From 36% to 86% ATS Match: A Real Resume, Fixed

See exactly how a real, anonymized resume went from an ATS match of 36% → 86% using edits you can repeat today.

👉 Get started: ATS Resume Checker · Resume Keywords · Keywords Finder
📌 Helpful: run the Keywords Finder first, then scan the edited file in the ATS Checker.

New here? Start with: Mastering ATS Optimization

Case summary (quick reads)

• Profile: Sales Manager — SaaS (Senior), mid-career, 2-page resume
• Start: 36% ATS match — missing core skills, vague outcomes, icon-only contact info
• Finish: 86% ATS match — clean headings, measurable bullets, vendor names included
• Time spent: ~28 minutes (single pass)
• Export: PDF, single column, selectable text, embedded fonts

Step 1 — establish the baseline

We scanned the original PDF against a SaaS Sales Manager JD with the ATS Checker.

Flags:

• Missing core concepts: Pipeline Management, Forecast Accuracy, Renewals, MEDDIC
• Missing tools: Salesforce, Gong, LinkedIn Sales Navigator
• Sparse outcomes: few numbers for win rate, ACV/ARR, renewal rate
• Structure risks: contact info as icons, decorative bullets, mixed columns

Baseline: 36% match; multiple parsing risks.

Step 2 — fix structure so it parses cleanly

Changes:

1. Single-column layout; consistent headings (Summary, Experience, Education, Skills)
2. Icons → plain text for email, phone, LinkedIn
3. Standard list bullets (no custom glyphs)
4. Remove tables used for layout
5. Ensure PDF text is selectable; embed fonts

Why: parsers read text order and headings. Clean structure prevents dropped sections and jumbled content.

Step 3 — add role-specific skills and tools (naturally)

• Generated a seed list in Keywords Finder: “Sales Manager — SaaS, Senior”
• Wove 15–20 relevant terms into Summary, Skills, and experience bullets

Examples used:

• Core: Pipeline Management, Forecast Accuracy, MEDDIC, Territory Planning, Renewal & Expansion
• Tools: Salesforce, Gong, SalesLoft, LinkedIn Sales Navigator
• Outcomes: Win Rate, ACV/ARR, Churn, Renewal Rate

Tip: include vendor + generic at least once: “Salesforce CRM (CRM)”.

Step 4 — replace generic claims with measured outcomes

Before → After

• Before: “Responsible for sales pipeline and closing deals.”
  After: “Expanded ACV by +28% YoY; raised win rate from 21%→29% by standardizing MEDDIC in Salesforce and weekly deal reviews.”

• Before: “Managed team and accounts.”
  After: “Led 7 AEs; introduced stage definitions and forecast hygiene, improving forecast accuracy from 62%→86%.”

• Before: “Handled renewals.”
  After: “Lifted renewal rate from 84%→91% via early-warning playbooks from Gong insights and QBR action plans.”

Keep numbers truthful. If exacts aren’t shareable, use ranges (e.g., “~20–25%”).

Step 5 — align the heading and target

• Title the summary with the actual target role: “Senior Sales Manager (SaaS)”
• Add a one-line value statement: “SaaS new logo + expansion; forecast accuracy and win-rate lift.”

This clarifies intent for recruiters and scoring systems.

Step 6 — export cleanly

• PDF, single column, embedded fonts
• Sanity check: select all → copy → paste into a text editor. Order should be sensible; headings intact.

Re-scan results

Re-scan the revised PDF against the same JD:

• Match score: 36% → 86%
• Core concepts: most high-weight terms covered
• Tools: Salesforce, Gong, SalesLoft, LinkedIn Sales Navigator matched
• Outcomes: win rate, ACV/ARR, renewal rate, forecast accuracy present

Results vary by posting, but this method reliably improves parsing and relevance.

Repeatable checklist (copy this)

1. Single-column layout; real text for headings + contact info
2. Add 15–20 relevant keywords (core, tools, outcomes) naturally
3. Replace generic bullets with measurable results
4. Include vendor + generic naming once (e.g., “Salesforce CRM (CRM)”)
5. Export to PDF with embedded fonts; verify text is selectable
6. Scan with ATS Checker; close gaps and rescan

Quick start

1. Open Keywords Finder → generate role-specific terms
2. Blend the relevant items into Summary, Skills, and bullets
3. Export a clean PDF → run ATS Checker against the JD
4. Patch missing terms → rescan → apply

FAQ

How many keywords should I add?
Aim for 15–20 across Summary, Skills, and experience bullets. Keep it natural.

PDF or Word?
PDF is typically fine when it’s single-column with selectable text and embedded fonts.

Will this pass every ATS?
No universal guarantees. The structure + relevance approach improves your odds across systems.

Related

• Resume Keywords hub: /resume-keywords
• ATS Resume Checker: /resume-checker
• ATS-friendly Templates: /templates