Consumer review analysis
Why do they buy, and what frustrates them?
- Unified analysis of text, audio, and video reviews
- Purchase drivers, satisfaction, and dissatisfaction
- Beauty, appliances, automotive, and more
AI Consumer Insight Platform
Your customers have already spoken.Answer with strategy, with DILLAB.
We analyze the real voice of your customers across text, audio, and video reviews,
and turn it into actionable strategy for product planning and marketing.
DILLAB Insight Dashboard
Sample dataReviews analyzed
12,480
Positive share
68%
Top complaint
Price
Overall score
6.5 / 10
▲ 0.4
Positive vs. negative reviews by month
PositiveNegative
AI insight summary
- "Soothing" and "absorption" lead purchase drivers
- Price complaints up three months in a row
- Efficacy scores beat the competitor average
Channels
Reviews from every channel, turned into strategy you can act on
From retail reviews to social and video content
- YouTube
- TikTok
- X
- Naver Smart Store
- Brand-site reviews
DILLAB clients
About DILLAB
Twenty years of consumer research expertise, sharpened by AI
DILLAB analyzes customer reviews with AI, then adds the judgment of seasoned consumer researchers, so you get strategy you can put to work right away.
What we stand for
Deep Insight
We dig deep to surface the insights that matter.
Data Intelligence
We connect diverse data to find what is truly meaningful.
Delight from Insight
We create new value that brings more delight to businesses and consumers.
Expert Service
Plenty of data, but no time or team to analyze it?
DILLAB's expert team works with you,from analysis to strategic recommendations
DILLAB AI runs the first pass. Our experts then analyze and validate the findings and deliver a report with strategic recommendations.
01
Custom AI analysis design
We design the channels and metrics with you, based on your product category and target audience.
02
Expert-validated reports
Not just numbers: marketing strategies and action plans you can apply right away.
03
Continuous monitoring
Track market shifts and customer reactions on a real-time dashboard.
DILLAB
Why people buy, and what actually sold, in one place
Reviews explain the why. Commerce data shows the results.
Influencer commerce analysis
Who sold, how, and how much?
- Sales by creator, video, and live stream
- Creator recommendations for each product
- Competitor sales strategy analysis
Consumer review analysis
Sound familiar? Common struggles with review analysis
Reviews keep piling up, but there's no time to read them
- Reviews are scattered across channels
- Thousands of reviews read and sorted by hand
- Not enough analysts on the team
We have numbers, but no interpretation
- Existing tools stop at ratings and sentiment ratios
- No clear answer to "so what should we do?"
- Misreading the data adds risk
We want to catch the complaints left unsaid in videos
- Usability issues that never show up in text reviews
- Moments where setup and first use go wrong
- All the other reactions and feedback captured on video
Multimodal Engine
From text to video,analyzed all at once
Not just summaries: strategy you can act on
Text, audio, and video unified in a single analysis framework
01 · Input
Text
Review text and ratings
Audio
Short-form and YouTube audio
Video
Product use and demo videos
02 · Engine
DILLAB Multimodal Intelligence Engine
Text · Audio · Video
03 · Analysis
Purchase drivers, satisfaction, and complaints, auto-classified
Side-by-side comparison with competing brands
04 · Insight
DILLAB Strategic Insight
Strategy reports built on 20+ years of research expertise
Multimodal Analysis
Text, audio, and video:the whole customer experience in one view
TEXT Review analysis
“It took me ages to get from unboxing to first use. I kept checking the manual.”
AI analysis
- Category
- Dissatisfied · Setup/first use
- Sentiment
- Negative 82%
AUDIO Voice analysis
00:42“The bean container doesn't come off, so cleaning it is a bit of a hassle.”
AI analysis
- Category
- Dissatisfied · Cleaning/care
- Sentiment
- Neutral → turned negative
VIDEO Video analysis
Expression detected · SurpriseAI analysis
- Scene
- Assembling parts · re-checking orientation
- Cause
- Unclear assembly order
Influencer commerce analysis
Find creators through what's inside their videos
Different goals call for different types of creators.
