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We notice what you miss

Somewhere, right now, a customer is one comment away from loving you publicly.

DOPE flags who's about to leave, and who'd happily recommend you - before either one goes public.

Start free trial →See how it works
Hover the board to see what's hiding in plain sight
"Where is my order??"
"Obsessed. Told 3 friends."
"Size ran small on me."
"Works fine, thanks."
"Packaging arrived crushed."
"Would 100% recommend."
"Where is my order??"Detractor
"Obsessed. Told 3 friends."Promoter
"Size ran small on me."Detractor
"Works fine, thanks."Passive
"Packaging arrived crushed."Detractor
"Would 100% recommend."Promoter
move your cursor over the board
Right now, in your inbox

Feedback doesn't wait for standups.

Complaints scatter across WhatsApp, email, and drafts nobody's read yet. By the time it's public, all you can do is apologize. DOPE surfaces the same signal a product review app shows you, just weeks earlier.

Reviews live in scattered inboxes, disconnected from the product.
You see the star rating. Rarely the real reason.
Feedback reaches teams only after it's already a pattern.
You react to problems only after they hit sales.

Detractors

Trust score dropping, hasn't gone public yet. Flagged first, with the reason and a fix.

Promoters

Would recommend you today, if only someone asked. Routed to leave the review that helps.

How it works

Three steps. No internal team required.

Your channels do the sending. DOPE does the reading, scoring, and filing.

01

Collect

A quick ask after every order, on WhatsApp, SMS, or email - automated, under your name.

WhatsAppSMSEmail
02

Analyse

Every reply filed: sentiment, theme, churn risk, Trust Score. Not a star average - the real reason.

SentimentThemesChurn risk
03

Act

Detractors get a fix and a reason. Promoters get routed to leave a review. Nothing sits unresolved.

FixRouteClose
The mix · framework preview, illustrative

Every customer base is a mix of three.

An illustrative example of how customer retention actually breaks down once you're reading the signal - not live data.

450

Detractors

Flagged at-risk this month, reason attached, before going public.

illustrative example
1,150

Passives

Satisfied enough to stay, quiet for now.

illustrative example
3,000

Promoters

Ready to vouch publicly, routed to the platforms that matter.

illustrative example
Built for your category

Ten categories. Ten different kinds of signal.

Built for high-repeat D2C brands doing 3,000+ orders a month. Every category leaves a different trail.

🧴

Skincare

Texture & absorptionPackaging issuesIngredient sensitivity
💊

Wellness

Format preferenceTaste & smellChurn reasons
🍯

F&B

Taste & freshnessLeakage/damageFlavour demand
🪒

Grooming

Tool performanceScent preferenceSkin irritation
🏠

Home & Living

DurabilityAssembly issuesColour match
💄

Beauty

Shade matchWear timeApplicator issues
🥤

Nutrition

Taste maskingMixabilityDosage convenience
👕

Apparel

Fit & sizingFabric qualityNext design
🐾

Pet Care

PalatabilityDispensing easeIngredient safety
🍼

Baby Care

Skin sensitivityEase of usePackaging safety
Frequently asked

Questions people actually ask

Click to open. The answers here match the schema markup exactly, word for word.

NPS sorts customers into Promoters, Passives, and Detractors based on one question. Trust Score goes further - it reads the actual reason behind every reply, so you know not just who's at risk, but why.
A short, automated ask goes out after every order on WhatsApp, SMS, or email. Replies get read and scored for sentiment, theme, and churn risk - no manual tagging required.
Yes. WhatsApp is one of three supported channels alongside SMS and email, chosen because it's typically where a reply is easiest to send - messages arrive inside an app people already open dozens of times a day, with no inbox competing for attention.
SMS typically sees much higher open rates than email, though this varies by industry and message quality. DOPE uses SMS for post-purchase feedback collection, not promotional blasts, which keeps response rates healthy - the same reason frequency matters more than clever copy on this channel.
Review apps show you the review after a customer has already decided to post it publicly. DOPE reads the signal before that decision gets made, so a bad experience can be fixed in private instead of showing up as a public 1-star review.
$10/month as a flat base fee, plus a per-order rate that drops automatically as your volume grows - the first 1,200 orders each month are free, and there are no named plans to pick between. Every install includes a 30-day free trial with no charge until it ends. Billed and converted to INR automatically through your Shopify invoice. See the full calculator on the pricing page.
Plans & pricing

One flat fee, plus a rate that drops as you scale.

No plans to pick. No upgrade prompts. Billed monthly through your Shopify invoice.

$10/month base, plus usage
First 1,200 orders/month free - then a per-order rate that automatically drops as your volume grows, from $0.0072 down to $0.0037.
Billed and converted to INR automatically through your Shopify invoice - no separate DOPE billing to manage. See the full calculator, with your own order volume, on the pricing page.
See the full calculator →Install on Shopify →
Data & security

Your data. Handled with care.

🔒

AES-256 encryption

Per-brand secrets encrypted, in transit and at rest.

👁

Read-only access

We read from Shopify and Amazon - never write.

🇮🇳

India-based storage

No cross-border movement by default.

🛡️

Isolated by design

JWT auth, signed webhooks, brand-level isolation.

Your data, your control

Yours to export or deleteanytime. Never sold, never used to train AI, never mixed with other brands' data.

Built with data protection principles aligned to India's DPDP Act - a design principle, not a claimed certification.

Start your 30-day free trial.

No credit card required. Cancel anytime. See what DOPE catches on your own data.

Install on Shopify →
Pilot cohorts open now for D2C brands processing 3,000+ orders a month.