ChatGPT prompts for Chief Growth Officer

As a Chief Growth Officer, you're the architect of sustainable revenue expansion, responsible for aligning marketing, sales, customer success, and product teams around unified growth strategies.

This guide contains 12 powerful ChatGPT prompts specifically designed to help you accelerate pipeline generation, optimize conversion rates, identify expansion opportunities, and make data-driven decisions that drive measurable business impact.

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, basic integrations, and document processing.
• For best results, be specific with your inputs and iterate on the outputs by asking follow-up questions to refine the analysis.

Comprehensive Growth Strategy Audit & Roadmap

Prompt

You are a senior growth strategy consultant with 15+ years of experience helping B2B SaaS companies scale from $10M to $100M+ ARR. I need you to conduct a comprehensive growth audit and create a 90-day action plan.

Analyze the following data and create a strategic growth roadmap:

**Company Context:**
- Company size: [insert employee count]
- Current ARR: $[insert current ARR]
- Target ARR: $[insert target ARR]
- Time frame: [insert timeframe]
- Primary market: [insert target market/industry]

**Current Metrics:**
"""
[Paste your current growth metrics CSV or key metrics here including: MQLs, SQLs, conversion rates, CAC, LTV, churn rate, expansion revenue, etc.]
"""

**Growth Challenges:**
[Insert top 3 growth challenges you're facing]

**Available Resources:**
- Marketing budget: $[amount]
- Sales team size: [number]
- Marketing team size: [number]
- Current tech stack: [list key tools]

Create a detailed output with these sections:
1. Current State Analysis (strengths, weaknesses, bottlenecks)
2. Growth Opportunity Matrix (high-impact, low-effort wins vs. strategic initiatives)
3. 90-Day Sprint Plan with specific actions, owners, and success metrics
4. Resource allocation recommendations
5. Key metrics to track and improvement targets
6. Risk mitigation strategies

Format as a structured executive presentation with clear action items and timelines.


Mandatory files and data needed

• Current growth metrics (CSV with MQLs, SQLs, conversion rates, CAC, LTV, churn)
• Company ARR and growth targets
• Team size and budget information
• List of current growth challenges

Optional files and data required

• Competitor analysis data
• Customer survey results
• Sales team performance metrics
• Marketing channel performance data
• Product usage analytics

Why is it helpful

This prompt transforms your scattered growth data into a cohesive strategic roadmap that you can immediately present to your executive team. Instead of spending weeks with expensive consultants, you get a comprehensive audit and actionable 90-day plan in minutes, allowing you to quickly identify the highest-impact growth levers and align your entire go-to-market team around clear priorities.

10 ways to make the most out of this prompt

1. Run quarterly strategy refresh sessions by updating the data and asking for revised recommendations
2. Create department-specific action plans by asking for detailed breakdowns for marketing, sales, and customer success
3. Generate board presentation materials by requesting executive summary slides and key talking points
4. Build scenario planning models by asking "what if" questions about different budget allocations or market conditions
5. Create competitive positioning strategies by adding competitor data and asking for differentiation recommendations
6. Develop hiring priorities by asking which roles would most accelerate the growth plan
7. Generate customer segmentation strategies by adding customer data and asking for targeted approaches
8. Create pricing optimization recommendations by including current pricing data and market analysis
9. Build partnership opportunity assessments by adding potential partner information and revenue projections
10. Develop crisis response plans by asking for alternative strategies if key metrics decline

Revenue Attribution & Channel Optimization Analysis

Prompt

You are a data-driven growth analyst specializing in multi-touch attribution and channel optimization for B2B companies. I need you to analyze our revenue attribution data and provide optimization recommendations.

**Analysis Context:**
- Attribution window: [insert timeframe, e.g., 30/60/90 days]
- Revenue goal: $[insert target]
- Current blend: [insert current channel mix]

**Attribution Data:**
"""
[Upload CSV with: Channel, Touchpoints, MQLs, SQLs, Opportunities, Closed-Won, Revenue, Cost, Customer Lifetime Value by source]
"""

**Additional Context:**
- Sales cycle length: [insert average length]
- Average deal size: $[insert amount]
- Current CAC by channel: [insert data]
- Marketing budget: $[insert total budget]

Analyze and provide:
1. True revenue attribution analysis (first-touch, last-touch, and multi-touch weighted)
2. Channel efficiency rankings (ROI, CAC payback, LTV:CAC ratios)
3. Budget reallocation recommendations with projected impact
4. Underperforming channel diagnostic (why they're failing and fix recommendations)
5. High-performing channel scaling opportunities
6. Cross-channel synergy analysis (how channels work together)
7. 30/60/90-day optimization roadmap with expected revenue impact

Present findings in executive dashboard format with clear data visualizations and actionable insights.


Mandatory files and data needed

• Multi-touch attribution data (CSV with channel performance metrics)
• Current marketing spend by channel
• Revenue and conversion data by source
• Average sales cycle and deal size information

Optional files and data required

• Customer surveys about discovery methods
• Competitive spend analysis
• Seasonal performance trends
• Sales team feedback on lead quality by channel

Why is it helpful

This eliminates the guesswork from your channel investments by providing clear, data-driven recommendations on where to double down and where to cut spending. You'll finally understand which channels are actually driving revenue (not just leads) and can confidently reallocate budgets to maximize ROI, often uncovering 20-30% efficiency gains that directly impact your bottom line.

