Marketing Prompts to Understand Your Business Better

You are a revenue operations manager reviewing the sales and marketing alignment on pipeline generation. Data: [PASTE: MQL volume by source | SQL conversion rate by source | Pipeline generated by marketing | Pipeline generated by sales | Marketing-sourced pipeline win rate | Sales-sourced pipeline win rate | Any SLA (lead response time / feedback on lead quality)] Review: 1. Pipeline contribution — what % of pipeline comes from marketing vs. sales-generated? Is this the right balance? 2. Lead quality debate — are sales reps rejecting marketing leads? Analyze the rejection rate and reasons 3. SLA compliance — is sales following up on marketing leads within the agreed time? 4. Win rate comparison — does marketing-sourced pipeline win at the same rate as sales-sourced? 5. Feedback loop — is there a formal mechanism for sales to give marketing feedback on lead quality? Output: Alignment review. Pipeline contribution analysis. SLA compliance. Quality assessment. Recommendations to improve collaboration.

You are a product marketing manager preparing a monthly competitive intelligence update. Intelligence sources: [DESCRIBE: Sources monitored — competitor websites / G2 reviews / press releases / LinkedIn / customer conversations / analyst reports / lost deal interviews] Report on: 1. Product updates — any new features, integrations, or pricing changes from top 3 competitors 2. Market positioning changes — any shifts in how competitors are messaging or targeting 3. Customer movement — any notable wins or losses to specific competitors this month 4. Sales and marketing signals — new sales hires, campaigns, or partnerships that signal competitive intent 5. Analyst and review site movements — any changes in G2/Gartner/Forrester positioning Output: Monthly competitive intelligence brief. Top 5 actionable items for sales and product. Nothing to action — no fluff.

You are a VP of Product Marketing reviewing your competitive positioning. Data: [DESCRIBE: Current positioning statement, ICP, top 3 competitors, where you win vs. where you lose, G2/Capterra review themes, recent customer interview feedback, sales team's stated competitive challenges] Review positioning for: 1. Differentiation clarity — does your positioning clearly state how you are different from alternatives, not just better? 2. ICP alignment — is your positioning speaking to the people who actually buy you? 3. Evidence support — do you have proof points (data, customer quotes, analyst recognition) that back each positioning claim? 4. Competitive response — does your positioning neutralize competitor strengths or does it ignore them? 5. Sales adoption — can your reps articulate your positioning in one sentence without a slide deck? Output: Positioning review findings. Gaps between current positioning and what would win more. Recommended positioning updates. One sentence positioning test.

You are a customer marketing manager building the reference and case study pipeline. Customer data: [PASTE: Account | Industry | Use case | NPS score | ARR | Reference status (willing/not asked/declined) | Existing assets (case study/video/quote/review site) | Last reference request date] Analyze: 1. Reference coverage — do you have references for each major industry and use case in your ICP? 2. Reference concentration — are you relying on the same 3–5 customers for all reference requests? 3. Asset gaps — use cases or industries with no published case study or social proof 4. New reference candidates — high-NPS customers not yet asked; warm them with an advocate ask 5. Reference fatigue — customers asked too frequently; track requests per customer per quarter Output: Reference and case study gap analysis. Priority customers to develop as new references. Asset creation plan by use case and industry. Reference request frequency guidelines.

You are a data analyst translating content analytics into strategic recommendations for what to double down on, fix, or retire. Your role is to move past vanity metrics and identify patterns in what content actually drives business outcomes for your company. Provide: - [PASTE: Content performance data (CSV or text: title, views, time-on-page, bounce rate, conversions, revenue if tracked)] - [PASTE: What constitutes success for your business (lead generation, product signups, revenue, etc.)] - [PASTE: Your content goals (brand awareness, demand gen, thought leadership, etc.)] - [PASTE: Any recent content initiatives or major changes] Analyze and provide: 1. Top performers by metric (views, engagement, conversion rate, revenue contribution) 2. Content clusters analysis (which topics/formats perform best) 3. Underperformers (high effort, low return) with recommendations (update, reposition, archive) 4. Gap analysis (content addressing buyer journey stages you're weak on) 5. Topic authority assessment (do you own specific topic areas?) 6. Distribution channel effectiveness (organic search, social, email, paid, referral) 7. Specific optimization recommendations for top-20 content (refreshes, link building, etc.) 8. New content priorities based on gaps and trending topics 9. Content portfolio rebalancing (if you're over-indexed on one topic, under-indexed on another) 10. Success metrics going forward (what to measure and targets) Provide a 90-day action plan (quick wins + longer-term bets).

You are a paid media strategist conducting comprehensive audits of Google Ads, Facebook, or LinkedIn ad accounts to identify waste and optimization opportunities. Your role is to surface hidden issues (poor quality scores, wrong audiences, overspending) that drain budget without results. Provide: - [PASTE: Ad account performance data (campaign name, spend, clicks, conversions, CPC, conversion rate)] - [PASTE: Target CPC or CAC budget] - [PASTE: Campaign objectives (lead generation, ecommerce sales, app installs, etc.)] - [PASTE: Recent changes (budget shifts, audience changes, bid changes)] Conduct audit and provide: 1. Account health scorecard: - Quality score distribution (Google Ads) - Ad relevance issues - Landing page experience flags - Bid strategy performance 2. Campaign-by-campaign analysis: - Performance vs. goals (over/under achieving) - Efficiency metrics (CPC, CAC, ROAS if applicable) - Under-performing campaigns (candidates for pause/reallocation) - Scaling opportunities (high-performing campaigns to increase budget) 3. Audience and targeting issues: - Audience overlap (competitors for same budget) - Irrelevant audience inclusions - Opportunities for tighter targeting 4. Creative audit: - Ad copy performance (best/worst performers) - Visual asset performance (if applicable) - Fatigue indicators (older ads underperforming) 5. Budget allocation analysis: - Current vs. recommended allocation - Cost per result by campaign - Specific reallocation recommendations (reduce X by 20%, increase Y by 30%) 6. Keyword/search audit (if applicable): - High-cost, low-conversion keywords to pause - High-converting keywords to bid higher on - Negative keyword gaps 7. Action plan: - Immediate changes (kill obvious waste) - 30-day experiments (test new audiences, creative, bidding) - Expected impact (projected efficiency improvement, timeline) Provide analysis in presentation-ready format with specific, executable recommendations.

Design targeted audience segments and lookalike strategies to improve ad relevance and reduce waste. [PASTE: Your audience segmentation strategy requirements and goals here] Provides: Strategic framework, actionable recommendations, and measurement approach for audience segmentation strategy.

Choose and implement bid strategies that balance cost control with conversion volume. [PASTE: Your bid strategy optimization requirements and goals here] Provides: Strategic framework, actionable recommendations, and measurement approach for bid strategy optimization.

Determine optimal channel mix and understand how channels contribute to conversions. [PASTE: Your channel mix & attribution requirements and goals here] Provides: Strategic framework, actionable recommendations, and measurement approach for channel mix & attribution.

Design multi-touch attribution model that shows how channels contribute to conversions. [PASTE: Your attribution model framework requirements and goals here] Provides: Strategic framework, actionable recommendations, and measurement approach for attribution model framework.

Analyze customer cohorts to understand acquisition quality and retention trends. [PASTE: Your cohort analysis framework requirements and goals here] Provides: Strategic framework, actionable recommendations, and measurement approach for cohort analysis framework.

Map steps customers take from awareness to conversion and retention. [PASTE: Your customer journey mapping requirements and goals here] Provides: Strategic framework, actionable recommendations, and measurement approach for customer journey mapping.

Build models to forecast churn, conversion likelihood, and customer lifetime value. [PASTE: Your predictive analytics modeling requirements and goals here] Provides: Strategic framework, actionable recommendations, and measurement approach for predictive analytics modeling.

Segment customers to identify high-value segments and tailor strategy. [PASTE: Your segmentation analysis requirements and goals here] Provides: Strategic framework, actionable recommendations, and measurement approach for segmentation analysis.

Analyze conversion rates at each funnel stage to identify bottlenecks. [PASTE: Your funnel analysis & optimization requirements and goals here] Provides: Strategic framework, actionable recommendations, and measurement approach for funnel analysis & optimization.

Quantify impact of each marketing activity on business outcomes. [PASTE: Your marketing mix modeling requirements and goals here] Provides: Strategic framework, actionable recommendations, and measurement approach for marketing mix modeling.

Analyze customer feedback to understand competitive positioning. [PASTE: Your win/loss analysis requirements and goals here] Provides: Strategic framework, actionable recommendations, and measurement approach for win/loss analysis.

Define how marketing influences opportunities to attribute revenue fairly. [PASTE: Your opportunity influence framework requirements and goals here] Provides: Strategic framework, actionable recommendations, and measurement approach for opportunity influence framework.