AMAZON NEW PRODUCT RESEARCH (for Amazon Sellers): A Very Detailed Guide
“Amazon new product research” is the process of finding what to sell next on Amazon using demand signals (search behavior, sales trends), competitive signals (review density, brand concentration, pricing), and feasibility signals (costs, compliance, logistics). Amazon itself offers first-party research tools inside Seller Central—most notably Product Opportunity Explorer and Brand Analytics—and many sellers layer third-party suites (e.g., Jungle Scout, Helium 10) on top.
1) What “good” product research tries to prove
A product idea is only “good” if you can defend all of these:
- Demand exists (and is stable or growing)
- Competition is beatable (you can differentiate or out-execute)
- Unit economics work (profit after all costs, ads, returns)
- Operational risk is manageable (compliance, fragility, seasonality)
- Launch path is realistic (keywords, conversion, ads, inventory timing)
Amazon’s Product Opportunity Explorer is explicitly designed to analyze trends in searches, purchases, reviews, and pricing to help decide what new products to sell.
2) Amazon first-party research stack (Seller Central)
A) Product Opportunity Explorer (POE)
What it does: Helps you explore niches and estimate customer demand for product ideas, using Amazon’s internal marketplace signals.
What you typically extract:
- Niche size / demand trend
- Search term behavior in a niche
- Competitive intensity (often inferred via clicks distribution + product set)
- Price bands and review landscape
Practical note: POE access and exact availability can depend on account type/region; Amazon markets it as a Seller Central tool.
B) Brand Analytics (ABA)
What it does: Lets brands review aggregate customer data via dashboards (search, demographics, repeat purchase, market basket, etc.).
Why it matters for new product research:
- Identify “adjacent” products customers also buy (bundle/line extension ideas)
- Spot search queries you should design around
- Understand repeat purchase patterns (is it naturally recurring?)
3) The research workflow that professional sellers use
Step 1 — Start from a “niche hypothesis”
Examples:
- “Low-review niche with rising search demand”
- “High repeat purchase consumable with manageable compliance”
- “Accessory category where branding matters and differentiation is visible”
Step 2 — Demand validation (top-down + bottom-up)
Top-down (niche): Use POE to see whether the niche is growing and whether demand is concentrated or broadly distributed.
Bottom-up (keywords): Map your idea to a keyword cluster (main keyword + sub-intents) and validate search volume and stability (ABA + third-party keyword tools if needed).
Step 3 — Competitive intensity (can you win?)
You’re looking for the shape of competition, not just “number of sellers.”
Key checks
- Review moat: are top listings dominated by 2,000+ reviews?
- Brand concentration: 1–2 brands owning most clicks is harder to break
- Price compression: too many sellers at the same price kills margin
- Differentiation: can you visibly improve (material, size, kit, UX)?
Step 4 — Unit economics (the “real” profit test)
Model per unit:
Contribution Margin ≈ Selling Price
− Amazon referral fee
− Fulfillment fees (FBA/FBM)
− COGS (factory + packaging)
− Freight + duties
− Returns/defects allowance
− Promo/launch costs
− Ad cost per order (ACoS × price)
If your margin only works at “perfect” ACoS, the product is fragile.
Step 5 — Feasibility and compliance
Red flags:
- Hazmat, topical ingestibles, medical claims
- Fragile/high return categories
- IP landmines (brand/trademark-heavy niches)
- Seasonal demand spikes that force risky inventory bets
Step 6 — Supplier validation (before you commit)
- Request multiple quotes + MOQs
- Ask for compliance docs early
- Order samples and test “listing realism” (photos, instructions, packaging)
Step 7 — Launch plan sanity check
If your keyword cluster is dominated by established brands, your PPC may be expensive. Some suites emphasize PPC intelligence alongside product research.
4) What data you use (and what it’s good for)
| Data Source | Best For | Typical Decisions |
|---|---|---|
| Product Opportunity Explorer (Amazon) | Niche-level demand + trends | “Which niche is worth entering?” |
| Brand Analytics (Amazon) | Aggregate customer behavior + search dashboards | “Which queries/adjacencies to design around?” |
| Best Sellers / Movers & Shakers (Amazon lists) | Trend scouting | “What’s accelerating right now?” |
| Third-party suites (Helium 10, Jungle Scout, etc.) | Estimation + workflows (keywords, listings, sometimes PPC) | “Validate numbers, build keyword plan” |
5) Comparison: Amazon built-in vs “emsal” (equivalent) third-party tools
Quick positioning
- Amazon first-party (POE + ABA): strongest when you want marketplace-native signals and structured niche exploration.
