Brand lifecycle diagnostic
Skill atrisorb/marketing-mastery-plugin/skills/brand-lifecycle-diagnostic
Diagnose which life stage a brand or product is in (pre-launch, introduction, growth, maturity, decline, revitalization) and route to the right marketing playbook for that stage. Use this FIRST whenever the user wants a marketing strategy, plan, or diagnosis for a specific brand — new or established — or asks "what should we do next", "where are we", "is our brand declining", "how do we relaunch", or wants stage-appropriate priorities. Also use when the user names a company/product and asks for any marketing help without specifying where they are in the lifecycle.From its SKILL.md
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Brand Lifecycle Diagnostic
The single most common mistake in applied marketing is running a playbook built for the wrong life stage: pouring money into awareness for a mature brand that actually has a retention problem, or optimizing churn for a product that has not yet found product-market fit. This skill diagnoses where a brand truly is and hands off to the stage-appropriate skills in the suite. Run it before any strategic work on a named brand.
Trigger
Use when the user asks for a marketing strategy, plan, audit, or "what to do next" for a specific brand or product, or when they describe a business situation (sales slowing, new launch, crowded market, relaunch) without stating the lifecycle stage. When in doubt about stage, run this first — every other skill in the suite behaves differently by stage.
Inputs
Gather what you can; infer the rest and state your assumptions. Do not block on missing data — a directional diagnosis from partial signals is the point.
- Brand / product — name, category, and what it sells
- Market type — B2B, B2C, or B2B2C; industrial/technical vs. consumer
- Business model — one-off product sale, subscription/SaaS, HaaS/as-a-service, service, platform (routes to different metrics)
- Age & traction signals — how long on market; revenue/units trend (growing fast, plateauing, declining); customer count trend
- Competitive signals — number of competitors entering or exiting; price pressure; substitutes appearing
- Margin & pricing signals — are prices/margins holding, rising, or eroding?
- What prompted the question — launch, stalled growth, new competitor, falling sales, board pressure, etc.
Diagnostic Process
Step 1 — Place the brand on the lifecycle curve
Score the signals against the stage table. The dominant pattern wins; brands often straddle two stages (e.g., "late growth tipping into maturity") — say so.
| Signal | Introduction | Growth | Maturity / Saturation | Decline |
|---|---|---|---|---|
| Sales trend | Low, slow, uncertain | Accelerating | Peaked, flat | Falling |
| Sales growth rate | Near zero → positive | High, rising | Slowing to ~0 | Negative |
| Competitors | Few / none | Increasing rapidly | Many, consolidating | Exiting |
| Prices / margins | High (skim) or low (penetrate) | Starting to fall | Under pressure, promotional | Depressed |
| Customer focus | Get them to try | Win preference vs. rivals | Build loyalty, defend share | Harvest or exit |
| Cash | Negative (investment) | Tightening then improving | Strong (cash cow) | Declining |
| Marketing job | Create awareness + trial | Differentiate + scale | Retain + efficiency | Milk, reposition, or retire |
Two pre-curve and off-curve states matter too:
- Pre-launch / concept — not yet on the market; the job is validation (problem-solution fit, value proposition, market sizing, launch plan). This is the true state for "nascent brands" the user hasn't launched.
- Revitalization / repositioning — a mature or declining brand deliberately re-entering growth via new uses, new segments, added services/functionality, or redesign. Not a natural stage — a chosen intervention.
Step 2 — Distinguish "stage" from "disease"
A falling metric does not always mean the lifecycle stage you'd guess. Separate the stage (structural position in the curve) from the disease (the fixable problem):
- Declining sales + product still fits market + weak nurture → retention disease in a mature brand, not decline. Route to retention, not relaunch.
- Flat sales + you have never crossed from early adopters to mainstream → the chasm (innovation stall), not maturity. Route to diffusion strategy.
- Great trial + poor repeat → activation/value-delivery disease, not an awareness problem. Do not buy more traffic.
- High churn + healthy acquisition in a subscription model → leaky-bucket; growth is an illusion. Route to retention + unit economics.
State the stage AND the most probable disease, because they drive different playbooks.
