A source-attributed benchmark and a practical workflow for turning resource requests into relevant business conversations. Prepared for Alexandr Pokalo’s LinkedIn lead magnet post, September 2026.
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MagicPost reports these medians from its classified LinkedIn corpus:
| Category | Posts | Engagement rate | Comments |
|---|---|---|---|
| Comment-gated lead magnets | 11,530 | 0.40% | 17 |
| Value-first selling | 57,659 | 0.33% | 11 |
| All posts | 1,141,932 | 0.39% | Not supplied |
Its engagement rate is likes plus comments divided by follower count—not impressions. The reported period is the preceding 12 months; deleted, excluded and reshared posts are filtered. Categories are observational, not randomized, and creator intent is a stated confounder.
This is a breakdown of MagicPost’s published analysis, not our independent reanalysis of its raw data. More comments do not establish more qualified leads or revenue. The 0.40% versus 0.39% comparison is a 0.01 percentage-point difference, not evidence of a guaranteed reach advantage. No customer-conversion benchmark is supplied.
Read the original analysis and methodology. The worksheets and operating examples below are our own practical system; illustrative numbers are not campaign results.
Goal: Attract people who have a reason to use your expertise, not everyone who likes free files.
Action: Choose one recurring decision from recent customer conversations. Write down who makes it, when it arises, what goes wrong and what a useful first answer looks like. Confirm it against actual notes before building a resource.
Tool/resource: A problem-selection worksheet:
| Field | Illustrative B2B example |
|---|---|
| Person | Head of growth at an early-stage app |
| Trigger | A new creator program is about to launch |
| Decision | Which creative briefs should receive the first budget? |
| Current failure | Every brief is approved on personal taste |
| Useful artifact | A scored brief review with rejection criteria |
| Natural paid adjacency | Help designing and running the creator program |
Expected output: One sentence: “This helps a specific person make a specific decision at a specific moment.”
Common mistake: Starting with a trending tool name and inventing the audience afterward.
Goal: Give the recipient something they can use during the next work session.
Action: Choose the smallest format that completes the job: an editable checklist, filled example, decision sheet or repeatable workflow. Add instructions, a worked example and explicit boundaries. Test it on a colleague who did not write it.
Tool/resource: The following acceptance test: