Moby 101: Prompting Guide

Prompts that turn your data into decisions — fast.

Creative analysis prompts

Customer retention prompts

Customer acquisition prompts

Website conversion prompts

Whether you're scaling spend, fixing ROAS, or refreshing creative, there's a Moby prompt for that. Here are 100 of our best Moby prompts to help you turn insights into income, fast.

Creative analysis prompts

Great ads don’t just happen — they’re built from patterns, insights, and iteration. This section helps you uncover what’s working (and what’s not) in your creative portfolio by analyzing formats, hooks, placements, fatigue trends, and more.

How to use these prompts:

  1. Run them weekly or bi-weekly to guide your ad refresh cycles.
  2. Use them to brief designers and UGC creators with data-backed ideas.
  3. Explore creative effectiveness by audience, placement, and funnel stage.
  4. Spot trends in high-AOV or high-ROAS creative elements to scale.

1. Top-Performer Analysis & Scaling

Identifying what’s working and how to do more of it.

  • What common themes do my top-performing creatives share? How can I create more winning creatives?

  • Identify my most successful creative elements that I should scale across campaigns and which creative themes maintain performance when I increase budget.

  • Identify my creatives with the lowest cost-per-acquisition and generate new creatives inspired by these.

  • Which creative themes work best for my top 3 ad channels with the most ad spend?

  • Break down my creative elements (hooks, tones, visual styles, CTAs) and identify which combinations drive the highest performance across different audiences.

2. Creative Generation & Ideation

Produce new ad ideas based on past performance.

  • Generate new static images to test inspired by my top performing creatives.
  • Look at my best-selling product, analyze any ads running for these and generate 5 new ads to run on Meta.
  • Based on my top performing static creatives, create a brief for a 30 second video ad that features our best selling product.
  • Create a funny 15 second video ad that features my best selling product.
  • Generate 10 new headline variations based on my best-performing ad copy patterns.

3. Performance Deep Dives (Platform & Metric-Specific)

Granular performance breakdowns by platform, KPI, and channel.

  • Help me understand my top performing TikTok creatives by ROAS.
  • Analyze my video ad performance over the past 30 days – which videos have the strongest hooks, engagement rates, and conversion metrics?
  • Help me understand my meta creative performance over the past week vs previous period and make suggestions on what types of creatives I should make.
  • Give me my top performing static ads from last week sorted by CTR. Include spend data, creative URLs, and performance metrics for each ad.

4. Comparative & Audience-Based Analysis

Understand what works across markets, audiences, or funnel stages.

  • What creatives perform the best in the US vs other countries?
  • Which creative elements work best for new customer acquisition vs retargeting audiences?
  • What visual styles and messaging work best for each of my product categories?

5. Campaign Strategy & Trend Tracking

Performance over time and at higher-level strategy.

  • Analyze my creative performance trends over the last 30 days vs previous period and highlight any key insights.
  • What's the optimal creative refresh schedule based on my performance decay patterns?
  • How does creative performance change during promotional periods vs regular pricing?
  • Analyze my creative strategy for BFCM last year and tell me what worked well and what didn't.

6. Copy & Messaging Optimization

Refine headlines, copy, and themes.

  • What ad copy themes consistently drive the highest click-through rates across all my campaigns?
  • Generate 10 new headline variations based on my best-performing ad copy patterns.

7. Underperformance & Testing

Diagnose weak spots and testing improvements.

  • What ad copy themes consistently drive the highest click-through rates across all my campaigns?
  • Generate 10 new headline variations based on my best-performing ad copy patterns.

Customer retention prompts

Repeat purchases are the key to sustainable growth. This section focuses on uncovering the drivers of LTV — from first product purchased to lifecycle email impact — so you can build loyalty and reduce churn.

How to use these prompts:

  1. Identify which products, offers, and messages drive repurchase behavior.
  2. Audit the performance of email/SMS flows vs. campaigns.
  3. Surface loyalty and churn insights across cohorts and segments.
  4. Use the output to optimize win-back offers, flows, and content strategy.

1. Repeat Purchase Patterns

Understand when and why customers buy again

  • Which product categories deliver the highest repeat-purchase rate year-to-date?
  • Of the customers acquired in 2024, how many returned to purchase again in 2025?
  • List the 20 products that drive the most repeat purchases and hypothesize why they outperform.
  • Calculate the average time-to-second-purchase by acquisition channel and highlight opportunities to shorten that window.
  • At which stage of the customer lifecycle do users most commonly drop off?
  • How do email, SMS, and push campaigns influence repeat-purchase rates?
  • Recommend data-driven strategies we can implement right now to increase the repeat-purchase rate.
  • Analyze the effect of loyalty-program enrollment on repeat-purchase frequency and AOV.

