Skip to content
Feature · Review Intelligence

Turn every review into a revenue signal.

Most D2C brands read reviews manually, tab-switching across Amazon, Flipkart, Myntra, and Nykaa. DOPE aggregates every review, scores sentiment with NLP, and surfaces the patterns that matter — packaged into a weekly intelligence brief your team actually reads.

Stop counting stars. Start understanding why customers leave them.

4+Marketplaces covered
72hFirst report delivered
98%Sentiment accuracy
10×Faster than manual review

What Review Intelligence gives you

Every feature is designed for lean D2C teams that need the answer, not the spreadsheet.

Cross-platform aggregation

Amazon, Flipkart, Myntra, and Nykaa reviews in one unified timeline. No more tab-switching or manual collation.

NLP sentiment scoring

Every review is classified positive, neutral, or negative and tagged with themes: packaging, delivery, product quality, and more.

Churn signal detection

Negative reviewers who haven't reordered are flagged automatically so your team can intervene before the customer is gone.

Weekly intelligence brief

A concise Monday morning report summarising sentiment shifts, emerging complaint themes, and top wins — ready to share with your leadership.

Product-level breakdown

Compare review trends across SKUs. Identify which products have the best sentiment and which need immediate attention.

Linked to purchase data

Review sentiment is overlaid with purchase frequency so you know whether your best customers and your happiest reviewers are the same people.

"We were reading 300+ reviews a week manually across three platforms. DOPE collapsed that to a 5-minute Monday read. We caught a packaging defect from the sentiment spike before our returns spiked."

Founder, Indian skincare D2C brand · 2 400 orders / month

Frequently asked questions

Which platforms does DOPE aggregate reviews from?
Amazon India, Flipkart, Myntra, and Nykaa. Additional marketplace support is added on a rolling basis based on where your products are listed.
How does DOPE analyze review sentiment?
NLP models trained on Indian consumer language patterns classify each review and extract themes like packaging, delivery, product quality, and customer service — structured signal, not raw text.
How often is review data refreshed?
Weekly cycle. Brands receive a Monday morning intelligence report covering the previous week's review activity, sentiment shifts, and emerging complaint themes.
Can review analysis predict customer churn?
Yes. DOPE cross-references review sentiment with purchase recency to flag customers who left negative feedback and haven't reordered — a strong churn leading indicator.
Do I need to integrate with each marketplace separately?
No. Onboard your brand once and DOPE handles all marketplace connections. No separate API keys or accounts needed from your team.

Ready to stop reading reviews manually?

Set up in minutes. First intelligence report in 72 hours.

Get started free
About DOPE
Built by ScanMonk —
India's customer intelligence specialists.

From Gurugram, for India's consumer brands. We've spent years inside the messy reality of customer feedback systems — building the engine we wished existed.

400+
Founder conversations
50+
Consumer brands
India
First-product team
📘 Free PDF · 60 pages
The Customer Intelligence Playbook.

How Indian D2C brands collect, analyze, and act on customer feedback. Updated quarterly.

🏆 Q1 nominations open
D2C Brand of the Quarter.

Quarterly award for India's most customer-obsessed D2C brand. Winner gets ₹5L credits + PR push.

Phone
+91-78387916141
Email
[email protected][email protected]
HQ
10th Floor, Awfis Co-Working,
Paras Trinity, Sector 63,
Gurgaon, Haryana 122102
Quick links
What DOPE answersHow it worksGet startedFAQ
DOPE· © 2026
Made with care · Gurugram