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Changing Industries: Maximizing Your Match Score Despite the Gap

Moving from retail to tech, finance to events, or consulting to the public sector — the vocabulary gap between your resume and the job listing can weigh heavily on your match score. But it's not inevitable: cross-sector competencies have value everywhere, provided they're framed correctly.

Why Match Scores Drop in Industry Transitions

Every sector has its jargon. A "client relationship manager" in banking is an "account executive" in SaaS. A "site supervisor" becomes "project manager" in international construction. ATS and matching algorithms don't always bridge these equivalences — it's your job to make the translation explicit in your resume.

4-Step Strategy to Maximize Cross-Sector Matching

  1. Analyze the target sector's vocabulary — read 10 job listings and note the recurring terms you don't currently use in your resume.
  2. Find your equivalences — for each competency you have, find the term used in the new sector.
  3. Reframe your past experience using the new vocabulary — while staying honest about your actual responsibilities.
  4. Test the result — compare your reframed resume against a target-sector listing with Profilynk.
💡 Example: Coming from nonprofit to startups. "Volunteer coordination" becomes "people management without hierarchical authority", "fundraising" stays or becomes "business development / partnership growth", "event management" becomes "operations management".

Universally Valued Competencies Across All Sectors

Project management
Team leadership
Data analysis
Client management
Negotiation
Written communication
Budget management
Problem-solving
Measure your vocabulary gap with the target sectorFree — compare your resume against a target listing in 30 seconds
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About the author

Corentin Combalbert

Brand Manager & Digital Marketing Expert

Digital marketing expert with 10+ years of experience — from luxury hospitality (Waldorf Astoria) to premium co-working (Deskopolitan). Lecturer in digital marketing at Bachelor to Master level and speaker at Skema Business School.

Frustrated by seeing strong profiles blocked by ATS filters, he built Profilynk for his own use — then made it free for everyone.