Skill: leooooooow/aes-competitor-radar (version 1.1.0)

# Competitor Radar Analyze competitor product listings, pricing strategies, and promotional tactics to identify gaps and opportunities — structured for ecommerce operators who need actionable intelligence, not just data. --- ## Quick Reference | Decision | Guidance | |---|---| | Mode selection | **Mode A** (Single Competitor Deep-Dive) for detailed analysis of one rival. **Mode B** (Landscape Scan) for comparing 3-10 competitors side by side. | | Platform focus | Amazon, Shopee, TikTok Shop, Lazada, Shopify, or platform-agnostic. Specify upfront — analysis categories shift per platform. | | Analysis depth | **Quick scan** (~15 min): listing audit + pricing snapshot. **Full radar** (~45 min): all 6 analysis categories with strategic recommendations. | | Data freshness | All analysis reflects the moment of observation. Flag any data older than 7 days. Never fabricate historical trends. | | Output format | Use `references/output-template.md` for structure. Include the Competitive Positioning Map in every full radar. | --- ## Solves This skill exists because ecommerce sellers need structured competitor intelligence but typically default to ad-hoc browsing. Without a framework, critical signals get missed — a competitor's coupon strategy, their review volume trajectory, or a gap in their keyword coverage that represents an opportunity. This skill turns scattered observations into a prioritized action plan. --- ## Modes ### Mode A — Single Competitor Deep-Dive Analyze one competitor in depth across all 6 categories. Best when you have identified a specific rival threatening your position or a new entrant you need to assess quickly. **When to use:** - A new competitor has entered your category with aggressive pricing - Your sales have declined and you suspect a specific rival is the cause - You are preparing to launch a product that directly competes with an established listing - You want to reverse-engineer a top performer's strategy ### Mode B — Landscape Scan Compare 3-10 competitors across standardized dimensions. Best for quarterly reviews, market entry research, or identifying where you stand in the competitive field. **When to use:** - Quarterly competitive landscape review - Entering a new product category and need to map the field - Benchmarking your store against the top performers in your niche - Identifying whitespace opportunities across multiple competitors --- ## Core Job Transform raw competitor observations into a structured competitive intelligence report with a prioritized list of strategic recommendations ranked by impact and effort. --- ## Inputs ### Required 1. **Your product or store URL** — Link to your product listing or storefront so the skill can establish your current competitive baseline and market position. 2. **Competitor URLs or names** — Links to 3-10 competitor product listings or store names you want to analyze. The more competitors provided, the richer the landscape analysis. For Mode A, provide 1 competitor with deep detail. 3. **Product category** — The specific product category or niche you are competing in, e.g., "portable blenders" or "organic dog treats." This anchors the analysis and determines relevant benchmarks. ### Optional 4. **Analysis focus** — Specify whether you want deeper analysis on pricing, listing optimization, promotional tactics, or review sentiment. Defaults to a balanced overview of all areas. 5. **Time period** — Historical timeframe for trend analysis such as last 30 days, last quarter, or year-over-year comparison. 6. **Your margin floor** — Minimum acceptable margin percentage. If provided, all pricing recommendations will respect this constraint. 7. **Priority metrics** — Which KPIs matter most to you: BSR, review velocity, conversion rate, traffic share. Helps weight the recommendations. --- ## Workflow — Mode A (Single Competitor Deep-Dive) ### Step 1: Baseline Your Position Before analyzing the competitor, document your own listing's current state across the 6 analysis categories. This creates the comparison anchor. Record: - Your current price, promotion status, and price history (if known) - Your listing quality: title structure, bullet points, image count, A+ content status - Your review count, average rating, and recent review sentiment - Your keyword visibility for the top 10 category terms - Your current promotional activity ### Step 2: Competitor Listing Audit Analyze the competitor's product listing element by element: **Title analysis:** - Character length and keyword density - Brand positioning (brand-first vs keyword-first) - Key feature callouts in title - Compliance with platform title guidelines **Visual content:** - Main