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Prompt Details

Model
Chat - (gpt-5.6)
Token size
3,432
Example input
[PRODUCT INFORMATION]: Product: Hydrating Facial Serum 30ml Category: Beauty & Personal Care Price: $18.90 Main selling points: Hydrating, lightweight texture, suitable for daily use Current listing: Product title, description, 5 product images, and customer reviews Average rating: 4.7/5 Review count: 328 [PERFORMANCE EVIDENCE]: Last 30 days: - Product views: 8,420 - Add to cart: 612 - Orders: 184 - Revenue: $3,477.60 - Conversion rate: 2.18% Previous 30 days: - Product views: 10,850 - Orders: 276 - Revenue: $5,216.40 - Conversion rate: 2.54% Traffic sources: - Search: 5,920 views - Ads: 1,840 views - Product recommendations: 660 views Ads: - Ad spend: $420 - Attributed sales: $1,260 - ROAS: 3.0 [MARKETPLACE CONTEXT]: Marketplace: General e-commerce marketplace Target customers: Adults interested in facial skincare Main competitors: Similar hydrating serums priced between $15–$25 Current promotion: 10% discount The product has been listed for approximately 8 months. [ANALYSIS GOAL]: Identify the main areas contributing to the decline in product performance and determine which areas should be prioritized for improvement.
Example output
# Performance Insight ## 1. Executive Performance Summary The product shows a **clear 30-day performance decline versus the previous 30-day period**, with declines across the three core outcome metrics available: * **Product views:** 10,850 → 8,420, down **22.4%** * **Orders:** 276 → 184, down **33.3%** * **Revenue:** $5,216.40 → $3,477.60, down **33.3%** * **Conversion rate:** 2.54% → 2.18%, down **0.36 percentage points** or approximately **14.2% relative** The evidence therefore indicates that the decline is **not explained by traffic loss alone**. Traffic decreased, but conversion rate also decreased, meaning the product generated fewer orders both because it received fewer views and because the observed conversion rate was lower. The strongest verified performance signal is the existing customer rating of **4.7/5 across 328 reviews**, although this does not establish that customer satisfaction is driving current sales performance. Ads generated **$1,260 in attributed sales from $420 spend, with reported ROAS of 3.0**. This confirms measurable attributed advertising sales, but the available ad evidence is insufficient to determine whether ads are improving overall product performance, because ad impressions, clicks, ad orders, CPC, and comparative ad-period data are unavailable. **Primary priority:** investigate the simultaneous **traffic decline and conversion-rate decline**, while preserving and evaluating the advertising activity separately. --- ## 2. Performance Objective **Primary objective:** identify the evidence-supported contributors to the decline in orders and revenue between the two 30-day periods and determine which areas should be investigated or improved first. The available evidence supports evaluation of: 1. Traffic volume and source mix 2. Conversion and order efficiency 3. Revenue and order trends 4. Advertising efficiency 5. Customer-rating evidence SEO, promotion effectiveness, and customer-segment performance cannot currently be evaluated with sufficient evidence. --- ## 3. Evidence Summary | Evidence | Verified Information | Relevance | | ----------------------- | ------------------------------------- | ----------------------------------------------------------- | | Product | Hydrating Facial Serum 30ml | Establishes the product being evaluated | | Category | Beauty & Personal Care | Marketplace context | | Price | $18.90 | Allows revenue/order consistency check | | Product views | 8,420 current; 10,850 previous | Direct evidence of traffic decline | | Add to cart | 612 current | Allows limited funnel analysis | | Orders | 184 current; 276 previous | Direct evidence of order decline | | Revenue | $3,477.60 current; $5,216.40 previous | Direct evidence of sales decline | | Conversion rate | 2.18% current; 2.54% previous | Direct evidence of lower conversion | | Search traffic | 5,920 views | Largest reported traffic source | | Ad traffic | 1,840 views | Significant reported traffic source | | Product recommendations | 660 views | Smaller reported traffic source | | Ad spend | $420 | Allows advertising efficiency evaluation | | Attributed ad sales | $1,260 | Direct advertising attribution evidence | | ROAS | 3.0 | Direct advertising efficiency metric | | Rating/reviews | 4.7/5; 328 reviews | Customer-quality signal | | Promotion | 10% discount | Current promotional context | | Listing age | Approximately 8 months | Contextual information | | Competitor price range | $15–$25 | Provided market context, but no competitor performance data | --- ## 4. KPI Assessment | KPI | Value | Status | Evidence Basis | Evaluation | | ------------------- | --------: | ------------ | ------------------------- | ------------------------------------------------------------------------------------------ | | Product views | 8,420 | **Weak** | Down 22.4% from 10,850 | Traffic volume materially declined | | Orders | 184 | **Weak** | Down 33.3% from 276 | Orders declined faster than views | | Revenue | $3,477.60 | **Weak** | Down 33.3% from $5,216.40 | Sales output materially declined | | Conversion rate | 2.18% | **Weak** | Down from 2.54% | Conversion efficiency deteriorated | | Add-to-cart rate | 7.27% | **Moderate** | 612 / 8,420 | Current funnel metric is calculable; no prior-period cart data | | Cart-to-order rate | 30.1% | **Moderate** | 184 / 612 | Indicates only about 30% of recorded carts became orders; no benchmark or prior comparison | | Revenue/order | $18.90 | **Strong** | $3,477.60 / 184 | Exactly matches stated product price | | Ad spend | $420 | **Moderate** | Current-period evidence | Spend is measurable, but no previous-period comparison | | Ad-attributed sales | $1,260 | **Moderate** | Current-period evidence | Advertising generated attributed sales | | ROAS | 3.0 | **Moderate** | $1,260 / $420 | Efficiency is measurable, but no benchmark or historical comparison is provided | | Rating | 4.7/5 | **Strong** | 328 reviews | Numerically high customer-rating signal; no benchmark supplied | **Important:** "Strong" and "Weak" here describe the evidence-supported performance condition where a meaningful trend or direct signal exists, **not an external marketplace benchmark**. --- ## 5. Traffic Analysis ### Verified Information Current product views are **8,420**, compared with **10,850** in the previous 30 days. Traffic therefore decreased by: **2,430 views / 22.4%** Current reported traffic sources: | Source | Views | Share of reported views | | ----------------------- | --------: | ----------------------: | | Search | 5,920 | 70.3% | | Ads | 1,840 | 21.9% | | Product recommendations | 660 | 7.8% | | **Total** | **8,420** | **100%** | ### Evaluation Traffic declined materially between periods. Search is currently the largest reported source, representing approximately **70.3%** of current product views. ### Interpretation The evidence supports a **traffic-volume barrier**, but does not establish why traffic decreased. Because previous-period source-level traffic is unavailable, it cannot yet be determined whether the decline came primarily from: * search; * ads; * recommendations; * or another traffic source not represented in the available breakdown. ### Limitation No previous-period traffic-source breakdown, impressions, clicks, search visibility, keyword rankings, or source-level conversion data is provided. **Status: Moderate evidence for traffic decline; insufficient evidence for its cause.** --- ## 6. Conversion Analysis ### Verified Information Current: * Views: 8,420 * Add to cart: 612 * Orders: 184 * Reported conversion rate: 2.18% Previous: * Views: 10,850 * Orders: 276 * Conversion rate: 2.54% The reported current conversion rate is consistent with: **184 ÷ 8,420 ≈ 2.18%** The previous rate is also consistent with: **276 ÷ 10,850 ≈ 2.54%** Current add-to-cart rate: **612 ÷ 8,420 ≈ 7.27%** Current cart-to-order rate: **184 ÷ 612 ≈ 30.1%** ### Evaluation Conversion efficiency deteriorated alongside traffic. The decline of approximately **14.2% relative** in conversion rate means the order decline was greater than the traffic decline: * Views: **−22.4%** * Orders: **−33.3%** ### Interpretation This is one of the most important findings. The evidence indicates that **traffic decline alone does not account for the full order decline**. A lower conversion rate contributed to the lower order volume mathematically. However, the evidence does **not** establish what caused the conversion-rate decrease. ### Limitation There is no previous-period add-to-cart data, checkout data, source-level conversion data, device breakdown, listing experiment data, or customer-segment data. **Status: Weak current trend, with insufficient evidence for the underlying cause.** --- ## 7. Sales Analysis ### Verified Information | Metric | Previous 30 Days | Last 30 Days | Change | | ------------- | ---------------: | -----------: | ------------: | | Orders | 276 | 184 | **−33.3%** | | Revenue | $5,216.40 | $3,477.60 | **−33.3%** | | Revenue/order | $18.90 | $18.90 | **No change** | The calculated revenue per order matches the stated **$18.90 product price** in both periods. ### Evaluation Revenue declined exactly in line with order volume. This is important because there is **no evidence of a decline in revenue per order** in the supplied data. ### Interpretation The sales decline is therefore primarily associated with **fewer orders**, rather than a detectable change in revenue generated per order. Given: **184 × $18.90 = $3,477.60** and **276 × $18.90 = $5,216.40** the sales data is internally consistent. ### Limitation No information is provided about multiple-item orders, other products purchased in the same transaction, refunds, cancellations, fees, or changes in product pricing outside the supplied $18.90 figure. **Status: Weak trend because sales performance declined; evidence is strong for the order/revenue relationship.