avery

How Avery Scores Student LinkedIn Profiles (70-80 Is the Goal)

If you are a student or recent graduate who ran a LinkedIn audit and got a score in the 60s or low 70s, you may wonder whether that is good. It is, and the reason is in how Avery scores students. Student profiles are not scored like professional profiles. The weights are different, the floors are different, and the target is different. This post explains the method in full, shows the arithmetic, and ranks the fixes by how many points they actually add, so you can spend your first hour on the things that matter.

A note on what this post is: it is a methodology post. It explains how the scoring works and uses worked examples built to show the math. The examples are illustrative, not statistics about students.

Why students get their own scoring mode

A professional with ten years of experience is judged on the evidence of their work: outcome bullets, recommendations, a record of content. A student does not have that evidence yet, and no recruiter expects it. What a recruiter hiring for internships or entry-level roles looks for is direction and potential. Can I tell in a few seconds what this person wants to do? Do they look credible? Do they have the skills the role needs? Scoring a student on professional benchmarks would produce low numbers for reasons that do not matter to the people reading the profile.

So Avery's student mode rebalances the four pillars toward what students can control and what recruiters weigh.

The weights: where the points live

Here is how the four pillars compare between student mode and the standard job search mode for working professionals.

  • First Impression: 40 percent for students, 35 percent for professionals in job search mode.
  • Story: 40 percent for students, 30 percent for professionals.
  • Proof: 12 percent for students, 10 percent for professionals in job search mode.
  • Visibility: 8 percent for students, 25 percent for professionals in job search mode.

The biggest change is Visibility, which drops from 25 percent to 8 percent. A working professional is expected to be visible in a network that can refer them. A student is not expected to have a network or a posting record, and penalizing that would be unfair and unhelpful. First Impression and Story together are 80 percent of the score, and they are also the two pillars a student can fix in one sitting. That is deliberate. The design principle is that a student who does the basics well should feel accomplished.

For background on how the pillars work for professionals, see why First Impression is 35 percent of your LinkedIn score and why Visibility is weighted the way it is.

Inside each pillar

First Impression (40 percent)

Photo is 40 percent of the pillar, headline is 45 percent, Open to Work is 10 percent, and banner is 5 percent. The headline thresholds are specific. A headline with a target direction, a skill or interest, the school, and the graduation year earns a 9 or 10. A major plus school with no direction earns a 7 or 8. A headline that only says "Student at [University]" earns a 5. A default or empty headline earns 3 or lower.

Open to Work is neutral for students. If you have not set it, you get a 5, not a penalty. If it is visible or set for recruiters only, you score higher. The banner is extra credit only, with a floor of 5, so it can only help you.

Story (40 percent)

About is 35 percent, work experience is 30 percent, education is 25 percent, and skills are 10 percent. Education carries real weight here, which is the opposite of how it works for a mid-career professional, where it is a bonus. For a student, the education section is the anchor: school, degree, graduation date, and enrichments such as coursework, activities, study abroad, honors, and scholarships. Work experience includes internships, campus jobs, clubs, volunteer work, and projects, because those are the experience a student has.

Proof (12 percent)

Featured is 35 percent, recommendations are 30 percent, and top skills are 35 percent. Floors apply: Featured never scores below 4 and recommendations never score below 5, because having none is normal for students. Proof is bonus territory. Adding a polished project or a single recommendation produces a visible jump.

Visibility (8 percent)

Content frequency is 30 percent, engagement is 20 percent, and network size is 50 percent. Zero activity floors at 4. Network size is graded against student norms, not professional ones: 200 or more connections earns a 9 or 10, 100 to 199 earns a 7 or 8, 50 to 99 earns a 5 or 6, and under 50 earns a 4.

Points per fix: what each improvement is worth

Because each sub-component sits inside a pillar and each pillar has a weight, you can compute how many points on the 100-point overall score you gain for each point of improvement in a sub-component. Multiply the pillar weight by the sub-component weight, then by 10 to convert to the 100-point scale. Here is the result for every scored student sub-component.

  • Headline: 1.8 overall points per sub-component point.
  • Profile photo: 1.6.
  • About: 1.4.
  • Work experience: 1.2.
  • Education: 1.0.
  • Open to Work: 0.4.
  • Skills: 0.4.
  • Network size: 0.4.
  • Featured: 0.42.
  • Top skills: 0.42.
  • Recommendations: 0.36.
  • Banner: 0.2.
  • Content frequency: 0.24.
  • Engagement quality: 0.16.

Read that list as a priority order. One point on your headline is worth more than four points on your banner and nearly as much as four points on your network size. This is the single most useful fact in the model for a student with limited time: the headline, photo, and About section are the best use of your first hour, and the banner and engagement are not.