image quality and style (lifestyle vs white background vs infographic) - Total image count and variety (usage scenarios, size reference, packaging) - Video presence and quality - A+ / Enhanced Brand Content modules used **Bullet points and description:** - Benefit-first vs feature-first structure - Specificity of claims (numbers, measurements, proof points) - Keyword integration patterns - Emotional triggers and social proof references - Reading level and tone **Backend indicators:** - Category node placement - Variation strategy (how many ASINs/SKUs in the family) - Brand registry status indicators - Fulfillment method (FBA, FBM, SFP, platform-fulfilled) ### Step 3: Pricing Strategy Analysis Map the competitor's pricing approach: - **Current price** vs your price (absolute and percentage difference) - **Price position** in category (cheapest, mid-range, premium) - **Per-unit economics** — normalize multi-packs to per-unit cost - **Shipping strategy** — free shipping threshold, Prime eligibility, shipping speed - **Subscribe & Save / auto-replenishment** pricing if applicable - **Bundle offers** — what's included and effective per-item price - **Coupon and promotion history** — current coupons, lightning deals, percentage-off patterns - **Price stability** — evidence of frequent changes, dynamic pricing, or price matching behavior ### Step 4: Review Intelligence Analyze the competitor's review profile: - **Volume and velocity** — total reviews, estimated monthly review acquisition rate - **Rating distribution** — percentage at each star level, not just the average - **Recent trend** — are recent reviews higher or lower than the lifetime average? - **Sentiment themes** — what do positive reviewers praise most? What do negative reviewers complain about? - **Response patterns** — does the seller respond to negative reviews? How quickly? - **Review quality signals** — verified purchase percentage, photo/video review percentage - **Competitive gaps** — complaints about the competitor that your product solves ### Step 5: Promotional Tactics Assessment Document the competitor's promotional playbook: - **Platform promotions** — Lightning Deals, flash sales, campaign participation (Prime Day, 11.11, etc.) - **Coupon strategy** — coupon values, clip rates, frequency of refresh - **Social media presence** — active platforms, content themes, posting frequency - **Influencer partnerships** — identified collaborations, affiliate program indicators - **Email/SMS indicators** — subscribe prompts, loyalty program mentions - **Cross-selling and upselling** — "frequently bought together" positioning, bundle pages - **Seasonal patterns** — promotion timing relative to category seasonality ### Step 6: Keyword and Search Visibility Assess the competitor's search positioning: - **Primary keyword targets** — what terms is their listing optimized for? - **Title keyword strategy** — front-loaded vs distributed keyword placement - **Organic rank indicators** — where they appear for key search terms - **Sponsored placement** — are they running PPC on their own brand terms? On category terms? - **Keyword gaps** — relevant terms they are NOT targeting that represent opportunities for you - **Backend search term indicators** — terms where they rank but don't have visible keyword presence ### Step 7: Synthesize and Recommend Compile findings into the Competitive Positioning Map and generate prioritized recommendations: 1. **Competitive Positioning Map** — Visual quadrant or comparison table showing where you and the competitor stand on key dimensions 2. **Threat Assessment** — Rate the competitor as low/medium/high threat across each category 3. **Opportunity List** — Specific gaps and weaknesses you can exploit 4. **Prioritized Action Plan** — Top 5-10 recommendations ranked by: - **Impact** (High/Medium/Low) — How much this action could move your metrics - **Effort** (High/Medium/Low) — Resources and time required - **Urgency** (Act now / This quarter / When resources allow) --- ## Workflow — Mode B (Landscape Scan) ### Step 1: Define the Competitive Set Identify and categorize competitors: - **Direct competitors** — Same product, same category, same platform - **Indirect competitors** — Different product solving the same need - **Aspirational competitors** — Market leaders whose strategies you want to study ### Step 2: Standardized Data Collection For each competitor, collect a consistent data set using the Competitor Snapshot Card format (see `references/output-template.md`). Ensure every field is populated for apples-to-apples comparison. ### Step 3: Cross-Competitor Comparison Build comparison matrices across: - Pricing tiers and positioning - Listing quality scores (rate each