ChatGPT prompts for Head of Growth

As a Head of Growth, you're responsible for driving sustainable, scalable growth across the entire customer lifecycle - from initial acquisition through expansion and retention. You operate at the intersection of marketing, sales, product, and data, using experimentation and analytics to identify the highest-impact growth levers.

This guide contains 12 powerful ChatGPT prompts specifically designed to help you build growth frameworks, optimize conversion funnels, design viral loops, implement product-led growth strategies, and create data-driven growth engines that compound over time.

How to get the most out of this guide

• Each prompt in this guide is structured to deliver maximum value with minimal setup time.
• Copy the prompts directly into ChatGPT, replace the placeholders with your specific data, and upload any required files.
• The prompts are designed to work within ChatGPT's current capabilities, including CSV analysis, growth metric modeling, and experimentation frameworks.
• For best results, approach these prompts with a hypothesis-driven mindset and use the follow-up suggestions to build systematic growth experimentation programs that compound results over time.

Growth Experimentation Framework & Testing Roadmap

Prompt

You are a growth experimentation expert with deep experience in building systematic testing programs for B2B SaaS companies. I need you to analyze our current growth metrics and design a comprehensive experimentation framework that identifies and validates high-impact growth opportunities.

**Current Growth Context:**
- Company stage: [insert: early-stage/growth-stage/scale-stage]
- Monthly growth rate: [insert percentage]%
- Primary growth metrics: [insert key metrics you're optimizing]
- Current monthly visitors/users: [insert numbers]
- Conversion funnel: [describe key conversion steps and rates]

**Growth Performance Data:**
"""
[Upload CSV with: Metric name, Current value, Historical trend (3-6 months), Conversion rates by stage, User segments, Acquisition channels, Retention cohorts, Expansion/upsell rates, Churn rates, Time-to-value metrics]
"""

**Growth Challenges & Hypotheses:**
- Biggest growth bottlenecks: [describe top 3 constraints]
- Underperforming areas: [identify lowest-converting stages]
- Untapped opportunities: [describe potential growth levers]
- Resource constraints: [describe team/budget limitations]
- Current experimentation maturity: [describe existing testing approach]

**Team & Resources:**
- Growth team size: [insert number and roles]
- Engineering support: [describe development capacity]
- Available tools: [list analytics, testing, and growth tools]
- Experimentation budget: $[insert monthly budget]

Create a comprehensive growth experimentation strategy:
1. Growth opportunity audit (highest-impact areas based on data analysis)
2. Experimentation framework design (hypothesis generation, prioritization, testing methodology)
3. Growth model and lever identification (key metrics, input drivers, compounding effects)
4. Testing roadmap with prioritized experiment backlog (ICE scoring: Impact, Confidence, Ease)
5. Conversion funnel optimization strategy (stage-by-stage improvement opportunities)
6. User segment-specific growth strategies (personalized approaches by cohort)
7. Cross-functional alignment framework (product, marketing, sales coordination)
8. Measurement and analytics setup (tracking, attribution, statistical significance)
9. Growth experimentation process and governance (weekly reviews, learning documentation)
10. 90-day implementation plan with specific experiments, success criteria, and resource allocation

Structure as a strategic growth playbook with specific experiment ideas, success metrics, and systematic testing processes.


Mandatory files and data needed

• Comprehensive growth metrics data including conversion funnels and user behavior
• Historical performance trends across key growth metrics (3-6 months minimum)
• User segmentation data and behavioral analytics
• Current experimentation approach and testing history

Optional files and data required

• Customer research and user interview insights about growth barriers
• Competitive analysis of growth strategies and tactics in your market
• Product usage analytics and feature adoption data
• Team capacity and resource allocation information

Why is it helpful

This transforms your growth efforts from random tactics to systematic, data-driven experimentation that compounds results over time. You'll identify the highest-impact growth levers and build a disciplined testing framework that validates assumptions before scaling investments, typically improving overall growth rates by 2-3x while reducing wasted effort on low-impact activities and creating predictable, repeatable growth processes.

10 ways to make the most out of this prompt

1. Create automated experiment tracking by building systems that monitor test performance and automatically flag winning variations for implementation
2. Build statistical significance calculators by implementing tools that ensure your experiments reach meaningful confidence levels before making decisions
3. Develop cross-team experiment coordination by creating workflows that align product, marketing, and sales experiments for maximum impact
4. Generate predictive growth modeling by using experiment results to forecast the impact of scaling successful tests
5. Create user segment experiment personalization by running different tests for different customer cohorts and personas
6. Build experimentation culture training by developing programs that teach hypothesis-driven thinking across your organization
7. Develop competitor experiment intelligence by monitoring competitor changes and testing counter-strategies
8. Generate product-market fit experiments by testing different value propositions and positioning approaches with target segments
9. Create viral coefficient optimization by systematically testing sharing mechanisms and referral program elements
10. Build growth attribution modeling by tracking how different experiments contribute to overall growth metrics and revenue impact

Product-Led Growth (PLG) Strategy & Implementation

Prompt

You are a product-led growth strategist who has successfully implemented PLG motions at companies like Slack, Notion, and Calendly. I need you to analyze our current product and user data to design a comprehensive PLG transformation strategy.

**Current Product Context:**
- Product type: [describe your B2B product]
- Current monetization model: [describe pricing and sales approach]
- User onboarding flow: [describe current new user experience]
- Time to first value: [insert current time for users to see value]
- Free trial/freemium model: [describe current approach or lack thereof]

**Product Usage Data:**
"""
[Upload CSV with: User ID, Signup date, Activation events completed, Feature usage patterns, Time to first value, Trial conversion rate, Upgrade date, Plan type, Expansion events, Referrals made, Churn date, User segment, Company size]
"""

**PLG Readiness Assessment:**
- Product stickiness: [describe how users currently engage]
- Viral potential: [describe sharing/collaboration features]
- Self-service capability: [describe user's ability to get value independently]
- Network effects: [describe how user value increases with more users]
- Current sales involvement: [describe when sales engages in customer journey]

**Business Context:**
- Current customer acquisition cost: $[insert CAC]
- Customer lifetime value: $[insert LTV]
- Monthly recurring revenue: $[insert MRR]
- Growth targets: [insert user and revenue goals]
- Competitive PLG landscape: [describe competitors using PLG approaches]

Develop a comprehensive PLG implementation strategy:
1. PLG readiness audit (product capabilities vs. PLG requirements gap analysis)
2. User journey optimization (signup to activation to expansion pathway design)
3. Freemium/trial strategy recommendations (what to give away, what to gate, upgrade triggers)
4. Product-qualified lead (PQL) scoring system (usage-based qualification criteria)
5. In-product growth mechanisms (viral loops, sharing features, collaboration drivers)
6. Onboarding and activation optimization (time-to-value reduction, success milestones)
7. Self-service expansion and upsell design (usage-based triggers, in-app upgrade flows)
8. Sales and product alignment (when to introduce human touch, PLG-to-sales handoff)
9. PLG metrics framework and dashboard design (activation, retention, expansion, viral metrics)
10. 6-month PLG transformation roadmap (feature development, process changes, team alignment)

Present as an executable PLG strategy with specific product requirements, process changes, and success metrics.


