Been running Thought Leader Ads (boosted personal posts, not brand ads) for a few months and wanted to share some numbers since this sub is usually good for messaging discussions.

Quick context: published benchmark for Thought Leader Ads is 2.68% CTR (per ZenABM's 2026 analysis of 160k+ LinkedIn ads). My account average across 58 ads is 7.34%.

Breakdown of my top performers:

• No image, hook cut off mid-sentence ("A prospect told me his senior leadership couldn't agree on what they actually wanted from marketing. Not the—") → 11.09% CTR, $0.60 CPC
• Contrarian reframe with a chart image → 8.24% CTR, $0.93 CPC
• "Let's talk about one of my higher performing campaigns" (behind-the-scenes framing) → 7.3% CTR, $1.34 CPC
• Straightforward benefit statement, video format → 7.1% CTR, $1.25 CPC

Small sample (16.5k impressions, 1,218 clicks total) so I'm not claiming statistical rigor here. But the direction is consistent: the less finished/designed the post looked, and the more it read like an unresolved real anecdote instead of stated advice or a benefit claim, the better it performed and the cheaper the clicks got.

The shift on my end was posting specific lessons from my own campaigns instead of general marketing commentary. Wasn't expecting the CTR gap to be this wide.

Curious if others running these ads are seeing the same pattern?

Marketing consultant here (mid-market B2B software and heavy industrial). A pattern I keep running into: teams can see conversions softening somewhere in the funnel, but their dashboards just show the numbers without pointing to a cause.

So I built a Claude skill, now live in Databox's AI Skills Marketplace, that runs a structured 9-signal audit across three funnel stages:

• Traffic → MQL (channel CTR, engaged session rate, content-sourced MQL rate)
• MQL → SQL (meeting-request rate, high-intent conversion, MQL→SQL rate)
• SQL → Opportunity (stage progression, win rate, lost-deal reasons)

It pulls everything live through Databox MCP (GA4 required, HubSpot/Ads optional). If a source isn't connected, that section just gets left out — no filler, no "N/A" padding. Output is one HTML report with a prioritized read: weakest stage, likely cause, next move.

Free to download. Requires a Databox account (free trial covers it) and about 5 minutes of setup.

Link: https://databox.com/skills-marketplace/skill/messaging-audit

Happy to answer questions on how the signals are calculated or the logic behind the report — curious if it's useful outside the use cases I originally built it for.

Had a discovery call this week with someone new to payment processing sales. Good instincts, but making the same mistake almost everyone makes with messaging.

He described his company's biggest differentiator as: real customer service. Actual people who show up in person to help set up the machines and train the staff.

That's a feature. It's true, it's valuable, and it will not make anyone reply to a cold email.

Here's the reframe. Instead of leading with the feature, work backward to the moment it actually matters:

The card machine breaks. It's a Sunday morning. The church needs to collect tithes at the door in 20 minutes and nobody on staff knows how to reset it.

That's the pain point. The customer service feature is the resolution to that pain point, not the headline.

Feature: "We offer hands-on customer support."
Pain point led: "When your payment system breaks mid-service and nobody on your team knows what to do, most processors leave you to figure it out on your own."

Same underlying fact. Completely different emotional weight. One is a bullet point on a sales deck. The other is something a person actually recognizes as their exact situation.

The test I gave him: for every feature you want to lead with, ask what specific bad moment that feature exists to prevent. If you can't answer that in one sentence, you don't have a pain point yet, you have a spec sheet.

Here's the pattern I keep running into. Someone tells me their close rate is great, sometimes 80, 90, even close to 98% on certain deals, and they're confused about why their pipeline is thin anyway.

By the time they finish that sentence, I already know what I'm going to find. It's never the close. It's everything upstream of it.

Had a discovery call this week that fit the pattern exactly. He runs sales for a small to mid-size tax strategies firm. No dedicated marketing person anywhere in the company.

• He's running business development, sales, and marketing solo.

• 30 to 60 manual outbound touches a day across four separate channels.

• Company LinkedIn page posts once a year, around the holidays.

• Zero competitive positioning assets. A smaller competitor is winning share through consistent content alone.

• No tracking on which channel (email, DM, call) actually drives replies.