DILLAB Creator Agent
- 1
Discover
Cast a wide net using cues inside videos
- 2
Classify
Group creators by format and category
- 3
Act
Prioritize collaborations by goal
Content search
Catch creators who mention your brand, even without tags
Visual matching
Match on lighting, tone, composition, and mood, beyond the profile
Precision filters
Narrow candidates by country, age, followers, and engagement
Creator Discovery
DILLAB Creator Agent sets priorities based on your goals and budget
Solutions
DILLAB solutions for your industry and channels
Beauty
Ingredients, efficacy, texture:ground your next product in reviews
Questions it answers
- How do our texture complaints compare with competitors'?
- Which ingredients actually drive purchases?
- What unmet needs should the next product address?
Built for
R&D · Product planningMarketing
A Toner Pad · 1,842 reviews
Sample data6.5
/ 10 overall score
Competitor avg. 6.1
Competitor avg.
- Efficacy7.8
- Ingredients7.1
- Price4.4
- Texture7.4
- Safety5.6
#soothing#absorption#scent#irritation#size
“It's gentle, but the price is a bit steep.”
Appliances
From purchase drivers to setup and first use,all the way to usage videos
Questions it answers
- How do purchase drivers differ by brand?
- Where do customers get stuck during setup and first use?
- Which moments in usage videos cause friction?
Built for
Product planningMarketingUXCSLarge appliances coming soon
Fully automatic coffee machines · Purchase drivers, 5 brands (%)
Sample data| Brand | Design | Convenience | Size | Price | Taste |
|---|---|---|---|---|---|
| Brand A | 52 | 21 | 8 | 12 | 31 |
| Brand B | 18 | 46 | 12 | 15 | 29 |
| Brand C | 22 | 51 | 9 | 18 | 24 |
| Brand D | 16 | 24 | 10 | 41 | 28 |
| Brand E | 11 | 17 | 49 | 20 | 26 |
Darker cell = higher shareOutline = #1 driver per brand
Design drives Brand A, convenience drives Brand C, and size drives Brand E
Video analysis
Catch the friction no one mentions,scene by scene in usage videos
Questions it answers
- At which moments do users hesitate?
- How do emotions shift across expressions and speech?
- Which friction points keep coming back?
Built for
UXProduct planningCS
Usage video analysis · Coffee machine
Sample data
Expression · Surprise 82%
YouTube review video · 02:14AI analyzingThe bean container doesn't come off, so cleaning it is a bit of a hassle.
00:42 / 02:14
Auto-generated insight
00:42- Scene
- Removing the bean container · Repeated attempts
- Speech
- “The bean container doesn't come off, so cleaning it is a bit of a hassle.”
- Sentiment
- Neutral → turned negative
- Category
- Dissatisfied · Cleaning/care
Top 3 friction scenes
- 1Removing and washing the bean container38 videos · avg. 00:42
- 2Re-checking part orientation27 videos · avg. 01:05
- 3Hunting through settings before the first brew19 videos · avg. 01:38
Instagram analysis
Read creatorsby type
Set outreach priorities before you pitch a collaboration.
Questions it answers
- Which creator types actually drive sales?
- Which type earns the most per video?
- Should live selling run as its own track?
Built for
MarketingCommerce
Share of sales by creator type
Sample data- AEfficiency hero
Video · Beauty specialist
34%of sales
16 creators · $1,240 per video
- BVolume driver
Video · Beauty mixed
29%of sales
14 creators · $880 per video
- CHidden high performer
Video · Non-beauty
27%of sales
8 creators · $1,610 per video
- DSeparate live track
Live
10%of sales
6 creators · $12 per video
TikTok Shop analysis
Who sold, how,and how much?
Questions it answers
- How concentrated are sales among a few creators?
- Do products sell more through videos or live streams?
- What kind of creators top the sales chart?
Built for
MarketingCommerceSales
Brand A · US TikTok Shop · Last 90 days
Sample data90-day revenue
$3.2M
Creators with attributed sales
12,480
Top-10 creators' share
34.7%
Top-selling videos run as ads
88%
Sales concentration (cumulative)
- Top 1034.7%
- Top 2551.2%
- Top 5068.9%
- Top 10084.8%
- Top 20092.1%
Video vs. live sales
- Video72%
- Live28%
Top creators
- 1Creator A · Beauty specialist$96K
- 2Creator B · Beauty mixed$88K
- 3Creator C · Non-beauty$81K
Trend reports
Explore trend reportsbuilt with DILLAB
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