Everything you need to know about direct response e-commerce funnels (high-level overview).
This is how I used direct response funnels to scale ecommerce offers to $500k+/month and sell 2 brands.
The 2 main aspects to a profitable ecommerce offer are:
1) Funnel architecture (advertorial, product page, upsell 1-3)
2) Copywriting (VSL script + funnel copy)
The funnel starts with the VSL ad (ran on Meta).
Think of the VSL itself as a funnel that captures attention, transforms it into interest/engagement (in the lead), turns interest/engagement into belief (in the mechanism explanations), turns belief into acceptance of the product (in the product intro/explanation), turns acceptance of the product into desire to purchase (in the close [guarantee, social proof, urgency, scarcity, fear/dream outcome, CTA]).
The overt goal of the VSL is of course to get them to click through to the next page (advertorial or product page).
But on top of this, we want them to land on the next page with buying intent already, belief in the mechanisms, understanding of the product, a vivid picture of their desired outcome, and reduced skepticism/hesitation.
Then, the advertorial first captures attention (headline, image, lead) and sells them further on the main points of the VSL; it doubles down on the promises, benefits, makes the mechanisms more clear, and reinforces buying intent by reducing skepticism with social proof and guarantees and pushing for action through urgency, scarcity, and a clear call to action with a good reason why they should buy now.
The close of the advertorial is also ideal for AOV boosting, encouraging the prospect to buy more in the form of bundles with a good reason why.
Essentially, in the advertorial we reinforce and restate everything we did in the VSL, but the traffic on the advertorial is already interested, now we're enhancing and upgrading that interest into clear buying intent.
Then we send them to the product/offer page, where that buying intent is focused on the product and nothing else.
Before (in the VSL and adverotrial) we capture attention and turn it into interest and buying intent. Now, we take the attention/interest/buying intent that the advertorial created and finally give them a way to release all the energy of wanting to buy by giving them a buy now/add to cart button.
The checkouts job is to be 1) high-converting and 2) boost AOV by offering attractive bundles with discounts and sometimes bonuses if applicable. We also boost our profit by adding a pure margin order bump, like express shipping and warranties.
Once they have completed their purchase, the job of the upsells is to boost AOV and profit/order by offering, first, more of what they bought at a discount, then complimentary high-margin products (light and small for low shipping cost, build up perceived value with copy).
This is the general outline of a direct response ecommerce funnel, and once you have the funnel structure built out, it's all down to the strength of your marketing and copy to actually make it work!
That's what my YT videos and Skool community are for. To teach you how to launch/scale a profitable 6-7 figure per month ecommerce funnel, and also teach you WHY it works (the direct response principles that actually cause conversions) so you can iterate and scale and know what you are doing, instead of just riding a profitable opportunity.
Once you understand direct response, you can sell with any business model, on any platform, with any offer.
My tweets/YT/Skool community teaches you the HOW (exactly how to set up and launch a direst response funnel) as well as the WHY (the principles behind why our funnels and ads actually cause conversions).
The more you understand the principles, the more you can pull ahead of competitors who couldn't tell you why their ads work and constantly rely on swiping until eventually they can no longer get profitable conversions.
One of the biggest skills in direct response is the reframe. The way we actually sell our products is to reframe the way the viewer views their problem.
The least efficient way to sell is just to sell to their current perception of the problem.
Every great VSL or piece of copy is very simple at the core: capture attention, reframe the way they view the problem (effective use of problem mechanism, metaphors, visualization) and once we’ve done that, we own their perception of the problem, so we sell to the version of the problem we’ve outlined.
To simplify further, get attention by connecting to what they already feel, then change how they think about the problem, then sell the solution to the new version of it.
In all of this, the hardest part is the middle; reframing the problem. Getting attention and closing is easy in comparison and much more formulaic.
Some great examples of reframing the way people think about their problems: QuietLab (new cause of snoring that explains why other solutions don’t work), Gundry (built an empire changing how people think about the actual root cause of their gut issues), and most top 10 clickbank VSLs.
If you truly want to become a world class advertiser, master the ability to change the way someone thinks about their problem.
One of the biggest skills in direct response is the reframe. The way we actually sell our products is to reframe the way the viewer views their problem.
The least efficient way to sell is just to sell to their current perception of the problem.
Every great VSL or piece of copy is very simple at the core: capture attention, reframe the way they view the problem (effective use of problem mechanism, metaphors, visualization) and once we’ve done that, we own their perception of the problem, so we sell to the version of the problem we’ve outlined.