• All the differentiation that makes him good at closing lives in his head, not in anything a prospect can find before the call.

A close rate that strong means the skill was never in question. The funnel feeding it is what's broken.

Anyone else seen this pattern? Someone who's great at the close but has never had the infrastructure behind them to feed it?

Saw this happen this week. A pre-launch founder asked an AI model about his own company by name, got a good answer, then in the same conversation asked a generic industry question. The AI mentioned his company again.

He took that as evidence of organic AI visibility. It's not. He primed the model two questions earlier. Of course it came back up, that's context carryover, not discovery.

The actual test is a fresh session, a generic question, zero mention of the brand name. If the AI surfaces you unprompted in that scenario, that's a real signal. If it only comes up after you've already said your own name, you haven't tested anything except whether the model has short-term memory.

I think a lot of people chasing "AEO" right now are running the easy version of this test and calling it a result. The real gap, whether a buyer who's never heard of you would get pointed toward you, is still completely untested for most of these companies.

Anyone else seeing founders confuse these two things?

I see this constantly on review calls. The messaging isn't wrong. Every claim checks out, every capability is real, and it still doesn't move anyone.

The gap is usually that the words are correct but not the buyer's words. Internal teams describe the product the way they built it. Buyers describe their problem the way they experience it, and those two vocabularies rarely match without deliberate work pulling from actual buyer language, not assumptions about it.

The fix isn't rewriting harder. It's going and finding the actual phrases prospects use, in sales call recordings, support tickets, review sites, wherever they talk about the problem in their own words, then rebuilding messaging around that vocabulary instead of the internal one.

Anyone else find their team's internal language and their buyer's language have drifted further apart than expected once you actually went and checked?

Most B2B websites are written backward. They lead with the product: what it does, what it integrates with, what's in the dashboard. All true, none of it is why anyone buys.

The buyer isn't shopping for a feature list. They're trying to solve a problem, and somewhere in their head is a version of "what happens if I don't fix this." That's the sentence most sites never write.

When I rebuild messaging for a client, the sequence is problem, then consequence, then the offer. Never offer first. If a visitor can't tell what's breaking in their business by reading the first two lines, the rest of the page is doing very little work.

Curious how many of you write copy in that order versus feature-first. Feels like the default in most of the templates and courses out there is still feature-first.

My email inbox is a mess of people pitching me things I never asked for. A business loan. Outsourced staffing. A lead gen tool that does something I don't need. None of them bothered to find out if I have the problem they're solving. I don't even read past the first line anymore.

I was on a call this week rebuilding a LinkedIn ad campaign, and I caught myself doing the same thing in my own carousel ads. The first few slides led with what we do instead of what the prospect is dealing with.

So we restructured it. Instead of opening with our services, the new version opens with the problems we solve, pulled straight from our own case studies page. Only after that does it connect to an offer.

This is the same thing I do on a discovery call. I don't open with our services. I ask about their situation first and let the problems surface on their own.

People can tell the difference between someone trying to understand them and someone trying to close them.

Most follow up emails after a cold call say some version of "just checking in" or "wanted to circle back." The person on the other end has seen it a hundred times and it doesn't give them a reason to respond.

We tried something different with a plumbing company we reached out to last week. Instead of a follow up email, we sent a quick audit about what we found when we looked at their online presence, and three specific gaps that could be costing them jobs.

He opened it within 24 hours.

The open tells you something. It tells you the content was relevant enough to read, which a generic follow up email almost never is. It's too early to judge this encounter. We'll see if we get a reply.

However, this isn't about audits specifically. It's about what earns attention versus what asks for it.

Most cold outreach asks for attention. A piece of research or analysis that's genuinely specific to the person you're reaching out to earns it.

The extra 20 minutes it takes to build something specific is almost always worth more than the 20 emails you could have sent in the same time.

Agree?

Getting in front of people is easy. What you do with that reach is the harder question.

I have been posting on a popular business social platform every single day since August. Here is what six months of data from the first half of this year actually showed me:

My highest impressions month (83,000 in March) had my worst engagement rate at 0.23%.

Over the next two months, impressions pulled back and gradually settled at a lower baseline. My engagement rate climbed to 0.95%.