Mandatory files and data needed

• Product usage analytics with user behavior patterns and feature adoption
• Current conversion funnel data from signup to paid conversion
• User segmentation data and cohort analysis
• Existing pricing model and revenue metrics

Optional files and data required

• User research on product experience and value realization
• Competitive analysis of PLG strategies in your market
• Engineering team capacity and product roadmap priorities
• Customer support data on common user friction points and questions

Why is it helpful

This transforms your traditional sales-led approach into a scalable, product-driven growth engine that reduces customer acquisition costs while accelerating growth. You'll create a self-service experience that lets customers discover value and upgrade naturally, typically reducing CAC by 30-50% while improving user experience and enabling faster scaling without proportional increases in sales and marketing spend.

10 ways to make the most out of this prompt

1. Create behavioral user segmentation by analyzing usage patterns to identify different user journeys and optimization opportunities
2. Build in-product experimentation programs by designing A/B tests for onboarding flows, feature discovery, and upgrade prompts
3. Develop viral growth mechanisms by identifying and optimizing features that naturally encourage sharing and collaboration
4. Generate usage-based pricing models by aligning pricing with value delivery and user engagement patterns
5. Create automated user success programs by triggering guidance and support based on user behavior and progress milestones
6. Build predictive churn modeling by identifying early warning signs in product usage that indicate users at risk of churning
7. Develop expansion revenue automation by creating in-app experiences that drive users to upgrade based on usage patterns
8. Generate product-market fit validation by systematically testing different value propositions with different user segments
9. Create customer acquisition optimization by building referral programs and word-of-mouth mechanisms into the product experience
10. Build competitive differentiation by identifying unique PLG features that create switching costs and competitive moats

Viral Growth & Referral Program Design

Prompt

You are a viral growth expert who has designed referral programs and viral mechanisms for high-growth B2B companies. I need you to analyze our current user base and design viral growth strategies that turn customers into acquisition channels.

**Current Growth Context:**
- Organic vs. paid acquisition split: [insert current percentages]
- Word-of-mouth/referral attribution: [insert current percentage of growth]
- Network effects present: [describe any existing viral elements]
- User sharing behavior: [describe how users currently share or don't share]
- Customer satisfaction scores: [insert NPS or satisfaction metrics]

**User & Customer Data:**
"""
[Upload CSV with: User/Customer ID, Signup date, Referral source, Referrals made, Network size (contacts, team members), Sharing activity, Collaboration usage, Customer satisfaction score, Expansion history, Advocacy participation, Social media engagement]
"""

**Product Context:**
- Product collaboration features: [describe team/sharing capabilities]
- Content creation/sharing potential: [describe user-generated content opportunities]
- Network effects: [describe how value increases with more users]
- Brand strength and shareability: [describe brand recognition and appeal]
- Current referral mechanisms: [describe any existing referral features]

**Business Objectives:**
- Viral coefficient target: [insert desired viral coefficient]
- Referral conversion goals: [insert percentage goals]
- Cost per acquisition reduction target: [insert desired CAC reduction]
- User growth acceleration: [insert growth rate improvement goals]
- Revenue impact from viral growth: [insert revenue targets]

Create a comprehensive viral growth strategy:
1. Viral growth audit (current viral coefficient calculation, sharing behavior analysis)
2. Viral loop design and optimization (referral mechanisms, sharing triggers, reward structures)
3. Referral program strategy (incentive design, program mechanics, user experience flow)
4. Network effects amplification (product features that increase value with network size)
5. Content virality strategy (user-generated content, shareable assets, social proof)
6. Influencer and advocate program design (customer advocacy, thought leadership, testimonials)
7. Social sharing optimization (platform-specific strategies, sharing UX, tracking mechanisms)
8. Viral growth measurement framework (K-factor, viral coefficient, referral attribution)
9. Cross-channel viral integration (email, social, in-product, customer success touchpoints)
10. Implementation roadmap with A/B testing plan (feature development, program launch, optimization cycles)

Structure as a viral growth playbook with specific mechanisms, incentive structures, and measurement systems.


Mandatory files and data needed

• User behavior data including sharing patterns and network connections
• Customer satisfaction and loyalty metrics (NPS, retention rates)
• Current referral attribution and word-of-mouth tracking data
• User segmentation showing most engaged and satisfied customer cohorts

Optional files and data required

• Customer interview data about sharing motivations and barriers
• Competitive analysis of referral programs and viral strategies in your market
• Social media engagement and brand sentiment data
• Product usage patterns that correlate with sharing behavior

Why is it helpful

This creates a systematic approach to turning your satisfied customers into your most effective acquisition channel, reducing dependence on paid marketing while accelerating growth through trusted recommendations. You'll build viral mechanisms that compound over time, typically achieving viral coefficients of 0.3-0.8 while reducing customer acquisition costs and improving conversion rates through warm referrals and social proof.

10 ways to make the most out of this prompt

1. Create behavioral referral triggers by identifying user actions and milestones that correlate with high referral likelihood
2. Build dynamic incentive optimization by testing different reward structures for referrers and referees to maximize participation
3. Develop social proof amplification by systematically collecting and displaying customer success stories and testimonials
4. Generate network effect features by building product capabilities that increase value as more team members or contacts join
5. Create viral content strategies by enabling users to create and share valuable content that attracts new prospects
6. Build influencer identification systems by analyzing your customer base to identify potential advocates and thought leaders
7. Develop cross-platform viral integration by optimizing sharing experiences across email, social media, and messaging platforms
8. Generate competitive viral strategies by analyzing how referrals can help you win deals against competitors
9. Create viral loop optimization by systematically testing different steps in the referral process to reduce friction and increase completion
10. Build viral growth attribution by tracking the lifetime value impact of referred customers versus other acquisition channels

Growth Metrics Dashboard & North Star Framework

Prompt

You are a growth analytics expert who specializes in creating measurement frameworks that guide strategic decision-making for high-growth B2B companies. I need you to design a comprehensive growth metrics dashboard and North Star framework that aligns the entire organization around growth.

