agentsclimarketplace

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

Install
npx -y skills add atrisorb/marketing-mastery-plugin --skill brand-lifecycle-diagnostic

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

9.4 KB, as published. Nobody here has run it

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.

  1. Brand / product — name, category, and what it sells
  2. Market type — B2B, B2C, or B2B2C; industrial/technical vs. consumer
  3. Business model — one-off product sale, subscription/SaaS, HaaS/as-a-service, service, platform (routes to different metrics)
  4. Age & traction signals — how long on market; revenue/units trend (growing fast, plateauing, declining); customer count trend
  5. Competitive signals — number of competitors entering or exiting; price pressure; substitutes appearing
  6. Margin & pricing signals — are prices/margins holding, rising, or eroding?
  7. 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.

SignalIntroductionGrowthMaturity / SaturationDecline
Sales trendLow, slow, uncertainAcceleratingPeaked, flatFalling
Sales growth rateNear zero → positiveHigh, risingSlowing to ~0Negative
CompetitorsFew / noneIncreasing rapidlyMany, consolidatingExiting
Prices / marginsHigh (skim) or low (penetrate)Starting to fallUnder pressure, promotionalDepressed
Customer focusGet them to tryWin preference vs. rivalsBuild loyalty, defend shareHarvest or exit
CashNegative (investment)Tightening then improvingStrong (cash cow)Declining
Marketing jobCreate awareness + trialDifferentiate + scaleRetain + efficiencyMilk, 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 / StatePrimary jobsRoute to these suite skills
Pre-launch / conceptValidate problem, size market, design value prop, plan launchmarket-research-sizing, value-proposition-design, segmentation-targeting-positioning, new-product-launch-gtm, marketing-plan-builder
IntroductionAwareness, trial, early positioning, channel seedingmarketing-communications-plan, innovation-diffusion-strategy, pricing-strategy (skim vs. penetrate), distribution-channel-strategy
GrowthDifferentiate, scale acquisition, cross the chasm, expand channelssegmentation-targeting-positioning, innovation-diffusion-strategy, customer-acquisition-retention, marketing-mix-planner
MaturityDefend share, deepen loyalty, pricing discipline, efficiencycustomer-acquisition-retention, pricing-strategy, market-environment-analysis (defensive), account-based-marketing (B2B)
DeclineHarvest, reposition, or exit; find new uses/segmentsinnovation-diffusion-strategy (new uses), circular-economy-marketing (new value models), pricing-strategy (defense/harvest)
RevitalizationReposition, add services, enter adjacencies, redesignvalue-proposition-design, segmentation-targeting-positioning (repositioning), digital-business-models (servitization), marketing-mix-planner
Any (context)Understand structure, buyers, competitive forcesmarket-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-strategy framing.
  • 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?"

Keep looking

Skills are one crate of 628,853. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.