How YouTube’s Algorithm Can Find Your Customers for Free

Want to stop paying for distribution and let YouTube's AI find the right audience for your business? Wondering how to create content that turns casual viewers into loyal customers without spending a dollar on ads? ​In this article, you'll...

How YouTube’s Algorithm Can Find Your Customers for Free

Want to stop paying for distribution and let YouTube's AI find the right audience for your business? Wondering how to create content that turns casual viewers into loyal customers without spending a dollar on ads?

​In this article, you'll discover how to build a YouTube content strategy that lets the algorithm find and deliver your ideal customers without paid ads.

This article was co-created by Derral Eves and Michael Stelzner. For more about Derral, scroll to the end of this article.

Why Most Businesses Get YouTube Strategy Wrong

Most businesses approach YouTube as a content repository, uploading videos without a coherent strategy. When they do develop a strategy, they tend to make a foundational error: targeting customers instead of viewers.

​Derral Eves explains that YouTube's AI-based algorithm isn't designed to serve customers. Since 2013, when YouTube shifted from a view-based algorithm to an AI-driven one, the platform has been engineered to do one thing: identify viewers who want specific content and keep them on the platform longer. The algorithm matches content to the right audiences without the creator spending anything on distribution.

​That goal creates an opportunity most marketers miss. Instead of crafting content aimed at someone ready to buy, the approach is to create content that brings genuine value to someone who doesn't yet know the brand. YouTube then acts as a free, organic distribution engine, recommending that content to similar viewers based on their watch history and topical interests.

​One of Derral's students ran an e-commerce business selling used office furniture sourced from office foreclosures. His entire traffic strategy was YouTube-based, with no email list and no paid advertising. Rather than filming product listings, he created content designed for viewers: review videos, comparison breakdowns, and videos detailing what to look for when buying specific types of furniture.

​Derral coached him to expand further, suggesting formats like S-tier to F-tier ranking videos that would appeal to gamers searching for affordable gaming chairs. The student also used live streams to engage viewers directly and answer questions.

​The strategy succeeded because YouTube surfaced his videos in both YouTube search and Google search results, creating dual visibility. Approximately 75–80% of his views came from YouTube recommendations alone. Viewers who arrived through search would watch three or four videos, prompting YouTube to recommend his content with increasing frequency. He expanded from one warehouse to two.

​When he eventually layered in traditional marketing tools such as email drip sequences alongside YouTube, his sales surpassed $20 million, all with zero ad spend on distribution. He also created his own annual May sales event featuring live streams that outperformed his Black Friday numbers.

#1: Target the Viewer, Not the Customer

To stop thinking about the end customer and start thinking about who would naturally find value in a piece of content, Derral recommends focusing on psychographics over demographics.

​Demographics inform how to present content. A video for Gen Alpha looks different from one aimed at boomers, even if the core information is the same. Psychographics, however, reveal what motivates a viewer based on their values, needs, fears, and life circumstances, and that motivation is what drives viewing behavior.

​Derral uses Abraham Maslow's hierarchy of needs as a lens for understanding viewer motivation. The emotional connection a viewer has to content is driven by where they sit on that hierarchy, and understanding those needs shapes everything from topic selection to how a video opens.

​For example, an immunologist wanted to use YouTube to attract more patients to her practice. Several of her videos had gained traction, with one approaching a million views. Derral's approach was to examine who was actually watching. The audience skewed 45 to 65-plus.

​That demographic insight pointed toward psychographic understanding: these viewers were likely experiencing health wake-up calls, noticing declining energy, dealing with blood pressure issues, or processing the loss of someone close to them.

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​That psychographic profile led to a specific content strategy. A video on ten foods to naturally lower blood pressure reached 1.7 million views. The follow-up, a video on five mistakes people make when checking their blood pressure, accumulated 865,000 views in less than two weeks.

​YouTube recognized the topical connection and recommended the second video to viewers who had watched the first.

​The business impact followed naturally. As viewers watched multiple videos, they came to trust the doctor. They discovered she sold supplements like B12 and offered virtual visits. Derral frames this as YouTube operating as the top of a funnel: each video brings viewers closer through the know, like, and trust progression until they're ready to explore what the creator offers, without ever being pitched directly.

The Outlier Research Method for Understanding Your YouTube Audience

An outlier video is one that has accumulated a large number of views in a short period from a channel with relatively few subscribers, signaling strong general interest in a topic.

​To find outliers, Derral suggests searching YouTube for the type of content you’re planning and identifying videos that fit that pattern. Those URLs can be saved to a spreadsheet or a YouTube playlist for later analysis.

​The most valuable data often comes from comments. Comments reveal how viewers derived value from a video and where they felt it fell short. The gaps viewers identify become opportunities for differentiated content. Derral also recommends reviewing commenter profiles to see who is engaging. Profile details and commenting patterns reveal whether the audience skews younger, older, or spans a specific demographic, which helps validate psychographic assumptions.

​AI tools like Claude, ChatGPT, or Gemini can accelerate this analysis. Creators can feed these tools batches of video URLs and ask what the comments have in common, what viewers found valuable, and what questions went unanswered.

Pro Tip: A common mistake is the belief that content should appeal to everyone. Derral challenges this assumption. There is always a core audience that will be more receptive, and identifying that core audience is what allows the algorithm to function effectively. The more precisely a creator understands who finds their content valuable, the more effectively YouTube can match that content to similar viewers.

#2: Use a Curiosity Gap to Earn the Click

Once the target viewer is defined, the next challenge is earning the click. Derral identifies curiosity as the primary driver.

​The title and thumbnail need to create a curiosity gap specific to the viewer's situation. For the immunologist, a title like “Top 10 Foods to Bring Down Your Blood Pressure Naturally” works because it addresses an active need and creates curiosity about whether the viewer is already eating those foods.

​After the click, the decision window is narrow. Viewers watch about 5 to 10 seconds of a long-form video before deciding whether to stay or leave. On mobile, that window contracts further. On shorts, the threshold is measured in milliseconds. The opening seconds must reinforce the curiosity that earned the click, confirming immediately that the viewer is in the right place and that the promised value is coming.

Pro Tip: Derral warns against a mistake common among marketers: applying ad copy techniques to organic video. Marketers who attend conferences and learn about selling, credibility stacking, and promotional frameworks often bring those instincts to YouTube. The result is an opening that feels like a pitch, and viewers click away. You have to switch from “sell” to “help.” If a viewer can get full value from the video alone, without being sent to a landing page or offer, that builds the foundation for everything that follows.

#3: Build Know, Like, and Trust Before Selling

The real value of YouTube isn't a single view. It's sustained viewership across multiple videos, the point at which a casual viewer becomes an engaged follower.

​Derral explains that delivering value early in a video produces a compounding effect. When viewers receive substantive value in the first minutes, they become more patient and stay through the entire video. That extended watch time signals to YouTube that the content is worth recommending, which brings additional viewers and creates more opportunities for the know, like, and trust cycle to deepen. Viewers who find genuine value also share content organically, often identifying four or five people who would benefit, thereby amplifying it beyond what the algorithm alone would.

​The Dry Creek Wrangler School channel, which has 1.6 million subscribers, is run by a creator in his sixties who records unedited videos of himself sharing cowboy wisdom beside a campfire. The channel gained traction during the pandemic, when his in-person school closed, and he had more time to share what he calls “words of wisdom.”

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​He monitored his comments closely, noticed viewers expressing that they were struggling to get their lives together, and created content that addressed those needs directly. His most popular video, “When You Just Ain't Got It Together,” has 8.5 million views. The next two address loneliness and how to be a proper man. Some videos have 18,000 comments.

​The content resonates because it meets a real need: a predominantly younger male audience seeking candid guidance and validation they aren't finding elsewhere. The value proposition is authenticity, delivered without concern for production polish or strategic positioning.

​The business result followed the same pattern. His Wrangler School, a week-long cowboy experience, sold out, with a three-and-a-half-year waitlist. Every sale came from viewers who had consumed enough content to feel a sense of trust and familiarity with the creator. Derral says that when the know-like-trust cycle is executed well, creators don't need to sell directly. They present an offer, and the audience responds.

Pro Tip: A critical mistake is withholding value behind a gate. If every video ends with a redirect to a landing page for the remaining information, viewers lose trust. Occasional calls to action are appropriate, but consistently reserving the best content for a paid offer undermines the relationship that YouTube is uniquely positioned to build.

#4: Find an Authentic Voice

Your voice is what separates channels that grow from channels that plateau.

​For creators who default to a promotional persona on camera, adopting an elevator pitch or a polished marketing delivery that reads as inauthentic to viewers, the adjustment is more straightforward than most creators expect.

​Derral recommends imagining the camera as a friend at dinner, someone genuinely interested in the topic who doesn't need to be sold. That conversational register is what performs on YouTube. Podcasts succeed for the same reason: they function as conversations, not presentations.

​One of Derral's students had been posting YouTube videos for 17 years with roughly 10,000 subscribers and inconsistent views ranging from 25 to 7,000. Derral had seen this same person deliver compelling keynotes on stage, but on camera, his delivery stiffened.

​The solution was environmental. The creator setup a Zoom call with students visible on a screen behind him and recorded himself presenting to them. He needed the nonverbal cues, the eye contact, and the energy of an audience to access his authentic delivery.

​The first video produced under this arrangement earned 1.5 million views. Over time, he internalized the approach and no longer needed the live audience, but the initial setup was what allowed his natural voice to emerge.

​Pat Flynn's Deep Pocket Monsters channel demonstrates another dimension of voice.

​Pat entered the Pokémon niche not as an expert but as someone genuinely curious about collecting. It took him about a year to find his voice on the new channel, but once he did, the combination of authentic curiosity, storytelling, and humor drove billions of views.

​Pat produces videos that run over an hour with high retention, and the audience response reflects the depth of connection. His in-person events now draw 9,500 attendees.

​Derral notes that Pat had to unlearn what worked on his business-focused channels. The audience, tone, and format that worked for one audience didn't translate to another.

​Derral adds that authenticity is becoming even more important as AI reshapes content creation. Audiences still seek human connection, and creators who build genuine communities around their authentic voice will maintain a lasting competitive advantage. The channels that sustain growth are those where the creator's identity is distinctive and unmistakable.

#5: Choose the Right YouTube Video Format and Mechanism

YouTube content strategy starts with understanding what the target audience is already watching. Derral recommends compiling a list of successful videos in a niche and analyzing their commonalities: the formats they use, how they capture attention, and how they sustain it.

​The editing style itself carries information. Fast cuts and rapid pacing typically indicate a younger audience, while a more measured delivery with deeper content focus suggests millennials, Gen X, or boomers.

​Derral calls the structural element that keeps viewers engaged throughout a video a “mechanism,” a content format or device that creates a natural progression, giving viewers a reason to keep watching from beginning to end.

​The easiest mechanism for creators just starting out is the listicle, such as: five biggest mistakes, ten top foods, five things most people don't know. Listicles create a natural progression in which viewers move from item to item, and retention stays high as long as each segment delivers value and the pacing remains consistent. An uneven listicle, where one point runs for 10 minutes and the next for 2 minutes, causes a drop-off.

​For creators who want to go beyond listicles, storytelling is the most powerful mechanism. Derral recommends the ABC storyline structure.

​The A storyline is what the video is about, and it should match the title. The B storyline is the why: why should someone care, why is this video being made? The C storyline is a common thread that ties together the A and B storylines, creating continuity and emotional investment.

​Other mechanisms include time-bound challenges, where a creator attempts to accomplish something within a set period, and collection or completion challenges, like Pat Flynn's quest to collect every card in a Pokémon set.

Pro Tip: Device type shapes content length decisions. YouTube analytics reveal whether viewers are watching on TV or mobile. TV viewers are in a lean-back experience, less likely to skip, and often watching with someone else. Those viewers can handle hour-long content. Mobile viewers tend to watch during breaks or while multitasking, making shorter formats more appropriate for that device.

​Short-form video serves a specific strategic role. Shorts are effective for discovery and for developing the skill of capturing attention quickly. On YouTube, shorts can be linked to long-form videos on the same channel, making them a direct traffic source. Derral describes the typical viewer progression: a compelling short generates curiosity, prompting the viewer to seek out the full podcast or long-form video and engage more deeply with the creator.

#6: Use YouTube Analytics to Analyze and Adjust

Derral operates on a four-step cycle: plan, execute, analyze, and adjust. YouTube provides more granular, real time analytics than any other social platform, and creators who ignore that data are, in Derral's words, repeating the same approach and expecting different results.

​The analysis starts with retention data. If viewers drop off in the first ten seconds, the problem is one of two things: the title and thumbnail attracted the wrong audience, or the opening didn't reinforce the curiosity that earned the click. If the drop-off happens at minute three, the video is taking too long to deliver value, or it's missing a re-engagement tease, something that signals bigger value is still coming.

​Each video becomes an experiment. When a creator tests a new opening approach, and retention improves from 50% drop-off to 30% in the first ten seconds, the adjustment worked. The next step is to identify the next drop-off point and address it. Over time, this iterative process builds an intuitive understanding of what the audience responds to, and that understanding compounds.

​The creators who succeed on YouTube aren't the ones who guess right on the first try. They're the ones who treat every upload as data, learn from it, and apply those lessons to the next video.

Other Notes From This Episode

Connect with Michael Stelzner @Stelzner on Instagram and @Mike_Stelzner on X. Watch this interview and other exclusive content from Social Media Examiner on YouTube.

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