**Current Metrics Context:**
- Primary business model: [describe revenue model and key value drivers]
- Current growth stage: [early/growth/scale/mature]
- Key stakeholders: [describe who needs growth visibility]
- Current metrics tracked: [list existing KPIs and measurements]
- Reporting frequency: [describe current reporting cadence]

**Growth Performance Data:**
"""
[Upload CSV with: Date, Revenue, New customers acquired, Customer acquisition cost, Customer lifetime value, Monthly/Annual recurring revenue, Churn rate, Expansion revenue, User/usage metrics, Conversion rates by stage, Retention cohorts, Market share indicators]
"""

**Business Context:**
- Revenue targets: [insert growth goals]
- Market size and opportunity: [describe TAM/SAM/SOM]
- Competitive positioning: [describe market position]
- Funding/investment context: [describe investor expectations]
- Team structure: [describe org chart and growth responsibility distribution]

**Current Measurement Challenges:**
- Data silos and integration: [describe analytics challenges]
- Metric alignment across teams: [describe conflicting priorities]
- Leading vs. lagging indicators: [describe prediction vs. reporting balance]
- Action-oriented insights: [describe decision-making speed challenges]
- Executive communication: [describe stakeholder reporting needs]

Develop a comprehensive growth measurement strategy:
1. North Star Metric identification and framework (single metric that predicts long-term success)
2. Growth model decomposition (key input drivers and their mathematical relationships)
3. Leading indicator identification (metrics that predict future growth performance)
4. Cohort analysis and retention measurement framework (user lifecycle and value tracking)
5. Growth accounting methodology (new growth vs. expansion vs. resurrection vs. churn analysis)
6. Cross-functional metric alignment (shared KPIs across marketing, sales, product, and success teams)
7. Executive dashboard design (board-level metrics and investor communication framework)
8. Operational dashboard design (daily/weekly metrics for tactical decision-making)
9. Competitive benchmarking and market context integration
10. Growth forecasting and scenario planning models (predictive analytics and planning frameworks)

Present as a comprehensive measurement system with specific dashboard mockups and implementation procedures.


Mandatory files and data needed

• Historical growth metrics across all key business functions and customer lifecycle stages
• Current revenue and customer data with cohort breakdowns
• Existing metrics and KPI tracking systems documentation
• Business growth targets and strategic objectives

Optional files and data required

• Competitive benchmarking data and industry growth standards
• Investor or board reporting requirements and expectations
• Team-specific metric needs and current reporting inefficiencies
• Customer research on value realization and satisfaction drivers

Why is it helpful

This creates a unified measurement system that accelerates decision-making and aligns your entire organization around the metrics that actually drive sustainable growth. You'll eliminate metric confusion and conflicting priorities while building predictive insights that help you identify growth opportunities and problems before they impact revenue, typically improving execution speed by 40-50% through better data-driven decision making.

10 ways to make the most out of this prompt

1. Create automated growth alerts by setting up threshold-based notifications when key metrics move outside expected ranges or trends
2. Build predictive growth modeling by using historical data patterns to forecast future performance and identify potential issues early
3. Develop cohort-based insights by tracking customer groups over time to understand retention patterns and expansion opportunities
4. Generate competitive benchmarking by regularly comparing your growth metrics to industry standards and competitor performance
5. Create growth attribution analysis by understanding which activities and investments drive the most meaningful growth impact
6. Build scenario planning tools by modeling how changes in key inputs affect overall growth outcomes and strategic decisions
7. Develop team-specific scorecards by creating departmental dashboards that show how individual contributions impact overall growth
8. Generate investor-ready reporting by building automated updates that highlight growth performance and strategic progress
9. Create growth experiment tracking by measuring the impact of tests and initiatives on key North Star and supporting metrics
10. Build customer lifetime value optimization by tracking and improving the metrics that drive long-term customer value and retention

Customer Acquisition Cost (CAC) Optimization & Channel Efficiency

Prompt

You are a customer acquisition expert specializing in CAC optimization and channel efficiency for B2B growth. I need you to analyze our current acquisition performance and create a comprehensive strategy that reduces costs while improving lead quality and conversion rates.

**Current Acquisition Context:**
- Overall blended CAC: $[insert current CAC]
- Target CAC: $[insert goal]
- Customer Lifetime Value: $[insert LTV]
- Current LTV:CAC ratio: [insert current ratio]
- Payback period: [insert current payback time]

**Channel Performance Data:**
"""
[Upload CSV with: Channel name, Monthly spend, Leads generated, Customer acquisitions, CAC by channel, Conversion rate, Customer quality score, LTV by acquisition source, Payback period, Retention rates, Expansion rates, Time to value by channel]
"""

**Current Acquisition Mix:**
- Paid advertising: [insert spend percentage and performance]
- Content marketing: [insert investment and results]
- Sales development: [insert team size and performance]
- Partnerships: [insert partner channel performance]
- Product-led growth: [insert PLG contribution]
- Other channels: [list additional acquisition methods]

**Growth Constraints:**
- Budget limitations: [describe spending constraints]
- Channel saturation: [describe diminishing returns challenges]
- Market competition: [describe competitive pressure on acquisition costs]
- Quality vs. volume trade-offs: [describe current optimization challenges]

Create a comprehensive CAC optimization strategy:
1. Channel efficiency audit (cost-effectiveness analysis and ROI comparison by channel)
2. Customer acquisition funnel optimization (conversion rate improvement at each stage)
3. Channel mix optimization (budget reallocation based on efficiency and scalability)
4. Lead quality improvement (qualification criteria and scoring to reduce CAC waste)
5. Creative and messaging optimization (A/B testing to improve conversion rates and reduce costs)
6. Landing page and conversion optimization (reducing friction and improving user experience)
7. Referral and viral growth amplification (leveraging satisfied customers for lower-cost acquisition)
8. Partnership and channel development (new low-cost acquisition channel identification)
9. Retention-based CAC improvement (reducing churn to improve effective CAC and LTV ratios)
10. Measurement and attribution improvement (better tracking to optimize spend allocation)

Structure as a tactical CAC optimization playbook with specific cost reduction strategies and efficiency improvements.


