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This collection of prompts represents the cutting edge of Growth Hacking, meticulously designed to transform traditional marketing into an engine for rapid experimentation and exponential scaling. Each section has been structured following the AARRR framework and unicorn company methodologies, allowing founders and specialists to execute Product-Led Growth (PLG) strategies, programmatic SEO and advanced automation with unprecedented technical precision. By integrating these prompts into their workflow, growth teams will be able to unlock viral loops, optimize user retention, and maximize Customer Lifetime Value (LTV). It is an indispensable tool for those looking to master the North Star Metric and build sustainable procurement systems using the latest technologies in artificial intelligence, no-code and behavioral data analysis.
100 resources included
He acts as a Senior Growth Hacker with specialization in Behavioral Economics and Viral Loops. Your task is to design a high-impact bilateral referral system for [App/Product Name], rigorously based on the mechanics that scaled Dropbox from 100,000 to 4,000,000 users in just 15 months. The fundamental objective is to create an organic growth loop where the customer acquisition cost (CAC) is drastically reduced as the [Target Audience] invites its peers. Defines [Referral Incentive] and [Referral Incentive] with surgical precision. You must explain the psychological logic behind why these incentives represent the perfect “unit of value” for the product, ensuring that the reward is not a simple discount, but something that generates more frequent and deeper use of the platform. Structure a progression system where the user can visualize how much they have left to reach the [Storage/Reward Limit], using gamification elements such as progress bars and "reward pending" statuses to maximize the urgency and conversion of the invitation. Design detailed technical and UX/UI flow. Describe what the "Acceptance Landing" should be like for the new user, focusing on reducing cognitive friction and the time elapsed from clicking the link to obtaining the mutual benefit. Propose "Social Proof" strategies integrated into the invitation flow and advanced methods to mitigate fraud (system gaming) through minimum activity verification systems before releasing the prize, ensuring that the growth is of high quality. To conclude, deliver a comprehensive tactical execution plan that includes: 1. The design of the user-centered referral dashboard. 2. The key psychological triggers (Reciprocity, Consistency and Scarcity). 3. The mathematical model to calculate the [Main KPI] (Viral Coefficient) and how to iterate the loop based on the abandonment data at each stage of the viral funnel, optimizing the user lifecycle within [App/Product Name].
Acts as a Senior Tracking Specialist and Growth Engineer expert in Meta Ads measurement ecosystems. Your mission is to develop a detailed technical implementation plan for the Meta Conversions API (CAPI), integrated specifically for the platform [E-commerce Platform or CMS], in order to optimize attribution and improve the performance of Acquisition through Paid Advertising campaigns. First, define the necessary technical architecture using the [Connection Method: GTM Server-Side, Direct Integration or API Gateway] method. You must detail the logic for sending events from the server, ensuring that critical signals such as [Key Events: e.g. Purchase, Lead, CompleteRegistration] are captured. It includes the technical configuration for the generation and sending of the unique 'event_id', explaining how this parameter guarantees exact deduplication between the events triggered by the browser (Traditional Pixel) and the events sent via the server (CAPI). Second, develop a strategy to maximize Event Match Quality (EMQ). Details which user parameters must be normalized and hashed (SHA256) before being sent to Meta, including variables such as [User Variables: email, phone, IP, User Agent]. Explains how the inclusion of the 'fbp' and 'fbc' first-party cookies in the server payload will directly impact the accuracy of conversion attribution and the ability to re-impact users using browsers with third-party cookie restrictions. Third, establish a rigorous testing and validation protocol. Provides instructions on how to use the 'test_event_code' within the Meta Event Manager to verify the data flow in real time. Describes how to interpret event health diagnostics, how to troubleshoot common data format errors, and what monitoring metrics to configure in [Monitoring Tool] to receive alerts if the server data stream experiences drops or excessive latency. The ultimate goal is a robust data infrastructure that reduces CPA and allows you to scale ad spend with confidence.
He acts as a Senior Growth Analyst and Data Intelligence Specialist with more than 10 years of experience in scaling startups. Your goal is to process a set of raw data for the week from [Start Date] to [End Date] to generate a high-impact executive report that not only summarizes the numbers, but also extracts actionable insights and detects bottlenecks in the AARRR (Acquisiton, Activation, Retention, Revenue, Referral) funnel. To get started, look at the following key KPIs that I'll provide below: [Insert Acquisition Metrics like CAC, Impressions, Clicks], [Insert Conversion Metrics like Signup Rate, Checkout Rate], and [Insert Retention Metrics like Churn Rate or Estimated LTV]. Your analysis must compare this data against the previous period (Week-over-Week) and against the monthly objectives (OKRs) defined for this quarter: [Insert Quarter Objective]. Structure the final report into four critical sections. First, an 'Executive Summary' of maximum 3 sentences that defines whether the week was successful or not and why. Second, a 'Variation Table' that shows the % growth or decrease of each metric. Third, a 'Root Cause' analysis where you use first principles thinking to explain atypical fluctuations in the data (for example, if CAC went up, investigate whether it was due to creative fatigue or changes in the auction algorithm). Fourth, propose a 'Growth Action Plan' with 3 specific experiments (Growth Hacks) to execute next week, based exclusively on the weaknesses detected in the analyzed data. The tone of the report must be professional, direct and oriented towards decision-making by a CGO (Chief Growth Officer). Use technical digital marketing terminology and data analysis accurately. Be sure to identify the business' 'North Star Metric': [Insert North Star Metric] and explain how this week's performance directly impacts that long-term core metric. Don't ignore anomalies; If a data item seems out of the ordinary, highlight the possible measurement error or the external event that could have caused it.