Real before / after rewrites

5 LinkedIn profiles, rewritten for recruiter search

Anonymized real profiles, before and after a Standout audit. See the exact headline and About rewrite — and precisely why each version lands in more recruiter searches.

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Recruiters don't scroll — they search. LinkedIn Recruiter runs boolean keyword searches, and a profile only appears if it carries the exact role titles, skills, and tools they filter on. Below are five real profiles (details anonymized) alongside their rewrite. For each, we show the honest 0–100 visibility score before and after, the headline and About rewrite, and a plain-English breakdown of why the new version gets surfaced more often.

Example 1

Backend Software Engineer

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Target: Senior Backend Engineer · Platform / Distributed Systems

Headline

Before

Software Engineer at a fintech startup | Coffee lover ☕ | Opinions my own

After

Senior Backend Engineer — Go, Python & AWS | Distributed Systems, Payments Infrastructure & API Design | Scaling high-throughput services

About section

Before

I'm a passionate software engineer who loves solving problems and building cool things. I've worked on a bunch of projects and I'm always learning new technologies. In my spare time I enjoy hiking and coffee.

After

Backend engineer with 6 years building high-throughput payments and platform services in Go and Python on AWS. I design distributed systems that stay fast and correct under load — event-driven pipelines, idempotent APIs, and observability that catches issues before customers do. Recently led a service migration that cut p99 latency 40% and halved on-call pages. I'm looking for a senior backend or platform role where reliability at scale is the point, not an afterthought.

Why it lands more recruiter searches

  • Adds the exact keywords recruiters filter on — 'Senior Backend Engineer', 'Distributed Systems', 'Go', 'Python', 'AWS' — none of which appeared before.
  • Replaces a vague 'passionate engineer' About with the seniority signal and stack a boolean recruiter search actually matches.
  • Names a quantified outcome (p99 latency −40%), which recruiters screen for when shortlisting from search results.

Example 2

Product Manager

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Target: Senior Product Manager · B2B SaaS / Growth

Headline

Before

Product Manager | Helping teams build great products

After

Senior Product Manager, B2B SaaS | Growth, Activation & Retention | Roadmap, Experimentation & Data-Driven Discovery

About section

Before

Product Manager with a passion for user experience. I work cross-functionally with engineering and design to ship products customers love. Always focused on the customer.

After

B2B SaaS product manager focused on growth — activation, onboarding, and retention. Over 5 years I've owned roadmaps for self-serve and sales-assisted motions, run 100+ experiments, and turned discovery interviews into shipped bets. Recent wins: lifted new-user activation 27% and cut time-to-value from 9 days to 3. I pair quantitative rigor (funnels, cohort analysis, A/B testing) with real customer conversations. Looking for a senior PM role owning a growth or activation surface.

Why it lands more recruiter searches

  • Surfaces for 'Senior Product Manager', 'B2B SaaS', 'Growth' and 'Retention' searches — the terms recruiters actually type — instead of only 'Product Manager'.
  • Turns a generic 'passion for UX' line into concrete owned surfaces (activation, onboarding, retention) that map to open-role requirements.
  • Quantified activation lift (+27%) gives a recruiter a reason to click through from a crowded results page.

Example 3

Marketing Manager

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Target: Growth Marketing Manager · Demand Gen / Performance

Headline

Before

Marketing Manager | Storyteller | Brand enthusiast

After

Growth Marketing Manager | Demand Generation, Paid Acquisition & Lifecycle | SEO, Marketing Automation (HubSpot) & CRO

About section

Before

Creative marketer who loves telling brand stories and connecting with audiences. Experienced across channels and always chasing the next big idea.

After

Growth marketer who runs demand generation end to end: paid acquisition, SEO, lifecycle, and conversion-rate optimization. Over 7 years I've managed six-figure ad budgets across Google and Meta, built HubSpot automation that doubled MQL-to-SQL conversion, and grew organic traffic 3x in a year. I'm equally comfortable in a spreadsheet modeling CAC payback and in the copy doc. Seeking a growth or demand-gen marketing role where pipeline is the scoreboard.

Why it lands more recruiter searches

  • Injects the hard-skill keywords recruiters filter demand-gen roles on — 'Demand Generation', 'Paid Acquisition', 'SEO', 'HubSpot', 'CRO' — replacing soft words like 'storyteller'.
  • Signals budget scale ('six-figure ad budgets') and tooling, which recruiters use to gauge seniority from search snippets.
  • Ties results to pipeline metrics (CAC, MQL-to-SQL) that match the language in growth-marketing job descriptions.

Example 4

Data Analyst

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Target: Data Scientist / Senior Analyst · Analytics

Headline

Before

Data Analyst | Excel wizard | Turning numbers into insights

After

Data Scientist & Senior Analyst | SQL, Python & dbt | Predictive Modeling, Experimentation & Dashboards (Tableau, Looker)

About section

Before

Detail-oriented data analyst who loves working with numbers and finding insights. Proficient in Excel and always curious about what the data is saying.

After

Analytics professional bridging analyst and data-science work: SQL and Python for modeling, dbt for clean pipelines, and Tableau/Looker for decisions leaders act on. Over 5 years I've built churn-prediction models that flagged at-risk accounts 60 days early, stood up experimentation frameworks, and replaced manual reporting with self-serve dashboards. I care about the decision the number drives, not just the number. Looking for a data scientist or senior analytics role on a team that ships models to production.

Why it lands more recruiter searches

  • Adds the modern data-stack keywords recruiters search — 'SQL', 'Python', 'dbt', 'Tableau', 'Looker', 'Predictive Modeling' — where the old headline had only 'Excel'.
  • Repositions from 'Data Analyst' toward 'Data Scientist / Senior Analyst', matching the higher-level searches this candidate wanted to appear in.
  • Concrete model impact (flagging churn 60 days early) reads as production experience, which analytics recruiters shortlist on.

Example 5

Account Executive

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Target: Senior Account Executive · B2B SaaS Sales

Headline

Before

Account Executive | Hunter | Let's connect!

After

Senior Account Executive, B2B SaaS | Net-New Logo & Expansion | MEDDICC, Enterprise Sales & 120%+ Quota Attainment

About section

Before

Results-driven account executive with a hunter mentality. I love building relationships and closing deals. Let's connect and grow together!

After

Enterprise SaaS account executive closing net-new logos and expansion across mid-market and enterprise. Over 6 years I've carried and beaten quota (120%+ three years running), run full-cycle deals using MEDDICC, and closed six-figure ACV contracts with multi-stakeholder buying committees. I build champions, forecast honestly, and shorten sales cycles by qualifying hard early. Seeking a senior AE seat selling a product with real product-market fit into enterprise.

Why it lands more recruiter searches

  • Loads the headline with the terms sales recruiters boolean-search — 'Senior Account Executive', 'B2B SaaS', 'MEDDICC', 'Enterprise Sales' — instead of the filler 'Hunter | Let's connect'.
  • Puts quantified quota attainment (120%+) and deal size (six-figure ACV) where a recruiter sees them first — the single strongest sales signal.
  • Names the sales methodology (MEDDICC) recruiters explicitly require in enterprise AE roles, so the profile matches those filtered searches.

See your own before / after

Paste your LinkedIn URL for an instant, honest 0–100 visibility score and a free keyword-optimized headline rewrite. The full audit — About and top 3 experience bullets — is a one-time $1.

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