- Jungle Scout: widely used for product discovery + supplier/launch workflow for newer sellers.
- Helium 10: broader “suite” positioning; often highlighted for deeper keyword tooling and PPC-related capabilities.
Feature comparison table (high-level)
| Tool / Program | Strongest Use Case | Advantages | Trade-offs |
|---|---|---|---|
| Product Opportunity Explorer (Amazon) | Niche discovery + demand trends | First-party marketplace signals; niche exploration focus | Not a full “everything suite” (PPC, listing audits, etc. often elsewhere) |
| Brand Analytics (Amazon) | Customer + search dashboards for brands | Aggregate insights across search/behavior/demographics | Requires brand access path; not always available to every seller |
| Jungle Scout | Product discovery + seller workflow | Strong research/launch framing; popular seller tooling | Estimates vary by niche; subscription cost |
| Helium 10 | Research + keyword depth + PPC tooling | “Deeper” keyword/PPC emphasis in many comparisons | Can feel complex; many modules to learn |
Note: There are many “best tool” lists online; treat them as directional and validate with trials + your category reality.
6) Advantages vs disadvantages of doing rigorous new product research
Advantages
- Lower failure rate: you avoid saturated, low-margin “me too” products
- Better launches: you enter with keyword architecture + differentiation story
- Cleaner cashflow: you model fees + ads + returns before ordering inventory
Disadvantages / pitfalls
- False precision: all tools estimate; Amazon doesn’t share complete sales data publicly
- Tool bias: sellers chase what tools show, creating “crowded” niches faster
- Analysis paralysis: perfect research doesn’t replace executing sourcing + branding + ops
7) Celebrity/leader quotes that capture the mindset (real, attributable)
These aren’t “Amazon product research” quotes specifically—but they directly reflect the principles behind it (customer truth, innovation risk, simplification):
- Steve Jobs (customer insight): “Get closer than ever to your customers. So close that you tell them what they need well before they realize it themselves
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AMAZON REVIEWS AND FEEDBACK MANAGEMENT
The 100 Most Frequently Asked Questions — With In-Depth Answers (English)
This guide covers the 100 most commonly asked questions about managing Amazon product reviews and seller feedback, explained in a practical, policy-aware, and seller-focused way. It applies to Amazon FBA and FBM sellers, private-label brands, and agencies managing accounts at scale.
SECTION 1: BASICS & DEFINITIONS (1–10)
1. What is the difference between Amazon reviews and Amazon feedback?
Reviews are product-specific and appear on the product detail page, influencing conversion rate and keyword ranking.
Feedback is seller-specific and reflects the buyer’s experience with shipping, communication, and service. Feedback affects seller performance metrics, not product ranking.
2. Why are Amazon reviews so important?
Reviews are a primary trust signal. They directly impact conversion rate, Buy Box performance, ad efficiency, and organic ranking. Products with higher ratings typically require lower ad spend to convert.
3. Why does seller feedback matter if customers mostly see reviews?
Feedback impacts Order Defect Rate (ODR), account health, and Buy Box eligibility. Poor feedback can lead to account warnings or suspension, even if product reviews are strong.
4. Where do customers see seller feedback?
On the seller profile page and during checkout under “Sold by.” While less visible than reviews, Amazon heavily weighs feedback internally.
5. Can customers confuse reviews and feedback?
Yes. Many buyers leave shipping complaints as product reviews, even when fulfillment is Amazon’s responsibility.
6. How does Amazon calculate star ratings?
Star ratings are weighted by recency, verified purchase status, and reviewer behavior patterns. Older reviews carry less weight over time.
7. What is a “Verified Purchase” review?
A review left by a customer who purchased the product through Amazon. These reviews carry more credibility and influence.
8. Can sellers reply to reviews?
Yes, via the Customer Reviews section in Seller Central. Replies are public and should be professional and policy-compliant.
9. Can sellers reply to feedback?
Yes, publicly or privately. Public responses are visible to all shoppers and should be calm and factual.
