AgentsMédio

Retention Optimization

poreronred·eronred· v1.0.0 · atualizado em 2026-04-10

Score

When the user wants to reduce churn, improve user engagement, or increase lifetime value. Also use when the user mentions "retention", "churn", "users leaving", "engagement", "DAU/MAU", "user activation", or "why are users uninstalling". For onboarding-specific issues, see app-launch. For monetization, see monetization-strategy.

retentionuser-engagementchurn-reductionmobile-appgrowth-hackinguser-lifecycleapp-marketing

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Documento do Skill

SKILL.mdretention-optimization/workflow

1. Gather app category, monetization model, and current retention metrics.

2. Compare current retention metrics against industry benchmarks.

3. Diagnose issues in activation (Day 0-1), habit formation (Day 1-7), engagement deepening (Day 7-30), and long-term retention (Day 30+).

4. Recommend specific tactics for each stage of the user lifecycle.

5. Prioritize tactics based on potential impact and ease of implementation.

6. Create a detailed action plan with quick wins, high-impact initiatives, and strategic long-term goals.

7. Suggest push notification strategies and win-back campaigns.

8. Optimize the cancellation flow for subscription-based apps.

Telemetria de Agentes

Execuções

total

Taxa de Sucesso

últimos 30d

Latência Média

0.0s

p50

Alucinação

0.0%

detecção

Tokens Entrada

avg 0/exec

Tokens Saída

avg 0/exec

Uso por Plataforma

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Árvore do Skill

Retention Optimization

retention-optimization

Fases Cognitivas5

1.SENSE

2.CONTEXTUALIZE

3.HYPOTHESIZE

4.RECOMMEND

5.EVALUATE

Triggers10

how can I reduce churn?improve user retentionincrease user engagementwhat's our DAU/MAU ratio?why are users uninstalling my app?optimize user activationimprove lifetime valuewhat are some retention strategies?how to prevent users from leaving?what is a good retention rate for my app?

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Score Breakdown

⭐Avaliação Humana0%

🤖Sucesso de Agentes0%

🕐Atualidade100%

🔗Saúde de Dependências100%

🕸️Centralidade no Grafo0%

🛡️Segurança50%

CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

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Links

GitHub Repository