# Product Lifecycle Analysis Report — Output Template

## Executive Summary

**Analysis period**: [Start date] — [End date]
**Total products analyzed**: [N]
**Data source**: [Platform/export name]
**Classification granularity**: [SKU / Parent product / Product line]

### Portfolio Stage Distribution

| Stage | Product Count | % of Catalog | % of Revenue | % of Margin | Avg MoM Growth |
|---|---|---|---|---|---|
| Introduction | [N] | [%] | [%] | [%] | [%] |
| Growth | [N] | [%] | [%] | [%] | [%] |
| Maturity | [N] | [%] | [%] | [%] | [%] |
| Decline | [N] | [%] | [%] | [%] | [%] |

### Portfolio Health Assessment

| Metric | Value | Status |
|---|---|---|
| Revenue concentration in Maturity+Decline | [%] | [Healthy/Warning/Critical] |
| Growth pipeline coverage ratio | [x] | [Healthy/Warning/Critical] |
| Introduction-to-Growth graduation rate | [%] | [Above/Below benchmark] |
| Average time in Growth stage | [months] | [Above/Below benchmark] |
| Projected revenue gap (6-month horizon) | $[amount] | [Needs attention Y/N] |

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## Portfolio Lifecycle Map

| Rank | Product | Stage | Confidence | MoM Growth | Revenue % | Months in Stage | Trend | Key Action |
|---|---|---|---|---|---|---|---|---|
| 1 | [Name] | [Stage] | [H/M/L] | [%] | [%] | [N] | [↑↗→↘↓] | [One-line action] |

*Sort by stage (Intro → Growth → Maturity → Decline), then by revenue within each stage. Color-code: Introduction=blue, Growth=green, Maturity=amber, Decline=red.*

---

## Individual Product Strategy Briefs

For each product (or top N per stage):

### [Product Name] — [Stage] (Confidence: [H/M/L])
- **Stage diagnosis**: [3-5 supporting data points, e.g., "18% MoM growth, revenue at 45% of projected peak, accelerating velocity"]
- **Pricing approach**: [Specific pricing recommendation with rationale]
- **Marketing channels**: [Ranked list with budget allocation %]
- **Inventory posture**: [Build stock / Maintain / Draw down / Test quantities] with specific quantity guidance
- **Product development**: [Line extension / Refresh / Bundle / Sunset planning]
- **Financial projection**: $[amount] impact from recommended actions

---

## Transition Watch List

Products showing early indicators of stage shift:

| Product | Current Stage | Signal | Predicted Next Stage | Timeline | Preemptive Action |
|---|---|---|---|---|---|
| [Name] | Growth | Decelerating growth rate (3 consecutive months) | Maturity | 30-60 days | Shift budget from acquisition to retention |
| [Name] | Maturity | 2 months consecutive decline | Decline | 60-90 days | Begin exit planning, reduce inventory orders |
| [Name] | Introduction | Strong velocity exceeding Growth threshold | Growth | Immediate | Scale ad spend, increase inventory position |

---

## Category Breakdown

For each category/product line:

### [Category Name]
- **Product count**: [N] (Intro: [n], Growth: [n], Maturity: [n], Decline: [n])
- **Revenue contribution**: [%] of total
- **Category lifecycle position**: [Description — e.g., "Mature category with aging product mix"]
- **Key insight**: [One-sentence takeaway]
- **Priority action**: [Most impactful single action for this category]

---

## Methodology Notes

- **Classification model**: 4-stage (Introduction, Growth, Maturity, Decline)
- **Primary metrics used**: [MoM growth rate, revenue acceleration, peak distance, time since launch]
- **Confidence scoring**: High (12+ months data, clear pattern), Medium (6-11 months, moderate pattern), Low (<6 months or ambiguous)
- **Data exclusions**: [Products < 3 months old, test SKUs, seasonal adjustments applied, etc.]
- **External factors noted**: [Competitor launches, platform changes, market shifts]

---

## Next Steps

1. [ ] Review Decline product exit plans with procurement team
2. [ ] Reallocate marketing budget according to stage recommendations
3. [ ] Scale inventory for Growth products ahead of demand
4. [ ] Set 30-day review checkpoints for Transition Watch List products
5. [ ] Schedule re-analysis in [90 days] to track stage progressions