10 ways to make the most out of this prompt

1. Create monthly channel performance reports by updating the data regularly and tracking optimization progress
2. Build predictive revenue models by asking for projections based on different budget allocation scenarios
3. Develop A/B testing strategies for underperforming channels by requesting specific experiment recommendations
4. Generate executive reporting dashboards by asking for key metrics visualizations and trend analysis
5. Create competitive benchmarking by adding industry data and asking for performance comparisons
6. Build seasonal optimization strategies by including historical performance data across different time periods
7. Develop new channel exploration plans by asking for emerging channel recommendations based on your customer profile
8. Generate content strategy alignments by requesting content recommendations for high-performing channels
9. Create sales and marketing alignment reports by analyzing lead quality and conversion differences by source
10. Build budget planning models by requesting annual budget recommendations with quarterly breakdowns

Customer Expansion & Upsell Strategy Development

Prompt

You are a customer success and expansion revenue expert who has helped B2B companies increase expansion revenue by 40%+ annually. I need you to analyze our customer data and create a systematic expansion strategy.

**Customer Portfolio Analysis:**
"""
[Upload customer data CSV with: Customer ID, Cohort, Current MRR, Contract Start Date, Last Expansion Date, Product Usage Metrics, Support Tickets, NPS Score, Industry, Company Size, Current Plan]
"""

**Context:**
- Current expansion revenue: $[amount] ([percentage]% of total revenue)
- Target expansion revenue: $[amount] ([percentage]% of total revenue)
- Available products/add-ons: [list products and pricing]
- Average time to first expansion: [timeframe]
- Current expansion rate: [percentage]%

**Success Team Capacity:**
- CSM team size: [number]
- Accounts per CSM: [number]
- Current expansion process: [describe current approach]

Deliver a comprehensive expansion strategy including:
1. Customer segmentation matrix (expansion potential vs. satisfaction scores)
2. Expansion-ready customer identification (specific names and reasoning)
3. Product-market fit analysis for each expansion opportunity
4. Playbook creation (timing, messaging, pricing strategies)
5. CSM workflow optimization and capacity planning
6. Success metrics and tracking dashboard design
7. Risk mitigation for potential churn during expansion conversations
8. 6-month implementation timeline with revenue projections

Structure as an executable strategy document with clear processes and accountability measures.


Mandatory files and data needed

• Customer database with usage metrics, MRR, and engagement data
• Current product catalog with pricing
• Historical expansion and churn data
• Customer success team structure and capacity information

Optional files and data required

• Customer satisfaction surveys and NPS data
• Support ticket analysis and resolution times
• Product adoption and feature usage analytics
• Competitive win/loss analysis for expansions

Why is it helpful

This transforms your customer expansion from reactive, opportunistic conversations into a proactive, data-driven growth engine. You'll identify exactly which customers are prime for expansion, what to sell them, and when to approach them, typically increasing expansion revenue by 25-40% within six months while reducing churn risk through strategic timing and positioning.

10 ways to make the most out of this prompt

1. Create automated expansion alert systems by setting up triggers based on usage patterns and engagement scores
2. Build customer health scoring models by requesting detailed scoring criteria and early warning indicators
3. Develop expansion sales training materials by asking for objection handling scripts and success stories
4. Generate executive customer reviews by creating quarterly business reviews templates for high-value accounts
5. Create competitive retention strategies by analyzing at-risk accounts and developing win-back campaigns
6. Build pricing optimization models by testing different expansion pricing strategies and discount structures
7. Develop customer advocacy programs by identifying satisfied customers who could become references and case studies
8. Generate product development insights by analyzing expansion patterns and identifying most-requested features
9. Create territory and account assignment optimization by analyzing CSM performance and account characteristics
10. Build predictive churn models by identifying patterns in customers who expanded versus those who churned

Competitive Intelligence & Market Positioning Strategy

Prompt

You are a competitive intelligence analyst and positioning strategist with deep expertise in B2B markets. I need you to analyze our competitive landscape and develop a differentiated positioning strategy that drives growth.

**Current Position:**
- Our solution: [describe your product/service]
- Target market: [define ICP]
- Current positioning: [describe current messaging]
- Key value props: [list main benefits]

**Competitive Data:**
"""
[Paste competitor analysis including: Competitor names, pricing, features, messaging, strengths, weaknesses, market share, recent funding/news]
"""

**Win/Loss Analysis:**
"""
[Provide data on: Recent wins/losses, reasons for wins, reasons for losses, common objections, pricing feedback, feature gaps identified]
"""

**Market Context:**
- Total addressable market: $[amount]
- Market growth rate: [percentage]%
- Our current market share: [percentage]%
- Key market trends: [list 3-5 trends]

Create a comprehensive competitive strategy including:
1. Competitive landscape mapping (positioning matrix and market gaps)
2. Differentiation opportunity analysis (white space identification)
3. Battle cards for each major competitor (strengths, weaknesses, how to win)
4. Messaging framework that highlights unique advantages
5. Pricing strategy recommendations vs. competitors
6. Product roadmap priorities to maintain competitive advantage
7. Sales enablement materials (talk tracks, demo focuses, objection handling)
8. Marketing campaign recommendations to exploit competitor weaknesses
9. Market expansion opportunities where competitors are weak
10. 12-month competitive response plan

Format as a strategic playbook with actionable tactics for each go-to-market function.


