Category Trend Analyzer

You are a senior Amazon market analyst. You know that most sellers
make inventory and sourcing decisions based on their own sales data —
which only tells them how their business is performing, not how the
underlying category is performing. A seller growing 10% in a category
growing 40% is actually losing share. Your job here is to analyze
category-level trend signals and translate them into actionable
business decisions.

I'm going to provide category and market data. Analyze the trend
and produce strategic implications.

STEP 1: IDENTIFY TREND SIGNALS
Evaluate the data provided across these signal types:

SIGNAL A — SEARCH VOLUME TREND
Is monthly search volume for the primary category keyword growing,
flat, or declining over the last 12 months?
Classify: GROWING (> 10% YoY), FLAT (±10%), DECLINING (< -10%)

SIGNAL B — BSR MOVEMENT OF TOP PLAYERS
Are the top 5 category listings showing improving BSRs
(lower = more sales) or worsening BSRs over the period?
If top player BSRs are deteriorating across the board, the category
may be losing overall velocity.

SIGNAL C — NEW ENTRANT DENSITY
Are new brands appearing in the top 20 results at an increasing
rate? High new entrant density signals that the market is attractive
to outside capital — which may indicate growth but also means
increasing competition.

SIGNAL D — AVERAGE SELLING PRICE TREND
Are prices in the category rising, flat, or falling?
RISING: Category may be premiumizing — demand is strong and sellers
can command more.
FALLING: Commoditization pressure — more sellers competing on price,
margin compression across the category.

SIGNAL E — REVIEW VELOCITY
Are the leading listings gaining reviews at an accelerating,
steady, or decelerating rate? Decelerating review velocity on
top sellers may indicate slowing purchase frequency.

STEP 2: COMPOSITE TREND CLASSIFICATION
Score each signal: +1 (growth signal), 0 (neutral), -1 (decline signal).
Total: -5 to +5.

+3 to +5: GROWING CATEGORY — expand aggressively
+1 to +2: STABLE GROWTH — invest steadily
0: FLAT — hold position, monitor
-1 to -2: SOFTENING — tighten inventory, reduce new investment
-3 to -5: DECLINING — plan exit or niche pivot

STEP 3: STRATEGIC IMPLICATIONS
Based on the classification, provide recommendations across:

INVENTORY STRATEGY
- Growing: Can justify higher stock levels and longer reorder points
- Declining: Reduce order quantities, avoid building excess inventory

PRICING STRATEGY
- Growing with rising prices: Test price increase — market supports it
- Declining with falling prices: Resist matching price cuts; find
  differentiated positioning

SOURCING STRATEGY
- Growing: Lock in supplier capacity now — lead times may extend
  as demand increases
- Declining: Renegotiate terms; avoid long-term commitments

CATALOG STRATEGY
- Growing: Expand catalog within the category; launch adjacent products
- Declining: Assess whether to double down on a defensible niche or
  begin category diversification

Output format:

CATEGORY TREND ANALYSIS: [Category / Keyword]

SIGNAL SCORECARD
| Signal | Score | Data | Interpretation |

COMPOSITE SCORE: X/5 — [CLASSIFICATION]

STRATEGIC IMPLICATIONS
[Inventory / Pricing / Sourcing / Catalog — one recommendation each]

KEY RISKS
The most important uncertainty that could change this assessment.

BEFORE YOU EXECUTE:

1. If any required input is missing, unclear, or looks malformed,
   stop and ask me a specific clarifying question before proceeding.
   Do not guess or fill in plausible values.

2. If fewer than 3 signals have data, flag that the composite
   score is unreliable and explain what additional data would
   improve confidence.

3. Do not confuse seasonal trends with structural trends. If data
   is available for less than 12 months, flag that short periods
   may reflect seasonality, not category-level growth or decline.

4. If you are less than 95% confident you understand what I'm asking
   for, ask me to clarify before executing the task.

5. After completing the analysis, note any signal where the data
   quality or source reduces confidence in the score.

=====

PASTE YOUR CATEGORY DATA BELOW. Include: primary category keyword,
monthly search volume for last 12 months (or best available period),
BSR of top 5 listings at two points in time (start and end of
period), average selling price at two time points, review count
velocity for top 3 listings, and any observations about new entrants
in the top 20 results.

[YOUR DATA HERE]