** --- ## 8. SEO Performance ### Verified Information The product received **5,920 views from Search** during the current period. ### Evaluation Search is the largest reported traffic source, accounting for approximately **70.3%** of current product views. ### Interpretation Search traffic is clearly relevant to the product's current traffic acquisition. However, the available evidence does not establish whether search visibility has improved or deteriorated. ### Limitation Missing: * search impressions; * search clicks; * CTR; * keyword rankings; * keyword-level traffic; * previous-period search traffic; * organic/search conversion rate. **Status: Insufficient Evidence** for evaluating SEO performance or diagnosing an SEO-related cause of the overall decline. --- ## 9. Promotion Performance ### Verified Information The product currently has a **10% discount**. ### Evaluation The existence of the discount can be verified from the supplied context, but its performance effect cannot be evaluated. ### Interpretation There is no evidence establishing whether the promotion is helping, neutral, or negatively affecting performance. ### Limitation No pre-promotion/post-promotion comparison, promotional-period history, voucher usage, orders attributed to the promotion, or revenue comparison is provided. **Status: Insufficient Evidence.** --- ## 10. Ads Performance ### Verified Information * Ad spend: **$420** * Attributed sales: **$1,260** * Reported ROAS: **3.0** * Ad-source views: **1,840** The supplied ROAS is mathematically consistent: **$1,260 ÷ $420 = 3.0** ### Evaluation Advertising generated measurable attributed sales during the current period. Ad traffic represents approximately **21.9%** of current product views. Attributed ad sales represent approximately **36.2% of total reported product revenue**: **$1,260 ÷ $3,477.60 ≈ 36.2%** This ratio should **not** be interpreted as proof that advertising caused 36.2% of total revenue, because attribution methodology and overlap with other traffic sources are not provided. ### Interpretation The evidence supports evaluating ads as a **material current sales channel**, but it does not support concluding that ads are responsible for either the overall decline or improvement in product performance. ### Limitation Missing: * ad impressions; * ad clicks; * CTR; * CPC; * ad orders; * ad conversion rate; * previous-period ad spend; * previous-period ROAS; * campaign-level performance; * attribution methodology. **Status: Moderate Evidence.** --- ## 11. Customer Performance ### Verified Information The product has: * **4.7/5 average rating** * **328 reviews** ### Evaluation The available customer evidence provides a substantial review count and a 4.7/5 rating. ### Interpretation The rating is a positive customer-satisfaction signal within the supplied evidence. However, it cannot be used to conclude that customer satisfaction is causing the current performance decline, nor can customer behavior be inferred from the rating alone. ### Limitation No evidence is provided for: * repeat purchases; * customer segments; * customer lifetime value; * review sentiment; * recent versus historical reviews; * buyer demographics; * purchase frequency; * customer retention. **Status: Moderate Evidence.** --- # 12. Performance Barrier | Barrier | Evidence | Impact | Confidence | | -------------------------------------------------------------------------- | ------------------------------------------------------------------------ | --------------------------------------------------------------------------------------- | ---------------- | | **Verified Barrier: Traffic volume declined** | Views fell 22.4%, from 10,850 to 8,420 | Reduced available traffic contributed to fewer potential orders | **High** | | **Verified Barrier: Conversion rate declined** | Conversion fell from 2.54% to 2.18% | Fewer orders were generated per unit of traffic | **High** | | **Verified Barrier: Orders declined** | Orders fell 33.3%, from 276 to 184 | Direct reduction in sales output | **High** | | **Verified Barrier: Revenue declined** | Revenue fell 33.3%, from $5,216.40 to $3,477.60 | Direct commercial performance decline | **High** | | **Potential Barrier: Search traffic deterioration** | Search is 70.3% of current traffic, but historical search data is absent | If search traffic declined disproportionately, it could materially affect total traffic | **Low–Moderate** | | **Potential Barrier: Conversion-funnel deterioration beyond reported CVR** | 612 carts vs. 184 orders; cart-to-order rate ≈30.1% | Could warrant funnel investigation | **Moderate** | The potential barriers are **not confirmed causes**. --- # 13. Performance Information