sacchiStart free
Built specifically for Indian D2C skincare brands.

Your customers describe your sunscreen in a 45-second voice note. We turn that into social proof that converts.

Indian skincare customers already talk about your product on WhatsApp — in Hindi, Hinglish, Tamil, however they speak. Sacchi turns those voice notes into verified reviews that convert browsers into buyers.

We'll walk a real order through WhatsApp to a verified review, live — and show you what Judge.me misses.

An Indian woman records a WhatsApp voice note; the sound wave becomes a verified review card with star rating.

Currently onboarding 5 skincare brands personally for Q3 2026.

Founder-led setup, no sales team — by design.

Claim a pilot spot

We only work with skincare brands. That's not a limitation. That's our obsession.

The problem

"Good product." That tells you nothing.

Skincare customers research obsessively — skin type, texture, how a product actually holds up in Indian humidity. Then they leave a review that answers none of it.

Typical text review

"Good product, nice packaging. 4/5."

What it doesn't tell you

  • Was it too heavy for oily skin?
  • Did the sunscreen leave white cast?
  • Did it cause breakouts, or was it non-comedogenic in practice?
  • Did the serum feel sticky, or absorb clean?
  • How did the finish hold up in Mumbai or Chennai humidity?

Try it right now — no signup.

Send a voice note about a skincare product you bought recently — Hindi, Tamil, Hinglish, anything — and watch it become a review below in ~30 seconds.

Book a 15-minute demo.

We'll walk a real skincare order through WhatsApp to a verified review, live — and show you what Judge.me misses.

Your customers don't speak in star ratings. They speak in voice.

Sacchi captures what customers naturally say and turns it into structured information.

Skin typeSkin concernTextureFinishAbsorptionWhite castFragranceIrritationBreakoutsResultsDuration of useClimate / humidity performanceRepurchase intentPrice perception

What a voice note becomes

Do mahine se yeh sunscreen use kar rahi hoon. Mera skin oily hai toh normally sunscreen bahut sticky lagta hai, but yeh quite light hai. Shuru mein thoda white cast aata hai, but 10 minute mein chala jaata hai. Probably dobara kharidungi.

0:42 · Hinglish voice note

rating:4.5
skin_type:"oily"
usage_duration:"2 months"
texture:"lightweight"
finish:"non-sticky"
white_cast:"mild, fades in ~10 min"
repurchase_intent:"high"

Voice → AI → Verified Review + Skincare Intelligence

The same product, read differently

Same moisturizer. Three completely different experiences.

A star rating averages these into one number. Sacchi keeps them separate.

Illustrative example — not real customer data

Men · Bangalore

Bhai office jaane se pehle lagata hoon. Purana wala bahut oily tha, ye light hai. 8 ghante tak shine nahi aata. But winter mein thoda dry lagta hai.

0:38 · Hinglish voice note

rating:4.0
skin_type:"oily"
concern:"shine/grease"
finish:"matte"
duration:"8 hours"
climate:"mild"
seasonal_note:"slightly dry in winter"

Women · Bangalore

Do hafte se use kar rahi hoon. Mera combination skin hai, T-zone oily rehta hai. Ye perfect hai — cheeks pe hydrate karta hai, nose pe sticky nahi. Makeup ke neeche bhi acha base deta hai.

0:42 · Hinglish voice note

rating:4.5
skin_type:"combination"
concern:"T-zone oiliness"
texture:"balanced"
finish:"non-sticky"
makeup_compatible:true

Women · Chennai

Chennai weather mein bahut sticky creams hote hain. Ye light-a irukku, sweat pannalum face-la chipchipa illa. But AC room-la 3 hours-ku aprom thoda dry aagidum.

0:35 · Tamil voice note

rating:4.0
skin_type:"normal-to-oily"
climate:"humid"
concern:"sweat + stickiness"
texture:"lightweight"
finish:"non-sticky"
ac_performance:"slightly drying after 3h"

Judge.me shows you 4.2 stars. Sacchi shows you that men in Bangalore care about 8-hour shine control, women in Bangalore care about makeup compatibility, and women in Chennai care about humidity performance. Same product. Three different marketing angles.

That's the difference between a rating and intelligence.

Customer Voice Intelligence

Voice notes don't just become reviews. They become a live intelligence dashboard.

Every verified voice review feeds structured, skincare-specific data — not just a star rating.

4,281

reviews analyzed

Example dashboard · illustrative data

4.4★

Average rating

81%

Repurchase intent

12%

Texture complaints

8%

White-cast mentions

91%

Oily-skin satisfaction

Example AI-generated insight

White-cast complaints increased 18% this month, primarily among customers with deeper skin tones.

Example AI-generated insight

Customers in high-humidity cities report 1.1 points lower satisfaction with the product finish.

Illustrative example — shown with sample data. Your dashboard reflects your brand's actual verified voice reviews.

