Key Takeaways

  • 75% of U.S. employers use automated applicant tracking systems to screen resumes before a human reviews them (Harvard Business School & Accenture, 2021)
  • The most common ATS failures are missing keywords, incompatible formatting, and incorrect file types
  • ResumeGeni scores your resume across 8 parsing layers — modeled on the same steps enterprise ATS platforms like Workday, Greenhouse, and Taleo use to evaluate candidates

How ATS Resume Scoring Works

Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then score how well that data matches the job requirements. Many ATS rejections happen because the parser couldn't extract critical fields, not because the candidate wasn't qualified.

LayerWhat It ChecksWhy It Matters
Document extractionFile format, encoding, readabilityCorrupted or image-only PDFs fail immediately
Layout analysisTables, columns, headers, footersMulti-column layouts break field extraction
Section detectionExperience, education, skills headingsNon-standard headings cause sections to be missed
Field mappingName, email, phone, dates, titlesMissing contact info is a common cause of immediate rejection
Keyword matchingJob-specific terms, skills, certificationsKeyword overlap affects recruiter search visibility and ATS scoring
Chronology checkDate ordering, gap detectionReverse-chronological order is expected by most ATS
QuantificationMetrics, numbers, measurable outcomesQuantified achievements help human reviewers and some scoring models
Confidence scoringOverall parse quality and completenessLow-confidence parses get deprioritized in results

Frequently Asked Questions

Is ResumeGeni free?
Yes. ResumeGeni is currently in beta — ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.
What file formats are supported?
PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?
Your resume is processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.
Can ATS read PDF resumes?
Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?
Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

ATS Guides & Resources

Built by engineers with 12 years of experience building enterprise hiring technology at ZipRecruiter. Last updated .

Principal Consultant

Wppmedia · Cape Town, South Africa; Johannesburg, South Africa

About WPP

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.

About the Role

This pivotal role will drive strategic growth, foster client relationships, and champion thought leadership within the organization and across the industry. The Principal Consultant will be instrumental in shaping our data-led product and service offerings, ensuring we deliver market-leading innovation and value to our clients. This is a highly client-facing role that requires a blend of strategic vision, technical acumen, and exceptional leadership skills.

Key Responsibilities:

 Lead the Local Consulting Team: Provide strong leadership and mentorship to a team of data and technology consultants, fostering a collaborative and high-performance culture. Oversee project delivery, resource allocation, and professional development for team members.

  • Pre-Sales for Consulting Work: Act as a key contributor in the pre-sales process, engaging with prospective clients to understand their business challenges and articulate how Choreograph's data and technology solutions can drive their marketing objectives. Develop compelling proposals and presentations that showcase our expertise and value proposition.
  • Scoping of Consulting Projects: Lead the detailed scoping of complex data and technology consulting projects, defining objectives, deliverables, timelines, and resource requirements. Ensure alignment between client expectations and project execution.
  • Drive Client Growth through Strategic Partnerships (Google): Cultivate and strengthen strategic partnerships, particularly with key technology providers like Google. Identify opportunities to leverage these partnerships to enhance our service offerings, drive innovation, and expand our client base.
  • Thought Leadership Across the Business: Serve as a recognized expert and thought leader in data, analytics, and marketing technology. Share insights, best practices, and emerging trends internally and externally through presentations, whitepapers, and industry events.
  • Oversee the Development of New Data-Led Products and Services: Take a leading role in the ideation, development, and launch of innovative data-led products and services. Guide solutions from concept to market, ensuring they meet client needs and align with Choreograph's strategic vision.
  • Work with the Global Consulting Community of Practice: Actively participate in and contribute to Choreograph's global consulting community of practice. Collaborate with international colleagues to share knowledge, develop standardized methodologies, and ensure the delivery of market-leading work in the SSA region.
  • Client Facing: Build and maintain strong, trusted relationships with senior-level clients. Act as a primary point of contact, understanding their evolving needs, providing strategic guidance, and ensuring client satisfaction and retention.
  • Building and Mentoring Teams: Recruit, develop, and mentor a high-performing team of consultants. Foster a culture of continuous learning, professional growth, and excellence.

 

 

Required Capabilities:

  • Extensive experience (10+ years) in data, analytics, and marketing technology consulting, with a proven track record of leading successful projects and teams.
  • Deep expertise in data strategy, data architecture, audience segmentation, measurement, and activation.
  • Strong understanding of the digital advertising ecosystem, including ad tech and martech platforms (DSPs, DMPs, CDPs, ad servers, analytics tools).
  • Demonstrable experience with Google's marketing and cloud platforms (e.g., Google Cloud Platform, Google Marketing Platform, Google Ads) and a strong understanding of their capabilities and integration.
  • Proven ability to drive pre-sales activities, including proposal development, client presentations, and deal closing.
  • Exceptional client-facing skills, with the ability to build rapport, influence stakeholders, and manage complex client relationships at all levels.
  • Strong leadership and team management experience, with a passion for mentoring and developing talent.
  • Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to non-technical audiences.
  • Strategic thinker with a commercial mindset, capable of identifying new business opportunities and driving revenue growth.
  • Experience in product development or innovation within a data-driven environment is highly desirable.
  • Bachelor's degree in a relevant field (e.g., Computer Science, Marketing, Business, Statistics); Master's degree preferred.

Qualifications:

  • Bachelor's degree in a relevant field (e.g., Computer Science, Marketing, Business, Statistics)
  • Over 10 years of relevant experience

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