A worked example with the arithmetic

Take an illustrative profile, built for this post and not a real person: a senior business administration major with a professional headshot, a headline that reads "Student at [University]," a two-paragraph About section that names specific projects, an education section with honors and a scholarship, an internship and a campus job described with some detail, a few reposts, no Featured items, no recommendations, and about 85 connections.

Illustrative sub-component scores: photo 9, headline 5, banner 5, Open to Work 5; About 7.5, work experience 7, education 8, skills 7; Featured 4, recommendations 5, top skills 6; content frequency 6, engagement 6, network 6.

The pillar math follows the weights. First Impression is 9 times 0.40, plus 5 times 0.45, plus 5 times 0.05, plus 5 times 0.10, which is 6.6, or 66 on the 100-point scale. Story is 7.5 times 0.35, plus 7 times 0.30, plus 8 times 0.25, plus 7 times 0.10, which is 7.4, or 74. Proof is 5.0, or 50. Visibility is 6.0, or 60. The overall score is 66 times 0.40, plus 74 times 0.40, plus 50 times 0.12, plus 60 times 0.08, which is about 67. In the student scale that is a Strong Foundation.

Now apply a single fix: rewrite the headline from "Student at [University]" to a target direction, a skill, the school, and the year, for example "Aspiring Product Manager | UX Research and Data Analysis | [University] '27." The headline moves from 5 to 8. First Impression becomes 9 times 0.40, plus 8 times 0.45, plus 5 times 0.05, plus 5 times 0.10, which is 7.95, or about 79.5. The overall score becomes 79.5 times 0.40, plus 29.6, plus 6, plus 4.8, which is about 72. One five-minute fix adds roughly 5 points.

Next, turn on Open to Work for recruiters only, moving that sub-component from 5 to 9. That adds 4 times 0.4, or about 1.6 points. Then add one polished project to Featured, moving that from 4 to 8, which adds about 1.7 points. Three fixes bring this profile from about 67 to about 75, without a single post or new connection.

The score bands, and why 70 to 80 is the target

  • 80 to 100, Standout.
  • 65 to 79, Strong Foundation.
  • 50 to 64, Good Start.
  • 35 to 49, Common.
  • 0 to 34, Early Stage.

Avery's guidance to students is that the sweet spot is 70 to 80. Above 80, the returns diminish, because the remaining points come from things like posting cadence and growing a network past a few hundred connections, which do not change whether a recruiter shortlists you. A perfect 100 is not realistic and is not the goal. Below 65 usually means one or two low-effort fixes are missing, most often the headline and Open to Work.

This framing is also a judgment about where effort should go. A score is a diagnostic, not a prize. If you reach the mid-70s with a clear headline, a solid About section, and an education section that shows what you did, the profile is doing its job. The time you would spend chasing 90 is better spent on informational conversations and applications. See LinkedIn for recent graduates and LinkedIn for entry-level job seekers for those next steps.

What the score does not measure

An honest methodology post should say what the model leaves out. The score reflects what is visible on the profile. It does not measure grades, the strength of your school, your interview skills, or whether the roles you want are hiring. It cannot see Recruiter Only visibility settings from the outside, which is why Open to Work is treated as neutral. And it does not verify the claims you make. A profile that scores 78 is well constructed, which is not a promise of interviews.

The model is also a calibrated judgment, not a measured law. The thresholds reflect how Avery weighs the signals a recruiter sees in a few seconds. Supporting facts include LinkedIn's own figures that a professional photo is associated with substantially more profile views, and the NACE 2026 finding that about 70 percent of employers use skills-based hiring for entry-level roles, which is why the skills section matters even at 10 percent weight. Treat the weights as a considered position and the points-per-fix list as the practical takeaway.

A 45-minute student sprint, ordered by points per minute

  1. Headline (5 minutes). Target direction, one or two skills, school, graduation year. Highest value per minute in the model.
  2. Photo (10 minutes). If yours is a cropped group photo or a casual selfie, an AI headshot tool such as HeadshotPro or Aragon AI produces a professional image quickly.
  3. Open to Work (1 minute). Set it for recruiters only if you do not want it visible to everyone.
  4. About (15 minutes). Three or four short paragraphs: who you are, what you study and what excites you, what you have built, what you are looking for.
  5. Experience (10 minutes). Give each internship, club, campus job, or project an action verb, context, and a result, and add scope when you do not have revenue numbers.
  6. Skills (4 minutes). Add at least five specific, searchable skills and pin three that match your target.

After that, add a Featured item only if it is polished and relevant, and request one recommendation from a professor or supervisor. A mediocre project does more harm than an empty section. If you want the story pillar in more depth, read how Avery scores the Story pillar.

See your own numbers

The arithmetic above is the same arithmetic Avery runs on your real profile, with your actual headline, photo, and About section scored and a ranked list of fixes with the exact point impact of each. See Avery audit options.

Ready to put this into action?

Get a personalized LinkedIn audit from Avery — built on 12,000+ real coaching sessions.

Get My Audit