The most common reason TLAs underperform has nothing to do with budget, targeting, or bid strategy. It’s the post itself. Specifically: it reads like an ad. The moment a reader senses they’re being sold to – even subconsciously – they scroll. I’ve analyzed 119 Thought Leader Ads from our 2026 LinkedIn ABM Benchmarks Report – covering over $300K in ad spend across multiple B2B accounts – and the single biggest driver of TLA performance has nothing to do with targeting, budget, or bid strategy. It’s the writing. Specifically: whether the post sounds like a real person thinking, or a marketer performing. In this guide I’ll share exactly what separates the top 25% of TLAs from the rest, including the hook formulas, content structures, and formatting rules that consistently drive clicks and pipeline. I’ll also walk through how Valueships got their TLAs working within the first week of their LinkedIn ABM campaign and why most teams are leaving significant pipeline on the table by promoting the wrong content. What you’ll learn:

• The five hook patterns that drive the most clicks to LinkedIn page
• which content formats outperform
• Valueships case study
• the RPCD framework for structuring your TLA programme
• what consistently kills TLA performance
• and how to measure what’s actually working beyond the misleading CTR number LinkedIn shows you.

How to write top performing TLAs – a summary:

• TLAs fail when they sound like ads – write like a real person, in your personal tone of voice 
• The goal is value first, clicks second (not selling)
• The first 2–3 lines decide everything (optimize for “see more”)
• Use strong hooks: contrarian, results, personal story, shared pain, assumption challenge
• Always include specific numbers or details
• Write in first-person (“I”) –
• Optimize for ICP relevance – write and publish from the perspective & profiles of your ICPs (read more how to get your ICPs to produce more TLAs for you here)
• Focus on mistakes, struggles, or insights –  or wins – but make it actionable, not just a brag
• Be specific, not vague (no generic “teams struggle with…”)
• Keep paragraphs 1–3 short sentences max
• Build tension first → then deliver insights (don’t start with lists)
• Use clear structure or named frameworks
• Add one soft CTA (no hard selling)
• Place the link naturally in the post (ideally near the end)
• Avoid corporate tone, AI language, hashtags, feature lists
• Read this Valueships TLAs case study for inspiration

👉 We front-loaded all these best practices into our FREE Linkedin Thought Leader Ads generator

Why Writing Thought Leader Ads Is Different from Any Other Ad Format

A Thought Leader Ad appears in the LinkedIn feed under a real person’s name and photo. To the reader it looks like an organic post from someone they follow. That context is a huge advantage – but a hard task. The upside – People engage with personal content at a much higher rate than brand content. Our Linkedin ABM benchmarks report (based on 211 companies) shows TLAs deliver a 2.68% median CTR and a median CPC of $2.29 – compared to 0.42% CTR and $13.23 CPC for single image ads. That’s 77% cheaper per click for the same outcome. Now for the hard part: the moment the post sounds like marketing copy – corporate tone, feature lists, a hard sell CTA – the trust instantly disappears. The reader realises they’re being sold to – and they lose interest. The goal of a TLA is not to sell directly. It’s to be so useful, honest, valuable, funny or interesting that the reader wants to know more. The click is a byproduct of giving that genuine value – not a response to a call to action. As Gabriel Ehrlich, founder of Remotion (one of the top LinkedIn ads agencies, with clients including Monday.com and Gong), put it in our ABM Bootcamp session: “The whole post smells of AI – the em dashes, the vocabulary – it’s all AI. We make ads sound like humans, not AI slop.” Before anything else: stop using the CTR number LinkedIn shows you in the Campaign Manager Performance tab. That number includes likes, comments, shares, “see more” clicks, and profile visits. A TLA showing 17% CTR in the Performance tab might have zero actual landing page clicks (!!!)  To find the real metric: go to the campaign, click the ad, open the Engagement tab (not Performance), and look at Clicks to Landing Page divided by impressions. That’s the number that tells you whether the writing is working.

The RPCD Framework for Writing Thought Leader Ads That Convert

Tim Davidson, Linkedin Ads expert who has run TLA campaigns for ABM across dozens of B2B clients, breaks every high-performing TLA programme into three components: Right Person, Right Content, Right Distribution. Most teams get the distribution right and completely ignore the first two. Here’s how each works.

