Amazon Review Authenticity Audit

₹600-1500 INR

Closed

Posted about 1 month ago

₹600-1500 INR

Paid on delivery

I sell a healthcare supplement on Amazon and need every customer review examined for authenticity. Your task is to confirm that each reviewer is a genuine buyer, not a bot, duplicate account, or incentivised participant. Accuracy of the wording is useful, guideline compliance is good, but the core requirement is verifying the real identity behind the posted reviews. You may tap tools such as Amazon Seller Central data exports, ReviewMeta, Fakespot, or your own scraping and profile–analysis methods, so long as they stay within Amazon’s Terms of Service. Please describe the process you will follow, any data you need me to supply (order reports, customer-ID strings, etc.), and the timeframe required. Deliverables • Spreadsheet or dashboard listing every review with an authenticity verdict and brief rationale • Separate flag list of suspicious or high-risk reviews, ranked by urgency • Short summary outlining patterns discovered and recommended next steps to maintain listing integrity I expect clear, evidence-based conclusions rather than assumptions. Let me know your proposed workflow and any questions you have so we can get started quickly.

Project ID: 40428181

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6 freelancers are bidding on average ₹1,121 INR for this job

@himanshubisht001

Hello, I can help you analyze and verify your Amazon product reviews with a detailed and evidence-based process. I will review reviewer profiles, review patterns, duplicate activity, suspicious wording, and use tools like ReviewMeta/Fakespot along with manual analysis while staying within Amazon’s Terms of Service. Deliverables will include: • Spreadsheet with authenticity verdict for each review • Separate high-risk/suspicious review report • Summary of patterns and recommendations I can start immediately. Please share review links, Seller Central exports, or any available order/customer data to begin the analysis. Regards, Himanshu Bisht

₹1,200 INR in 7 days

5.0

(2 reviews)

2.2

@akkiwadhwa1995

Hi, I can help with this project. I’m the founder of JustMetrically, where we build custom scraping, analytics, and review-analysis systems for large datasets. For this project, I would combine Amazon review data analysis with behavioral and profile-level validation to identify suspicious, incentivized, duplicate, or potentially fake reviews while staying within Amazon’s policies and Terms of Service. The workflow would include: * collecting and organizing all review data * analyzing reviewer patterns and account behavior * checking review timing, wording similarities, rating spikes, and repeat activity * cross-checking profiles using tools like ReviewMeta, Fakespot, and custom analysis pipelines * correlating available Seller Central/export data where applicable Deliverables: * spreadsheet/dashboard with authenticity verdict for each review * confidence score and rationale for flagged reviews * separate high-risk review list ranked by urgency * summary of detected patterns and recommended next steps To begin, I would need: * review export data or ASINs * optional Seller Central order/report exports for deeper validation * any historical moderation or review-removal information if available Estimated turnaround depends on review volume, but initial analysis is typically ready within 3–5 days. Thanks, Akshay

₹1,050 INR in 7 days

3.6

(2 reviews)

2.3

@waleeds05

Hi! I see you're looking to verify the authenticity of your Amazon reviews,super important for keeping your product’s reputation intact. I’d go through each review using a combo of tools like ReviewMeta and Fakespot, plus I'd analyze customer profiles and order reports to nail down who’s real and who’s not. If you could send me the order reports and any customer ID strings you have, that’d help kick things off. I’ve done similar audits and can turn the initial findings around in about 3 days. You’ll get a spreadsheet listing each review with an authenticity verdict, along with a flag list for any suspicious ones. Plus, I’ll include a summary of patterns and some suggestions to keep your reviews clean moving forward. Let me know if you have any questions or need anything else to get started! best regards, Walled Saleem

₹725 INR in 3 days

5.0

(1 review)

1.1

@ArasakaSystems

Ross here from Arasaka Systems, hope you’re doing well. I can help with thoroughly examining your Amazon healthcare supplement reviews for authenticity. Having conducted similar audits for e-commerce clients, I understand the importance of ensuring clean, professional, integrated, and high-performing listings. Your need to verify genuine buyers and flag suspicious reviews aligns perfectly with our expertise. Could you please send order reports or customer-ID strings to set up a detailed proposal? I specialize in data analysis, Amazon Seller Central integration, and advanced profile verification tools, ensuring evidence-based authenticity checks. It would be a pleasure to be of assistance. Regards, Ross, Arasaka Systems

₹1,500 INR in 1 day

0.0

(0 reviews)

0.0

@AlishbaMitho

Hey, I have posted many reviews on Amazon on behalf of our clients and I also check whether other reviews are authentic and I can also help you in this regard and at the end, I will give you complete data sheet. Can you tell me whether I have to check from Amazon or other platforms as well? Please contact me to discuss further details. Looking forward to your good response! Regards, Alishba

₹1,050 INR in 1 day

5.0

(1 review)

0.0

@qianq5

Hi, I can audit the Amazon reviews using available Seller Central exports, public review metadata, duplicate-pattern checks, timing/language signals, and external tools such as ReviewMeta/Fakespot where useful. I’ll categorize reviews as low/medium/high risk with evidence notes, but I’ll avoid claiming private identity verification unless the data you provide supports it. The final deliverable will be a clear spreadsheet plus a short summary of suspicious patterns and recommended next actions.

₹1,200 INR in 3 days