2. Customer Value Segmentation

Compare AOV, LTV, and behavior across segments

  • Compare the lifetime value (LTV) of customers who used a first-order coupon versus those who did not.
  • Which acquisition channel brings in the highest-LTV customers?
  • How does AOV differ between returning customers and first-time purchasers?
  • Compare LTV for customers who bought [Product Set A] versus [Product Set B].
  • Which first-purchase products are most strongly correlated with the highest customer LTV?
  • Identify customer cohorts with rising churn risk based on declining order frequency and engagement metrics.

3. Discount Code Effectiveness

Evaluate revenue impact and efficiency of offers

  • Summarize the top five discount codes by average order value (AOV) for the past quarter.
  • Identify the most-used discount code last quarter and quantify the revenue it generated.

4. Lifecycle Email & SMS Performance

Identify the most effective flows, campaigns, and creatives

  • Summarize the five highest-revenue email campaigns last quarter and explain the drivers of their success.
  • Which email creative elements (subject lines, layouts, offers) have historically produced the best results with our audience?
  • Compare Klaviyo flows vs. campaigns this year on open rate, click-through rate, and revenue; highlight what works best in each.
  • Compare last month’s Klaviyo flows to last month’s campaigns on open rate and call out statistically significant differences, giving me tips on how to optimize.
  • What Klaviyo flows am I missing?

5. Attribution Analysis

Evaluate revenue credit across systems and models

  • Contrast Klaviyo-attributed revenue with Triple Whale attribution for last month and compare across attribution models.

6. Channel Influence Over Time

Track email & SMS engagement relative to revenue

  • Show the current YoY change in email & SMS sessions and correlate it with YoY revenue change.

7. Churn Prevention & Win-Back Strategy

Identify exit triggers and reactivation opportunities

  • For subscribers who canceled in the last 90 days, surface the top cancellation reasons and propose personalized win-back offers.

Customer acquisition prompts

Scaling paid media while maintaining efficiency requires clarity on what’s working across channels, campaigns, and customer types. These prompts help identify the levers that drive efficient growth, from attribution modeling to budget reallocation.

How to use these prompts:

  1. Prioritize campaigns and channels based on incremental customer revenue.
  2. Diagnose underperforming ad sets and shift budget in real time.
  3. Pair with Triple Whale’s MMM and attribution insights to evaluate efficiency.
  4. Plan seasonal pushes with data-backed strategies.

1. Channel Performance & Budget Allocation

Understand and optimize spend across platforms and tactics.

  • Take a look at my paid media strategy and give me tactical recommendations to scale the next year.
  • Rank my paid channels by incremental new-customer revenue and analyze top performing campaigns over the past 30 days with recommendations for next month.
  • Where do we have the opportunity to scale ad budget without sacrificing efficiency?
  • Identify high-performing ad sets that are underfunded and poor performers consuming budget to recommend immediate scaling and pausing decisions.
  • Using MMM (Marketing Mix Modeling) and prioritizing weekly new customer revenue, how should I optimize my current budget allocation?
  • What is my share of spend by channel for the last 12 months?
  • Compare Triple Attribution (TA), Total Impact (TI), and Total Impact + view through for our top campaigns, factoring in time to purchase insights and zero-party data impact.
  • Where can I optimize my strategy to increase Meta ROAS?

2. Attribution, Influence & Cross-Platform Insights

Deeper attribution, cross-channel influence, and efficiency tracking.

  • Give me a correlation analysis between Meta spend, Amazon spend, and Amazon revenue. Which one is the primary driver of Amazon revenue?
  • How much new customer revenue do my influencers and affiliates drive, and which partnerships offer the most efficient customer acquisition?
  • What role is retargeting playing in conversion? Is our budget allocation between prospecting and retargeting balanced?
  • Review my marketing efficiency for the last 90 days. What are my biggest opportunities to increase overall marketing efficiency while acquiring the same or more new customers for the next 90 days?

3. High-Value Audience Identification

Identify and target high-value or high-potential audiences.

  • What do my highest LTV customers look like and how can I find more new customers that resemble them?
  • Identify the Google keywords that brought first-time purchasers with the highest 90-day LTV.
  • Which geographic regions offer the best scaling opportunities for new customer acquisition?

4. Campaign & Creative-Level Insights

Understand what’s driving success or inefficiency at a granular level.

  • What are my top performing Meta campaigns in 2025?
  • Provide me a report of revenue and new customer ROAS broken out by channel for the last 7 days.
  • Which channels have the lowest CPCs and CPMs? How can I maintain overall efficiency as ad costs continue to rise?
  • What products are helping us acquire new customers for the lowest cost—and are we putting enough ad budget behind them?

5. Funnel & Web Performance

Evaluate traffic sources, landing page conversion, and device-level behavior.

  • Which landing pages convert the highest percentage of new customers? What are the key traffic sources for these pages?
  • How does our customer acquisition performance differ across device types?

6. Seasonality & Forecasting

Plan around promotional periods, Q4, and historical trends.

