How a Failed Thought Leadership Experiment Can Transform Your Content Strategy

I was convinced that volume was the answer. We ran an experiment where we dramatically increased a client’s content output, posting daily on LinkedIn, publishing articles weekly, pitching podcasts aggressively, all at once. The logic seemed sound: more visibility equals more authority.

It backfired. The content started to feel diluted. The client’s voice, which was sharp and distinct when we started, became generic because we were optimizing for quantity over resonance. Engagement dropped. The client started getting feedback from peers that their content “didn’t sound like them anymore.” For someone building a personal brand, that is the worst thing you can hear.

Thought leadership is a frequency game. Volume says “be everywhere.” Frequency says “show up consistently in the places that matter, saying things only you can say.” We pulled back, refocused on fewer pieces with a much stronger point of view, and within two months the engagement recovered and then surpassed where it had been.

That failure fundamentally shaped how we build content strategies now. Every client at BOAL starts with voice work before we produce a single piece of content. We get crystal clear on what they sound like and what hills they’re willing to die on, and then we build a content rhythm around that.

Dilute the voice, and you dilute the brand. We learned that the hard way.

I ran a thought leadership experiment in early 2024 that looked successful on the surface — and completely failed underneath.

I built an AI-driven content system to post daily across LinkedIn and X. Engagement went up. Likes were up roughly 40%, and output was consistent for the first time. It felt like progress.

Then I checked what I actually care about: comment-to-save ratio. It dropped to around 1:8, compared to 1:2 on my manual posts. People were reacting, but they weren’t saving anything.

“I’d built a very efficient system for producing content nobody needed to remember.”

That forced a reset. I cut back the automation and moved AI earlier in the process — research, pattern spotting, outlining — but kept the final voice manual.

The shift wasn’t about posting less, it was about making each post worth keeping. Now, if something doesn’t cross roughly a 1:3 comment-to-save threshold, I treat it as a weak signal regardless of reach.

The lesson was simple: consistency doesn’t build authority if the content isn’t worth returning to. AI helped with speed, but it diluted the signal until I re-centered the human layer.

One thought leadership experiment that failed for us was trying to lead the market with a new label for what we do, using the term “organic growth marketing.” We built a full hub-and-spoke content plan around it and even repositioned our homepage to match, expecting it to broaden our reach. We did get some visibility and traffic, but conversion was noticeably worse than when we used straightforward language people already searched for, like “SaaS SEO agency” or “B2B SEO firm.” The core mistake was that we tried to make the market adopt our wording instead of starting with how decision-makers already described their needs. We had not validated the phrasing with VPs of marketing, so we optimized for a term that was more popular with non-buyers. That experience refined our content strategy by forcing us to work backward from customer language first, not keyword opportunity first. Now, before we commit to a big narrative shift, we pressure-test messaging in conversations and check that it matches what real buyers say in forms, chats, and sales calls. It also made us more cautious about building large content clusters around unproven positioning. The lesson was simple: a message that sounds smart is not useful if it is not the language your customer uses.

Six founder-written opinion posts in eight weeks brought plenty of views and almost no business impact. A B2B services firm published strong takes on industry trends and AI, and some posts did 2,000-3,000 page views, but average time on page sat under 40 seconds and there were only two qualified enquiries from the whole run.

The miss was intent. The content sounded smart, but it answered questions peers found interesting, not questions buyers asked right before a purchase. We changed the format from broad opinion pieces to point-of-view content tied to buying moments: pricing myths, implementation mistakes, vendor comparison criteria, and “what happens if you do nothing”. Within about three months, traffic was lower by roughly 25%, but demo requests from organic content went up about 35% because the audience was smaller and closer to a decision.

That changed the content strategy in a simple way: thought leadership now comes after proof of demand, not before it. Search Console, sales call notes, and CRM data shape the topic first, then a point of view is layered onto a real buyer problem. I still use opinion-led content, but now it has a job: help a buyer make sense of a decision they’re already trying to make.

Our biggest content flop on the brand side was a 12-week TikTok series we built around what we thought would be the perfect DTC menswear hook: founder-narrated factory tours filmed inside our small atelier in Casablanca. We invested in a videographer for two days, lit the workshop properly, and shot 47 short clips covering pattern cutting, fabric sourcing, stitching, and packaging.

