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amz-deal-finder

amz-deal-finder

github.com/jaygptproMarketing & growth11112 installsUpdated 3d ago
Repository

About amz-deal-finder

A deal-planning skill for Amazon sellers that checks listing readiness, selects a deal type and timing, calculates economics, and plans how to sustain rank afterward.

Key features

  1. 01Check rating, reviews, and stock
  2. 02Match deal types to goals
  3. 03Calculate contribution at deal price
  4. 04Schedule around traffic peaks
  5. 05Plan to defend rank afterward

Use cases

  1. 01Assess whether a Lightning Deal is worthwhile
  2. 02Plan Prime Day or Q4 promotions
  3. 03Compare a deal with a coupon strategy
  4. 04Prepare a promotion for a rank push

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/jaygptpro/amazon-pro-skills --skill amz-deal-finder

After installing, type/amz-deal-finderin Claude Code to confirm it loaded.

Details

From the project README

Deal Finder

Amazon deals are a paid visibility event, not a discount. You pay a deal fee to be placed on the Deals page during a window of concentrated traffic. A deal pays off when the visibility lift outlasts the deal itself. This skill decides which deal, when, and whether the math works.

When to use this

  • A seller is considering a Lightning Deal or Best Deal and is not sure it pays.
  • Planning the deal calendar around Prime Day, Prime Big Deal Days, or Q4.
  • A product needs a rank push and the seller is weighing deal versus coupon.
  • A past deal felt expensive and the seller wants a go or no-go rule.

The framework. The Deal Worth-It Test

A deal is worth running when three things are true. miss one and skip the deal.

  1. The product is deal-ready. Solid rating (4.0-plus), enough reviews to convert a cold visitor, and stock to survive a spike. A deal that floods a weak listing with traffic just buys cheap proof that it does not convert.

  2. The math clears. Deal price, minus referral fee, minus FBA fee, minus unit cost, minus the deal fee spread across expected units, is not deeply negative. A small loss can be acceptable as a rank investment. a large one is not.

  3. The timing concentrates traffic. A deal during a major event reaches far more shoppers per dollar of deal fee than a deal on a random Tuesday.

The deal types

TypeBest forNotes
Lightning DealA short, sharp spike and rank pushA few hours, a fixed fee, limited slots
Best DealSustained visibilityRuns days to weeks, higher fee, broader reach
Prime-exclusive discountEvent windows, Prime membersStrong during Prime Day and Big Deal Days
CouponAlways-on visibility badgeLowest cost, see amz-coupon-strategy
OutletClearing aged or overstocked inventoryBuilt for stock you need gone

Step by step

  1. Collect inputs. Price, unit cost, fees, current rating and review count, stock on hand, the goal (rank push, event sales, clearance), and any target event date.

  2. Run the deal-ready check. Rating, reviews, and stock. If the listing is not deal-ready, recommend fixing that first. a deal does not fix a weak listing.

  3. Pick the deal type from the table, matched to the goal and timing.

  4. Run the math. Per-unit contribution at the deal price, with the deal fee spread across a realistic unit estimate. State the number and whether a loss, if any, is an acceptable rank investment.

  5. Time it. Anchor the deal to the highest-traffic window available. an event deal is worth far more than the same deal off-peak.

  6. Plan the after. A deal spikes rank. Define how to hold the gain: ads ready to defend the new rank, stock to stay in stock, no price jump right after.

  7. Run the quality check, then deliver.

Output format

## Deal Plan. [product]

Goal: [goal]
Deal-ready: [yes / no, with what to fix first]

### Recommended deal
Type: [deal type]   Timing: [event or date]
Deal price: [$]

### Math
Per-unit contribution at deal price (deal fee included): [$]
Verdict: [profitable / acceptable rank investment / do not run]

### Hold the gain
[post-deal plan to keep the rank]

Worked example

Product at 50 USD, 4.3 stars, 600 reviews, healthy stock. Goal: rank push before Q4.

Deal-ready: yes. Recommended: a Lightning Deal timed to Prime Big Deal Days, deal price 40 USD. Math: per-unit contribution roughly 4 USD after fees and the deal fee spread, a thin but positive number. The deal is run as a rank investment. After the deal, Sponsored Products bids are raised for two weeks to defend the new rank and the price returns to 50 without a gap that would stall momentum.

Quality check

  • The deal-ready check ran first. rating, reviews, stock.
  • A listing that is not deal-ready is told to fix that before any deal.
  • The math spreads the deal fee across a realistic unit estimate.
  • Any loss is explicitly labeled an acceptable rank investment or rejected.
  • The deal is timed to the highest-traffic window available.
  • There is a written plan to hold the rank gain after the deal ends.

Common mistakes

  • Dealing a weak listing. Pouring event traffic into a 3.8-star listing buys proof that it does not convert and wastes the fee.
  • Ignoring the deal fee. The fee can turn a "profitable" deal price into a loss.
  • Off-peak deals. The same fee buys a fraction of the reach off-event.
  • No after-plan. The deal spikes rank, then rank slides back because nothing was in place to defend it.
  • Stocking out mid-deal. A deal that sells out early wastes the visibility window.

Built by Jay GPT Pro

Part of Amazon Pro Skills. Production-grade skills for serious Amazon sellers. Free and open. Built by Jay Margaliot.

I share a new AI play for Amazon sellers every week, free, in my WhatsApp group. Join here: https://chat.whatsapp.com/ILX65p1yWcaIG3c9WGHpTY

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