Reshare with a sharp take
Reshare a peer's post and add a specific, original perspective. Reaches two audiences simultaneously and builds network goodwill. Only works when your perspective genuinely extends, challenges, or adds new evidence to the original - pure agreement has no algorithmic or pipeline value.
When to use this template
When a peer, prospect, or industry voice publishes something you have a genuine, specific take on. The take must add original signal - your own data, a client example, a corollary observation. Never reshare just to associate with someone's reach. Never reshare without at least 3 sentences of original value.
The template
{name_tagged} said something that stopped my scroll.
"{exact_quote_from_their_post}"
My take: {your_perspective_agree_extend_or_respectfully_challenge}.
{supporting_evidence_from_your_own_experience_or_data}.
{closing_question_that_draws_both_audiences_in}.Variables
- {name_tagged}
- Tag the original poster with @. This notifies them - most will engage, which extends reach to their audience. Only reshare from people your ICP follows or respects.
- {exact_quote_from_their_post}
- The most provocative single sentence from their post. The quote is the hook for their audience. If their audience has already seen the post, the quote reminds them of why they engaged with it.
- {your_perspective}
- Three options: Agree and extend (add a corollary), agree and add data (validate with evidence), or respectfully challenge (name the condition under which they're wrong). All three are valid. Generic agreement ('great point') is not a take.
- {supporting_evidence}
- 1–2 sentences from your own experience or data that add original signal. This is what transforms a reshare from amplification into original content.
- {closing_question}
- A question that invites both audiences to engage. Should connect to both the original post and your extension. Avoid 'what do you think?' - too generic. 'What's your experience with this - does it hold in your market?' is more specific.
Worked example
@Sarah Chen said something that stopped my scroll. "Most LinkedIn strategies optimise for reach but ignore the audience quality problem entirely." My take: Correct - and the corollary is even more uncomfortable. High reach + wrong ICP doesn't just fail to convert. It actively degrades future reach by training the algorithm against you. Every engagement signal from the wrong audience tells LinkedIn's ranking system to show your content to more of those people. We see this pattern clearly in our data: accounts that chase viral reach from outside their ICP consistently see 0.1–0.4% pipeline conversion. Accounts that resist and post for their 200 ideal clients close at 1.8–3.2%. What's your experience - do you see engagement from outside your ICP affecting who LinkedIn shows your content to over time?
How to use it
- 1
Only reshare posts from people your ICP follows
The reshare reaches both your audience and theirs. Choose original posters whose audience overlaps with your ICP. Resharing a viral post from someone your ICP has never heard of produces reach but not the right reach.
- 2
Quote the most provocative line, not the summary
The quote is the hook for their audience. Pick the line that demands a reaction - the line that made you stop scrolling. The more specific and controversial the quoted line, the more their audience will engage with your take.
- 3
Add data or a client example, not just an opinion
Your take needs to add new information. 'We see this pattern clearly in our data: 0.1–0.4% vs 1.8–3.2%' adds evidence. 'I totally agree and see this too' adds nothing.
- 4
Tag the original poster and DM them the link
Tag them in the post so they get the notification. Optionally DM them the link directly: 'Extended your take on audience quality - thought you'd want to see it.' Most will like it, some will comment, a few will reshare. All three expand your reach to their audience.
Related templates
- Hot take / contrarian post (Pillar 1 + high comment volume) →Stake out a strong, defensible, unpopular position with evidence. Highest comment-to-impression ratio of any format. Comments are weighted 15x more than likes in LinkedIn's algorithm - one well-constructed hot take can outperform 5 engagement-optimised posts.
- Comment prompt - self-identification post →Post that directly requests a specific type of comment with a concrete scaffold. Generates 3–10× more comments than a standard post when the prompt is specific. The best comment prompts make every commenter give you a qualified data point AND self-identify as a warm lead.
- Poll post with a committed follow-up →LinkedIn poll drives comment volume and impressions fast. Best used as a data collection mechanism for a follow-up post. The follow-up post gets 2–3× more reach than the poll itself - the poll is the setup, not the content.
More engagement templates
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