To simplify further, get attention by connecting to what they already feel, then change how they think about the problem, then sell the solution to the new version of it.
In all of this, the hardest part is the middle; reframing the problem. Getting attention and closing is easy in comparison and much more formulaic.
Some great examples of reframing the way people think about their problems: QuietLab (new cause of snoring that explains why other solutions don’t work), Gundry (built an empire changing how people think about the actual root cause of their gut issues), and most top 10 clickbank VSLs.
If you truly want to become a world class advertiser, master the ability to change the way someone thinks about their problem.
The difference between awareness problems and mechanism problems
Many ecommerce teams misread why a VSL underperforms.
They assume the audience is wrong when the explanation is weak.
Awareness problems and mechanism problems look similar on the surface.
Both show up as low conversion rates, weak engagement, or stalled scale.
The fixes are completely different.
An awareness problem means the viewer does not yet recognize the problem or does not feel urgency around it. They are not emotionally invested enough to care.
The solution is better context, stronger agitation, or a different entry point into the problem.
A mechanism problem is more dangerous.
Here, the viewer cares deeply. They feel the pain.
They want a solution.
But the explanation does not fully convince them.
Something about the cause feels off, incomplete, or forced. As a result, they hesitate even though interest is high.
Most founders treat mechanism problems like awareness problems.
They add more pain.
They push harder.
They exaggerate stakes.
This increases resistance because the real issue was never urgency. It was belief.
The diagnostic difference is simple.
If people disengage early, awareness is likely the issue.
If they stay engaged but do not act, the mechanism is usually the problem.
Fixing awareness requires intensity.
Fixing mechanisms requires clarity.
Before you rewrite your VSL, identify which problem you actually have.
Pushing urgency onto a broken explanation only makes disbelief louder.
When the mechanism is right, awareness solves itself.
How to know when your VSL is ready for scaling
Most teams try to scale VSLs too early.
They look at short term ROAS and assume readiness.
Scale exposes weaknesses that testing hides.
In early tests, novelty does a lot of work.
Viewers are seeing the explanation for the first time.
Curiosity is high. Resistance is low.
Performance can look strong even if belief is fragile.
When you scale, novelty disappears.
The same explanation gets repeated.
The audience broadens. Skepticism increases.
Only VSLs with durable belief architecture survive that transition.
A VSL is ready to scale when three things are true.
First, performance stays stable across multiple audiences, not just one pocket.
Second, metrics decay slowly rather than collapsing suddenly.
Third, repeated exposure makes the message feel clearer, not thinner.
This is why some VSLs plateau gently while others fall off a cliff.
One installed belief. The other borrowed attention.
Another signal is downstream behavior.
When a VSL is scale ready, support tickets reference the explanation.
Comments show understanding rather than confusion. Objections shift from disbelief to logistics.
These are signs belief has locked in.
If you are deciding whether to scale, do not ask whether it is profitable today.
Ask whether the explanation still holds when novelty is gone.
Scale amplifies what is already true.
If belief is solid, scale rewards it.
How bad customer experience erodes VSL performance over time
Most people think customer experience affects retention.
It also affects acquisition.
Bad customer experience travels backward.
When shipping is slow, packaging feels cheap, instructions confuse, or support frustrates, belief collapses after the purchase. The customer may still get results, but doubt arrives first.
Did I make the right decision
Was this overhyped
Did I get sold
That doubt does not stay contained.
It shows up in refunds, disputes, and chargebacks.
It shows up in comments, reviews, and private conversations.
Over time, it feeds back into the market’s collective perception of your explanation.
This is how VSL performance quietly degrades.
The same script that once converted starts feeling less believable to new viewers.
Skepticism rises faster. Objections appear earlier.
You respond by adding proof, tightening hooks, or changing creatives, but the real issue lives downstream.
Belief broke after the sale.
High performing brands treat customer experience as belief reinforcement. Packaging matches the promise.
Instructions reinforce the mechanism. Support language mirrors the explanation used in the VSL.
Everything confirms the story.
When post purchase reality aligns with pre purchase belief, confidence compounds.
Customers become quieter, easier to serve, and more trusting.
The market stays receptive longer.
If your VSL performance slowly worsens over time, look past ads and scripts.
Ask whether the experience after checkout strengthens belief
or whether it quietly teaches people to doubt it
Acquisition builds belief.