WhatsApp + Indian languages

Built for how Indian skincare customers actually talk.

Sacchi understands meaning and context in each language — not just transcription.

Hindi

"Product acha hai but thoda sticky lagta hai."

finish: sticky · sentiment: mixed

Hinglish

"White cast initially hai but after 10 minutes it's fine."

white_cast: mild, temporary

Tamil

"Sunscreen light-a irukku, white cast kuranthu 10 nimisham-le poidum."

texture: lightweight · white_cast: fades in ~10 min

Supports Hindi, Hinglish, Tamil and other Indian languages — more added as brands need them.

Works alongside your review stack

Keep your existing review stack. Add customer voice intelligence.

Judge.me / Loox

  • Review infrastructure
  • Review display
  • Review management

Sacchi

  • WhatsApp voice collection
  • Indian-language voice understanding
  • AI extraction
  • Skincare intelligence
  • Customer insights

Sacchi works alongside your existing review platform.

Judge.meLooxSacchi
Star ratings
Text reviews
WhatsApp collection
Voice notes
Skin-type extraction
Texture analysis
White-cast tracking
Humidity performance
Repurchase intent scoring
Private resolution loop~
Hinglish / Tamil native

Beyond the star rating

What are your customers really saying?

Structured, skincare-specific patterns pulled out of voice reviews — not just an average rating.

  • Example AI-generated insight

    Customers with oily skin prefer Product A's finish.

  • Example AI-generated insight

    White-cast complaints are concentrated in sunscreen reviews.

  • Example AI-generated insight

    Customers mention fragrance positively but increasingly complain about intensity.

  • Example AI-generated insight

    Repurchase intent is highest among customers who have used the product for 60+ days.

  • Example AI-generated insight

    Humidity-related complaints are increasing in Mumbai and Chennai.

Who Sacchi is built for

Built for ambitious Indian skincare brands.

  • Sell through Shopify
  • Have meaningful order volume
  • Already collect reviews
  • Use WhatsApp to communicate with customers
  • Want better customer feedback
  • Want to understand why customers love or dislike their products

How it works

From delivery to a five-star snippet.

  1. Order delivered

  2. One WhatsApp ask, day 30

  3. Customer replies in her language

  4. Verified review on your page

  5. Stars in Google results

"But what about bad reviews?"

Negative reviews reach you first — privately, in a live WhatsApp thread, while you can still fix it. Most 2-stars become 4-stars when a founder actually responds. The ones that stay critical make your 5-stars believable.

Order #1042·“pump leaked in transit”·verdict 2.0reply within the free 24-hour window

De-risked, on purpose

Every reason to say no, closed off in advance.

31%

reply rate vs 2% email*

68%

arrive as voice notes*

2–6 weeks

to stars in Google results

*targets from published WhatsApp-vs-email benchmarks; replaced with our live numbers as pilots complete.

0.5% conversion lift = ₹5L additional revenue

on ₹1Cr annual sales. Sacchi pays for itself at a 0.03% lift.

Illustrative math, not a guarantee — actual impact depends on your AOV, traffic, and conversion baseline.

How sacchi compares

Most review tools weren't built for what skincare customers actually say.

Email review appsWhatsApp suitessacchi
Voice notes
Structured from speech
Private resolution loop

Pricing

Pick a plan. No sales call required.

Built for growing skincare brands — priced for voice collection and customer intelligence, not just review volume.

Free

₹0/mo

50 voice reviews / month · 1 skincare brand

  • WhatsApp voice collection
  • Widget embed (2 copy-paste blocks)
  • Google rich snippets (Schema.org)
  • DPDP-compliant consent

Voice Collection

₹3,000/mo

500 orders / month

  • Everything in Free
  • Hinglish, Hindi, Tamil ASR
  • Verified purchase badge
  • Import existing Judge.me / Loox reviews
  • Meta WhatsApp costs at zero markup

Voice Intelligence

₹15,000/mo

2,000 orders / month

  • Everything in Voice Collection
  • AI insights dashboard (skin type, texture, white cast, humidity, repurchase intent)
  • Competitor benchmarking
  • City / climate performance tracking
  • Weekly AI-generated insight reports
  • Private resolution loop — WhatsApp alert to founder before negative reviews publish

Category Authority

₹40,000/mo

Unlimited orders

  • Everything in Voice Intelligence
  • Inclusion in the quarterly Sacchi Skincare Report
  • "Sacchi Verified" badge for product pages
  • Green-tick WhatsApp assistance
  • Dedicated success manager

Questions

Before you ask

Judge.me collects stars and text reviews. Sacchi extracts skincare-specific intelligence from voice — skin type, texture, white cast, humidity performance, repurchase intent. They can't go deep without abandoning their horizontal model.

See what your customers are really saying.

Book a 15-minute demo. We'll walk a real order through WhatsApp to a verified review, live — and show you what Judge.me misses.