Using Glassdoor and Review Site Data for B2B Sales Intelligence
By Email ExtractorPublished 6 min read
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Employer Reviews as Sales Intelligence
Employer review sites (Glassdoor, Indeed, Comparably, Blind) contain candid employee feedback that reveals company pain points. For B2B sales, these pain points map directly to products and services that solve them:
"We provide the training programmes your team is asking for..."
Benefits broker
Health, dental, retirement, wellness
"Benefits are lacking", "poor insurance"
"We help companies improve benefits packages..."
Employee engagement
Surveys, recognition, wellbeing
"Low morale", "not valued", "no recognition"
"Employee engagement is a solvable problem..."
Culture consulting
DEI, culture assessment, values alignment
"Toxic", "politics", "favouritism"
"Culture transformation starts with understanding..."
Data Sources
Employer review platforms
Platform
Data available
Access
Prospecting value
Glassdoor
Company ratings (1-5), pros/cons, CEO approval, interview reviews, salary data
Public (account required for full access)
High (most comprehensive)
Indeed
Company reviews, ratings, work-life balance score
Public
Medium-high (large volume)
Comparably
Company culture scores, DEI ratings, CEO ratings, compensation data
Public (limited free)
High (structured data)
Blind
Anonymous employee posts; candid discussions
Account required (work email)
High (very candid) but limited access
Kununu
European employer reviews
Public
Medium (European market)
InHerSight
Women's workplace ratings
Public
Medium (DEI-focused)
Fairygodboss
Women's workplace reviews
Public
Medium (DEI-focused)
Levels.fyi
Compensation data (tech focus)
Public
Medium (compensation intelligence)
What to extract from reviews
Data point
Where to find it
How to use it
Overall rating (1-5)
Company profile page
Companies rated 2-3 stars have pain points; 1-star may be in crisis
Rating trend (improving or declining)
Historical ratings
Declining = growing problems; improving = company investing in change
CEO approval rating
Company profile
Low CEO approval = potential leadership change; openness to outside help
"Cons" section patterns
Individual reviews
Repeated themes = systemic issues
Department-specific complaints
Reviews filtered by department
Target specific departments with relevant solutions
Review recency
Review dates
Recent complaints = current problems
"Advice to management" section
Individual reviews
Employees telling management what to buy / change
Interview reviews
Interview section
Hiring process quality; growth signals
Salary data
Salary section
Compensation benchmarking
Benefits ratings
Benefits section
Benefits gaps and complaints
Research Workflow
Manual research approach (compliant)
Step
Action
Time per company
Output
1
Search company on Glassdoor
1 minute
Company profile
2
Read overall rating and CEO approval
1 minute
Qualification signal
3
Read 10-15 recent reviews (focus on "cons" and "advice to management")
5-10 minutes
Pain point identification
4
Filter reviews by department (if available)
2-3 minutes
Department-specific intelligence
5
Check rating trend (is it improving or declining?)
1 minute
Trajectory
6
Note recurring themes
2-3 minutes
Outreach talking points
7
Cross-reference with LinkedIn (company size, growth, leadership)
3-5 minutes
Contact identification
Total
15-25 minutes per company
Complete intelligence brief
Scaling the research
Approach
Volume
Compliance
Notes
Manual research (read and note)
5-15 companies/day
Fully compliant
Highest quality; lowest volume
Glassdoor API (if available)
Hundreds of companies
Compliant (with approved API access)
Limited API availability
Company list + batch research
20-50 companies/day (with VA or team)
Compliant (manual research)
Delegate research to team
Review monitoring alerts
Continuous
Compliant
Set up Google Alerts for "[company] Glassdoor"
Industry-filtered research
Varies
Compliant
Research all companies in a specific industry
Using Review Intelligence in Outreach
Email personalisation with review data
Do
Do not
Reference general industry trends that match their pain points
Quote specific Glassdoor reviews in emails
Say "companies in your industry often struggle with [pain point]"
Say "your employees say [negative thing]"
Reference public information (ratings, awards, certifications)
Imply you have been reading negative reviews about them
Use review intelligence to target the RIGHT companies
Use review data to shame or embarrass companies
Reference "employee engagement" as a general business challenge
Name specific employees or attribute complaints to individuals
Template: review-informed outreach
Section
Content
Subject line
"[Their industry] companies and [general challenge area]"
Opening
"[Industry] companies growing from [X] to [Y] employees often hit a wall with [pain point that matches their review themes]..."
Problem (general, not review-specific)
"At your stage, the most common challenges we see are [pain point 1], [pain point 2] and [pain point 3]"
Value
"We help [their industry] companies improve [metric related to their pain points] by [X]% within [timeframe]"
Social proof
"We work with [X] companies in [their industry], including [relevant reference]"
CTA
"Is [pain point area] something your team is currently working on?"
Processing Company Research Data
After researching companies across Glassdoor, Indeed, LinkedIn and other sources, you will have notes, exported data and research files spread across multiple formats. Upload your compiled research files (CSV prospect lists, HTML page saves, exported company data, text notes) to Email Extractor to extract and deduplicate email addresses found across your research sources. Companies researched through multiple platforms often yield overlapping contact data, so deduplication ensures clean prospect lists.