Step 3 — Read the market orientation
How the company thinks constrains what it can execute. Classify its dominant orientation and flag the gap to a market/customer orientation, since most stage transitions require moving toward the latter:
- Product/technology orientation — "we have excellent products, customers will notice." Common in engineering-led B2B; dangerous at maturity.
- Sales orientation — "we push volume." Short-termist; erodes brand at maturity.
- Market orientation — segments served with tailored offers; the default healthy state.
- Customer orientation — one-to-one, relationship-led; strong in B2B and subscription.
Step 4 — Assemble the diagnosis and route
Produce the diagnosis, then hand off to the specific suite skills that fit the stage (see routing table).
Stage → Playbook Routing
| Stage / State | Primary jobs | Route to these suite skills |
|---|---|---|
| Pre-launch / concept | Validate problem, size market, design value prop, plan launch | market-research-sizing, value-proposition-design, segmentation-targeting-positioning, new-product-launch-gtm, marketing-plan-builder |
| Introduction | Awareness, trial, early positioning, channel seeding | marketing-communications-plan, innovation-diffusion-strategy, pricing-strategy (skim vs. penetrate), distribution-channel-strategy |
| Growth | Differentiate, scale acquisition, cross the chasm, expand channels | segmentation-targeting-positioning, innovation-diffusion-strategy, customer-acquisition-retention, marketing-mix-planner |
| Maturity | Defend share, deepen loyalty, pricing discipline, efficiency | customer-acquisition-retention, pricing-strategy, market-environment-analysis (defensive), account-based-marketing (B2B) |
| Decline | Harvest, reposition, or exit; find new uses/segments | innovation-diffusion-strategy (new uses), circular-economy-marketing (new value models), pricing-strategy (defense/harvest) |
| Revitalization | Reposition, add services, enter adjacencies, redesign | value-proposition-design, segmentation-targeting-positioning (repositioning), digital-business-models (servitization), marketing-mix-planner |
| Any (context) | Understand structure, buyers, competitive forces | market-environment-analysis, b2b-buying-behavior (if B2B), saas-growth-metrics (if subscription) |
Reference: lifecycle nuances that change the call
- The curve is not destiny. Maturity can last decades (Coca-Cola) or a product can skip stages. Use the curve to choose emphasis, not to predict doom.
- Category vs. brand vs. product. A brand can be mature while a specific product line is in introduction, or vice versa. Diagnose the level the user actually cares about, and name it.
- B2B derived demand. In industrial markets, the brand's stage is often pulled by the customer's industry cycle. A supplier can be "declining" only because its customers' end-market is. Check the demand chain before concluding.
- Innovation ≠ growth stage automatically. A genuinely new-to-world innovation lives on the adoption curve (innovators → early adopters → chasm → majority), which is not the same as the sales lifecycle. If the offering is discontinuous, prefer
innovation-diffusion-strategyframing. - Subscription reshapes the curve. For SaaS/HaaS, "sales" is less informative than cohort retention and net revenue retention; a brand can look mature in logos but be growing in revenue (or vice versa). Pull
saas-growth-metrics.
Output
Present the diagnosis in this structure:
Lifecycle Diagnosis: [Brand]
- Stage: [stage, or "straddling X→Y"] — one-sentence justification tied to the strongest signals
- Most likely underlying issue ("disease"): [the fixable problem, distinct from the stage]
- Market orientation: [current] → [recommended shift, if any]
- Confidence: high / medium / low, with the 1-2 data points that would raise it
Stage-Appropriate Priorities (next 1-3)
Numbered, specific to this brand and stage — not generic. Each with the why (linked to a signal).
Recommended Playbook (routing)
The 2-4 suite skills to run next, in order, and what each will produce for this brand.
Watch-outs
1-3 stage-transition risks (e.g., "trial is fine but repeat is unproven — validate activation before scaling spend").
Follow-up
Ask: "Would you like me to:
- Run the top recommended skill now (e.g., build the STP, the launch plan, or the retention analysis)?
- Do a full market and competitive analysis to firm up the diagnosis?
- Build an integrated marketing plan that sequences all the stage-appropriate moves?"