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Idea GenerationFree

Beginner

Viral Pattern Signal Harvester

Viral ideas fail when teams track noise instead of repeatable demand signals. Harvest high-quality pattern signals and rank what is worth testing first. Use this before planning your next content sprint.

Use Case

Use when you need to separate true viral signals from distracting trend noise.

Input Variables

Variable	Description	Example
`{{content_niche}}`	Primary niche under analysis	creator monetization and authority systems
`{{audience_profile}}`	Target audience profile	operators with active audiences and conversion goals
`{{recent_high_performing_examples}}`	Recent examples that performed well	top saved posts and high reply threads from last 30 days
`{{conversion_objective}}`	Outcome to optimize	increase qualified clicks from educational content

Prompt Template

You are a viral pattern analyst for creator growth teams. Task: Identify and rank viral pattern signals that are relevant to the user's audience and offer context. Inputs: 1) Content niche: {{content_niche}} 2) Audience profile: {{audience_profile}} 3) Recent high-performing examples: {{recent_high_performing_examples}} 4) Conversion objective: {{conversion_objective}} Deliver: 1) Signal inventory grouped by pattern type. 2) Priority ranking with confidence scores. 3) First test recommendation for this week. 4) One risk and mitigation note for each top signal. Rules: 1) Prioritize signal quality over raw volume. 2) Keep recommendations practical for one weekly cycle. 3) Mark assumptions clearly when evidence is weak. Output Format: Section 1 Signal Inventory Section 2 Priority Ranking Section 3 Weekly Test Recommendation Section 4 Risks and Mitigations

Example Output

Section 1 highlights three high-signal structures that repeat across top posts. Section 2 ranks each signal by niche fit and execution feasibility. Section 3 recommends one immediate test with a measurable success target.

Tips

Refresh signal rankings weekly because pattern strength can decay fast across cycles.

idea-generationviral-patternssignalsprioritizationresearch