listing element 1-5) - Review profiles (volume, rating, velocity) - Promotional activity levels - Keyword coverage overlap and gaps ### Step 4: Market Map Create the Competitive Landscape Map showing: - Price vs quality perception positioning - Market share indicators (review volume as proxy) - Segment clusters (budget, mid-range, premium) - Whitespace areas with no strong competitor presence ### Step 5: Strategic Synthesis Deliver: - **Category trends** — What are most competitors doing? What's the emerging pattern? - **Your relative position** — Where you sit in the landscape - **Differentiation opportunities** — Where you can break from the pack - **Defensive priorities** — Where competitors are closing in on your position - **Prioritized action plan** — Same impact/effort/urgency framework as Mode A --- ## Analysis Categories Reference The 6 core analysis categories, applied consistently across all competitor assessments: | # | Category | Key Questions | |---|---|---| | 1 | Listing Quality | How well-optimized is the competitor's product listing? Title, images, bullets, A+ content, variations. | | 2 | Pricing Strategy | How is the competitor positioned on price? What's their promotion cadence? Per-unit economics? | | 3 | Review Profile | What's the review volume, rating, velocity, and sentiment? Where are the complaints? | | 4 | Promotional Tactics | What promotions, coupons, campaigns, and partnerships is the competitor running? | | 5 | Search Visibility | What keywords is the competitor targeting? Where do they rank? What gaps exist? | | 6 | Brand & Positioning | How does the competitor position themselves? Premium vs value? What's their brand story? | --- ## Writing Rules 1. **State evidence strength explicitly.** Every claim must be tagged: "observed" (you saw it), "inferred" (logical deduction from available data), or "estimated" (rough approximation). Never present estimates as facts. 2. **No fabricated data.** Never invent BSR numbers, sales velocity, conversion rates, or price history. If data is unavailable, say so and explain what could be observed instead. 3. **Normalize before comparing.** Multi-packs to per-unit. Different currencies to one standard. Different sizes to per-gram or per-ounce. Shipping costs included in landed price. 4. **Separate new from used/refurbished.** Never mix condition types in price comparisons. Flag when competitor listings include refurbished or open-box inventory. 5. **Flag temporary conditions.** If a competitor is running a Lightning Deal or seasonal promotion, note it as temporary. Don't set strategy based on a flash sale price. 6. **Timestamp everything.** Every data point gets a collection date. Analysis based on old data (>7 days) gets a freshness warning. 7. **Acknowledge platform limitations.** You cannot access private analytics, internal conversion data, or exact ad spend. Recommendations must be based on publicly observable signals only. 8. **Competitor names are facts, not judgments.** Report what competitors do. Avoid characterizing their decisions as "wrong" or "stupid" — they may have information you don't. 9. **Recommendations must be specific and actionable.** "Monitor the market" is not a recommendation. "Reduce your price by 8% to match Competitor B's effective per-unit cost while maintaining a 22% margin" is. 10. **Every recommendation respects the margin floor.** If the user provided a minimum margin, no pricing recommendation should breach it without an explicit warning and justification. --- ## Worked Example 1 — Mode A Single Competitor Deep-Dive **Scenario:** You sell a portable blender on Amazon US at $29.99. A new competitor launched 3 months ago at $24.99 and has accumulated 800 reviews with a 4.6 rating. You want to understand their strategy and respond. **Input provided:** - Your listing: amazon.com/dp/B0EXAMPLE1 - Competitor: amazon.com/dp/B0EXAMPLE2 - Category: Portable blenders - Analysis focus: Pricing and review strategy - Margin floor: 35% **Key findings (abbreviated):** *Listing Quality:* Competitor uses 7 images (you have 5) including a size-comparison infographic and a 30-second video. Their title is keyword-optimized with "Portable Blender" in position 1-2. Their bullet points lead with benefits and include specific measurements. A+ content with comparison chart showing advantages over 3 unnamed competitors. *Pricing:* Competitor's effective price is $22.49 after a persistent 10% coupon. At your COGS of $9.50, matching this price would give you a 58% margin — well above your floor. However, their lower price is driving volume: estimated 500+ units/month based on review velocity. *Review Intelligence:* 800 reviews in 3 months = ~267/month velocity (likely vine + early reviewer