LinkedIn Age Estimation

Know the age behind every profile

Estimate anyone's age from their LinkedIn data. Graduation dates, career timelines, experience patterns. One API call, one confidence score.

SM
Sarah Martinez
VP of Engineering at Dataflow
Estimated Age
34
Range: 32-36
Confidence
92%
High (3 signals)
How it works

Three signals. One answer.

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Education Dates

Graduation year is the strongest signal. A 2012 bachelor's degree means roughly 32 years old. When present, accuracy jumps to 95%+.

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Career Timeline

First job start date, career length, and role progression patterns all triangulate age. Even without education data, work history tells a story.

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Confidence Scoring

Every estimate comes with a confidence score. More data points mean higher confidence. You always know how much to trust the result.

The missing column in your CRM

Sales Teams

Generational messaging

Tailor your outreach to match how different age groups communicate. Gen Z prospects want different things than Gen X decision makers.

Recruiters

Experience calibration

Quickly gauge whether a candidate's seniority matches the role level. Estimate career stage without asking awkward questions.

Marketers

Demographic segmentation

Build age-segmented audiences for LinkedIn ad campaigns. Target the right generation with the right message at scale.

Data Teams

Enrichment pipelines

Plug into Clay, Apollo, or your custom pipeline. Add age estimation to every lead record automatically via API.

Every enrichment tool gives you title, company, email. None give you age.

AgeLens fills the gap. One API call. Milliseconds. The demographic data point that B2B has been missing.