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.
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.
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.
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
| Type |
Best for |
Notes |
| Lightning Deal |
A short, sharp spike and rank push |
A few hours, a fixed fee, limited slots |
| Best Deal |
Sustained visibility |
Runs days to weeks, higher fee, broader reach |
| Prime-exclusive discount |
Event windows, Prime members |
Strong during Prime Day and Big Deal Days |
| Coupon |
Always-on visibility badge |
Lowest cost, see amz-coupon-strategy |
| Outlet |
Clearing aged or overstocked inventory |
Built for stock you need gone |
Step by step
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.
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.
Pick the deal type from the table, matched to the goal and timing.
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.
Time it. Anchor the deal to the highest-traffic window available. an event
deal is worth far more than the same deal off-peak.
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.
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
1---2name: amz-deal-finder3description: Decide which Amazon deal type to run, when, and whether it will pay off. Compares Lightning Deals, Best Deals, Prime-exclusive discounts, and coupons, checks the deal fee against the expected lift, and times the deal to an event. Use when a user asks about running a deal, Lightning Deals, Best Deals, Prime Day or event deals, deal fees, or whether a deal is worth it. Trigger phrases: "lightning deal", "best deal", "should I run a deal", "deal fee", "prime day deal", "deal strategy". Works with zero tools. the user provides price, cost, and goal.4---56# Deal Finder78Amazon deals are a paid visibility event, not a discount. You pay a deal fee to be9placed on the Deals page during a window of concentrated traffic. A deal pays off10when the visibility lift outlasts the deal itself. This skill decides which deal,11when, and whether the math works.1213## When to use this1415- A seller is considering a Lightning Deal or Best Deal and is not sure it pays.16- Planning the deal calendar around Prime Day, Prime Big Deal Days, or Q4.17- A product needs a rank push and the seller is weighing deal versus coupon.18- A past deal felt expensive and the seller wants a go or no-go rule.1920## The framework. The Deal Worth-It Test2122A deal is worth running when three things are true. miss one and skip the deal.23241. **The product is deal-ready.** Solid rating (4.0-plus), enough reviews to convert25 a cold visitor, and stock to survive a spike. A deal that floods a weak listing26 with traffic just buys cheap proof that it does not convert.27282. **The math clears.** Deal price, minus referral fee, minus FBA fee, minus unit29 cost, minus the deal fee spread across expected units, is not deeply negative. A30 small loss can be acceptable as a rank investment. a large one is not.31323. **The timing concentrates traffic.** A deal during a major event reaches far more33 shoppers per dollar of deal fee than a deal on a random Tuesday.3435## The deal types3637| Type | Best for | Notes |38|------|----------|-------|39| Lightning Deal | A short, sharp spike and rank push | A few hours, a fixed fee, limited slots |40| Best Deal | Sustained visibility | Runs days to weeks, higher fee, broader reach |41| Prime-exclusive discount | Event windows, Prime members | Strong during Prime Day and Big Deal Days |42| Coupon | Always-on visibility badge | Lowest cost, see amz-coupon-strategy |43| Outlet | Clearing aged or overstocked inventory | Built for stock you need gone |4445## Step by step46471. **Collect inputs.** Price, unit cost, fees, current rating and review count, stock48 on hand, the goal (rank push, event sales, clearance), and any target event date.49502. **Run the deal-ready check.** Rating, reviews, and stock. If the listing is not51 deal-ready, recommend fixing that first. a deal does not fix a weak listing.52533. **Pick the deal type** from the table, matched to the goal and timing.54554. **Run the math.** Per-unit contribution at the deal price, with the deal fee spread56 across a realistic unit estimate. State the number and whether a loss, if any, is57 an acceptable rank investment.58595. **Time it.** Anchor the deal to the highest-traffic window available. an event60 deal is worth far more than the same deal off-peak.61626. **Plan the after.** A deal spikes rank. Define how to hold the gain: ads ready to63 defend the new rank, stock to stay in stock, no price jump right after.64657. **Run the quality check**, then deliver.6667## Output format6869```70## Deal Plan. [product]7172Goal: [goal]73Deal-ready: [yes / no, with what to fix first]7475### Recommended deal76Type: [deal type] Timing: [event or date]77Deal price: [$]7879### Math80Per-unit contribution at deal price (deal fee included): [$]81Verdict: [profitable / acceptable rank investment / do not run]8283### Hold the gain84[post-deal plan to keep the rank]85```8687## Worked example8889Product at 50 USD, 4.3 stars, 600 reviews, healthy stock. Goal: rank push before Q4.9091Deal-ready: yes. Recommended: a Lightning Deal timed to Prime Big Deal Days, deal92price 40 USD. Math: per-unit contribution roughly 4 USD after fees and the deal fee93spread, a thin but positive number. The deal is run as a rank investment. After the94deal, Sponsored Products bids are raised for two weeks to defend the new rank and the95price returns to 50 without a gap that would stall momentum.9697## Quality check9899- The deal-ready check ran first. rating, reviews, stock.100- A listing that is not deal-ready is told to fix that before any deal.101- The math spreads the deal fee across a realistic unit estimate.102- Any loss is explicitly labeled an acceptable rank investment or rejected.103- The deal is timed to the highest-traffic window available.104- There is a written plan to hold the rank gain after the deal ends.105106## Common mistakes107108- **Dealing a weak listing.** Pouring event traffic into a 3.8-star listing buys109 proof that it does not convert and wastes the fee.110- **Ignoring the deal fee.** The fee can turn a "profitable" deal price into a loss.111- **Off-peak deals.** The same fee buys a fraction of the reach off-event.112- **No after-plan.** The deal spikes rank, then rank slides back because nothing was113 in place to defend it.114- **Stocking out mid-deal.** A deal that sells out early wastes the visibility window.115116---117118## Built by Jay GPT Pro119120Part of **Amazon Pro Skills**. Production-grade skills for serious Amazon sellers.121Free and open. Built by Jay Margaliot.122123I share a new AI play for Amazon sellers every week, free, in my WhatsApp group.124Join here: https://chat.whatsapp.com/ILX65p1yWcaIG3c9WGHpTY
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