The footage looked beautiful. We posted three clips a week for 12 weeks. The average view count never broke 600. Our existing audience watched politely. Almost no new buyers came through. Conversion attribution to the series across the full quarter was around $1,400 in revenue. Production cost was approximately $4,800.

The lesson took me two weeks to admit. The content was about us, dressed up as transparency. Buyers do not buy fabric quality from a TikTok. They buy from someone they want to look like or someone whose body type matches theirs. The factory tour answered a question nobody was asking on the cold scroll.

We killed the series and rebuilt around two formats that we tested in week 13. Customer-shot 15-second outfit clips with a consistent caption format, lightly remunerated through a $20 store credit per featured clip. And founder-shot vertical videos answering one specific buyer question at a time (sizing for shorter torsos, fabric weight in summer heat, what to wear under a thobe). Same atelier, same brand, completely different angle: the buyer is the protagonist, not us.

Within 60 days the customer-clip format was driving 14 to 22 inbound DMs per week from new accounts asking about specific styles. Conversion-to-purchase from those DMs sat around 12%.

The deeper shift in our content strategy. Stop filming what is impressive about your brand. Start filming the answer to what your buyer is unsure about before they click add to cart. Hesitation is the bottleneck content should remove.

In the first two years of GavelGrow, I tried to build a following by sharing hot takes on general digital marketing trends. I thought the path to being seen as credible was to have opinions on everything: AI content, the death of third-party cookies, social media algorithm changes, big brand campaign results. I was posting constantly. The engagement was decent — marketers liked the posts, shared them, sometimes agreed or pushed back.

The problem: none of it brought in a single client.

About eighteen months in, I ran an honest audit of where every client we’d actually signed had come from. The pattern was unmistakable. Every client had found us through something specific to legal marketing — a post about GBP optimization for law firms, a write-up about Google Ads mistakes personal injury attorneys make, a case study about a firm’s intake process. Nobody had hired us because they liked our opinion on LinkedIn’s algorithm.

The lesson was uncomfortable: I had been performing expertise to an audience of peers, not demonstrating expertise to an audience of buyers. The broad marketing content made me look engaged to other marketers. The specific legal content made me look credible to attorneys.

We cut general marketing content almost completely after that. Everything published under the GavelGrow name now addresses a specific problem that a law firm owner or managing partner is likely to type into Google at 10pm when they’re worried about their caseload. The tone changed too — less punditry, more “here’s what we tried, here’s what happened, here’s what you can replicate.”

Inbound inquiries roughly tripled in the following six months. The audience is smaller. The fit is much better.

Abram Ninoyan, Founder & Senior Performance Marketer, GavelGrow

One thought leadership experiment that failed for us was investing heavily in long-form, highly technical “ultimate guides” under the assumption that depth alone would earn authority, links, and traction; while the content was objectively strong, it underperformed in both reach and engagement because it didn’t align with how our target audience actually discovers and consumes insights.

The issue wasn’t quality, but format and distribution. These pieces were too dense for social amplification, too slow to produce to maintain momentum, and not structured around the specific questions or decision-stage triggers that drive visibility in search or AI-driven discovery.

What this experience clarified is that thought leadership is less about how much you know and more about how effectively you package and deploy that knowledge across different surfaces, so we shifted toward a modular content system where one core idea is broken into multiple formats, such as short-form insights, opinionated takes, data-backed snippets, and search-optimized pages, all reinforcing the same narrative.

This not only improved consistency and frequency but also increased our chances of being surfaced across channels, from traditional search to emerging AI answer layers.

The key lesson was that authority compounds through repetition and accessibility, not just depth, and once we started optimizing for distribution mechanics and audience behavior rather than purely content completeness, our visibility and engagement improved significantly.

In one campaign we tried to turn a long, polished thought-leadership post into a Reddit “guide” and cross-post it to several relevant subreddits in the same week. Even though the content was accurate, it read like a blog article, didn’t match each community’s tone, and didn’t invite a real back-and-forth. The result was predictable: low engagement, a couple removals for self-promo rules, and the threads that stayed up sank quickly because they didn’t earn early upvotes or comment velocity.

