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Benchmarks/Account Management / Customer Success

LinkedIn Benchmark for Account Management / Customer Success Professionals

Directional

See how Account Management / Customer Success professionals compare across LinkedIn visibility, career strength, and AI resilience.

Updated August 24, 2026

Compare Me With Account Management / Customer Success Professionals →

Free · Uses your LinkedIn export · No scraping

Built from patterns across 1.935 million+ LinkedIn connections analysed on RankedIn.

LinkedIn Score
67
AI Resilience
72

What stands out

90
Early signal: Career
18
Content trails
72
AI Resilience
↑ 15
Influence moved
Network
71
Engagement
51
Credibility
80
Outreach
64
Content
18
Career
90
Learning
85
Influence
88
How RankedIn scores these dimensions →

You know the benchmark. Where do you stand?

Compare your profile with this benchmark — see your LinkedIn Score, AI Resilience, and individual signals next to Account Management / Customer Success Professionals, including where you're strong, where you may be under-positioned, and what to improve next.

See Where I Stand →

Built from your actual LinkedIn data — not a questionnaire. Processed privately and never shared.

How does the comparison work? →
  1. Request your LinkedIn data export (LinkedIn → Settings → Data Privacy → Get a copy of your data)
  2. Upload the relevant files to RankedIn
  3. RankedIn analyzes the data
  4. See your personalized comparison and recommendations
About this benchmark(sample size, methodology)

A useful early benchmark signal — the sample is still building depth. Benchmarks publish only after meeting minimum data-quality and privacy thresholds — small or unverified samples are never shown as if they were reliable.

  • Based on 10 benchmark-eligible Account Management / Customer Success professionals
  • Benchmark values use the median score across eligible profiles
  • Typical benchmark range: 64–69
  • Population: Working professionals
  • Maturity: Directional
  • Last updated August 24, 2026 · refreshed weekly
  • Methodology version v1
  • Sample size increased from 8 to 10.
View full methodology →

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