Right Person: Who Should Be Writing Your TLAs

The author matters because LinkedIn users see the post as coming from that individual – their face, their name, their credibility. The wrong author creates friction before the reader has even processed the first sentence. In order of effectiveness:

1. A ICP-match – their peer. If you’re selling to marketing leaders, a marketing leader on your team should post. Selling to finance teams, get someone from a finance background to post. Match the thought leader to the target persona. A product manager posting about product challenges will outperform a CEO posting about revenue when targeting product managers. The “someone like me is saying this” dynamic reduces scepticism before the content is even read:

2. Founder or CEO. Founder-led content outperforms all other sources consistently. Buyers trust that founders have earned the right to strong opinions about the problems their company solves. The credibility is front-loaded. 3. Any executive who posts consistently. Consistency beats title. An engaged VP who posts regularly is more valuable than a CMO who needs chasing for every post. 4. Influencers & customers. External influencers with established authority in your target audience often outperform internal ones for specific audiences. And happy customers are the most credible TLA source for late-stage buyers. Tim Davidson has found that approximately 99% of customers say yes when asked to post. Influencers in your space can be paid to post (as a sponsored post) and then promoted as a TLA – their followers see it organically while your ICP accounts see it as an ad. You can do it e.g. through your own customer advocacy program or Linkedin Partnerships tab: LinkedIn’s Partnerships tab shows everyone who has tagged your brand organically, which is a direct pipeline of TLA candidates. 5. Anyone who will actually do it. Beats nothing 🤷‍♀️ Who not to use: sales reps (unless you’re selling to sales reps, of course 😉). The context of their role colours how the content is received even when the content itself is good.

Right Content: What to Actually Write

The most common objection I hear: “But the post only got 3 likes organically. It won’t work as an ad.” This confuses two completely different things. Organic performance depends on your existing follower base, how the algorithm distributes content, and whether the post triggered early engagement in the first hours. TLA performance depends on how relevant the content is to the specific audience you’re targeting. The same post that flopped organically can perform exceptionally as a TLA because you’re now putting it in front of exactly the people it was written for – not your general follower mix. Tim’s clearest example: a post about making a specific B2B marketing mistake got 5 organic likes. As a TLA targeting exactly the persona the post referenced, it drove 3 demo requests in the first week. The three qualities shared by almost every top-performing TLA I’ve analyzed: personal, specific, and honest about failure or challenge. Content that fails tends to be corporate, vague, or focused on achievements rather than struggles. Our data from 119 TLAs shows that 65% of top performers use first-person “I” voice throughout:

Right Distribution: Getting the Campaign Setup Right

A few setup decisions have an outsized impact regardless of how good the writing is:

• Use the Engagement objective – not Brand Awareness. Philip Ilic analyzed 300K in TLA spend and found Engagement delivers landing page CPCs of around $4.80 vs. $7.90-$12+ for Brand Awareness – up to 2x more efficient.
• Put the link in the post body. Not just at the end as a CTA – somewhere in the natural flow of the text. Tim Davidson found that one client went from 1 demo per month to 6 by simply adding a CTA link inside their TLA posts. That was the only change made.
• Post organically first, then promote. Let the post run for 2-3 days to gather early engagement signal. Then edit to add the CTA link and switch it on as a paid TLA. 75% of top-performing TLAs place their link in the bottom 25% of the text.
• Test the same content from multiple authors. Different faces resonate with different audience segments. Run the same post from two or three different people and let performance data tell you who to invest in further.

How to Write a Thought Leader Ad Hook That Gets the Click

The first 2-3 lines are the only thing 90% of your audience will ever read. They determine whether someone clicks “see more” – which is the first micro-conversion before they ever click to your LinkedIn page or landing page. Everything else in the post is written for the people who clear that first hurdle. I’ve generated this “model TLA” based on all the best practices I noticed in our 2026 LinkedIn ABM Ads benchmarks report: From analyzing the top-performing TLAs in our dataset, five hook patterns consistently drive the most Clicks to LinkedIn Page:

1. Challenge a widely-held assumption

Open with something the reader already believes – then immediately complicate it. This creates cognitive tension that demands resolution. Example: “It’s tempting to believe there’s a single source of truth for understanding your users.” The reader nods, then reads on to find out what’s missing from their current view. Better still – use humour to laugh out (can you even say that? 😅) the problem you’re trying to contest.

2. Bold contrarian statement

Take a clear position that’s mildly provocative without being clickbait. The reader has to find out if they agree or disagree – both responses pull them in. Example: “No one has ever bought software because you used their logo on a landing page.” Don’t hedge. A hedged contrarian take doesn’t work.

3. Results-first with specific numbers

Lead with the data before you explain anything. Forces the reader to ask “how?” Example: “[UPDATE: $801,000 pipeline, $189k revenue, 4.5 months in]” – this was one of our highest-performing TLAs across all accounts in the dataset. Specificity is what earns the click. “Good results” earns nothing.