Mandatory files and data needed

• Comprehensive customer acquisition data by channel with costs and conversion metrics
• Customer lifetime value analysis and retention data by acquisition source
• Current budget allocation and spending patterns across all acquisition channels
• Lead quality and conversion data showing the relationship between source and customer value

Optional files and data required

• Competitive intelligence on acquisition strategies and market CAC trends
• Customer research on acquisition preferences and channel effectiveness
• Sales team feedback on lead quality differences between acquisition channels
• Historical CAC trends and seasonal performance patterns

Why is it helpful

This systematically reduces your customer acquisition costs while improving the quality of customers you acquire, directly impacting your growth efficiency and profitability. You'll identify which channels deliver the best long-term customer value and optimize your entire acquisition strategy accordingly, typically reducing overall CAC by 25-40% while improving customer lifetime value and payback periods.

10 ways to make the most out of this prompt

1. Create dynamic budget allocation by building automated systems that shift spend to the highest-performing channels in real-time
2. Build predictive CAC modeling by forecasting how acquisition costs will change based on market conditions and competitive dynamics
3. Develop customer quality scoring by creating systems that predict which acquired customers will have the highest lifetime value
4. Generate creative performance optimization by systematically testing different messaging and creative approaches to improve conversion rates
5. Create cross-channel attribution modeling by understanding how different acquisition channels work together in the customer journey
6. Build seasonal CAC optimization by analyzing historical patterns and adjusting acquisition strategies for optimal cost efficiency
7. Develop partnership acquisition strategies by identifying and developing relationships that provide low-cost, high-quality customer acquisition
8. Generate competitive acquisition intelligence by monitoring competitor strategies and identifying opportunities for cost-effective differentiation
9. Create retention-driven CAC improvement by focusing acquisition efforts on channels that deliver customers with the highest retention rates
10. Build acquisition experiment frameworks by systematically testing new channels and approaches to expand your acquisition portfolio efficiently

Conversion Funnel Analysis & Optimization

Prompt

You are a conversion rate optimization expert with deep experience in B2B sales funnels and user journey optimization. I need you to analyze our current conversion performance and create a systematic optimization strategy that improves conversion rates at every stage of the customer journey.

**Current Funnel Performance:**
- Top of funnel traffic: [insert monthly visitors/leads]
- Overall conversion rate (visitor to customer): [insert percentage]%
- Key funnel stages: [describe your typical customer journey stages]
- Current stage conversion rates: [list conversion rates between each stage]
- Average time through funnel: [insert typical conversion timeline]

**Detailed Conversion Data:**
"""
[Upload CSV with: User ID, Traffic source, Funnel entry point, Stage progression dates, Actions completed at each stage, Drop-off points, Conversion outcome, Customer segment, Device type, Geographic location, Content consumed, Time spent at each stage]
"""

**Funnel Context:**
- Target audience segments: [describe different user types and their journeys]
- Product complexity: [describe sales cycle complexity and typical touchpoints]
- Competition and alternatives: [describe what users might choose instead]
- Value proposition: [describe key benefits and differentiation]
- Current optimization efforts: [describe existing CRO programs]

**Conversion Challenges:**
- Highest drop-off stages: [identify biggest leakage points]
- User experience friction: [describe known UX problems]
- Content and messaging gaps: [describe communication challenges]
- Technical performance issues: [describe speed or technical barriers]
- Attribution and tracking limitations: [describe measurement challenges]

Develop a comprehensive conversion optimization strategy:
1. Funnel performance audit (stage-by-stage conversion analysis with benchmarking)
2. User journey mapping and friction point identification (UX audit and pain point analysis)
3. Conversion rate optimization roadmap (prioritized testing and improvement opportunities)
4. Content and messaging optimization (value proposition clarity and persuasion improvements)
5. Technical optimization (page speed, mobile experience, form optimization)
6. Personalization strategy (segment-specific experiences and messaging)
7. A/B testing framework and experimentation roadmap (systematic testing methodology)
8. Cross-device and cross-channel optimization (omnichannel experience improvement)
9. Attribution and analytics improvement (better tracking and measurement systems)
10. Performance monitoring and continuous improvement process (ongoing optimization methodology)

Present as a systematic CRO program with specific test ideas, implementation priorities, and expected impact projections.


Mandatory files and data needed

• Detailed conversion funnel data showing user progression through each stage
• User behavior analytics including drop-off points and completion rates
• Traffic source and user segmentation data showing different conversion patterns
• Current conversion optimization efforts and their performance impact

Optional files and data required

• User research including surveys, interviews, and usability testing results
• Competitive analysis of conversion strategies and user experiences
• Technical performance data including page load times and mobile optimization
• Customer feedback on conversion experience and barriers to purchase

Why is it helpful

This systematically eliminates leaks in your growth engine by identifying and fixing the specific friction points that prevent prospects from becoming customers. You'll create a data-driven optimization program that compounds improvements across your entire funnel, typically improving overall conversion rates by 30-60% while creating systematic processes for continuous improvement and growth acceleration.

10 ways to make the most out of this prompt

1. Create behavioral user segmentation by analyzing different conversion paths and optimizing experiences for each user type
2. Build predictive drop-off modeling by identifying early warning signs that users are likely to abandon the conversion process
3. Develop dynamic personalization by creating different funnel experiences based on traffic source, user behavior, and demographic data
4. Generate cross-device optimization by ensuring seamless experiences as users switch between devices during the conversion journey
5. Create real-time conversion alerts by monitoring funnel performance and flagging unusual drops in conversion rates immediately
6. Build social proof optimization by systematically testing different testimonials, case studies, and credibility indicators
7. Develop mobile-first conversion strategies by creating experiences specifically optimized for mobile users and touch interactions
8. Generate competitive conversion intelligence by analyzing competitor funnels and identifying opportunities for differentiation
9. Create psychological persuasion optimization by testing different persuasion principles and behavioral psychology techniques
10. Build multi-variate testing programs by simultaneously testing multiple funnel elements to identify the highest-impact combination of changes

User Onboarding & Activation Optimization

Prompt

You are a user onboarding expert specializing in B2B SaaS activation and time-to-value optimization. I need you to analyze our current onboarding performance and design an optimized activation experience that gets users to value faster and improves retention.