Mandatory files and data needed

• Detailed competitor analysis and feature comparison
• Recent win/loss interview data and sales feedback
• Current positioning and messaging documents
• Market size and growth data

Optional files and data required

• Competitor pricing and contract terms
• Customer surveys comparing your solution to alternatives
• Sales team competitive intelligence reports
• Industry analyst reports and market research

Why is it helpful

This gives you a clear competitive advantage by identifying exactly where your competitors are vulnerable and how to position your solution to win more deals. Instead of competing on features or price, you'll have a strategic framework that highlights your unique strengths and addresses competitor weaknesses, typically improving win rates by 15-25% and enabling premium pricing strategies.

10 ways to make the most out of this prompt

1. Create dynamic battle cards by regularly updating competitor intelligence and refining win strategies
2. Build competitive alerts and monitoring systems by setting up automated tracking of competitor moves and market changes
3. Develop thought leadership content strategies by identifying topics where competitors are silent or weak
4. Generate product development priorities by analyzing competitor roadmaps and identifying innovation opportunities
5. Create partnership strategies by finding companies that complement your strengths and address competitor advantages
6. Build customer retention programs by understanding why customers switch to competitors and addressing those gaps
7. Develop pricing optimization models by analyzing competitive pricing strategies and value perception gaps
8. Generate market expansion plans by identifying geographic or vertical markets where competitors are under-represented
9. Create acquisition target analysis by evaluating companies that could strengthen your competitive position
10. Build crisis communication plans by preparing responses to competitive attacks or market disruption scenarios

Lead Scoring & Qualification Optimization

Prompt

You are a lead scoring and marketing automation expert who has optimized qualification processes for hundreds of B2B companies. I need you to analyze our lead data and create an advanced scoring model that improves sales efficiency.

**Current Lead Data:**
"""
[Upload CSV with: Lead source, company size, industry, title, engagement score, form fills, email opens/clicks, website behavior, demo requests, sales outcome (SQL/Opportunity/Closed-Won/Lost)]
"""

**Current Process:**
- Current lead scoring criteria: [list current scoring factors]
- MQL to SQL conversion rate: [percentage]%
- SQL to Opportunity conversion rate: [percentage]%
- Opportunity to Closed-Won rate: [percentage]%
- Average sales cycle length: [days]
- SDR team size: [number]
- Average leads per SDR per month: [number]

**Business Context:**
- Ideal Customer Profile: [describe ICP]
- Average deal size: $[amount]
- Target market segments: [list segments]
- Current CAC: $[amount]
- Target CAC: $[amount]

Develop a comprehensive lead optimization strategy:
1. Advanced lead scoring model (demographic, firmographic, and behavioral factors with weights)
2. Lead routing and assignment optimization (territory, skills, capacity)
3. Qualification framework (BANT evolution, custom criteria)
4. Sales Development playbook (cadences, messaging, timing)
5. Marketing automation workflows (nurture sequences, re-engagement campaigns)
6. Conversion rate improvement recommendations at each funnel stage
7. Sales and marketing alignment protocols (SLA definitions, feedback loops)
8. Performance metrics and dashboards (individual and team KPIs)
9. A/B testing roadmap for continuous optimization
10. Implementation timeline with expected ROI improvements

Present as an operational playbook with specific tools, processes, and success metrics.


Mandatory files and data needed

• Lead database with demographic, behavioral, and outcome data
• Current lead scoring criteria and conversion rates
• Sales development team structure and capacity
• ICP definition and target market segments

Optional files and data required

• Marketing automation platform data and workflow performance
• Sales team feedback on lead quality by source and score
• Customer interviews about buying process and decision criteria
• Competitive analysis of qualification and scoring approaches

Why is it helpful

This eliminates the inefficiency of your sales team chasing unqualified leads by creating a data-driven scoring system that predicts which prospects are most likely to buy. You'll see immediate improvements in sales productivity, typically increasing SQL to opportunity conversion rates by 20-35% while reducing time-to-close and improving sales team satisfaction through higher-quality leads.

