Live intelligence for boutique beauty

Your customers already wrote the answer.

Every review names what to fix, what to say louder, and who is about to buy again or leave.

We read all of them, so every department decides on evidence.

★★★★★ · verified review

Been using this for two weeks. The formula is so creamy and blends like a dream. The first time, couldn't believe it was gone by noon and oxidized into an orange tone. Tho later, I paired with a primer base and now zero issues! For this price? 10/10 already placed the next order!

Wear complaint — DisappointmentRETURN RISK
Workaround found — primer prevents oxidationR&D LEAD
Repurchase intent — JoyDEMAND SIGNAL
one review of 15M · read automatically
You are already reading the demo — every visual below is a live view from the product
View 01 · One review, many signals

Aspect-based analysis turns a wall of text into structured, countable evidence.

Every phrase carries three signals. Sentiment gives the direction, emotion gives the stakes — disappointment precedes returns, surprise spreads by word of mouth.

★★★★★ · verified review

Been using this for two weeks. The formula is so creamy and blends like a dream. The first time, couldn't believe it was gone by noon and oxidized into an orange tone. Tho later, I paired with a primer base and now zero issues! The little bottle is gorgeous though! For this price? 10/10 already placed the next order!

PhraseAspectSentimentEmotion
"so creamy" TEXTURE Positive Satisfaction
"blends like a dream" APPLICATION Positive Joy
"couldn't believe it was gone by noon" WEAR Negative Surprise
"oxidized into an orange tone" WEAR Negative Disappointment
"paired with a primer base…" USAGE Neutral Relief
"little bottle is gorgeous" PACKAGING Positive Satisfaction
"For this price? 10/10" VALUE Positive Satisfaction
"already placed the next order" REPURCHASE Positive Joy
Derived from this one review — automatically
Demand signal
Repurchase intent logged — counted into this product's repeat-purchase outlook.
R&D lead
Workaround detected: a primer base prevents the oxidation — a theme shared with 213 other reviews.
Return risk
Disappointment concentrates on wear — the emotion that most often precedes a return.
View 02 · Product breakdown

Understand each product the way your customers do.

A 4.6 rating is an average of everything at once.
Break it into what people actually talk about and how they feel when they do.

→ Decide what to fix first — and what marketing should say louder.

Example of BB Cream
Share of comments · by taxonomy · colored by sentiment
Texture 22% Coverage 17% Wear 15% Packaging 31% Shade range 9% Value 6% PERFORMANCE PACKAGING PRODUCT COMMERCE
Aspect ⓘ Volume ⓘ Sentiment ⓘ Emotions ⓘ Recurring comments ⓘ
Packaging
Packaging
31%
SatisfactionJoy
"gorgeous packaging""feels luxe"
Texture
Performance
22%
JoySatisfaction
"so creamy""blends like a dream"
Coverage
Performance
17%
Satisfaction
"buildable coverage""natural finish"
Wear
Performance
15%
DisappointmentAnnoyance
"creased by noon""oxidized orange"
Shade range
Product
9%
CuriositySatisfaction
"need more shades""matched me well"
Value
Commerce
6%
Satisfaction
"worth it""a little goes far"
View 03 · Segments & benchmarks

Consider the context

The same signal means different things to different customers.
Segment the voices that talk about your product or change what you are comparing against.

→ Stop overreacting to signals that are normal for your segment or price point.

View 04 · Drift alerts

Make proactive, not reactive calls

Based on what thresholds are acceptable to you, we flag any deviation from the norm so nothing catches you by surprise.

→ Trace the cause weeks before it shows up in returns.

BB Cream Category competitor Price-point competitor
BB Cream vs Competitors on: Packaging
3 wks ago 2 wks 1 wk now
Did you change your shipping methods about a week ago?
BB Cream vs Competitors on: Wear
3 mo ago 2 mo 1 mo now
Did you switch one of your ingredient suppliers last quarter?
BB Cream vs Competitors on: Value
early sum. mid late now
Is this summer's pricing mood hitting everyone — or just you?
For every desk

Every department stops guessing.

Each team gets its own views and alerts. A taste of the questions they stop debating:

R&D · Formulation
"Which complaint is growing before returns do?"
"oxidized" mentions category avg
Reformulate on evidence — weeks before it costs you.
Marketing · Content
"Which praise do customers repeat that our copy never says?"
"blends like a dream" 34% "weightless" 26% "dewy glow" 19%
Write ads in your customers' own words.
Sales · Retail
"Which products earn repurchase — and which quietly churn?"
Lip Tint BB Cream Serum Toner churn risk
Push what brings customers back — flag what loses them.
Operations · Supply
"Did the cheaper supplier change what customers feel?"
supplier switch texture sentiment
Verify every supply change in weeks, not quarters.

What star ratings and sales data can't do

01 / attribute-level
Praise and complaints per feature — not one blended number.
02 / competitive
The exact same lens turned on every rival in the category.
03 / longitudinal
Catches shifts over time — a formula change customers notice first.
04 / auditable
Click any number and read the exact reviews behind it — traceable, not a black-box guess.