That failure pushed us to redesign the strategy around native participation: start with one subreddit, one specific thread type, and one clear user intent (someone asking for help, comparing options, or sharing an experience). We now test “comment-first” positioning, write in the language the community already uses, disclose affiliations when relevant, and only expand to other subreddits after we see organic signals (people asking follow-ups, saving the post, or referencing it later). On Reddit, distribution doesn’t create trust; consistency inside the conversation does, and visibility compounds when your answers keep being useful over time.

Launching a comprehensive educational webinar aimed at freelancers in the Forex trading industry seemed like a promising initiative at first, but it ultimately didn’t yield the results we were expecting at TradingFXVPS. The goal was to position ourselves as a thought leader in our niche by offering a series of free, value-packed webinars on optimizing trading performance through VPS solutions. Despite investing in high-quality content and significant advertising spend, attendance was weak—less than 15% of sign-ups joined live, and engagement was even lower. Upon reflection, we realized we misjudged our audience’s primary needs. Most freelancers in the Forex space preferred bite-sized, actionable tips over lengthy live webinars, likely due to the high-paced, on-the-go nature of their work.

What this failure taught me was the critical importance of audience feedback loops. Rather than assuming what our users wanted to learn, we shifted to directly engaging them through surveys and customer polls. Interestingly, when we repackaged the content into quick, 5-minute video tutorials hosted on our site and shared through email campaigns, the engagement rate soared by 65%. Furthermore, addressing specific pain points—such as latency issues during high-volume trades—garnered even more traction. This not only refined our content strategy but reinforced the value of meeting your audience exactly where they are and how they consume information.

Beyond leading a fast-growing company in the Forex VPS niche, I’ve spent over a decade honing marketing strategies specifically for highly focused audiences like ours. My background as both a CEO and marketer gives me a dual lens to analyze both business objectives and user needs, ensuring actionable insights grounded in real-world experience. Failure, as I’ve learned, offers data—and data is priceless when channeled effectively for strategy recalibration.

Before I started J&A Digital Solutions full-time, I ran a thought-leadership experiment where I posted deep-dive, certification-style SEO content (Semrush/DigitalMarketer type stuff) aimed at “educating local business owners.” It got attention from other marketers, but almost zero real conversations with contractors—the exact people I serve with our 5 Lead Guarantee.

The failure was simple: I was teaching *marketing*, not solving *Tuesday problems* like “why am I not showing up in ‘electrician near me’?” or “why do I get calls but no bookings?” Most owners don’t want a framework; they want a next step they can implement in 15 minutes between jobs.

That changed my content strategy into a “Blueprint-first” format: one local visibility lever per post (Google Business Profile basics, service-area setup, reviews/reputation workflows using our GetReviews4.Us app), written so a busy HVAC owner can apply it fast. If a piece doesn’t lead naturally into a marketing blueprint call or a measurable action (calls, messages, booking requests), I don’t publish it anymore.

Now I use my technical background (20+ years building websites + corporate analytics at JPMorgan Chase) to make content operational: checklists, scripts, and what-to-fix-first priorities. Thought leadership isn’t “look how much I know”—it’s “here’s how you get consistent lead flow without gambling your money away.”

Early on in my content journey, I thought I had cracked the code. I launched a podcast series aimed at positioning myself as a thought leader in retail marketing. Big production, polished sound, scripted episodes, the whole thing. I was convinced that longer, more “professional” content was the ticket to building an audience. I was wrong.

The numbers told me the truth fast. People weren’t tuning in. They weren’t sharing it. And my own team gave me blank stares when I asked if they’d listened. That hit different. Here were the people I work with every day in building our culture, growing talent, and shaping our HR strategy, and they couldn’t connect with the content either. If my own team isn’t engaged, how could strangers be?

What I learned is that being real beats being polished every single time. People don’t want a performance. They want a person. I had been so focused on sounding “important” that I forgot to actually be useful. I stripped things back and started sharing raw, honest takes on what’s working, what isn’t, lessons from trying to build a strong team, and helping people grow in their roles.

Once I made that shift, engagement went up. Not because I got smarter, but because I got simpler. I stopped trying to impress and started trying to help.

Bottom line: A fancy podcast with no real connection failed fast. It taught me that simple, honest content beats polished fluff. Talk to people like a human, not a brand, and your audience (including your own team) will actually show up.