10 ways to make the most out of this prompt

1. Create predictive analytics models by building machine learning-enhanced scoring based on historical conversion patterns
2. Build real-time lead intelligence by integrating social media and company news triggers into scoring algorithms
3. Develop personalized outreach strategies by creating messaging templates based on lead score components and characteristics
4. Generate sales coaching insights by analyzing which scoring factors correlate with individual rep success rates
5. Create marketing attribution improvements by weighting scoring factors based on revenue influence rather than just conversions
6. Build automated nurture sequences by creating different content paths based on lead score ranges and engagement patterns
7. Develop territory optimization by analyzing geographic and industry patterns in high-scoring leads
8. Generate competitive intelligence by tracking scoring changes when competitors are mentioned or engaged
9. Create capacity planning models by predicting lead volume and quality based on marketing campaign performance
10. Build customer lifecycle pricing by creating expansion pricing strategies that increase revenue per customer over time
11. Develop packaging optimization by testing different feature combinations and identifying the most attractive value propositions
12. Generate international pricing strategies by adapting pricing for different geographic markets and local competitive dynamics
13. Create sales training programs by developing pricing confidence and objection handling skills for different price points and customer segments
14. Build financial planning models by projecting revenue impact of different pricing scenarios and their effect on key business metrics

Growth Metrics Dashboard & KPI Optimization

Prompt

You are a growth analytics expert and dashboard designer who helps B2B companies build comprehensive measurement systems that drive better decision-making. I need you to design a growth metrics framework and executive dashboard.

**Current Metrics Tracking:**
"""
[Upload CSV with current metrics data including: Traffic, leads, conversions, pipeline, revenue, churn, expansion, CAC, LTV, and any other KPIs you currently track with historical trends]
"""

**Business Context:**
- Company stage: [startup/growth/mature]
- Revenue model: [subscription/transaction/hybrid]
- Growth stage: [early/scaling/optimizing]
- Team size: [total employees]
- Current ARR: $[amount]
- Growth targets: [specific goals and timelines]

**Current Challenges:**
- Decision-making speed: [describe current challenges]
- Data reliability issues: [describe data quality problems]
- Team alignment on metrics: [describe alignment challenges]
- Reporting frequency: [current reporting cadence]
- Action-oriented insights: [current gap between data and decisions]

**Stakeholder Requirements:**
- CEO dashboard needs: [what executive team needs to see]
- Department-level metrics: [marketing, sales, success specific needs]
- Board reporting requirements: [investor/board meeting metrics]
- Operational team needs: [day-to-day operational metrics]

Create a comprehensive metrics and dashboard strategy:
1. Growth metrics hierarchy (North Star, primary, secondary, operational metrics)
2. Leading vs. lagging indicator optimization
3. Executive dashboard design (key visualizations and insights)
4. Department-specific dashboard recommendations
5. Alert system and threshold management for critical metrics
6. Data quality and governance framework
7. Reporting cadence and meeting rhythm recommendations
8. Benchmarking and competitive context integration
9. Predictive analytics and forecasting methodology
10. Implementation roadmap including tool recommendations and team training

Present as a comprehensive measurement system with visual mockups and operational procedures.


Mandatory files and data needed

• Historical growth metrics and KPI data across all business functions
• Current growth targets and business objectives
• List of key stakeholders and their specific reporting needs
• Description of current metrics challenges and data quality issues

Optional files and data required

• Industry benchmarking data and competitive metrics
• Current dashboard screenshots and reporting examples
• Team feedback on existing metrics and reporting effectiveness
• Technical infrastructure overview and analytics tool capabilities

Why is it helpful

This creates a unified measurement system that accelerates decision-making and improves growth performance by giving you real-time visibility into the metrics that matter most. You'll eliminate the confusion of conflicting metrics, reduce time spent on manual reporting, and ensure every team member understands how their work impacts overall growth objectives, typically improving execution speed by 30-40%.

10 ways to make the most out of this prompt

1. Create automated alert systems by setting up threshold-based notifications when key metrics move outside expected ranges
2. Build predictive forecasting models by using historical data patterns to predict future performance and identify potential issues early
3. Develop cohort analysis frameworks by tracking customer and revenue cohorts over time to understand long-term trends and patterns
4. Generate competitive benchmarking by regularly comparing your metrics to industry standards and competitor performance
5. Create correlation analysis by identifying which metrics drive others and building cause-and-effect understanding across your growth engine
6. Build scenario planning tools by modeling how changes in key inputs affect overall growth outcomes and revenue projections
7. Develop team performance optimization by creating individual and team scorecards that align personal performance with company growth goals
8. Generate investor-ready reports by building automated board decks and investor updates that highlight key growth metrics and trends
9. Create experiment tracking systems by measuring the impact of growth initiatives and marketing campaigns on key business metrics
10. Build customer journey analytics by tracking metrics across the entire customer lifecycle from acquisition to expansion and renewal

Marketing Campaign ROI & Performance Analysis

Prompt

You are a marketing performance analyst with expertise in multi-channel campaign optimization and ROI measurement. I need you to analyze our marketing performance and create recommendations for campaign optimization and budget allocation.