Gap | Missing Information | Why It Matters | Priority | | ---------------------------------------------------- | ------------------------------------------------------------------------------------------ | ---------- | | Previous-period traffic by source | Determines which traffic source contributed to the 22.4% traffic decline | **High** | | Ad impressions, clicks, CTR, CPC, orders, conversion | Determines where advertising performance is strong/weak and whether efficiency changed | **High** | | Search impressions/clicks/rankings/keywords | Determines whether search visibility changed | **High** | | Previous-period add-to-cart data | Determines whether the funnel weakened before or after cart creation | **High** | | Checkout/payment/abandonment data | Helps locate the funnel stage between cart and order | **High** | | Promotion performance before/after discount | Determines whether promotional activity corresponds with performance changes | **Medium** | | Customer/repeat-purchase data | Determines whether customer composition or retention changed | **Medium** | | Product-level/source-level conversion | Identifies whether conversion deterioration is concentrated in a particular traffic source | **High** | --- # 14. Performance Opportunity | Opportunity | Evidence Basis | Priority | Required Evidence | | --------------------------------------------- | ---------------------------------------------------------------------- | --------------- | -------------------------------------------------------------------------- | | **Investigate traffic-source decline** | Total views declined 22.4%; search currently supplies 70.3% of traffic | **High** | Previous-period source breakdown and source-level trends | | **Investigate conversion deterioration** | CVR declined 2.54% → 2.18% while orders declined 33.3% | **High** | Source/device/funnel conversion data and previous cart data | | **Evaluate search performance** | Search supplies 5,920 current views, the largest reported source | **High** | Search impressions, clicks, CTR, rankings, keywords, historical comparison | | **Evaluate advertising efficiency over time** | Current ROAS is 3.0 with $420 spend and $1,260 attributed sales | **High** | Historical ROAS plus campaign-level impressions/clicks/orders | | **Investigate cart-to-order funnel** | 612 carts resulted in 184 orders, approximately 30.1% | **Medium–High** | Checkout initiation, payment, cancellation and abandonment data | | **Preserve/evaluate customer-trust signals** | 4.7/5 rating across 328 reviews | **Medium** | Review recency, sentiment and comparison with conversion changes | The opportunities describe areas that **should be evaluated or optimized**; they do not imply guaranteed performance improvements. --- # 15. Performance Consistency ### Consistent Relationships **Traffic → Orders** Traffic decreased **22.4%**, while orders decreased **33.3%**. The direction is consistent: fewer views coincided with fewer orders. **Traffic → Conversion → Orders** The conversion rate also decreased from **2.54% to 2.18%**. This provides a quantitative explanation for why the order decline was larger than the traffic decline, without claiming a causal reason for the conversion deterioration. **Orders → Revenue** Orders and revenue both declined exactly **33.3%**. **Revenue → Order Value** Revenue/order remains exactly **$18.90**, matching the supplied product price. There is therefore no detected change in revenue per order in the supplied data. **Ads** Ad spend of $420 and attributed sales of $1,260 produce the supplied ROAS of 3.0. The advertising figures are internally consistent. ### Evidence Conflicts There is **no direct numerical conflict** among the supplied traffic, order, revenue, conversion, price, and ROAS figures. There is, however, an **interpretation limitation**: attributed ad sales cannot automatically be treated as incremental sales because the attribution methodology and overlap with other traffic sources are unknown. --- # 16. Overall Performance Assessment ### Current Performance The product experienced a **material decline in overall performance** during the last 30 days. The most important verified movements are: * Traffic: **−22.4%** * Conversion rate: **−14.2% relative** * Orders: **−33.3%** * Revenue: **−33.3%** * Revenue/order: **stable at $18.90** ### Strong Areas * **4.7/5 rating across 328 reviews** provides a strong existing customer-rating signal. * Revenue/order is internally consistent with the stated $18.90 price. * Advertising has measurable attributed sales and a reported **3.0 ROAS**. * Search currently provides the majority of reported traffic. ### Weak Areas * Overall traffic volume declined. * Conversion rate declined. * Orders declined more sharply than traffic. * Revenue declined proportionally with orders. ### Unverified Areas The evidence is insufficient to determine: * the specific cause of traffic decline; * whether SEO/search visibility deteriorated; * whether advertising performance improved or deteriorated versus the previous period; * whether the 10% promotion affected performance; * where the conversion funnel deteriorated; * whether customer composition or repeat purchasing changed. ### Key Performance Findings **1. The decline is a combined traffic-and-conversion issue.