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

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:

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:

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