**Campaign Performance Data:**
"""
[Upload CSV with: Campaign name, channel, start/end dates, budget, impressions, clicks, leads, MQLs, SQLs, opportunities, closed-won deals, revenue, customer acquisition cost, customer lifetime value by campaign]
"""

**Current Marketing Mix:**
- Total marketing budget: $[amount]
- Budget allocation by channel: [breakdown by percentage]
- Campaign types: [list types: content, paid ads, events, etc.]
- Marketing team structure: [roles and responsibilities]
- Attribution model: [first-touch/last-touch/multi-touch]

**Business Context:**
- Target customer acquisition cost: $[amount]
- Target return on marketing investment: [ratio or percentage]
- Sales cycle length: [average days]
- Average deal size: $[amount]
- Customer lifetime value: $[amount]
- Growth targets: [specific acquisition and revenue goals]

**Current Challenges:**
- Attribution accuracy: [describe tracking challenges]
- Campaign optimization speed: [current optimization cycle time]
- Budget allocation decisions: [current decision-making process]
- Performance consistency: [describe performance variability issues]

Deliver a comprehensive marketing optimization strategy:
1. Campaign performance analysis (ROI rankings, efficiency metrics, trend analysis)
2. Attribution model optimization (multi-touch attribution recommendations)
3. Budget reallocation recommendations with projected impact
4. Underperforming campaign diagnostic and turnaround strategies
5. High-performing campaign scaling opportunities
6. Channel synergy analysis and cross-channel optimization
7. Customer journey mapping and touchpoint optimization
8. Testing and experimentation roadmap (A/B tests, channel experiments)
9. Marketing automation and workflow optimization
10. Performance monitoring and optimization processes

Structure as an actionable optimization playbook with specific campaign improvements and budget strategies.


Mandatory files and data needed

• Comprehensive campaign performance data with ROI metrics
• Current marketing budget allocation and spending patterns
• Attribution data showing customer journey touchpoints
• Target CAC, LTV, and ROMI goals

Optional files and data required

• Competitive advertising intelligence and market share data
• Customer surveys on brand awareness and campaign recall
• Sales team feedback on lead quality by campaign and channel
• Website analytics and conversion data by traffic source

Why is it helpful

This eliminates the guesswork from your marketing investments by providing clear, data-driven recommendations on which campaigns to scale, optimize, or eliminate. You'll identify the highest-ROI marketing activities and optimize your budget allocation to maximize pipeline generation and revenue growth, typically improving marketing ROI by 25-40% within 90 days.

10 ways to make the most out of this prompt

1. Create real-time campaign optimization by building automated rules and alerts that pause or scale campaigns based on performance thresholds
2. Build audience segment analysis by identifying which customer segments respond best to different campaign types and messages
3. Develop creative performance optimization by testing different ad creative, copy, and landing page combinations for top-performing campaigns
4. Generate seasonal performance planning by analyzing historical patterns and optimizing campaign timing for maximum impact
5. Create cross-channel attribution modeling by understanding how different channels work together in the customer journey
6. Build competitive campaign intelligence by monitoring competitor advertising strategies and identifying market opportunities
7. Develop content performance optimization by analyzing which content types and topics drive the highest-quality leads and conversions
8. Generate marketing automation improvements by creating more sophisticated nurture sequences based on campaign engagement patterns
9. Create sales enablement from marketing data by providing sales teams with insights about prospect behavior and campaign engagement
10. Build predictive campaign modeling by using historical performance data to forecast the likely success of new campaign concepts and investments

Revenue Forecasting & Pipeline Management

Prompt

You are a revenue operations expert specializing in forecasting accuracy and pipeline management for B2B companies. I need you to analyze our current pipeline and create a comprehensive forecasting and management system.

**Current Pipeline Data:**
"""
[Upload CSV with: Opportunity ID, account name, deal size, probability, stage, create date, expected close date, source, sales rep, last activity, stage history, win/loss outcomes for closed deals]
"""

**Historical Performance:**
- Forecast accuracy (last 12 months): [percentage accurate within +/-10%]
- Average sales cycle by deal size: [breakdown]
- Win rates by stage: [percentage for each stage]
- Pipeline velocity: [average days to close]
- Seasonal trends: [describe quarterly/monthly patterns]
- Sales rep performance variability: [describe consistency issues]

**Current Process:**
- Forecasting frequency: [weekly/monthly/quarterly]
- Forecast methodology: [bottom-up/top-down/hybrid]
- Pipeline review process: [current meeting structure and frequency]
- CRM hygiene and data quality: [current state description]
- Sales coaching based on pipeline: [current approach]

**Business Context:**
- Revenue targets by quarter: [specific numbers]
- Team quota distribution: [how quotas are allocated]
- New vs. expansion revenue mix: [current percentages]
- Territory structure: [geographic/vertical/account-based]
- Product mix impact on sales cycles: [different close rates by product]

Create a comprehensive pipeline management and forecasting system:
1. Pipeline health diagnostic (stage distribution, velocity, conversion analysis)
2. Forecasting accuracy improvement recommendations (methodology and process changes)
3. Stage-gate criteria optimization (qualification and progression standards)
4. Pipeline coverage analysis (how much pipeline needed for targets)
5. Sales coaching framework based on pipeline data
6. CRM hygiene and data quality improvement plan
7. Territory and quota optimization recommendations
8. Sales process bottleneck identification and resolution
9. Predictive analytics integration (AI-enhanced forecasting)
10. Implementation roadmap with training and change management

Present as an operational system with specific processes, tools, and accountability measures.