** Traffic fell 22.4%, while conversion also fell from 2.54% to 2.18%. **2. The order decline is greater than the traffic decline.** Orders fell 33.3%, indicating that reduced traffic alone does not describe the complete performance movement. **3. Revenue decline is entirely consistent with order decline.** Both declined 33.3%, while revenue/order remained $18.90. **4. Search deserves investigation because it is the largest current traffic source.** But there is not enough historical search evidence to label SEO as the cause. **5. Ads are measurable but not yet fully diagnosable.** ROAS is 3.0, but there is no historical or campaign-level evidence for determining whether advertising performance is improving or deteriorating. ### Key Constraints The biggest limitation is the lack of **source-level historical data and funnel-level conversion data**. Without those, the analysis can identify *where* performance deteriorated but cannot reliably establish *why*. ### Priority Actions 1. **Obtain previous-period traffic by source** and compare search, ads, recommendations, and other sources. 2. **Obtain source-level conversion data** to determine whether the 2.18% conversion rate decline is concentrated in a particular acquisition channel. 3. **Audit the conversion funnel**, particularly the transition from add-to-cart to completed order. 4. **Evaluate historical advertising performance** using impressions, clicks, CPC, orders, conversion rate, and ROAS. 5. **Evaluate search performance** using impressions, clicks, CTR, rankings, and keyword-level trends. 6. **Only after these diagnostics**, determine which optimization area should receive the strongest intervention. --- # 17. Performance Improvement Checklist | Priority | Action | Evidence Basis | Purpose | Follow-up | | -------- | ---------------------------------------------- | -------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------ | ---------------------------------------------- | | **1** | Compare current vs. previous traffic by source | Total views declined 22.4%; current traffic is 70.3% search, 21.9% ads, 7.8% recommendations | Identify where traffic loss occurred | Source-level historical report | | **2** | Analyze conversion by traffic source | Overall CVR declined 2.54% → 2.18% | Determine whether conversion deterioration is channel-specific | Source-level orders/views | | **3** | Analyze the cart-to-order funnel | 612 carts vs. 184 orders | Identify whether meaningful loss occurs after cart creation | Checkout and abandonment data | | **4** | Evaluate advertising trend | Current spend $420, attributed sales $1,260, ROAS 3.0 | Determine whether ads are maintaining, improving, or losing efficiency | Historical campaign metrics | | **5** | Audit search performance | Search generates 5,920 current views | Determine whether search visibility contributes to traffic decline | Search impressions, clicks, rankings, keywords | | **6** | Evaluate promotion performance | Current 10% discount is known, but its effect is unverified | Determine whether promotional activity corresponds with performance movement | Pre/post promotion data | | **7** | Review customer evidence beyond rating | 4.7/5 and 328 reviews | Determine whether customer sentiment or retention provides additional performance evidence | Review sentiment and repeat-purchase data | ## Bottom Line The evidence supports a **verified performance decline driven by two observable movements: lower traffic and lower conversion rate**. The traffic decline is **22.4%**, while orders and revenue declined **33.3%**, making conversion deterioration an important additional performance signal. The evidence **does not yet support naming SEO, ads, promotion, listing quality, pricing, or customer satisfaction as the cause**. The highest-value next step is therefore not to assume a cause, but to obtain **historical traffic-source and funnel-level data** that can isolate where the deterioration is occurring.
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Marketplace Performance Analyst

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GPT-5.6
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Analyze marketplace performance using verified evidence. Evaluate KPIs, traffic, conversion, sales, SEO, promotion, ads, customer performance, barriers, opportunities, information gaps, and performance consistency. The prompt separates facts from evaluation and unsupported assumptions, helping you build structured Performance Insight for evidence-based marketplace decisions.
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