4. Personal story with credible, specific details

The specificity – “5 years”, “three times”, “in Q3 specifically” – makes it feel real rather than manufactured. Generic admissions of failure don’t land. Specific ones do. Example: “I spent 5 years on the customer side before joining this team. Here’s what I wish I’d known.”

5. Shared-pain opener

Signals “I know your world” before the reader has read a full sentence. Immediately establishes that this is written for them. Example: “Every CFO I talk to in this space says the same thing:” – the reader in that role thinks “that’s me” and reads on. Hooks to avoid: generic openers like “In today’s fast-paced world…” (= AI slop laughing stock), opening with your product or company name, and starting with a question (questions consistently underperform statements in the TLA dataset).

Formatting Rules That Top-Performing Thought Leader Ads Share

Once the hook has landed, the formatting of the body determines whether the reader stays with you long enough to hit the CTA.

Keep paragraphs to 1-3 sentences maximum

This is non-negotiable on mobile. LinkedIn truncates long blocks of text. White space signals “this is worth reading.” Like this 😉 The top-performing TLAs in our dataset use single-sentence paragraphs at key moments for emphasis. A wall of text is a skip on any screen.

Use lists – but not as the opener

Lists work great to summarize  insights – but don’t open with a list. Build tension first, then deliver the framework or step-by-step breakdown as the resolution. A bulleted list at the start signals “this is a generic tips post” – the reader has seen it a thousand times and scrolls.

Use contrast deliberately

The old broken way vs. the better way is one of the most reliable structures in TLA content. Make sure you can clearly articulate both sides – if you can’t, the post isn’t ready yet. The contrast format works because it validates the reader’s current pain before offering the resolution. In a TLA context – where the post appears as a personal share – a hard sell CTA breaks the frame and destroys the trust built by the content. Use pull CTAs that respect the reader’s autonomy.

No hashtags, no em dashes, no AI vocabulary

Gabriel Ehrlich is direct about this: “Don’t use hashtags in TLAs. We pay to reach the right people – hashtags are unnecessary if your targeting is set up correctly.” The same applies to AI-generated vocabulary and formatting patterns (em dashes, symmetrical bullet structures, words like “delve” and “leverage”). Read the post aloud. If it sounds like a press release, rewrite it.

The 5 Thought Leader Ad Content Formats That Consistently Outperform

1. The What/Why/How post. Hook with what most people do or believe. Explain why it fails using specific, relatable examples. Deliver a numbered framework for how to do it better. Close with a soft link. Best for evergreen topics where the reader has lived the frustration you describe. The framework gives them something immediately usable, which is why they click through for more. 2. The Honest Results post. Share real numbers – including the uncomfortable ones. The highest-performing post in our entire dataset was an update post: specific pipeline figure, revenue number, timeframe, and an honest admission that something went wrong mid-campaign (“mistakes – scratch that: learnings”). The vulnerability is what makes people trust the numbers. Polished results posts don’t get shared. Honest ones do. 3. The “I Made This Mistake” post. Outperforms self-congratulatory content consistently. The reader recognises themselves in your mistake. The solution becomes a natural resolution rather than a pitch. Structure: describe the mistake in specific terms – show you understood why it was a mistake – show the turning point – show the result with a number. 4. The Contrarian Take. Pick a widely-held belief or common tactic in your space and argue it’s wrong or overrated. Back it up with a specific observation – not just an opinion. This format generates comments from people who disagree, which LinkedIn rewards with more organic reach. The rule: take a clear side. Hedged contrarianism doesn’t work. As one of our top-performing posts put it: “ABM personalization AT SCALE is an oxymoron.” 5. The Framework post. Present a way of thinking about a common problem as a named mental model or process. Give it a name – “the product adoption loop”, “the Analyse – Prioritise – Launch cycle”, “the RPCD framework.” Named frameworks spread because they give the reader something to repeat in their own conversations. If they’re quoting your framework in internal meetings, they’re already halfway through the buying process.

What Consistently Kills Thought Leader Ad Performance

Real-World Results: What Good TLA Writing Looks Like in Practice

Valueships, a B2B services company running LinkedIn ABM campaigns through ZenABM, saw their TLAs smashing all other ad formats in terms of cost efficieccy and number of landing page visits, and generting 12 meetings within the first week of their campaign – and one closed won deal within three 🤯. The posts that performed were personal narratives from the founder addressing a specific operational pain point – written in the exact voice the target persona would recognise as their own. In our own ZenABM campaigns, the highest-performing TLA across the entire dataset started with an update sharing real numbers: $650,000 in pipeline and $12 in pipe per $ spent in revenue 3 months in: That post combined the honest results format with a visible admission that the cost per pipeline dollar had declined due to mistakes made. The transparency was the mechanism – not the pipeline number alone. From the broader benchmarks dataset: across 119 TLAs and $300K+ in spend, the top 25% of ads by Clicks to LinkedIn Page share four traits: a hook that creates tension in the first line, at least one specific number or data point, a named framework or clear structure in the body, and a pull CTA that earns the click rather than demanding it. You can download the full breakdown in our 2026 LinkedIn ABM Benchmarks Report.

