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Recruitment & Job Matching Service

A low-overhead B2B/B2C service that sources reliable blue-collar and retail workers and matches them with local businesses facing staff shortages.

Recruitment & Job Matching Service blueprint cover
Startup Cost
...
Monthly Cost
...
Monthly Revenue
...
Net Profit
...
Break-even
1 month
Time to Launch
1 week
Team Size
1 person
medium difficultyvery high demandmedium competitionstable

Market

Demand
very high
Competition
medium
Trend
stable

Target Customer
Restaurants, factories, and retail shops needing staff; job seekers

Team

Min People
1
Solo Possible
Yes ✓
  • Recruiter: Interviewing candidates, pitching to businesses, managing database

Financials

Startup Cost Breakdown

Phone/Laptop & Data...
Facebook Ads Budget...

Unit Economics

Cost/Unit
...
Price/Unit
...
Profit/Unit
...

Operations

Daily Tasks

  • Post job vacancies on Facebook groups
  • Screen CVs and conduct short phone interviews
  • Send shortlisted candidates to employer
  • Follow up on successful hires to collect fee

Tools

FacebookGoogle FormsExcel/Google Sheets

Marketing

Facebook Job GroupsCold Calling Businesses
  • Run hyper-local FB ads targeting 18-25 year olds for retail jobs
  • Walk into 'Help Wanted' shops and offer to fill the role in 48 hours

Estimated CAC: ...

Growth

Scale Method

  • Move into executive/white-collar headhunting (higher fees)
  • Provide payroll outsourcing services

Bottlenecks

  • Candidates not showing up for interviews destroying your reputation with employers

Risk

low risk
  • High turnover rate of placed staff
  • Employers refusing to pay the placement fee

Timeline

First 7 Days

  • Day 1: Set up a professional Facebook Page and Google Form for CVs
  • Day 2: Walk around a mall and note down all 'Hiring' signs
  • Day 3: Call 10 shops and secure 3 job orders
  • Day 4: Run FB ads and post in groups for those specific roles
  • Day 5: Phone screen 20 applicants
  • Day 6: Send top 3 candidates to the shops
  • Day 7: Follow up and collect first placement fee

Milestones

10 successful placementsMonth 1
Break-evenWeek 1
Database of 1000+ candidatesMonth 3