Customer experience preserves it.
The fastest way to increase AOV without changing your offer
Most teams try to raise AOV by adding more stuff.
More bundles.
More bonuses.
More discounts.
Sometimes that works. Often it just complicates the decision.
There is a faster lever.
Increase certainty.
AOV rises when buyers feel confident they are making the right decision. The more certain someone feels, the more willing they are to commit, buy more upfront, and reduce future risk.
This is why belief quality directly affects order size.
When the explanation is weak, buyers hedge. They choose the smallest option. They avoid bundles. They want an exit. When belief is strong, they lean in. More units feels safer, not riskier.
Strong VSLs do this naturally.
They explain the problem clearly.
They make the solution feel necessary.
They frame the product as foundational, not optional.
At that point, buying more is logical. If this solves the real cause, why would I only half commit.
This is also why aggressive bundle pushes fail in weak funnels.
The buyer has not yet crossed the belief threshold required to justify a larger decision.
Before you redesign offers or add incentives, look upstream.
Ask whether your VSL creates enough clarity and confidence to support a bigger yes.
When belief is solid, AOV increases without pressure.
The most expensive ecommerce VSL mistake founders repeat
The most expensive mistake is not bad copy.
It is fixing the wrong thing.
When a VSL underperforms, founders often conclude the product is the problem.
They move on.
New offer.
New angle.
New funnel.
The cycle repeats.
What actually broke was belief architecture.
The explanation never fully landed, so the product never got a fair evaluation.
Instead of repairing the mechanism, they replace the offer and restart from zero.
This is expensive because belief is the hardest asset to build.
Traffic can be bought.
Products can be sourced.
Funnels can be rebuilt.
Belief takes iteration, understanding, and restraint.
The irony is that many losing VSLs are one mechanism fix away from working.
The audience is right.
The product is fine.
The explanation is just incomplete or misaligned.
Founders rarely revisit explanations.
They chase novelty instead.
This creates a pattern of constant testing with no compounding insight.
Each failure feels like a dead end instead of a data point.
High performing teams do the opposite.
They assume the problem is fixable.
They diagnose where belief collapsed.
They repair the explanation before replacing the offer.
If you want to reduce wasted spend, stop asking which product to test next.
Ask whether the last one was ever explained properly.
Fixing belief is cheaper than starting over.
Scientific Scaling: How to systematically scale ecom offers to $50k/day and beyond.
When it comes to scaling winning offers to $10k/day, $50k/day, $100k/day and beyond, what matters most is having a scientific process. That means you have inputs (your actions) that directly correlate to outcomes (more ad spend at your target ROAS/CPA).
Naturally, a scientific scaling system is key to consistent long term success in digital marketing and ecommerce.
So how do we turn scaling into a science, rather than a hit or miss "art"?
First of all, we have to understand what actually allows us to spend more on Meta at our target CPA so we can be profitable. And this comes down to a key principle: more winning ads.
So what is "more winning ads" made up of? In short, more winning ads means more angles, more ways to expand on each angle, and more ways to iterate on each winning concept.
So we can think about it as 3 core pieces. First, the angles/core ideas. This is the "Explore" phase.
The more core ideas you have, the further you can scale. Unlocking a new angle/core is like getting a new winning product in terms of revenue increase. A core angle is made up of 3 things: your Big Problem, your Avatar, and your Problem Mechanism. When we change any of these 3, we have a new core angle. Also, the above order corresponds to how much you can increase revenue with each type of angle.
A new Big Problem will unlock an entirely new market with many avatars and mechanisms within, meaning a new Big Problem for the same product can become 5, 10, or even 20 Avatar or Mechanism angles. An example of this is selling a skincare red light wand for "turkey neck" (wrinkles on the neck), and then, through creative testing, discovering that this same product can be profitably marketed to solve "sagging arm skin" (new Big Problem). This can help you go from spending $5k/day to $10k/day.
A new Avatar angle unlocks a large new audience on Meta. For example, selling the above skincare wand to women with a history of smoking (smoking causes skin issues, it's a very large market open to new solutions) can unlock increased scale.
A new Problem Mechanism angle helps you target a market that's looking for solutions but is skeptical. For example, selling this skincare red light wand, and explaining how the root cause of turkey neck (sagging, wrinkly neck skin) is the shriveling of collagen "superstructures" that hold together your skin. By using red light therapy to "reactivate" these cells, they don't have to shrivel to conserve resources, since now they're getting blood flow and nutrients again, and they can re-expand. (I use Perplexity to dive deeper into studies for the root cause of the issue and select one that our product can solve.