**Current Onboarding Context:**
- Onboarding completion rate: [insert percentage]%
- Time to first value: [insert current average time]
- Activation rate (users who reach key value milestone): [insert percentage]%
- Retention rates: [insert Day 7, Day 30, Day 90 retention]
- Current onboarding flow: [describe existing new user experience]

**User Onboarding Data:**
"""
[Upload CSV with: User ID, Signup date, Onboarding completion status, Steps completed, Time to activation, First value event date, Feature adoption, Support interactions, Retention milestones, User segment, Company size, Use case, Churn date if applicable]
"""

**Product Context:**
- Product complexity: [describe learning curve and feature depth]
- Core value propositions: [describe main benefits users should realize]
- Critical activation events: [define what "activated" means for your product]
- User personas: [describe different types of users and their goals]
- Competitive alternatives: [describe what users might use instead]

**Onboarding Challenges:**
- User drop-off points: [identify where users abandon onboarding]
- Confusion and friction: [describe common user difficulties]
- Time-to-value delays: [describe barriers to quick value realization]
- Support burden: [describe common questions and help needs]
- Personalization limitations: [describe one-size-fits-all challenges]

Create a comprehensive onboarding optimization strategy:
1. Onboarding performance audit (completion rates, drop-off analysis, time-to-value benchmarking)
2. User journey mapping and friction identification (step-by-step experience analysis)
3. Activation milestone definition and measurement (clear success criteria and tracking)
4. Personalized onboarding flows (segment-specific experiences and progressive disclosure)
5. Time-to-value acceleration (streamlined paths to core value realization)
6. Interactive guidance and support integration (in-app help, tutorials, proactive assistance)
7. Progress tracking and motivation design (completion indicators, achievement systems)
8. Onboarding content and communication strategy (email sequences, in-app messaging)
9. A/B testing framework for onboarding optimization (systematic experimentation approach)
10. Success measurement and continuous improvement methodology (metrics tracking and iteration process)

Structure as an onboarding optimization playbook with specific flow improvements, content strategies, and measurement frameworks.


Mandatory files and data needed

• User onboarding completion and progression data with step-by-step analytics
• Activation and retention metrics correlated with onboarding completion
• User segmentation data showing different onboarding needs and success patterns
• Current onboarding flow documentation and user experience mapping

Optional files and data required

• User research including surveys and interviews about onboarding experience
• Customer support data showing common questions and friction points during onboarding
• Competitive analysis of onboarding approaches and best practices
• Product usage analytics showing feature adoption patterns after onboarding

Why is it helpful

This transforms your new user experience from a barrier to growth into an accelerator that quickly demonstrates value and builds habit formation. You'll reduce churn, improve activation rates, and create stronger customer relationships from day one, typically improving activation rates by 40-70% while reducing time-to-value and support burden through better user guidance and experience design.

10 ways to make the most out of this prompt

1. Create behavioral onboarding triggers by personalizing the experience based on user actions, goals, and company characteristics
2. Build progressive disclosure systems by revealing product complexity gradually as users master basic functionality
3. Develop success milestone celebrations by creating positive reinforcement when users complete important onboarding steps
4. Generate predictive onboarding assistance by identifying users likely to struggle and providing proactive help
5. Create multi-modal onboarding experiences by combining in-app guidance, email sequences, and video tutorials
6. Build onboarding experimentation frameworks by systematically testing different flows and approaches for different user segments
7. Develop contextual help systems by providing relevant assistance exactly when and where users need it in the product
8. Generate onboarding analytics dashboards by tracking detailed progression metrics and identifying optimization opportunities
9. Create social onboarding elements by incorporating team setup, collaboration, and sharing into the activation process
10. Build retention prediction models by identifying onboarding completion patterns that correlate with long-term user success

Customer Lifetime Value (LTV) Expansion & Retention Strategy

Prompt

You are a customer success and retention expert who specializes in LTV optimization and expansion revenue growth for B2B companies. I need you to analyze our current customer data and design systematic strategies to increase customer lifetime value while reducing churn.

**Current LTV Context:**
- Average Customer Lifetime Value: $[insert current LTV]
- Average customer lifespan: [insert months/years]
- Monthly/Annual churn rate: [insert percentage]%
- Net Revenue Retention: [insert percentage]%
- Expansion revenue percentage: [insert percentage of total revenue]%

**Customer Lifecycle Data:**
"""
[Upload CSV with: Customer ID, Signup date, Initial contract value, Current MRR/ARR, Product usage metrics, Feature adoption, Support interactions, NPS scores, Expansion events, Contract renewals, Churn date, Churn reason, Customer segment, Company size, Industry]
"""

**Customer Success Context:**
- Customer success team structure: [describe CS team and processes]
- Current retention programs: [describe existing retention efforts]
- Expansion/upsell approach: [describe current growth strategies]
- Product stickiness factors: [describe features that drive retention]
- Competitive switching risks: [describe threats and alternatives]

**LTV Optimization Challenges:**
- Churn prediction and prevention: [describe current early warning systems]
- Expansion opportunity identification: [describe upsell/cross-sell challenges]
- Customer health monitoring: [describe current health scoring]
- Value realization tracking: [describe success measurement challenges]
- Personalization at scale: [describe customization limitations]

Develop a comprehensive LTV optimization strategy:
1. Customer health scoring and churn prediction model (early warning system and intervention triggers)
2. Retention strategy by customer segment (personalized approaches based on value and risk)
3. Expansion revenue identification and systematic upsell/cross-sell processes
4. Customer success milestone mapping and value realization tracking
5. Product adoption optimization (feature utilization that drives retention and expansion)
6. Renewal and contract optimization (pricing strategies and contract structures that improve retention)
7. Customer advocacy and referral program design (turning satisfied customers into growth drivers)
8. Proactive support and success intervention strategies (preventing problems before they cause churn)
9. Competitive retention and win-back strategies (defending against competitive threats)
10. LTV measurement framework and continuous improvement methodology

Present as a systematic LTV optimization program with specific retention tactics, expansion strategies, and measurement systems.


