Data Analysis
Job Search
Case Study

I Sent 150 Applications: Here's the Data

By Mike at RoleShift

June 23, 2025

3 min read

After getting laid off, I sent 150 job applications in 2 weeks. I tracked everything: time spent, keywords used, response rates, and conversion metrics. Here's the complete data breakdown.

This aggressive approach wasn't random – it was systematic. And the data revealed patterns that shaped how I built RoleShift.

The Numbers

Overall Statistics

  • Total applications: 150
  • Time period: 2 weeks
  • Total responses: ~30-35 (~20-23%)
  • Phone screens: 6 (4%)
  • Multi-stage interview processes: 3 (2%)
  • Offers: 1 accepted

Note: Industry average response rates typically range from 10-20%¹

Response Rate by Channel

Job Application Flow: 150 Applications → 35 Responses → 9 Interviewing → 3 Offered → 1 Accepted, 2 Declined, 29 Rejected
  • Company websites (45 applications)
    Response rate: 24% → Best channel
  • LinkedIn Easy Apply (60 applications)
    Response rate: 15% → High volume, moderate success
  • Indeed (30 applications)
    Response rate: 17% → Consistent performer
  • AngelList (15 applications)
    Response rate: 20% → Great for startups

Time Analysis

Best days to apply (based on my data):

  • Early week (Monday-Wednesday): Higher response rates
  • Morning applications: Better visibility

Lower response times:

  • Friday afternoon: Lower engagement
  • Weekend: Reduced activity

Research suggests applying early in the week during morning hours (before 10 AM) increases visibility²

Pro Tip

Automate this with RoleShift →

What Correlated with Success

  • Mid-sized companies
    Often higher response rates in my experience
  • Fresh postings (within 48 hours)
    Better response rates than older listings
  • Direct hiring manager contact
    Significantly higher conversion to interview

Key Learnings

  1. Volume matters when unemployed - cast a wide net
  2. Track everything - data reveals patterns
  3. Optimize based on results, not assumptions
  4. Tuesday/Wednesday mornings = golden hours
  5. Company websites > job boards for quality

From Data to Solution

This experiment taught me that job searching at scale requires automation. Manually tailoring 150 applications nearly burned me out. That's why I built RoleShift - to maintain this volume without sacrificing quality or sanity.

Ready to automate these strategies?

RoleShift applies these exact tactics to beat ATS filters automatically

RoleShift leverages these insights:

  • Optimized for high-volume applications (5 per day)
  • Built-in tracking and analytics
  • ATS optimization based on real data
  • Cover letter generation that actually converts
  • All for a one-time $29 payment

The same systematic approach that got me from 150 applications to a real job offer, now available as a tool.

The Bottom Line: My ~20% response rate and 2% interview process rate reflect the competitive job market. Quality matters more than quantity - it's about getting the right interviews, not the most. Industry data shows response rates vary widely (10-20% average)³, with platform and approach making a significant difference.

Want to replicate these results without the manual grind? Start your 30-day sprint with RoleShift and let automation handle the heavy lifting while you focus on interview prep.

Sources

  1. 2024 Job Application Statistics - HiringThing
  2. Best Time to Apply for Jobs - Let's Eat, Grandma
  3. Job Application Response Rates - Uppl.ai

Keep Learning

Tired of ATS Rejections?

You've learned the tactics. Now automate them. RoleShift applies these exact strategies to every application, ensuring your resume beats the bots every time.

  • Automatic keyword extraction & matching
  • ATS-optimized formatting every time
  • 5 tailored applications in 30 minutes

Start Your 30-Day Sprint

Join hundreds who've transformed their job search from a grind into a system

One payment • 150 applications • 7-day guarantee

Average

3 real opportunities

Success rate

8% vs 2%

Time saved

135 hours