Now that we can come up with 3 types of angles that expand our reach significantly, what do we do when we find a new winning angle? What are the tactical steps we use to turn this angle into $5k, $10k, or $20k in daily ad spend at our target ROAS?
This is the second phase of Scientific Scaling: "Expansion."
We take a winning angle, and we expand on it using different ad formats (images, shorts, UGC, VSLs), copy structures, and ad styles (TED talk, interview, documentary, authority figure).
The best place to get ideas for the Expansion phase is from your competitors.
This way, you have the unique "seed" (the angle you came up with, which is the new thing you're bringing to your market), and you send it out into the market using proven, validated structures and formats.
Finally, the third way we turn angles into profit is the "Exploit" phase. This is where we take winning concepts from phase 2, Expansion, and we iterate.
We make new hooks for winning shorts, new leads for VSLs, new images and copies for Native-style ads.
And we repeat this process every week, allowing us to scale with 1) unique new angle ideas 2) new concepts to turn those ideas into ads and 3) endless variations of winning concepts.
By using AI for copywriting, image generation, and video clips, this process because extremely efficient, fast, and requires only a small team, especially once you have the full system built out.
P.S. That's what the Ecom Mastery AI mastermind is for. This is where Brandon and I have released our proprietary copywriting AI. You can ask anybody from the group; there's nothing else like it that can produce dozens of winning image ad copies, VSL scripts, and new angle ideas in minutes at this level of quality.
Inside the group, I've also released in-depth breakdowns of my internal Product Testing and Creative Testing System, among many other advanced resources. We designed EM for ecom biz owners who are already doing consistent volume and want to accelerate. It's a high-level group for high-level entrepreneurs.
Learn more: https://t.co/5l52axCNkK
How to tell if your funnel tells one story or five
Most funnels do not fail because any single step is bad.
They fail because the steps disagree with each other.
The ad tells one story.
The advertorial tells another.
The product page introduces new language.
The checkout reframes the promise.
Post purchase emails add a different explanation again.
Nothing is wrong in isolation.
Together, belief fractures.
Every time the explanation shifts, the viewer has to re orient. That re orientation invites doubt.
Doubt slows action and weakens conviction.
High performing funnels feel repetitive on purpose.
The same problem is named again.
The same root cause is reinforced.
The same solution logic is restated in familiar language.
This repetition does not feel boring. It feels confirming.
Each step reassures the viewer that they are still on the same path.
When funnels convert well, it often feels like nothing new is being said.
That is the point.
New information increases cognitive load.
Familiar information increases certainty.
If your funnel underperforms, map it out end to end and look for explanation drift.
Ask whether each step makes the original story feel more true
Or whether it quietly introduces a new one
The best funnels do not persuade harder as you go deeper.
They stay consistent longer.
One story. One explanation. One decision path.
Why education based VSLs scale longer than hype based ones
Hype works fast.
Education works long.
Hype based VSLs rely on emotional spikes. Shock, urgency, bold promises.
They create immediate attention, but the belief underneath them is thin.
Once the emotion fades, skepticism fills the gap.
That is why hype burns out.
Education based VSLs do the opposite.
They invest time explaining why the problem exists, why past solutions failed, and why this approach makes sense.
The emotional payoff comes from understanding, not exaggeration.
Understanding compounds.
Each exposure strengthens belief instead of weakening it. Familiarity builds trust rather than boredom.
The explanation feels more true the more often it is encountered.
This is why education based VSLs scale across colder audiences.
They do not depend on surprise.
They depend on coherence.
Even skeptical viewers stay engaged because they are learning something that organizes their experience.
Hype demands constant reinvention.
Education rewards consistency.
This does not mean education is boring.
Done correctly, it is emotionally engaging because clarity is relieving.
People enjoy making sense of their problems.
If your VSL spikes early and fades fast, look at what it is built on.
Is it powered by excitement or by understanding
Markets eventually reject hype.
They continue to reward explanations that hold up over time.
The real reason some VSLs feel inevitable
Some VSLs feel like a suggestion.
Others feel like the only logical outcome.
That difference has nothing to do with persuasion.
Inevitability comes from explanation dominance.
When a VSL introduces a root cause that cleanly explains the problem, disqualifies alternatives, and accounts for past failure, it slowly removes other options from the viewer’s mind. Nothing is attacked directly.
Other solutions simply stop making sense.
This is why inevitability feels calm.
The VSL does not argue. It clarifies.
Each section narrows the field of reasonable explanations until one path remains.
By the time the product appears, the decision already feels made.
The product is not framed as a choice.
It is framed as the natural way forward.
Most VSLs fail to reach this point because they leave competing explanations intact.
The viewer understands the product, but still believes other causes might exist.
That lingering ambiguity keeps the decision open.
Inevitable VSLs close that gap.
They replace confusion with coherence.
They replace options with clarity.
They replace persuasion with resolution.
If your VSL converts but never scales, look at what alternatives still survive in the viewer’s mind.
As long as multiple explanations feel equally valid, the product remains optional.
The moment one explanation owns reality, the sale stops feeling like a decision and starts feeling like the next step.
Everything you need to know about direct response e-commerce funnels (high-level overview).
This is how I used direct response funnels to scale ecommerce offers to $500k+/month and sell 2 brands.
The 2 main aspects to a profitable ecommerce offer are:
1) Funnel architecture (advertorial, product page, upsell 1-3)
2) Copywriting (VSL script + funnel copy)
The funnel starts with the VSL ad (ran on Meta).
Think of the VSL itself as a funnel that captures attention, transforms it into interest/engagement (in the lead), turns interest/engagement into belief (in the mechanism explanations), turns belief into acceptance of the product (in the product intro/explanation), turns acceptance of the product into desire to purchase (in the close [guarantee, social proof, urgency, scarcity, fear/dream outcome, CTA]).
The overt goal of the VSL is of course to get them to click through to the next page (advertorial or product page).
But on top of this, we want them to land on the next page with buying intent already, belief in the mechanisms, understanding of the product, a vivid picture of their desired outcome, and reduced skepticism/hesitation.
Then, the advertorial first captures attention (headline, image, lead) and sells them further on the main points of the VSL; it doubles down on the promises, benefits, makes the mechanisms more clear, and reinforces buying intent by reducing skepticism with social proof and guarantees and pushing for action through urgency, scarcity, and a clear call to action with a good reason why they should buy now.
The close of the advertorial is also ideal for AOV boosting, encouraging the prospect to buy more in the form of bundles with a good reason why.
Essentially, in the advertorial we reinforce and restate everything we did in the VSL, but the traffic on the advertorial is already interested, now we're enhancing and upgrading that interest into clear buying intent.
Then we send them to the product/offer page, where that buying intent is focused on the product and nothing else.
Before (in the VSL and adverotrial) we capture attention and turn it into interest and buying intent. Now, we take the attention/interest/buying intent that the advertorial created and finally give them a way to release all the energy of wanting to buy by giving them a buy now/add to cart button.
The checkouts job is to be 1) high-converting and 2) boost AOV by offering attractive bundles with discounts and sometimes bonuses if applicable. We also boost our profit by adding a pure margin order bump, like express shipping and warranties.
Once they have completed their purchase, the job of the upsells is to boost AOV and profit/order by offering, first, more of what they bought at a discount, then complimentary high-margin products (light and small for low shipping cost, build up perceived value with copy).
This is the general outline of a direct response ecommerce funnel, and once you have the funnel structure built out, it's all down to the strength of your marketing and copy to actually make it work!
That's what my YT videos and Skool community are for. To teach you how to launch/scale a profitable 6-7 figure per month ecommerce funnel, and also teach you WHY it works (the direct response principles that actually cause conversions) so you can iterate and scale and know what you are doing, instead of just riding a profitable opportunity.
Once you understand direct response, you can sell with any business model, on any platform, with any offer.
My tweets/YT/Skool community teaches you the HOW (exactly how to set up and launch a direst response funnel) as well as the WHY (the principles behind why our funnels and ads actually cause conversions).
The more you understand the principles, the more you can pull ahead of competitors who couldn't tell you why their ads work and constantly rely on swiping until eventually they can no longer get profitable conversions.
Long form statics on Meta, first person story lead into mechanisms crushinggg right now. Take a winning image ad copy, plug into AI with your copy elements, pump out ads and repeat.
Long form statics on Meta, first person story lead into mechanisms crushinggg right now. Take a winning image ad copy, plug into AI with your copy elements, pump out ads and repeat.