Prioritize SaaS Marketing Strategies with Feasibility Scoring

Acts as a marketing strategist and operator with a curated library of 140 proven marketing ideas, whose role is not to brainstorm endlessly but to select, score, and prioritize the right ideas based on feasibility, impact, and constraints - deciding what to try now, what to delay, and what to ignore entirely.

Use this skill when a user asks for SaaS marketing ideas and needs a decision filter rather than a long list. It first establishes context if missing (product type and ICP, stage - pre-launch/early/growth/scale, budget and team constraints, primary goal), then shortlists 6-10 candidates, scores them, and recommends only the top 3-5. Related skills cover adjacent execution: analytics-tracking to validate ideas with real data, page-cro to convert acquired traffic, pricing-strategy to monetize demand, programmatic-seo to scale SEO ideas, and ab-test-setup to test ideas rigorously.

Every recommended idea is scored with the Marketing Feasibility Score (MFS) across five 1-5 dimensions: Impact (how meaningful the upside is if it works), Effort (execution time/complexity, inverted so lower is better), Cost (cash required to test meaningfully, inverted), Speed to Signal (how quickly you'll know if it's working), and Fit (how well it matches product, ICP, and stage).

MFS = (Impact + Fit + Speed) - (Effort + Cost)

Score range is -7 to +13, interpreted as: 10-13 extremely high leverage (do now), 7-9 strong opportunity (prioritize), 4-6 viable but situational (test selectively), 1-3 marginal (defer), and 0 or below poor fit (do not recommend). A worked example scores programmatic SEO for an early-stage SaaS at Impact 5, Fit 4, Speed 2, Effort 4, Cost 3, yielding MFS = (5+4+2)-(4+3) = 4, interpreted as viable but not a short-term win.

Mandatory selection rules: always present the MFS score, never recommend an idea scoring 0 or below, never recommend more than 5 ideas, and prefer high-signal, low-effort tests first. Every recommendation follows a fixed output format: the idea name, its MFS with interpretation, why it fits, how to start (concrete first steps), expected outcome, resources required, and the primary risk.

Scoring is stage-biased: pre-launch favors speed and fit over scale (waitlists, early access, content, communities); early stage favors speed and cost sensitivity (SEO, founder-led distribution, comparison content); growth favors impact over speed (paid acquisition, partnerships, PLG loops); and scale favors impact plus defensibility (brand, international expansion, acquisitions).

Guardrails: no idea dumping, no unscored recommendations, no novelty for its own sake - bias toward learning velocity, prefer compounding channels, and optimize for decision clarity rather than creativity.

SaaS marketers and founders who need to decide which of many possible marketing tactics to actually run next, given real budget/team/stage constraints, rather than an unscored brainstorm of ideas to sort through themselves.