I’ve helped generate over 10,000 treatment admissions, but an early thought leadership experiment for my SaaS platform, Pivotal, failed because I let a “marketing committee” own the content strategy. We produced safe, generic articles that lacked the “lived experience” necessary to build trust, proving that leadership goals owned by a group are effectively owned by no one.

This experience taught me that “accountability without consequences is theater,” so I refined our strategy to assign a single individual owner to every content piece. We stopped focusing on content volume and started requiring every post to be tied to specific baseline data and a clear “why” that resonates with people at rock bottom.

We now apply this at Faebl Studios by conducting quarterly retrospectives to audit which specific voices and topics drive our 40-83% performance advantage over industry benchmarks. By treating content like a high-stakes clinical handoff, we ensure every insight provides the immediate, practical value that families in crisis actually need.

I experimented with an unsuccessful thought leadership effort where I positioned ROKR as “a high-end art collectible” brand through my marketing content (versus emphasizing playability & hands on creativity). I believed by creating exclusivity & craftsmanship experiences, I could create higher perceived value for the consumer & thus we spent a lot of time writing long form blog posts & producing minimalistic visual campaigns, similar to those of luxury brands.

Unfortunately, our user engagement fell off the cliff. Our users simply were not connecting with this positioning, nor did they feel comfortable approaching it.

My take away from this is that although ROKR has great aesthetics & craftsmanship, its greatest strength lies within the creative, interactive build experience users have when building their own products. As such, I shifted focus of my content development to be both story telling as well as “the build journey,” highlighting the fun, the challenges & the emotional fulfillment of completing the assembly of one of our products.

We spent about six months writing detailed recruiting guides aimed at enterprise HR audiences and saw almost no traction. The content was thorough, the SEO structure was sound, the data was real. Recruiters didn’t share it because it didn’t match how they actually talk to each other, which is specific, opinionated, and a little impatient with nuance.

The shift was moving from comprehensive to specific. A post answering one narrow question in two minutes outperformed a 4,000-word guide on the same topic by a wide margin in both traffic and inbound. We still write longer pieces, but the framing changed from ‘here’s everything you need to know’ to ‘here’s the one thing most teams get wrong.’ That reframe cut production time and improved performance at the same time, which I wasn’t expecting.

One thought leadership experiment that didn’t work well for us at Jungle Revives was when we tried to create very “high-level” educational content about wildlife conservation.

At that time, we thought that if we wanted to build authority, we needed to sound more expert. So we started writing posts that explained topics like forest ecology, animal behavior theories, and conservation models in a more formal way. The language was slightly heavy, and the content was more informational than experiential.

On paper, it looked like good “thought leadership.” But in reality, it didn’t connect with our audience.

We noticed very low engagement. People were not commenting or sharing. Even worse, some of our regular followers told us that the content felt too complicated and distant. It was clear that while the information was correct, it was not easy to understand or relate to.

So we stepped back and reviewed what went wrong.

We realized a simple truth: our audience did not want classroom style knowledge. They were people who loved nature, travel, and wildlife but they wanted simple explanations, real stories, and practical understanding, not academic language.

After that, we changed our approach completely.

Instead of writing like experts, we started writing like guides in the forest. We began using simple language, real examples, and on-ground experiences. For example, instead of explaining “predator-prey dynamics,” we would talk about a real safari moment where deer suddenly became alert because of a leopard’s movement nearby, and explain what that means in very simple terms.

This shift made a big difference. People started engaging more, asking questions, and sharing the content. Most importantly, they started trusting us more because they could actually understand what we were saying.

How this refined our content strategy:

We learned that thought leadership is not about sounding complex or highly technical. It is about making useful knowledge easy to understand and connect with real life. Now, we always ask one question before publishing anything: “Can a first-time traveler understand this easily?”

Don’t confuse complexity with credibility. In most industries, especially experience-based ones like wildlife tourism, simple and clear communication builds more authority than complicated language ever will.

In simple words, people don’t follow content they need to decode; they follow content they can instantly understand and feel connected to.

We tried ghostwriting LinkedIn posts for our founder for three months. Drafts were polished and sounded like content marketing. Three months in, two prospects asked her about a stat she’d “shared” that she had never read, and engagement had flat-lined despite cadence going up.