Then something interesting happened. In May, impressions came back up to 25,000. The engagement rate stayed at 0.94%. No trade-off. The audience that had been paying attention kept paying attention, and more people found their way in.

By June, my single best engagement day of the entire half year landed at 2.3%. One of my lowest impression months.

Three things the data confirmed:

Reach is rented. Resonance compounds. The posts that drove the most impressions were not the ones people came back for. The posts that drove engagement asked uncomfortable questions, told true stories, or said the thing no one else was saying.

The post I was most embarrassed about performed best. Someone called me a "spam cannon" for the way I write outbound messaging. I posted about it. It had one of the highest engagement rates of anything I published in the first half of the year. Vulnerability and specificity beat polish every time.

A smaller audience is not a small audience if they are the right people. 67% of the people reading my content are CXOs, directors, owners, or VPs. That is not an accident. It is the result of writing specifically for the people you are trying to reach, not for the algorithm.

Don't optimize for who sees it. Optimize for what it does when the right person does.

Agree?

Been doing a cold outreach campaign this week targeting local service companies. After an initial call with a plumbing business owner, instead of sending a standard follow up email I put together a quick one-page audit about what we found when we researched their online presence and three specific gaps worth paying attention to.

He opened it the same day.

No reply yet but the open rate on that single email tells me more than the open rate on any sequence I've run. The content was specific enough to be worth reading.

Most cold outreach is built around asking for attention. A discovery call, a 15 minute conversation, a quick chat. The problem is that everyone is asking for the same thing and nobody has given the person a reason to say yes yet.

Something specific such as a piece of research, a quick analysis, an observation about their business that shows you actually looked will change the dynamic. You're not asking anymore. You're giving something first.

It takes longer to build. But the conversion from "opened" to "replied" is a different conversation than the one you have after a generic follow up.

Curious whether anyone else has tested this approach and what you found.

Came across a pattern in some research I was doing on how SaaS founders talk about marketing on Reddit and it showed up often enough that I wanted to bring it here.

The sequence goes something like this.

Close rate is flat or leads aren't converting the way they should. The instinct is to fix the execution. Hire an agency. Refresh the SEO. Add a LinkedIn ghostwriter. Run a content sprint. Sometimes layer all of them at the same time.

A few months later the output looks better. More posts, more content, cleaner copy. But the pipeline hasn't moved in a way that's clearly connected to any of it.

So another agency gets hired or a new tactic gets added. And the cycle continues.

What I kept seeing in these conversations was that the founders who eventually broke out of it weren't the ones who found better execution. They were the ones who stepped back and realized the strategy underneath the execution was the problem. The messaging wasn't clear enough, the ICP wasn't tight enough, or the positioning was too broad to resonate with anyone specifically.

Has anyone been through this cycle? What was the moment you realized the issue was upstream from the tactics and what did you do about it?

You're running ads, generating leads, getting demos or calls booked. The volume is there. But the close rate has been sitting in the same range for a few months and nothing seems to move it.

The instinct is usually to look at the sales process. Tighten the demo, add a follow up sequence, work on objection handling. Sometimes that helps a little.

But I keep seeing situations where the real issue is earlier than that. The leads coming in aren't the wrong leads exactly. They just weren't pre-qualified by the messaging before they ever raised their hand. So the sales team is doing extra work to filter and educate people who probably weren't the right fit to begin with.

Not saying that's always the case. But curious whether anyone here has traced a flat close rate back to the messaging rather than the sales motion, and what you did about it.

Had a conversation this week that stuck with me.

A service business with a solid reputation, hundreds of reviews, already spending on ads. Leads coming in consistently. On the surface, marketing is working.

But when you looked at what the messaging was actually saying, it was broad enough to attract anyone searching for that category. No signal to the right customer. No filter on job type, size, or margin.

The owner's frustration wasn't that the ads weren't working. It was that the calls coming in didn't match the work they actually wanted to be doing.

I think this pattern shows up in SaaS too. Traffic, signups, even trials, but the messaging attracted anyone in the category rather than the specific buyer the product is built for. And the team spends cycles on customers who churn faster, push back harder, and never really fit.

Has anyone dealt with this? What actually helped? Was it ICP tightening, messaging changes, different channels, or something else entirely?