Video summary

jacked magnus carlsen dissects $3M/mo ecom funnel

Main summary

Key takeaways

Business

Business funnel strategy breakdown (>$3M/month ecom brand)

The presenter analyzes a brand doing over $3M/month and claims they use a multi-step “Chadfunnel” approach rather than a simple PDP funnel (traffic → Shopify product page → checkout).

Core idea

Increase AOV via post-purchase upsell architecture, not just via the initial product page.

“Chadfunnel” vs “PDP funnel”

Chadfunnel architecture

  1. Adv/Pre-sales page (often on a subdomain)
  2. Redirect to a sales page
  3. Redirect to the order/checkout page
  4. Then a stack of upsells:
    • OTO (One-Time Offer) pages sequentially (OTO1 → OTO2 → …)
    • Downsell(s) after declining an OTO
    • Ends at the Thank You page

PDP funnel

  1. Traffic goes directly to the product page
  2. Checkout
  3. Thank you page
  4. No meaningful post-purchase upsell opportunities

Why it matters (scaling logic)

  • As spending increases, CPA typically rises.
  • If AOV isn’t competitive, higher ad spend won’t be profitable.
  • Therefore, scalable growth requires strong upsell architecture to keep AOV ahead of CPA.

Concrete example: showerdriven.com (shower filtration product)

The brand is used as a live teardown example. The presenter repeatedly advises: don’t replicate; they’re “too good.”

1) Advertorial / pre-sales page (product-aware)

The presenter highlights an adv/combined sales page:

  • Headline immediately references the product (framing like a “disruptive shower head”).
  • Content heavily covers objections/FAQs, including:
    • filter change frequency
    • filter handling
    • price questions
    • compatibility (e.g., hard water)
    • whether it works for specific use cases (“does it work for X, Y, Z”)

Key content emphasis (testing framework)

  • The headline is the highest-leverage element.
  • Suggested split-test variables:
    • headline
    • sub-headline (the presenter says there’s little/no true subheadline)
    • image

Messaging angle takeaway

  • The presenter argues the headline covers features → benefits → desired outcomes, but could be more emotionally aggressive.
  • Example strategy:
    • Like the “Blissey” pillow antibacterial angle: take a non-unique product and sell it with a specific, differentiated emotional/health outcome.

Actionable recommendation from presenter

  • Run split tests on:
    • headline, then subheadline/image
  • Consider more vivid “outcome” claims (e.g., water contaminants harming hair/skin/health), while noting the goal is conversion messaging, not product novelty.

2) Checkout page (AOV levers reviewed)

Checkout features mentioned:

  • social proof
  • benefits/outcomes near CTA
  • a 10-minute purchase timer

  • quantity discounts (multi-shower purchase) positioned as an AOV driver

  • Scored: ~8.5 / 10

Missing / improvement suggestions

  • No visible order bump (presenter says this is a “super easy” AOV increase)
  • Presenter suggests placing FAQs beneath checkout, since many users skim

Actionable recommendation from presenter

  • Add:
    • an order bump (checkbox add-on with extra product for a fixed price)
    • FAQs below checkout to capture skimmers

Post-purchase upsell stack (OTO/downsells) and pricing examples

After purchase, the funnel immediately moves to a staged upsell sequence.

OTO1: filters (high-ticket emphasis)

  • First upsell is OTO1 for 72 additional filters, priced at about $280 total (calculated using ~$3.9 each).
  • Other options:
    • 36 filters (middle option)
    • 12 filters (least expensive)

Presenter reaction/insight

  • It was initially expected to be low-ticket, but OTO1 is the “most powerful step” for AOV.
  • Framework:
    • If OTO1 is strong and ideally higher-priced, it can produce phenomenal AOV.

Business outcome implication

  • Strong initial upsell take rate is implied as a key driver, though no explicit take-rate metric is provided.
  • Recommendation implied: OTO1 should be the biggest AOV lever, not a tiny add-on.

OTO1 downsells

  • If declined, downsell popups appear (e.g., the middle option with a time-limited offer message).

OTO2: installation kit / installation bundle

  • OTO2 is for installation kit bundles (hoses/holders in sets).
  • Bundle sizes roughly scale from ~3 items down to smaller sets.
  • Approximate totals mentioned: ~$40–$105 depending on bundle.

Potential weakness pointed out

  • Presenter says this step’s pricing feels low relative to what could extract more AOV.

Additional downsell prompts

  • After declining OTO2, additional downsells appear around ~50% off bundles for first-time customers.
  • Another offer includes free filters (e.g., “six free filters”), then continues into further upsells.

“TSL” / “VSL” note and later OTO for drinking water

  • Presenter observes a VSL-style script (non-forced VSL) and frames it as credibility-building + pitch vehicle.
  • Later, the funnel expands:
    • from shower water filtration to drinking water filtration
  • Presenter interpretation:
    • Framework expansion: solve the shower problem → identify a new problem → upsell the drinking-water category (with different messaging formats like VSL).

Shipping expedite add-on (low-friction)

  • Final upsell:
    • faster shipping for +$10
  • Presenter suggestion:
    • Could be placed as an order bump on checkout earlier, but acknowledges customers may be “fatigued” after many offers at this stage.

Overall funnel assessment + improvement direction

  • Funnel score (after full traversal): ~8 / 10

Main critique

  • Upsells are mostly variations of the main product (filters), rather than diversifying into new, higher-value SKUs.

Why diversification matters (enterprise value angle)

  • More product categories can:
    • increase customer lifetime value
    • enable cross-category purchases (customers buy multiple products)

Actionable next-step improvements (high level)

  • Improve post-purchase upsell path by:
    • testing more AOV expansion options
    • considering category expansion (e.g., shower → drinking water filtration)
    • restructuring the offer ladder to ladder up in value more effectively

Metrics & KPIs mentioned (explicit + implied)

  • Revenue / scale

    • >$3M per month (brand performance claim)

  • AOV drivers / offer pricing (explicit examples)

    • OTO1:
      • 72 filters ≈ $280
      • 12 filters ≈ $96

  • Offer mechanics

    • 10-minute timer on checkout
    • OTO deadlines shown as “next 2 seconds” (likely a typo)

  • No explicit KPIs provided

    • No stated CPA, conversion rate, take rate, gross margin, churn, etc.
    • However, the scaling principle is emphasized: CPA increases as you scale, so AOV must remain competitive.

Presenters / sources

  • Presenter: Mark (self-identified as “Mark here”)
  • Referenced brand example (teardown subject): showerdriven.com
  • Referenced comparative example: Blissey (pillows antibacterial angle mentioned as an example of alternative positioning)

Original video