Mandatory files and data needed

• Complete pipeline data with historical outcomes and stage progression
• Current forecasting accuracy and methodology description
• Sales team structure and individual performance data
• Revenue targets and business growth objectives

Optional files and data required

• CRM system configuration and field utilization analysis
• Sales team feedback on current forecasting and pipeline processes
• Customer buying process research and sales cycle analysis
• Competitive win/loss analysis and market dynamics data

Why is it helpful

This transforms your revenue predictability from guesswork to science, giving you accurate forecasts that enable better resource planning, investor communication, and strategic decision-making. You'll identify pipeline bottlenecks, improve deal progression, and increase forecast accuracy by 20-30 percentage points while enabling more effective sales coaching and performance management.

10 ways to make the most out of this prompt

1. Create automated pipeline alerts by setting up notifications when deals stall, key activities are missed, or probability changes significantly
2. Build predictive deal scoring by using historical data to identify which deals are most likely to close and when
3. Develop sales coaching automation by creating personalized coaching recommendations based on individual rep pipeline patterns and performance
4. Generate territory optimization by analyzing pipeline distribution and rep capacity to balance workloads and maximize revenue potential
5. Create competitive win/loss analysis by tracking patterns in deals lost to specific competitors and developing counter-strategies
6. Build customer buying journey mapping by analyzing successful deal progression patterns and replicating them across the sales team
7. Develop quota and capacity planning by using pipeline data to set realistic targets and identify hiring or territory adjustment needs
8. Generate sales process optimization by identifying bottlenecks and friction points that slow deal progression or reduce win rates
9. Create board and investor reporting by building automated revenue forecasts and pipeline health reports for stakeholder communication
10. Build retention improvement programs by identifying early warning signs of churn and creating intervention workflows

Product-Led Growth Strategy & Implementation

Prompt

You are a product-led growth strategist who has successfully implemented PLG motions at companies like Slack, Zoom, and Atlassian. I need you to analyze our current product and create a comprehensive PLG transformation strategy.

**Product Information:**
- Product description: [describe your product]
- Current pricing model: [describe pricing tiers]
- Trial/freemium offering: [describe current offering]
- Time to value: [how long for users to see value]
- Core value metric: [what drives user success]

**Current Usage Data:**
"""
[Upload CSV with: User ID, signup date, activation events, feature usage, trial length, conversion to paid, expansion events, churn date, user segment]
"""

**Business Metrics:**
- Current conversion rate (trial to paid): [percentage]%
- Average time to upgrade: [days]
- Product qualified leads (PQLs) per month: [number]
- Revenue from product-led channels: [percentage]% of total
- User onboarding completion rate: [percentage]%
- Feature adoption rates: [list key features and adoption %]

**Organizational Context:**
- Sales-led vs. product-led revenue split: [current ratio]
- Product team size: [number]
- Growth/product marketing team size: [number]
- Engineering resources available: [capacity description]

Create a comprehensive PLG implementation strategy:
1. Product-Led Growth audit (current state vs. PLG best practices)
2. User journey optimization (signup to activation to expansion)
3. Freemium/trial strategy recommendations (what to gate, what to give away)
4. In-product growth mechanisms (viral loops, sharing, collaboration features)
5. Product Qualified Lead (PQL) scoring and handoff processes
6. Onboarding and activation optimization roadmap
7. Expansion and upsell triggers within the product experience
8. Metrics framework and growth dashboard design
9. Sales and product team alignment protocols
10. 6-month implementation roadmap with engineering requirements

Structure as an executable transformation guide with specific features, experiments, and success metrics.


Mandatory files and data needed

• Product usage analytics with user behavior and conversion data
• Current pricing structure and conversion rates
• User onboarding flow and completion rates
• Trial or freemium program performance metrics

Optional files and data required

• Customer interviews about product experience and buying process
• Competitive analysis of PLG strategies in your market
• Engineering team capacity and product roadmap
• Customer support data on common user questions and friction points

Why is it helpful

This transforms your traditional sales-led approach into a scalable, product-driven growth engine that reduces customer acquisition costs and accelerates revenue growth. You'll create a self-service experience that lets customers discover and adopt your product naturally, typically reducing CAC by 30-50% while improving customer satisfaction and reducing sales cycle length.

10 ways to make the most out of this prompt

1. Create behavioral cohort analysis by segmenting users based on activation patterns and predicting expansion opportunities
2. Build in-product experimentation programs by designing A/B tests for onboarding flows and feature discovery mechanisms
3. Develop product marketing strategies by creating content that drives specific user behaviors and feature adoption
4. Generate sales handoff optimization by defining exactly when and how to transition product users to sales conversations
5. Create viral growth mechanisms by identifying sharing and collaboration features that drive organic user acquisition
6. Build customer success automation by triggering support or guidance based on user behavior patterns and usage data
7. Develop pricing optimization experiments by testing different freemium limits and upgrade trigger points
8. Generate competitive differentiation by analyzing PLG approaches and identifying unique growth mechanisms for your market
9. Create cross-sell and upsell automation by building product usage patterns that predict expansion readiness
10. Build retention improvement programs by identifying early warning signs of churn and creating intervention workflows

Customer Lifetime Value & Retention Analysis

Prompt

You are a customer analytics expert specializing in SaaS metrics and retention optimization. I need you to analyze our customer data and create strategies to maximize lifetime value and reduce churn.