Mandatory files and data needed

• Customer lifecycle data including usage patterns, renewals, expansions, and churn information
• Current customer lifetime value calculations and retention metrics
• Customer health indicators and engagement data
• Product usage analytics and feature adoption patterns

Optional files and data required

• Customer satisfaction surveys and feedback data
• Competitive win/loss analysis and switching pattern research
• Customer success team capacity and process documentation
• Pricing and packaging analysis for expansion opportunities

Why is it helpful

This creates a systematic approach to maximizing the value you extract from existing customers, which is typically 5-10x more cost-effective than acquiring new ones. You'll build predictive systems that identify expansion opportunities and churn risks early, typically improving net revenue retention by 10-20 percentage points while extending average customer lifespans and creating more predictable, recurring revenue growth.

10 ways to make the most out of this prompt

1. Create predictive churn modeling by building machine learning systems that identify at-risk customers weeks before they typically churn
2. Build automated health score monitoring by creating real-time systems that track customer engagement and trigger interventions when scores decline
3. Develop expansion opportunity algorithms by identifying usage patterns and milestones that predict successful upsell timing
4. Generate personalized retention campaigns by creating different approaches for various customer segments and risk levels
5. Create value realization tracking by building systems that measure and report on customer ROI and success achievements
6. Build customer success automation by triggering proactive outreach and support based on usage patterns and health indicators
7. Develop competitive defense strategies by identifying when customers are evaluating alternatives and creating retention responses
8. Generate referral and advocacy programs by systematically identifying and engaging your most successful and satisfied customers
9. Create contract optimization experiments by testing different renewal terms, pricing structures, and upgrade incentives
10. Build customer journey analytics by tracking the relationship between different touchpoints, interventions, and long-term customer value

Growth Attribution & Multi-Touch Analytics

Prompt

You are a growth attribution expert specializing in complex B2B customer journeys and multi-touch analytics. I need you to analyze our current attribution approach and design a comprehensive measurement system that accurately assigns credit to growth activities across the entire customer lifecycle.

**Current Attribution Context:**
- Attribution model used: [describe current approach - first-touch, last-touch, linear, etc.]
- Customer journey complexity: [describe typical touchpoints and timeline]
- Attribution window: [insert current attribution timeframe]
- Channels tracked: [list all marketing and sales touchpoints currently measured]
- Cross-device/cross-platform challenges: [describe tracking limitations]

**Customer Journey Data:**
"""
[Upload CSV with: Customer ID, All touchpoint interactions with timestamps, Channel sources, Campaign attributions, Content consumed, Email engagement, Website behavior, Sales activities, Customer outcome (trial, purchase, expansion), Revenue amount, Customer segment]
"""

**Growth Activities Context:**
- Marketing channels: [list all marketing activities and investments]
- Sales activities: [describe sales process and touchpoints]
- Product-led growth elements: [describe PLG touchpoints and activities]
- Customer success interventions: [describe retention and expansion activities]
- Partnership and referral activities: [describe indirect growth drivers]

**Attribution Challenges:**
- Complex customer journeys: [describe multi-touch complexity]
- Long sales cycles: [describe extended timeline attribution challenges]
- Cross-team activity integration: [describe data silos and coordination issues]
- Offline activity tracking: [describe non-digital touchpoint measurement]
- Executive reporting and decision-making: [describe stakeholder communication needs]

Create a comprehensive growth attribution strategy:
1. Multi-touch attribution model design (credit assignment methodology across all touchpoints)
2. Customer journey mapping and touchpoint identification (complete interaction inventory)
3. Attribution methodology comparison (first-touch vs. last-touch vs. linear vs. time-decay vs. data-driven)
4. Cross-channel data integration strategy (unified tracking across all growth activities)
5. Growth activity impact measurement (individual channel and campaign contribution analysis)
6. Attribution reporting dashboard design (stakeholder-specific views and insights)
7. Statistical attribution modeling (advanced analytics and machine learning approaches)
8. Growth ROI calculation framework (investment attribution and return measurement)
9. Cross-functional attribution alignment (shared measurement standards across teams)
10. Attribution optimization and continuous improvement methodology

Structure as a comprehensive attribution framework with technical implementation guidance and measurement standards.


Mandatory files and data needed

• Complete customer journey data with all touchpoints and interactions across channels
• Current attribution methodology documentation and measurement approach
• Growth activity data including all marketing, sales, and product touchpoints
• Revenue and conversion outcome data with customer identification

Optional files and data required

• Technology stack documentation showing current tracking and integration capabilities
• Cross-team collaboration requirements and reporting needs
• Competitive benchmarking on attribution approaches and industry standards
• Statistical analysis capabilities and advanced analytics tool access

Why is it helpful

This eliminates the guesswork and politics around which growth activities actually drive results by providing scientific, defensible attribution that shows the true impact of every touchpoint. You'll make better budget allocation decisions, optimize underperforming activities, and scale successful ones with confidence, typically revealing 30-50% more growth influence than simple attribution models while enabling data-driven investment decisions.

10 ways to make the most out of this prompt

1. Create predictive attribution modeling by building machine learning systems that predict which touchpoints are most likely to influence future conversions
2. Build real-time attribution dashboards by creating live reporting that shows growth activity impact as customers progress through journeys
3. Develop cross-team attribution insights by showing how marketing, sales, product, and success activities work together to drive growth
4. Generate budget optimization recommendations by using attribution data to predict the ROI of different investment allocation scenarios
5. Create customer journey optimization by identifying the most efficient paths to conversion and replicating them in growth strategies
6. Build competitive attribution intelligence by tracking attribution patterns when prospects evaluate competitors versus your solution
7. Develop content attribution tracking by measuring how different content pieces influence customer progression and conversion rates
8. Generate channel interaction analysis by understanding how different growth channels amplify or cannibalize each other's effectiveness
9. Create lifetime value attribution by extending measurement beyond first conversion to show long-term impact of different acquisition sources
10. Build executive attribution reporting by creating clear, actionable summaries that communicate growth investment impact to stakeholders and investors

Competitive Growth Intelligence & Market Positioning

Prompt

You are a competitive intelligence expert with deep experience in growth strategy and market positioning for B2B companies. I need you to analyze our competitive landscape and create a comprehensive strategy that exploits competitor weaknesses while defending our market position.