Thought leadership doesn’t survive ghostwriting. Readers detect the gap between operator and writer within a few posts. We killed the program. The founder now writes one or two posts a week herself, less polished but readable as her own opinion. Engagement quadrupled inside the quarter. The strategy shift was treating her as a bottleneck instead of trying to scale her.

Ever seen those posts from LinkedIn influencers that are long and full of short, snappy lines, rhetorical questions, and exaggerated claims? They seem to work for many, so I tried to make them work for me. For one full month I posted once a day at the same time, always with this irreverent style, long-winded but catchy at the same time. After 30 posts I realized it had been a failure. Nonetheless, it taught me an important lesson. Don’t try to adopt someone else’s voice and style just because it’s working for them. Your audience expects to see your voice come through on posts, not someone else’s. Just because something works for others, it won’t necessarily work for you. What people are looking for is authenticity. Overly formulaic solutions are likely to come across as forced and will ultimately fail. A failure is only a failure if you don’t learn from it!

There was an experiment we tried in the past where we published content that was technically accurate but intentionally too specific. That is, providing specific thresholds, specific rewrite rules, even ballpark internal scoring logic for what makes text sound human vs. model-like. The thought was that specificity would lend credibility.

What happened was something we did not anticipate. A handful of readers questioned whether the numbers were fabricated (they weren’t, they were just the results of internal testing). It took some time to understand why. Humans aren’t accustomed to seeing language behavior explained in precise terms, so when you do present something that specifically, it feels manufactured even when it’s accurate.

That approach didn’t fare so well. Although we continue to use identical data, we no longer display it directly. Instead, we convert it into ranges, trends, or straightforward human-scale comparisons. Reducing precision enhanced its credibility. The key takeaway is that, for machine-generated content, credibility is as much about meeting expectations regarding how truth should appear as it is about maintaining accuracy.

One experiment that didn’t land was trying to produce highly technical, education-heavy wine content aimed at showcasing expertise. The idea was to go deep on regions, soil types, and winemaking processes, assuming that level of detail would build authority and engagement. In reality, it fell flat. The content was accurate and well-researched, but it didn’t connect with the audience in a meaningful way. It spoke more to what we wanted to say than what our customers actually cared about.

That experience shifted our approach quite significantly. Instead of leading with technical depth, we started focusing on storytelling, context, and discovery, bringing wines to life through the people, places, and moments behind them. We still include expertise, but it’s layered in naturally rather than being the starting point. The result has been far stronger engagement, because the content feels more accessible, relatable, and aligned with how people actually experience wine.

We ran an experiment that leaned on our agency social channels to showcase creative work as thought leadership, and it failed to build the engagement and community we needed. That taught us that portfolio-style posts alone do not create the sustained conversations B2B buyers respond to. We shifted our content strategy to invest in our founders’ personal brands on LinkedIn, prioritizing authentic thought pieces and direct engagement over curated work posts. That approach, deployed across paid and organic channels, has given us clearer signals about what resonates and informed subsequent content choices.

Years ago, I tried to launch a phone company. We called it Frank.

The idea was simple: take a budget smartphone, rebrand it with youthful marketing inspired by Koodo’s playful approach, and sell it at a steep discount in the North American market. We thought we’d found an arbitrage. Good hardware, low cost, clever story. We made so many stupid mistakes I’ve lost count.

Legal issues we didn’t anticipate. Import complications we hadn’t researched. A go-to-market strategy built on enthusiasm instead of understanding. We ran into walls we didn’t even know existed because we never bothered to look for them.

I call it a failure. Some people try to soften that word. “Oh, but you learned so much.” “It wasn’t really a failure, Fahd.” I’m not attached to protecting my ego from the label. We stopped the project. That means it failed.

But here’s what it taught me about my own pattern as an entrepreneur, and it’s something I now teach other founders: I have a “ready, fire, aim” disposition. I take the shot first, then figure out what I’m shooting at. That bias toward action is useful. It’s also dangerous. When it works, you move fast. When it doesn’t, you burn time and money on ventures you were never prepared to execute.

How it refined my approach:

I now force myself to write down what would make me quit before I start something new. Not a vague sense of “if it doesn’t work out.” An actual trigger. If we don’t see X traction in four months, we stop and reallocate. No renegotiating with myself later.

This sounds obvious but it’s not. Most entrepreneurs, myself included, fall in love with potential. We keep zombie projects alive for years because we forgot to define what failure looks like. Frank taught me that knowing when to quit is as important as knowing when to push.