program + insert cards). Rating distribution: 72% 5-star, 15% 4-star, 8% 3-star, 3% 2-star, 2% 1-star. Top complaint (23 mentions): "Lid leaks when blending thick smoothies." Your product doesn't have this issue — this is an exploitable gap. *Recommendation #1 (Impact: High, Effort: Low, Urgency: Act now):* Add a bullet point and A+ module specifically addressing leak-proof design. Target the search term "leak proof portable blender" which the competitor is not optimizing for but their negative reviews are generating demand for. *Recommendation #2 (Impact: High, Effort: Medium, Urgency: This quarter):* Reduce price to $26.99 (10% reduction) and add a 5% coupon for an effective price of $25.64. This narrows the gap to $3.15 while maintaining a 73% margin. Pair with increased PPC spend on "portable blender leak proof." --- ## Worked Example 2 — Mode B Landscape Scan **Scenario:** You sell organic dog treats on Shopee Malaysia and want to map the competitive landscape before expanding your product line. **Input provided:** - Your store: shopee.com.my/yourstore - Competitors: 6 store URLs - Category: Organic dog treats - Time period: Last 90 days **Key findings (abbreviated):** *Market Map:* The organic dog treats category clusters into 3 tiers: Budget (RM 8-15/pack, 4 competitors), Mid-range (RM 18-28/pack, you + 2 competitors), Premium (RM 35-55/pack, 1 competitor). No competitor owns the "premium organic + locally sourced" positioning — whitespace identified. *Cross-Competitor Pricing Matrix:* | Competitor | Price/pack | Price/gram | Free shipping? | Voucher active? | |---|---|---|---|---| | Competitor A | RM 12.90 | RM 0.13 | Above RM 40 | 15% off, min RM 25 | | Competitor B | RM 14.50 | RM 0.15 | Above RM 30 | Free shipping voucher | | You | RM 22.90 | RM 0.19 | Above RM 50 | None | | Competitor C | RM 25.00 | RM 0.21 | Free | 10% new customer | | Competitor D | RM 38.00 | RM 0.25 | Free | Bundle: buy 3 get 1 | *Strategic Synthesis:* You are positioned in mid-range with the highest per-gram price in your tier and no active promotions. Lower your free shipping threshold to RM 35 (matching Competitor B's approach) and introduce a "subscribe monthly" bundle at 15% off. This addresses the key competitive gap without a direct price cut. --- ## Common Mistakes 1. **Treating a flash sale price as the regular price.** A competitor running a Lightning Deal at 40% off is not "permanently cheaper." Check whether the discount is temporary before adjusting your strategy. 2. **Comparing multi-packs to single units.** A 3-pack at $15 ($5/unit) is cheaper than a single unit at $7, but the comparison must be per-unit. Always normalize. 3. **Equating review count with quality.** A competitor with 5,000 reviews and a 3.8 rating is not necessarily in a stronger position than you with 200 reviews and a 4.7 rating. Weight velocity and sentiment, not just volume. 4. **Ignoring fulfillment method differences.** FBA vs FBM pricing comparisons are apples to oranges. FBA listings include fulfillment in the price; FBM may have separate shipping. Account for landed cost. 5. **Assuming static competitor behavior.** Competitors react to your moves. A price cut that works today may trigger a price war tomorrow. Factor likely competitive response into recommendations. 6. **Over-indexing on a single competitor.** Unless Mode A was specifically requested, don't build your strategy around one rival. Market dynamics involve the full competitive set. 7. **Fabricating historical trends.** If you only have today's data, you have a snapshot, not a trend. Say "current price as of [date]" not "prices have been declining." 8. **Recommending below the margin floor.** If the user set a 35% minimum margin, every pricing suggestion must respect that constraint — or explicitly flag the exception with justification. 9. **Confusing organic rank with sponsored placement.** A competitor appearing in position 1 for a search term may be paying for that placement. Note whether rankings are organic or sponsored. 10. **Presenting competitor data without context.** "Competitor has 1,000 reviews" means nothing without knowing the category average, the competitor's time in market, and the review velocity trend. --- ## Resources | File | Purpose | |---|---| | `references/output-template.md` | Structured templates for Mode A and Mode B deliverables | | `references/analysis-frameworks.md` | Detailed frameworks for each of the 6 analysis categories | | `references/platform-specifics.md` | Platform-specific data points and benchmarks for Amazon, Shopee, TikTok Shop, Lazada, Shopify | | `assets/quality-checklist.md` | Pre-delivery quality checklist (45 items) |


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