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How do you raise a low match score?

Close Missing terms you can prove, then Re-analyze. Do not rebuild the resume. A higher donut is not an ATS pass.

FluxResume Team · 3 min readResume

Raise a low match score by closing Missing terms you can honestly prove, then click Re-analyze. Do not rebuild the whole resume. FluxResume will not promise a 70 percent jump, and a higher donut is not an ATS pass.

  • Read Missing first. Those rows are the only work that can move the donut.
  • Rewrite the summary and three to five bullets. Leave titles, dates, and numbers alone.
  • Run Re-analyze after hand edits so you see the new score without a rewrite.
  • Smart Match Resume is optional. Review medium-risk cards. Delete anything you cannot say out loud.
  • If you are already in the 80s, expect polish, not a leap. The docs screenshot is an example, not a promise.
  • The same honest line is should you tailor your resume for every job.

Close gaps. Keep the truth.​

A 30-to-70 hook is a caption, not a product guarantee. Keep the experience. Change the wording to this posting. Rescore.

Open the linked resume from Pipeline or from the MATCH SCORE card in Documents. Filter Matched Requirements to Missing. Place one proven term at a time. Product: https://fluxresume.io/job-based-resume/.

The starting read is how you see a match score before you apply. The gap list is how you find resume keyword gaps. After you send, stage Applied as what you do right after you apply.

Common questions​

Will Smart Match Resume always raise the score?​

No. It rewrites summary and bullets and tries to cover gaps. Your numbers will differ from the 62% to 85% screenshot in the Job Based Resume doc.

What if you cannot prove a Missing skill?​

Leave it Missing. Inventing a tool you never used is not a raise. It is a line you will fail in the interview.

Should you rebuild the resume from a blank page?​

No. Keep the spine. Move the relevant work up. Use the posting's words for work you already did.

Is a higher score an ATS pass?​

No. The donut is FluxResume overlap for this file and this JD. It is not a vendor forwarding threshold.