The other lesson: your experiences shape your solutions in ways you don’t see. I came from a marketing and storytelling background. So I assumed the hard part was the story. It wasn’t. The hard part was the boring operational stuff I’d never studied. I was trying to solve a logistics problem with a branding hammer.

Now when I advise founders, I ask: what are you assuming is easy because you’ve never actually done it? That blind spot is usually where the failure is hiding.

We ran a stretch where we increased posting frequency on LinkedIn for topics under founder commentary, broader franchising takes, and general market observations.

Engagement increased, but the inbound quality didn’t reflect the type of franchise buyer conversations we were aiming for.

That difference became a lesson learned. We adjusted toward content directed around how people go through franchise ownership decisions such as capital readiness, risk tolerance, and decision criteria.

The change wasn’t about tone but it came down to purpose. Content started reflecting the questions buyers ask before they ever reach out.

It reduced irrelevant inbound and made conversations easier to qualify early.

I failed terribly when I tried positioning myself as a broad travel trends voice instead of staying close to our core—connectivity and real traveler friction. We published polished insights on destination trends and digital nomad growth, but the content attracted the wrong audience. We ended up with high impressions, but almost no qualified inbound or partner conversations.

The biggest problem was misalignment. The content wasn’t anchored in what we actually solve day-to-day, so it didn’t build authority where it mattered. It looked credible, but it wasn’t useful to the people who would actually work with us.

After several rounds of trial and error with no tangible results, I narrowed everything to specific operational problems we handle. I started focusing on SIM activation failures at airports, fraud patterns during peak travel and cross-border logistics delays.

After some time, engagement dropped in volume but improved in quality. We started receiving more direct messages from partners, better media opportunities and conversations that actually converted.

For instance, one idea that didn’t quite pan out was writing lengthy LinkedIn updates based on how mortgage rates and the housing market would change the following quarter. In theory, it sounded solid enough. First, people tend to pay attention when someone predicts changes to the interest rates. And second, I felt that being bold in such predictions would enhance my reputation and authority among my customers and referral partners.

In practice, however, such posts garnered zero engagements. Not many likes, no comments, and no new leads. Instead, after analyzing the metrics for my posts, it became apparent that anything I wrote about the reasoning behind my clients’ choices, the intricacies of lending, and actual situations I experienced during my time in this industry received more attention than any speculation about the future of mortgage rates.

This observation had an enormous impact on how I develop and share my content. No longer trying to portray myself as a brilliant economist who can accurately forecast the future, I turned to sharing my thoughts on specific issues and cases in my line of business. Every single post references something, either something a client brought to me, some common mistakes potential buyers make, or even my own criteria when working on a tricky file.

So, the main message I would like to convey to other founders and business owners is that thought leadership is most impactful when backed by your expertise.

One early business failure that shaped my leadership and content strategy came from my first venture, a choperia in Brazil.

At the time, I entered the business with enthusiasm but without a true operational understanding. It was a large venue, with multiple partners, and like many first-time entrepreneurs, I assumed that passion alone would translate into performance. It didn’t.

There were fundamental things I didn’t know, down to operational details like inventory cycles and product constraints. In that type of business, for example, a barrel of draft beer has a limited lifespan once opened. That kind of detail directly impacts cost, waste, and profitability. I was learning those realities in real time, inside a complex partnership structure where alignment was inconsistent.

The failure taught me two critical lessons.

First, you cannot operate in a space where you lack operational authority. Either you develop deep knowledge, or you bring in someone who already has it. There is no shortcut.

Second, partnership is not about complementary personalities, it’s about aligned thinking. In business, misalignment compounds faster than mistakes. If partners don’t share the same standards, pace, and decision-making framework, execution breaks down quickly.

That experience fundamentally reshaped how I approach both business and content today.

In my current work, I no longer create from abstraction. Every piece of content is grounded in operational reality, what actually happens inside the business, what drives results, and what clients experience. I focus on precision, not trends. Systems, not ideas.

It also refined my voice. Instead of speaking from theory, I speak from applied experience, which builds a different level of trust with the audience.

Ultimately, that early failure removed the illusion that ideas alone create success.

Clarity, alignment, and operational depth do.