**Customer Cohort Data:**
"""
[Upload CSV with: Customer ID, signup date, industry, plan type, monthly/annual, initial contract value, expansions, contractions, churn date, churn reason, support tickets, NPS scores, product usage metrics]
"""

**Financial Context:**
- Current average LTV: $[amount]
- Current average CAC: $[amount]
- Target LTV:CAC ratio: [ratio]
- Current monthly churn rate: [percentage]%
- Current annual churn rate: [percentage]%
- Target churn rate: [percentage]%
- Gross revenue retention: [percentage]%
- Net revenue retention: [percentage]%

**Operational Details:**
- Customer success team structure: [describe team and processes]
- Onboarding process length: [timeline]
- Average time to first value: [timeframe]
- Support response times: [current SLAs]
- Current retention initiatives: [list current programs]

Provide a comprehensive LTV optimization strategy:
1. Cohort analysis and churn pattern identification (by segment, time, behavior)
2. Churn prediction model and early warning system design
3. Customer health scoring methodology with intervention triggers
4. Retention program recommendations (onboarding, engagement, success)
5. Expansion opportunity identification and systematic approach
6. Customer segmentation strategy for differentiated experiences
7. Product usage optimization for higher retention
8. Pricing and packaging recommendations to improve LTV
9. Customer success team optimization and capacity planning
10. Financial impact projections and ROI calculations for all initiatives

Format as a strategic plan with specific tactics, timelines, and measurable outcomes.


Mandatory files and data needed

• Customer database with lifecycle data, usage metrics, and financial information
• Historical churn data with reasons and timing
• Current LTV, CAC, and retention rate calculations
• Customer success team structure and current retention programs

Optional files and data required

• Customer satisfaction surveys and NPS trend data
• Support ticket analysis and resolution patterns
• Product feature usage and adoption analytics
• Competitive churn and retention benchmarks for your industry

Why is it helpful

This gives you a clear roadmap to increase customer lifetime value while reducing churn, directly impacting your most important growth metrics. You'll identify exactly which customers are at risk, when to intervene, and what actions drive the highest retention, typically improving net revenue retention by 10-20 percentage points and extending average customer lifespans significantly.

10 ways to make the most out of this prompt

1. Create predictive churn models by building machine learning algorithms that identify at-risk customers weeks before they typically churn
2. Build automated customer health monitoring by setting up real-time alerts when health scores drop below certain thresholds
3. Develop personalized retention campaigns by creating targeted interventions based on specific churn risk factors and customer segments
4. Generate expansion revenue playbooks by identifying usage patterns that predict successful upsell and cross-sell opportunities
5. Create customer success optimization by analyzing which CSM behaviors and touchpoints most improve retention rates
6. Build pricing strategy improvements by testing different contract structures and payment terms that increase customer stickiness
7. Develop product adoption programs by creating guided experiences that drive users to high-retention features and use cases
8. Generate competitive retention strategies by understanding why customers leave for competitors and addressing those gaps
9. Create customer advocacy programs by identifying high-LTV customers who could become references and drive referral growth
10. Build financial planning models by projecting the revenue impact of different retention improvement scenarios and investment levels

Market Expansion & Go-to-Market Strategy

Prompt

You are a market expansion strategist who has successfully launched products into new markets, segments, and geographies for high-growth B2B companies. I need you to evaluate expansion opportunities and create a systematic go-to-market plan.

**Current Market Position:**
- Primary market/vertical: [current focus]
- Geographic coverage: [current markets]
- Current customer segments: [list segments with percentages]
- Market penetration: [percentage] of addressable market
- Revenue by segment: [breakdown by vertical/geography]

**Expansion Opportunities Under Consideration:**
"""
[List potential new markets, verticals, geographies, or customer segments with any initial research or data you have]
"""

**Market Research Data:**
"""
[Upload any market sizing data, competitive analysis, customer research, or preliminary validation data for expansion opportunities]
"""

**Resource Constraints:**
- Available budget for expansion: $[amount]
- Timeline for expansion: [timeframe]
- Sales team capacity: [current team size and bandwidth]
- Marketing team capacity: [resources available]
- Product limitations: [any technical or feature constraints]
- Regulatory considerations: [compliance or legal factors]

Develop a comprehensive market expansion strategy:
1. Market opportunity assessment (TAM, SAM, SOM analysis for each option)
2. Market attractiveness matrix (opportunity size vs. ease of entry)
3. Competitive landscape analysis for new markets
4. Customer research and validation requirements
5. Go-to-market strategy for top opportunities (positioning, messaging, channels)
6. Resource requirements and investment planning
7. Success metrics and milestones for each expansion
8. Risk assessment and mitigation strategies
9. Sequencing and timing recommendations (which markets first, why)
10. 12-month expansion roadmap with quarterly objectives

Present as a strategic decision framework with clear recommendations and business cases.