**Current Competitive Context:**
- Primary competitors: [list top 3-5 direct competitors]
- Market position: [describe your current market share and positioning]
- Competitive advantages: [describe your key differentiators]
- Competitive threats: [describe biggest competitive risks]
- Win/loss patterns: [describe recent competitive outcomes]

**Competitive Intelligence Data:**
"""
[Upload CSV with: Competitor name, Pricing strategy, Product features, Marketing messages, Growth tactics, Funding/investment, Customer wins/losses, Market share estimates, Strengths, Weaknesses, Recent strategic moves]
"""

**Growth Context:**
- Growth rate vs. competitors: [describe relative growth performance]
- Customer acquisition strategies: [describe how you compete for customers]
- Market expansion plans: [describe geographic or vertical expansion goals]
- Product development priorities: [describe feature/capability development vs. competitors]
- Funding and resource advantages/disadvantages: [describe competitive resource position]

**Competitive Challenges:**
- Competitor growth acceleration: [describe threats from fast-growing competitors]
- Price competition and commoditization: [describe pricing pressure challenges]
- Feature parity and differentiation erosion: [describe product competition challenges]
- Market share defense: [describe customer retention vs. competitive threats]
- New entrant disruption: [describe threats from new market players]

Develop a comprehensive competitive growth strategy:
1. Competitive landscape analysis (market positioning, growth rates, strategic direction assessment)
2. Competitor SWOT analysis with growth implications (strengths to counter, weaknesses to exploit)
3. Competitive differentiation strategy (unique value proposition and market positioning optimization)
4. Defensive growth tactics (customer retention, competitive displacement prevention)
5. Offensive growth strategies (market share capture, competitive customer acquisition)
6. Product and feature competitive roadmap (development priorities to maintain advantage)
7. Pricing and packaging competitive strategy (value-based positioning vs. competitive alternatives)
8. Marketing and messaging competitive framework (thought leadership and market narrative control)
9. Competitive intelligence and monitoring system (ongoing competitive tracking and alerts)
10. Market expansion and timing strategy (geographic and vertical market entry vs. competitive moves)

Present as a competitive growth playbook with specific tactics for different competitive scenarios and market conditions.


Mandatory files and data needed

• Comprehensive competitive analysis including features, pricing, and positioning
• Win/loss data and competitive deal outcomes with reasons and patterns
• Current market positioning and differentiation strategy
• Growth performance data compared to competitive benchmarks

Optional files and data required

• Customer research on competitive evaluation and switching considerations
• Sales team feedback on competitive objections and positioning effectiveness
• Market research on competitive brand perception and thought leadership
• Funding and strategic intelligence on competitor moves and market trends

Why is it helpful

This transforms your competitive approach from reactive defense to proactive market leadership by identifying specific opportunities to outmaneuver competitors and capture market share. You'll build systematic competitive advantages while defending against threats, typically improving win rates by 15-25% and accelerating growth by exploiting competitor weaknesses and market gaps.

10 ways to make the most out of this prompt

1. Create competitive alert systems by monitoring competitor activities, product launches, and strategic moves with automated intelligence gathering
2. Build win/loss analysis optimization by systematically analyzing competitive deal outcomes to improve future competitive positioning
3. Develop competitive battle cards by creating dynamic sales tools that help your team win against specific competitors in different scenarios
4. Generate competitive content strategies by creating thought leadership that positions your company favorably against competitive alternatives
5. Create competitive pricing intelligence by monitoring competitor pricing changes and adjusting your strategy to maintain competitive advantage
6. Build market timing optimization by identifying windows of opportunity when competitors are vulnerable or distracted
7. Develop partnership strategies by forming alliances that strengthen your position against common competitive threats
8. Generate competitive customer research by understanding why prospects choose competitors and addressing those decision factors
9. Create competitive product roadmapping by prioritizing features and capabilities that create sustainable competitive advantages
10. Build market expansion strategies by identifying markets where competitors are weak or absent and focusing growth investments accordingly

A/B Testing & Experimentation Program Design

Prompt

You are an experimentation expert who has designed and managed A/B testing programs for high-growth B2B companies. I need you to analyze our current testing approach and create a comprehensive experimentation framework that accelerates growth through systematic hypothesis validation.

**Current Experimentation Context:**
- Testing maturity level: [describe current A/B testing sophistication]
- Test frequency: [describe how often you currently run tests]
- Team testing capacity: [describe resources dedicated to experimentation]
- Statistical rigor: [describe current approach to significance and sample sizes]
- Testing areas: [list what aspects of the business you currently test]

**Experimentation Performance Data:**
"""
[Upload CSV with: Test name, Hypothesis, Start date, End date, Sample size, Control performance, Variant performance, Statistical significance, Confidence level, Business impact, Implementation status, Learning summary, Test category]
"""

**Business Context:**
- Primary optimization goals: [describe key metrics you want to improve]
- Traffic/user volume: [describe sample size available for testing]
- Conversion rates: [describe baseline conversion performance]
- Growth bottlenecks: [describe biggest constraints on growth]
- Resource constraints: [describe development and design capacity for testing]

**Experimentation Challenges:**
- Sample size and statistical power: [describe challenges reaching significance]
- Test implementation speed: [describe development bottlenecks]
- Experiment prioritization: [describe challenges deciding what to test]
- Cross-team coordination: [describe alignment challenges for testing]
- Learning capture and application: [describe knowledge management challenges]

Create a comprehensive experimentation program strategy:
1. Experimentation maturity assessment (current state vs. best-practice gap analysis)
2. Testing framework and methodology design (hypothesis generation, prioritization, execution process)
3. Statistical rigor and sample size optimization (power analysis, significance standards, duration planning)
4. Experiment prioritization system (ICE scoring, impact estimation, resource allocation)
5. Cross-functional testing coordination (product, marketing, sales experiment alignment)
6. Testing infrastructure and tool optimization (platform selection, implementation processes)
7. Results analysis and decision-making framework (statistical interpretation, business impact assessment)
8. Learning documentation and knowledge management (test results repository, insight application)
9. Experimentation culture and training program (team education, hypothesis-driven thinking)
10. Testing roadmap and continuous improvement methodology (quarterly planning, program optimization)

Structure as an experimentation playbook with specific testing processes, statistical standards, and program management frameworks.


