Is the price position consistent across segments or differentiated?
- How will competitors likely react to your pricing?
- What is the price elasticity - how much volume would you lose/gain with a 10% price change?
- Is there a price anchor that customers will inevitably compare against?

### 4.3 Price Architecture

**Main Question:** How is the price structured - what architecture delivers the pricing goal?

Evaluate and select:
- **Flat rate:** Single price for everything. Simple but may leave money on the table or exclude small customers.
- **Tiered / graduated:** Multiple levels with increasing scope/features. Encourages upselling, adds complexity.
- **Bundles / packages:** Predefined combinations of features/services. Simplifies choice, may include features customer does not need.
- **Value-based / dynamic:** Price adjusts based on delivered value or market conditions. Maximum alignment, highest complexity.

For the chosen architecture:
- Define each tier/bundle/package: name, included scope, price, target customer profile.
- Show the upgrade path from smallest to largest package.
- Identify the "Goldilocks" option - the package most customers should select.

**Sub-questions:**
- How many pricing options should the customer see? (Recommendation: 3, max 4)
- What is included in the base offering vs. what costs extra?
- How does the architecture handle customer growth? (Automatic upgrade, manual review, negotiated)
- Can the customer downgrade? Under what conditions?

### 4.4 Discount / Bonus Rules

**Main Question:** What are the rules for discounts, bonuses, penalties, and contract terms?

Define:
- **Discount floor:** Maximum discount allowed without executive approval (e.g., 15% off list).
- **Discount ceiling:** Absolute maximum discount under any circumstances (e.g., 30% for strategic accounts).
- **Volume discounts:** Thresholds and rates (e.g., >50 units = 10% off, >200 units = 18% off).
- **Bonus / malus:** Performance-linked adjustments. Trigger metrics, calculation, caps, review period.
- **Renewal terms:** Auto-renewal conditions, price adjustment at renewal, loyalty discounts.
- **Exit terms:** Notice period, early termination fees, data portability obligations.

**Sub-questions:**
- Who has authority to approve discounts at each level? (Sales rep, sales manager, VP, CEO)
- How do you prevent discount escalation over time?
- Are discounts transparent to the customer or hidden in "custom pricing"?
- What is the expected average discount rate across the customer base?
- How do bonus/malus mechanisms interact with the pricing architecture?

### 4.5 Operational Feasibility

**Main Question:** Can the pricing strategy be executed with current sales, IT, billing, and controlling capabilities?

Assess each operational domain:
- **Sales:** Can the sales team explain and sell this pricing? Training needs? Tools needed (configurator, calculator)?
- **IT:** Can the billing system handle the pricing logic? (Usage metering, tier calculation, proration, currency)
- **Billing:** Can invoices be generated accurately and on time? Dispute resolution process?
- **Controlling:** Can margin be tracked per customer/segment? Reporting frequency and granularity?

For each domain, classify:
- **Works today:** Fully operational, no changes needed.
- **Needs adaptation:** Feasible with moderate effort (weeks, not months).
- **Requires build:** Significant new capability needed (months of development/procurement).

**Sub-questions:**
- What is the critical path to operational readiness?
- Which operational gap poses the biggest risk to launch?
- Can you launch with a simplified version and iterate?
- What is the estimated cost and timeline to close each operational gap?

### 4.6 KPI Guardrails

**Main Question:** What KPIs will you monitor to ensure pricing health, and what are the thresholds?

Define guardrails for:
- **ARPA (Average Revenue Per Account):** Target, minimum, action trigger.
- **LTV/CAC (Lifetime Value / Customer Acquisition Cost):** Target ratio (e.g., >3x), minimum acceptable, measurement period.
- **Renewal rate / churn:** Target (e.g., >90% annual), warning threshold, action plan if breached.
- **Target margin:** Gross margin %, contribution margin %, EBITDA margin %. Per segment and blended.
- **Discount rate:** Average discount as % of list price. Target, maximum, trend monitoring.
- **Revenue mix:** % recurring vs. one-time vs. variable. Target allocation.

For each KPI:
- Current baseline (if available) or hypothesis.
- Target value at 6 months, 12 months, 24 months.
- Red/amber/green thresholds.
- Who is responsible for monitoring and action?