Budget and Metrics: What to Track Beyond the Misleading CTR

TLAs are the most cost-efficient format in the LinkedIn ads stack. Based on our 2026 benchmarks data: TLAs deliver clicks at 77% lower cost than single image ads. This makes them the right format to start with when testing messaging or warming up a new target account list. Budget minimums: Below $2,000-$3,000/month it’s difficult to see statistically meaningful results. Gabriel Ehrlich’s red flag benchmark: if you’ve spent $3,500 with zero gated content leads, something is structurally wrong – the content, the offer, or the targeting. Attribution stack that actually works:

1. UTMs on every TLA link – non-negotiable baseline.
2. Self-reported attribution – an open text field on your demo or signup form asking “How did you hear about us?” Not a dropdown. Open text produces answers like “saw the founder’s post about [specific topic]” which tells you exactly which TLA content is driving intent. Dropdowns bias toward “LinkedIn” as a catch-all and lose the signal.
3. LinkedIn Conversion API (CAPI) – passes conversion data server-side, bypassing ad blockers. More complete than pixel-only tracking.
4. View-through attribution – a significant portion of TLA value sits in accounts that saw the ad but didn’t click, then converted later through search or direct. Standard last-touch attribution gives TLAs zero credit for this. ZenABM tracks this at the company level, so you can see which target accounts your TLAs are warming up before they ever convert.

Key Takeaways

1. TLA performance is driven by writing quality – not targeting or budget. The post must sound like a person, not a marketer.
2. Ignore the Performance tab CTR. Use Clicks to Landing Page from the Engagement tab – that’s the real metric.
3. Organic performance is not a proxy for TLA performance. A post that got 5 likes organically can drive 3 demos in a week when targeted correctly.
4. The hook is everything. The five patterns that work: challenge an assumption, contrarian statement, results-first, personal narrative with a specific detail, shared-pain opener.
5. 65% of top-performing TLAs use first-person “I” voice and 75% place the CTA link in the bottom 25% of the post.
6. Use the Engagement objective – it delivers CPCs up to 2x cheaper than Brand Awareness for landing page traffic.
7. Add the link in the post body – not just at the end. One change, 6x more demos per month.
8. Track pipeline influence, not just clicks. Use company-level engagement data to see which accounts your TLAs are warming up and connect that to revenue attribution.

FAQs

What makes a Thought Leader Ad perform well on LinkedIn?

The three most important factors are: a hook that creates tension or makes a bold, specific claim in the first 1-2 lines; a body that’s personal, specific, and honest about failure or challenge; and a pull CTA (not a hard sell) with a link placed in the body of the post. Based on our analysis of 119 TLAs, 65% of top performers use first-person “I” voice and lead with a hook that challenges an assumption or opens a real story.

How long should a Thought Leader Ad be?

Between 150-400 words of post body text tends to outperform in our dataset. More important than length is density – every sentence should advance the argument or add a specific detail. Padding kills performance. The test: could you delete any sentence without losing meaning? If yes, cut it.

Should I promote my best organic posts as TLAs?

Not necessarily. Organic performance depends on your follower base and the algorithm. TLA performance depends on targeting relevance. The post that got 5 organic likes and drove 3 demos as a TLA is a real example – not an edge case. Evaluate posts on whether they address a specific ICP pain point, not on their like count.

What CTR should I expect from LinkedIn Thought Leader Ads?

From our 2026 LinkedIn ABM Benchmarks Report, the median CTR for TLAs is 2.68% – more than 6x higher than single image ads at 0.42%. But ignore the CTR number LinkedIn shows you in the Performance tab – it includes social actions. Use Clicks to Landing Page from the Engagement tab divided by impressions for the real figure.

How do I know if my Thought Leader Ads are actually influencing pipeline?

Last-click attribution significantly undervalues TLAs because most buyers see the ad, don’t click, and convert later through a different channel. The most complete approach: UTMs on every link, an open-text self-reported attribution field on your forms, LinkedIn CAPI for aggregate conversion data, and a tool like ZenABM to track which target accounts are engaging with your TLAs at the company level and how that engagement correlates to pipeline over time.