10. Do reviews affect Amazon SEO?
Indirectly, yes. Reviews improve conversion rate, which feeds Amazon’s ranking algorithm (A10/A9).
SECTION 2: AMAZON POLICIES & COMPLIANCE (11–25)
11. Is it allowed to ask customers for reviews?
Yes—neutrally. You cannot ask for positive reviews or offer incentives.
12. Can I offer discounts or gifts for reviews?
No. Incentivized reviews violate Amazon policy and can result in listing suppression or account suspension.
13. Can I ask customers to change a negative review?
You may ask them to share their experience, but you cannot pressure or incentivize them to change it.
14. Is review manipulation illegal?
Yes. It violates Amazon policy and, in some countries, consumer protection laws.
15. Can friends or family leave reviews?
No. Amazon considers this a conflict of interest and can remove such reviews.
16. What happens if Amazon detects fake reviews?
Listings may be suspended, reviews removed, funds frozen, or the entire account shut down.
17. Are review clubs allowed?
No. Any off-Amazon coordinated review activity is prohibited.
18. Can I use inserts to request reviews?
Yes, if neutral and compliant. No QR codes linking outside Amazon, no incentives.
19. Can I email customers asking for reviews?
Yes, using Amazon Buyer-Seller Messaging, but messages must be compliant and non-promotional.
20. What is the “Request a Review” button?
An Amazon-approved feature that sends a standardized, policy-safe review request.
21. How often can I request reviews?
Once per order via the Request a Review button.
22. Can I automate review requests?
Yes, using approved software that triggers Amazon’s native request system.
23. Can negative reviews be removed?
Only if they violate policy (hate speech, obscene language, personal info, non-product content).
24. Can I report reviews mentioning shipping delays?
Yes—especially if fulfilled by Amazon (FBA).
25. Are competitor attacks via reviews common?
Yes, but Amazon increasingly uses AI to detect abnormal review patterns.
SECTION 3: GETTING MORE REVIEWS (26–45)
26. What is the best way to get more reviews?
Deliver a great product, fast shipping, clear instructions, and use Amazon-approved requests.
27. Does product quality really affect reviews?
More than anything else. No tactic can compensate for poor quality.
28. How soon do customers usually leave reviews?
Typically within 7–30 days after delivery.
29. Do follow-up emails increase review rates?
Yes, when done compliantly and sparingly.
30. Is packaging important for reviews?
Yes. Premium, protective packaging reduces negative reviews dramatically.
31. Should I include a warranty card?
Yes—warranty cards can redirect unhappy customers to support before they review.
32. Does customer support impact reviews?
Strong support often converts potential 1-star reviews into neutral or positive outcomes.
33. Can product inserts hurt me?
Only if they violate policy. Neutral review requests are safe.
34. Should I ask questions in inserts?
No. Amazon prefers neutral language.
35. Are Vine reviews worth it?
For new products, yes. Vine provides trusted early reviews, though you cannot control sentiment.
36. How many reviews do I need to compete?
Depends on category. Some niches convert at 10–20 reviews; others need 500+.
37. Do images and videos increase reviews?
Indirectly—better listings reduce dissatisfaction.
38. Does price affect reviews?
Extremely. Overpriced products receive harsher reviews.
39. Should I launch with PPC before reviews?
Yes. Ads generate sales velocity that leads to organic reviews.
40. Does review velocity matter?
Yes. Recent reviews carry more weight.
41. Can international customers leave reviews?
Yes, and multilingual reviews can improve global trust.
42. Are shorter review requests better?
Yes. Clear, concise requests perform best.
43. Should I segment review requests?
Amazon does not allow segmentation by sentiment.
44. Can refunds stop negative reviews?
Sometimes—but once a review is posted, refunds don’t remove it.
45. Is it okay to ask happy customers only?
No. That is considered review manipulation.
SECTION 4: NEGATIVE REVIEWS & CRISIS MANAGEMENT (46–70)
46. How should I respond to a 1-star review?
Calmly, empathetically, and publicly—without arguing.
47. Should I apologize even if it’s not my fault?
Yes. Apologies reduce perceived brand friction.
48. Can a good reply offset a bad review?
Often, yes. Shoppers read responses carefully.
49. Should I contact the reviewer privately?
Yes, if appropriate—but never pressure them.
50. How do I know if a review violates policy?
Check for profanity, personal info, competitor promotion, or non-product content.
51. How do I report a review?
Via Seller Central → Customer Reviews → Report Abuse.
52. Does Amazon always remove reported reviews?
No. Removal rates vary, but policy violations are often accepted.
53. Should I respond before reporting?
Usually report first, then respond if needed.
54. How do I handle repeated complaints?
Identify root cause—manufacturing, packaging, instructions, or expectations.
55. Can I pause ads if reviews drop?
Yes, temporarily, to protect conversion efficiency.
56. Should I change the listing if reviews mention confusion?
Absolutely. Reviews are free UX research.
57. How do I prevent review bombing?
Maintain strong account health and consistent sales velocity.
58. Can reviews affect account suspension?
Indirectly—if they reflect systemic issues affecting ODR.
59. What if a competitor attacks with fake reviews?
Document patterns and report with evidence.
60. Should I delete and relaunch a listing?
Only as a last resort. You lose review history and ranking.
61. How many bad reviews are “too many”?
If your rating drops below 4.0, conversion often suffers significantly.
62. Can I relaunch under a variation?
Only if it’s a legitimate variation.
63. Do older negative reviews matter?
Less over time—but they still influence perception.
64. Should I address reviews mentioning missing parts?
Yes—update QC and listing images immediately.
65. Are video reviews more damaging?
Yes. They are more persuasive.
66. Can I pin responses?
No. Amazon controls review order.
67. Is silence worse than a bad reply?
Yes. No response implies indifference.
68. Can emojis be used in replies?
Not recommended. Keep replies professional.
69. Should agencies handle review replies?
Often yes—for consistency and policy safety.
70. How fast should I respond?
Ideally within 24–72 hours.
SECTION 5: FEEDBACK MANAGEMENT & ACCOUNT HEALTH (71–85)
71. How does feedback affect account health?
It directly impacts ODR, Late Shipment Rate, and Buy Box eligibility.
72. Can Amazon remove feedback automatically?
Yes, especially FBA-related feedback.
73. How do I request feedback removal?
Seller Central → Performance → Feedback → Request Removal.
74. What feedback qualifies for removal?
FBA issues, product reviews left as feedback, abusive language.
75. Should I respond publicly to feedback?
Yes—briefly and professionally.
76. Can I ask buyers to revise feedback?
Yes, politely, after resolving the issue.
77. How long does feedback last?
90 days for metrics; visible longer on profile.
78. Does feedback affect ads?
Indirectly, via Buy Box eligibility.
79. Should I automate feedback requests?
Yes, with approved tools.
80. What feedback score is considered good?
95% positive or higher.
81. Can feedback be transferred to a new account?
No.
82. Do international marketplaces share feedback?
Sometimes, depending on region linking.
83. Can I disable feedback?
No.
84. Is 1 negative feedback dangerous?
Not alone—but patterns are.
85. Should I monitor feedback daily?
Yes, especially at scale.
SECTION 6: ADVANCED & STRATEGIC QUESTIONS (86–100)
86. Do reviews affect Amazon DSP?
Yes—DSP retargeting converts better with strong reviews.
87. Can reviews influence brand valuation?
Absolutely. Investors analyze review quality and sentiment.
88. How do agencies manage reviews at scale?
Using SOPs, automation, sentiment analysis, and compliance checks.
89. Can AI analyze reviews?
Yes—AI tools extract themes and predict churn risks.
90. Should reviews guide product development?
They are one of the best product improvement data sources.
91. Are multilingual reviews valuable?
Yes—especially for global expansion.
92. Can reviews affect wholesale negotiations?
Yes. Retailers check ratings before onboarding.
93. Should I track review keywords?
Yes—for listing optimization and PPC negatives.
94. Are 4-star reviews good?
Yes, but too many may indicate unmet expectations.
95. Does Amazon suppress some reviews?
Yes—based on trust and relevance algorithms.
96. Can review count drop suddenly?
Yes—Amazon periodically purges suspicious reviews.
97. Should I panic if reviews disappear?
No—wait 48–72 hours and reassess.
98. Is review management ongoing?
Yes. It’s a continuous process, not a one-time task.
99. Is outsourcing review management worth it?
For brands scaling internationally—often yes.
100. What is the biggest mistake sellers make?
Trying to manipulate reviews instead of improving the product and experience.