Mandatory files and data needed

• Historical A/B testing data with results, significance levels, and business impact
• Current experimentation process documentation and team capacity
• Business metrics and conversion data that could be optimized through testing
• Resource availability for test development and implementation

Optional files and data required

• User research and behavioral data that could inform test hypotheses
• Competitive analysis of testing approaches and optimization strategies
• Technology stack capabilities for test implementation and measurement
• Team training needs and experimentation skill development requirements

Why is it helpful

This transforms your growth efforts from intuition-based decisions to scientific, hypothesis-driven optimization that compounds results over time. You'll build a systematic testing culture that validates assumptions before scaling investments, typically improving overall conversion rates and growth metrics by 20-40% while reducing the risk of failed initiatives and creating organizational learning that accelerates future growth.

10 ways to make the most out of this prompt

1. Create automated experiment tracking by building systems that monitor test performance and flag significant results for immediate analysis
2. Build predictive testing models by using historical test results to predict which types of experiments are most likely to succeed
3. Develop cross-team experiment coordination by creating workflows that align product, marketing, and sales testing for maximum business impact
4. Generate statistical power optimization by implementing tools and processes that ensure tests reach meaningful significance levels efficiently
5. Create hypothesis generation frameworks by building systematic approaches to identifying high-impact testing opportunities
6. Build experimentation culture training by developing programs that teach hypothesis-driven thinking across your entire organization
7. Develop personalization testing strategies by running experiments tailored to different user segments and behavioral patterns
8. Generate competitive testing intelligence by monitoring competitor changes and testing counter-strategies or alternative approaches
9. Create meta-analysis capabilities by analyzing patterns across multiple tests to identify broader optimization principles
10. Build testing impact measurement by tracking how experimental learnings contribute to overall business growth and strategic objectives

Partnership & Channel Growth Strategy

Prompt

You are a partnership and channel development expert who specializes in building scalable growth through strategic alliances and partner ecosystems for B2B companies. I need you to analyze our current partnership approach and design a comprehensive strategy that accelerates growth through strategic relationships.

**Current Partnership Context:**
- Existing partnerships: [describe current partner relationships and types]
- Revenue from partnerships: [insert percentage of total revenue from partners]
- Partner channel performance: [describe current partner contribution to growth]
- Partnership team structure: [describe team size and roles]
- Partnership management approach: [describe current partner management processes]

**Partnership Performance Data:**
"""
[Upload CSV with: Partner name, Partnership type, Start date, Revenue generated, Leads provided, Customers acquired, CAC through partner, LTV of partner customers, Partner satisfaction score, Joint marketing activities, Integration status, Partner tier/category]
"""

**Growth Objectives:**
- Partnership revenue targets: [insert goals for partner-driven revenue]
- Market expansion goals: [describe geographic or vertical expansion through partners]
- Customer acquisition targets: [insert acquisition goals through partner channels]
- Channel diversification objectives: [describe risk mitigation and channel balance goals]
- Competitive positioning goals: [describe partnership advantages vs. competitors]

**Partnership Challenges:**
- Partner recruitment and onboarding: [describe challenges finding and enabling partners]
- Channel conflict and competition: [describe tensions between direct and partner sales]
- Partner enablement and training: [describe challenges getting partners productive]
- Partnership measurement and attribution: [describe tracking and ROI challenges]
- Partner relationship management: [describe challenges maintaining partner engagement]

Develop a comprehensive partnership growth strategy:
1. Partnership ecosystem audit (current partner performance, gaps, optimization opportunities)
2. Strategic partner identification and recruitment strategy (ideal partner profile, sourcing methodology)
3. Partnership type optimization (referral, reseller, integration, co-marketing, strategic alliances)
4. Partner enablement and onboarding program design (training, resources, support systems)
5. Channel conflict management and pricing strategy (direct vs. partner sales coordination)
6. Joint go-to-market strategy development (co-marketing, co-selling, market expansion)
7. Partnership performance measurement and optimization framework (attribution, incentives, accountability)
8. Partner relationship management system and processes (CRM, communication, review cycles)
9. Integration and technical partnership strategy (API partnerships, platform integrations)
10. Partnership scaling and growth acceleration methodology (tiering, specialization, expansion)

Present as a partnership development playbook with specific partner strategies, enablement processes, and growth frameworks.


Mandatory files and data needed

• Current partnership performance data including revenue attribution and lead generation
• Partner relationship mapping and performance assessment
• Partnership goals and growth targets for channel development
• Current partner management processes and team capacity

Optional files and data required

• Market research on potential partnership opportunities and ecosystem analysis
• Competitive analysis of partnership strategies and channel approaches
• Customer research on partner preferences and buying process involvement
• Technology integration capabilities and partnership platform requirements

Why is it helpful

This creates scalable growth channels that leverage other companies' relationships, expertise, and market reach to accelerate your expansion without proportional increases in direct sales and marketing costs. You'll build systematic partnership programs that typically contribute 20-40% of total revenue while enabling market expansion, competitive differentiation, and risk diversification through strategic relationships.

10 ways to make the most out of this prompt

1. Create partner performance dashboards by building systems that track partner contribution, productivity, and growth impact in real-time
2. Build automated partner enablement by creating self-service training, resources, and onboarding that scales partner productivity efficiently
3. Develop partner segmentation strategies by creating different approaches and support levels for various partner types and performance tiers
4. Generate joint marketing automation by building co-marketing campaigns and lead sharing systems that amplify both companies' growth efforts
5. Create partner relationship optimization by implementing regular review cycles, feedback systems, and relationship management best practices
6. Build integration partnership strategies by developing technical partnerships that create competitive moats and customer stickiness
7. Develop channel conflict resolution by creating clear policies and incentive structures that align direct and partner sales efforts
8. Generate partner recruitment systems by building systematic approaches to identify, evaluate, and onboard high-potential partners
9. Create competitive partnership intelligence by monitoring competitor partnerships and developing counter-strategies or alternative relationships
10. Build partnership ROI measurement by implementing sophisticated attribution that shows the true value and cost-effectiveness of different partnership types

As a Head of Growth, you're uniquely positioned to drive sustainable, compound growth by operating across the entire customer journey - from initial awareness through expansion and advocacy.

Each prompt is designed to work with your existing data and systems, requiring only CSV uploads and basic information input.

You'll get comprehensive growth strategies, implementation roadmaps, and optimization frameworks that can be immediately applied to accelerate your growth trajectory.

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