Proprietary Resume Research & ATS Statistics

A comprehensive data-driven study analyzing applicant tracking system (ATS) compatibility, common applicant errors, and the direct impact of AI-driven optimization. Based on a randomized, anonymized sample of 1,159+ resumes in India.

Last Updated: May 2026Sample Size: 1,159 ResumesSource: RoastMyCV Data Engine

Average ATS Score Before58/100

Highly susceptible to automated rejection filters.

Average ATS Score After AI89/100

Recruiter-ready and highly competitive.

+31 PointsAverage Score Improvement

Key Metrics & Diagnostic Data

Metric Analyzed	Value	Context & Practical Implications
Average Pre-Optimization Score	58 / 100	The baseline ATS parser compatibility score for resumes submitted by applicants before any advanced rewriting or optimization.
Average Post-AI Optimization Score	89 / 100	The average ATS compatibility score after processing the resume through RoastMyCV's contextual AI rewriter.
Average Score Improvement	+31 Points	A statistically significant increase in parser accuracy and keyword match rate across all tested role categories.
Pre-Screen Rejection Rate	75%	The proportion of resumes discarded by automated screening systems before a human recruiter conducts a physical review.
Missing Role-Specific Keywords	67%	The percentage of resumes that fail to include primary and secondary terms explicitly specified in the job description.
Poor or Unparsable Formatting	48%	The prevalence of resumes utilizing text boxes, tables, custom fonts, icons, or complex layouts that corrupt the parsing stream.
No Quantified Achievements	71%	The proportion of resumes that list generic responsibilities instead of measurable business outcomes (e.g. key performance indicators, %, currency).

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