Mandatory files and data needed

• Current market analysis and customer segmentation data
• Revenue breakdown by existing markets and customer types
• List of potential expansion opportunities with initial research
• Resource availability and budget constraints

Optional files and data required

• Market research reports for target expansion areas
• Competitive intelligence for new markets being considered
• Customer interviews or surveys about adjacent needs
• Sales team feedback on market opportunities they've encountered

Why is it helpful

This transforms your expansion decisions from gut instinct to data-driven strategy, ensuring you invest in the highest-potential markets while avoiding costly mistakes. You'll have a systematic approach to evaluating and entering new markets, typically improving expansion success rates by 40-60% while maximizing resource efficiency and time-to-revenue in new segments.

10 ways to make the most out of this prompt

1. Create market validation experiments by designing low-cost tests to validate demand before full market entry investments
2. Build competitive intelligence systems by monitoring competitor moves and market changes in target expansion areas
3. Develop partnership strategies by identifying companies that could accelerate market entry through joint ventures or channel partnerships
4. Generate content marketing strategies by creating thought leadership and educational content tailored to new market segments
5. Create sales enablement materials by developing market-specific battle cards, talk tracks, and case studies for new segments
6. Build pricing optimization models by testing different pricing strategies for new markets based on local competitive dynamics
7. Develop customer acquisition strategies by identifying the most effective channels and campaigns for reaching new market segments
8. Generate product development priorities by understanding feature gaps or modifications needed for successful market expansion
9. Create regulatory and compliance roadmaps by identifying legal requirements and certification needs for new geographic markets
10. Build financial modeling scenarios by projecting revenue, costs, and payback periods for different expansion timing and investment levels

Sales & Marketing Alignment Optimization

Prompt

You are a Revenue Operations expert specializing in sales and marketing alignment. You've helped dozens of B2B companies eliminate friction between teams and accelerate pipeline generation. I need you to audit our current alignment and create an optimization plan.

**Current Team Structure:**
- Marketing team size: [number] ([breakdown by function])
- Sales team size: [number] ([breakdown by role])
- RevOps/Operations support: [describe current state]
- Reporting structure: [how teams report and interact]

**Current Process & Metrics:**
"""
[Upload data showing: Lead handoff process, MQL definitions, SQL criteria, conversion rates at each stage, pipeline velocity, average deal size, win rates by source]
"""

**Pain Points & Conflicts:**
- Lead quality complaints: [describe sales feedback]
- Marketing attribution challenges: [describe tracking issues]
- Communication gaps: [describe current alignment issues]
- Process bottlenecks: [identify friction points]
- Technology integration issues: [describe system problems]

**Tools & Systems:**
- CRM platform: [current system]
- Marketing automation: [current platform]
- Sales engagement tools: [list tools]
- Attribution/analytics: [current tracking]
- Communication tools: [Slack, Teams, etc.]

Create a comprehensive alignment optimization strategy:
1. Current state assessment (gaps, inefficiencies, missed opportunities)
2. Ideal customer journey mapping (marketing touch to closed-won)
3. Lead qualification and handoff process redesign
4. Service Level Agreement (SLA) framework between teams
5. Technology integration and data flow optimization
6. Communication cadence and meeting structure recommendations
7. Shared metrics and accountability framework
8. Territory and account assignment optimization
9. Feedback loop mechanisms and continuous improvement processes
10. Implementation roadmap with change management considerations

Structure as an operational playbook with specific processes, tools, and governance structures.


Mandatory files and data needed

• Lead flow and conversion data from marketing to sales
• Current team structures and reporting relationships
• Technology stack overview and integration points
• List of current alignment challenges and pain points

Optional files and data required

• Employee survey results on cross-team collaboration
• Customer feedback on buying experience consistency
• Revenue attribution analysis across teams
• Historical performance data showing alignment impact on results

Why is it helpful

This eliminates the costly friction between your sales and marketing teams that typically wastes 20-30% of potential pipeline value. You'll create seamless handoffs, shared accountability, and unified processes that accelerate deal velocity, improve conversion rates, and increase revenue predictability while boosting team satisfaction and collaboration.

10 ways to make the most out of this prompt

1. Create automated lead scoring and routing by building workflows that eliminate manual handoffs and ensure consistent lead follow-up
2. Build shared dashboard systems by designing unified reporting that gives both teams visibility into the full customer journey
3. Develop joint campaign planning by creating processes for sales and marketing to collaborate on target accounts and messaging
4. Generate feedback loop automation by setting up systematic collection and analysis of lead quality and sales outcomes
5. Create cross-team training programs by developing education sessions where sales teaches marketing about objections and marketing teaches sales about campaigns
6. Build account-based marketing alignment by coordinating sales prospecting with marketing campaigns for target accounts
7. Develop attribution modeling improvements by creating multi-touch attribution that fairly credits both teams for revenue contribution
8. Generate competitive intelligence sharing by building systems for sales to feed market intel back to marketing for campaign optimization
9. Create customer journey optimization by mapping and improving every touchpoint from first marketing contact to closed-won and beyond
10. Build performance incentive alignment by designing compensation and goal structures that reward collaboration and shared outcomes

‍

This guide equips you with 12 battle-tested ChatGPT prompts that address your most critical growth challenges. Whether you're optimizing attribution models, developing expansion strategies, or building predictive forecasting systems, these prompts provide the analytical framework and strategic thinking you need to accelerate growth while maximizing efficiency.