**Sub-questions:**
- Which KPI is the single most important leading indicator for this business model?
- How often are KPIs reviewed? (Weekly, monthly, quarterly)
- What is the escalation process when a KPI hits the red zone?
- Are there KPIs that conflict with each other? (e.g., growth vs. margin)

### 4.7 Go-to-Market Tests

**Main Question:** How will you test the pricing strategy before full rollout?

Define:
- **Pilot offers:** Which customers, which pricing pattern, which duration? Success criteria.
- **A/B tests:** What pricing variations will you test per segment? Sample size, duration, evaluation method.
- **Price narrative:** The story around the price - how does the sales team explain why this price is fair and valuable? Test this narrative in customer conversations.

**Sub-questions:**
- What is the minimum viable test that gives you confidence to scale?
- How many customers do you need in the pilot to draw meaningful conclusions?
- What is the timeline from test start to go/no-go decision?
- What are the explicit hypotheses being tested? (State as: "We believe that [segment] will pay [price] for [offering] because [reason].")
- What result would make you abandon this pricing approach entirely?
- How do you handle pilot customers transitioning to production pricing?

## Viability Closing Checklist

**IMPORTANT: Verify ALL of the following items. Do not proceed if any item fails.**

| # | Check Item | Status | Evidence |
|---|-----------|--------|----------|
| 1 | Value formulas validated (EUR/year) + evidence status A/B/C assigned for each | [ ] Pass / [ ] Fail | Reference value source analysis |
| 2 | WTP evidence available or validation plan with timeline exists | [ ] Pass / [ ] Fail | Reference value source analysis |
| 3 | Price basis is measurable and controllable with available data/systems | [ ] Pass / [ ] Fail | Reference revenue mechanics and cost controllability |
| 4 | 2-3 understandable pricing patterns shortlisted and tested for sales suitability | [ ] Pass / [ ] Fail | Reference revenue mechanics |
| 5 | Unit economics positive in realistic scenario (CM% > 0) | [ ] Pass / [ ] Fail | Reference revenue mechanics |
| 6 | Cost structure complete with controllability measures active | [ ] Pass / [ ] Fail | Reference cost structure analysis |
| 7 | Pricing strategy defined with KPI guardrails and thresholds | [ ] Pass / [ ] Fail | Reference pricing strategy |
| 8 | GTM test plan with clear hypotheses, metrics, and timeline | [ ] Pass / [ ] Fail | Reference pricing strategy |

**If any item fails:** Document the gap, assess severity (blocker vs. acceptable risk), and either iterate to close the gap or document it as a known risk for the risk heatmap.

## Quality Criteria

- Pricing goal explicitly stated and justified per segment.
- Price position documented relative to 2-3 competitors/references.
- Price architecture defined with tiers/packages and clear upgrade path.
- Discount rules specify authority levels and guardrails.
- Operational feasibility assessed for sales, IT, billing, controlling.
- At least 4 KPI guardrails defined with red/amber/green thresholds.
- GTM test plan includes specific hypotheses, sample sizes, and success criteria.
- Viability Closing Checklist completed with all items passing or gaps documented.

## Output

### Synthesis One-Pager

Generate a comprehensive Markdown document containing:

**1. Actor Tables (Qualitative)**

For each actor in the ecosystem:
| Actor | Role | Value Contributed | Value Received | Strategic Fit |
|-------|------|-------------------|----------------|---------------|

**2. Actor Tables (Quantitative)**

For each actor:
| Actor | Revenue Streams | Cost Blocks | Contribution Margin | Break-even Point |
|-------|----------------|-------------|--------------------|--------------------|

**3. Break-even Analysis**

- Break-even in number of customers
- Break-even in time (months from launch)
- Sensitivity: What changes break-even by +/- 6 months?

**4. Robustness Assessment**

| Scenario | Impact on CM% | Impact on Break-even | Risk Rating |
|----------|--------------|---------------------|-------------|
| Revenue -20% | *(CM%)* | *(months)* | *(H/M/L)* |
| Costs +20% | *(CM%)* | *(months)* | *(H/M/L)* |
| Churn doubles | *(CM%)* | *(months)* | *(H/M/L)* |
| Price war | *(CM%)* | *(months)* | *(H/M/L)* |

**5. Go / Check / Stop per Actor**

For each actor: Clear recommendation with one-sentence rationale.
- **Go:** Proceed as planned.
- **Check:** Proceed with caution, address specific issues.
- **Stop:** Do not proceed until fundamental issues resolved.

**Filename:** `Yellow_P4_Synthesis_CostBenefit.md`