  • Compare customer acquisition performance during promotional vs regular periods and analyze seasonal patterns to prepare for Q4.
  • Review my customer acquisition strategy for BFCM last year and give me recommendations to crush it this year.
  • Using the last 2 years of data, forecast my new customer revenue for next quarter.

7. Reporting & Monitoring

Establish reporting cadences and track progress toward acquisition goals.

  • Generate 10 new headline variations based on my best-performing ad copy patterns.

Website Conversion

Your site is the final conversion lever. These prompts help you pinpoint where users drop off, which pages and CTAs convert best, and what design or UX elements are helping (or hurting) performance.

How to use these prompts:

  1. Audit funnel stages and test fixes to reduce friction.
  2. Explore how different segments (e.g. new vs. returning) convert.
  3. Prioritize tests for landing pages, checkout fields, and popups.
  4. Pair with organic and paid search data to align intent with experience.

1. Funnel Optimization

Pinpoint where shoppers drop off and how to guide them through the buying journey

  • Analyze my full website conversion funnel (landing page → product page → cart → checkout) to pinpoint the biggest drop-off steps and reveal which traffic sources convert best at each stage. Provide the three highest-ROI tests to raise overall CVR.
  • For new vs. returning visitors, contrast add-to-cart, checkout completion, and CVR, then suggest personalized tactics for each segment.
  • Map the checkout form and show which fields drive the most abandonment; advise on field removal, autofill, or validation tweaks.
  • Identify where buyers abandon due to shipping costs—pre-shipping view, rate calculator, or final step—and propose pricing or messaging tests.
  • Analyze the impact of free-shipping thresholds: What share of carts falls just below the threshold, and how would changing it by $10 affect revenue and CVR?

2. Page-Level Performance

Highlight which pages drive conversions—and which need immediate attention

  • Rank my top 20 landing pages by CVR, AOV, and revenue per session; summarize common traits of winners and under-performers.
  • Identify the five slowest-loading pages and quantify how page-load time affects bounce rate and CVR; outline quick-win performance fixes.
  • Identify organic landing pages that rank on page 1 but have high bounce rate and low CVR; recommend copy or offer tests to close the conversion gap.
  • Correlate scroll depth on landing pages with CVR; advise where to place key CTAs for maximum impact.
  • Segment traffic by marketing channel (paid search, paid social, organic, email) and list landing pages with widest CVR spread; propose channel-specific experiments.

3. Creative & UX Testing

Refine visuals, layout, and calls-to-action to increase engagement and conversions

  • Evaluate the hero images on product pages—click-through to cart, scroll depth, time on page—and propose creative tests.
  • Compare conversion impact of video vs. static images on product pages; recommend creative priorities based on engagement metrics.
  • Identity what CTA button copy variations (“Buy Now,” “Add to Bag,” “Get Yours”) have worked best across desktop and mobile; recommend the best variant per device.
  • Compare on-site promotion banners with and without countdown timers for click-through and CVR; highlight statistically significant winners.
  • Have trust badges (e.g., payment security, money-back guarantee) influenced checkout completion? How so, and suggest optimal placement.

4. Audience Segmentation

Tailor site experience by understanding how different user types behave

  • Compare conversion rate by device (desktop, mobile, tablet) for the past 90 days and recommend mobile-first optimizations to close any gaps.
  • Measure the lift from personalized product recommendations (recently viewed, “you might also like”) versus generic suggestions.
  • Evaluate pop-up timing (entry, scroll 50%, exit-intent) on email capture forms and correlate with add-to-cart and purchase rate; recommend the best timing.
  • Assess upsell bundles: Which bundles convert best, and what incremental AOV do they add vs. single-item carts?

5. On-Site Search & Intent Gaps

Unlock missed revenue by improving high-intent browsing behavior

  • Unlock missed revenue by improving high-intent browsing behavior
  • List the top 10 search queries with high impressions but below-average organic CTR; suggest meta-title and description tweaks to lift clicks and downstream conversions.
  • Surface keywords that drive high session volume but low (or zero) purchases; recommend on-page messaging or funnel changes to capture that intent.

6. Social Proof & Conversion Confidence

Use reviews and trust signals to reduce hesitation and boost checkout rate

  • Analyze how review volume and star rating influence purchase decisions; suggest ways to surface social proof to maximize CVR.
  • Have trust badges (e.g., payment security, money-back guarantee) influenced checkout completion? How so, and suggest optimal placement.

7. SEO Traffic vs. Conversion

Bridge the gap between organic visibility and revenue-generating performance

  • Compare CVR for traffic driven by branded vs. non-branded keywords; outline tactics to boost non-branded keyword conversion (e.g., tailored value props, trust elements).
  • Track keyword ranking changes over the last quarter and flag terms where ranking gains haven’t translated into conversion gains; propose fixes to capitalize on new visibility.