Scaling eCommerce Brands Through Profitable Acquisition

Driving profitable, scalable growth for 8 and 9-figure eCommerce brands through integrated performance marketing, creative, and data systems.

AFR Fast Starter 2024 | Finalist Melbourne Young Entrepreneur | Startup of The Year | Emerging Agency of The Year

At Blue Sense Digital, we work with 8 and 9- figure eCommerce brands to align growth strategy with financial outcomes and operational leverage.

We work with businesses where marketing, finance, and operations need to be aligned for profitable scale.

Our clients typically operate in:
· Fashion & Lifestyle
· Consumer Goods
· Home & Living

We believe profitable scale depends on three critical levers:

→ Creative Velocity & Diversity
→ Technical Account Structure
→ Data Integrity

By integrating these pillars, we help brands build a scalable acquisition model, tied directly to financial outcomes.

For earlier-stage brands, we share proven frameworks and strategies through educational content and resources:

→ https://www.youtube.com/@bluesensedigital

If you’re an eCommerce leader ready to build your next chapter of growth, let’s connect: 
https://calendly.com/bluesensedigital/exploratory

I promise to honour your time.

Nathan Perdriau

As an ads guy, it hurts to say...
But organic > ads.

40 days of posting on Instagram.

The reach I've generated would cost $67,000 in ad spend.

Zero dollars spent.

Here's What I've Learned:

1. Volume Negates Luck

You can't post twice and expect to go viral.
Consistency compounds.
The more you ship, the more chances you have to hit.

2. No Platform Has a Daily Posting Limit

There's no cap on how much you can post.
Most people post 3x per week and wonder why they're not growing. I now post 10 times a day.

3. Diversity Matters

Don't just talk about one thing one way.
Different formats.
Different angles (tactical, contrarian, personal).
Different hooks (questions, stats, stories).

Variety attracts different segments of your audience.

4. Contrarian Takes Matter

Everyone says the same thing.
"Test more creatives." "Improve your landing page." "Focus on retention."

Say something different.
Challenge common beliefs.

Share what others won't.
That's what stops the scroll.

5. Experience Matters Most

The uncomfortable truth:
I wouldn't have any success with organic content if I hadn't spent 6 years deep in performance marketing.

Content without expertise is noise.
Expertise without content is invisible.

The Order of Operations:

- Do the work for years (build real expertise)
- Run ads to acquire clients and prove your methods
- Document what you've learned through content
- Scale organically once you have something worth saying

You can't skip step 1.

Producing Better Financial Outcomes for 8-9 Figure Brands

I analysed I Love Ugly's ad library (250 ads running).

One thing stood out immediately:

They're leaning HEAVILY into partnership ads.
And most fashion brands are completely missing this opportunity.

Here's what I found...

What They're Doing Well:

- Heavy use of DCO to avoid page limits 
- Zero DPA's (quality over quantity) 
- Partnership content driving their best performance

The Missed Opportunity:

I scrolled through their entire library.

Everything is high-production studio shoots with clean text overlays.

Zero low-fi content. Zero organic-feeling ads. Zero auditory hooks.

Now here's the interesting part:

When I sorted by longest-running ads...

The top performers (some running 3+ years) are ALL high-production.

So their testing shows this works for them.

But there's a gap:

Their fastest-growing category is activewear.
They're pushing it hard with partnership ads.
Activewear lends itself to organic, UGC-style content naturally.

The Play:

Partnership ads are working. Activewear is growing. But they haven't tested low-fi content in this specific vertical.

That's the white space.

If you're running partnership ads but keeping everything polished and produced...

You're leaving engagement on the table.

The best partnership content feels native to the platform.

Not like an ad that happens to feature someone else.

Test organic formats in your fastest-growing categories first.

That's where audience receptiveness is highest.

We ask this in almost every interview:

"What is a good offer?"

Almost no one gets it right.

Here's the framework:
A good offer creates a value discrepancy in the market.

From your perspective as the seller:
Offer Quality = Perceived Value - Your Actual Costs

You want customers to think your product is worth WAY more than it costs you to deliver.

Example: Customer thinks: "This must cost $200 to make" Your actual cost: $40 Selling price: $100

That gap? That's your margin opportunity.

But here's where it gets interesting:
Customers are running the OPPOSITE equation in their heads.

From the buyer's perspective:
Offer Quality = What It Costs You - What I'm Paying

They want to believe you're selling close to cost.

That you're barely making margin.

That they're getting an incredible deal.

This is why 50% off Black Friday sales work so well:

Customer logic: "These normally sell for $100, now they're $50" "The cost to make these didn't just drop in half" "This is an amazing deal"

Demand goes up.

But as a seller? You just torched your margin.

The equation shrinks for you even as it grows for them.

So what's a GOOD offer that works for both sides?

A reframing of value where the consumer believes they're getting enormous value, but your COGS remain low.

An example:

Free sample packs at cost of shipping.

Customer pays $7 shipping. Gets $20+ worth of samples. Feels like they're getting it free.

But that $7 covers your COGS AND your CAC.

You're break-even on acquisition. 

All profit comes from purchase 2 and 3. 

You've maximised perceived value without sacrificing margin.

The principle:

Stop competing on price.
Start engineering perception.

The best offers make customers feel like they're stealing from you...

While you're actually widening your margins.

How we scaled "unscalable" outbound to 120 clients.

Four years ago, we made custom Loom videos for prospects.

Walked through their website, ads, and gave specific recommendations.

Worked great. But we could only make 10 per day.

So we hired a team.

Conversion rates tanked immediately.

Our faces weren't on the videos anymore.

The fix:

1. Scripted every recommendation
2. Recorded our voice and face for each one
3. Editors superimposed our recordings onto prospect footage

Now it looked personal. But the team did the work.

We ramped to 120 videos per day.

Here's what broke at each stage:

Hit 20/day → conversion dropped
- Fixed: Hired better prospectors

Hit 50/day → no new clients
- Fixed: Hired SDRs to call and get videos watched

Hit 80/day → ran out of editors
- Fixed: Hired full-time editors, recorded at 2x speed

Hit 100/day → too complex to manage
- Fixed: Hired outbound manager

The pattern:

Push the system until it breaks.
Find the bottleneck.
Fix it.
Repeat.

This is how you scale anything:
- Paid ads
- Content production
- Outbound systems
- Operations

People said custom videos with 20+ recommendations weren't scalable.

We proved them wrong.

Key lesson:

You can scale the unscalable.

Just identify what's restricting growth and solve that specific constraint.

Ask yourself right now:

What's the one thing stopping me from doubling output?

Then go fix it.

VSL ads in eCommerce are the opportunity right now.

I've seen a VSL recently hit $360K in total spend (one asset).

Here's their structure:
1. Hook with education (not product)
2. Problem agitate 
3. Mechanism explanation (why it works)
4. Objection handling (why past solutions failed)
5. Product proof (UGC, testimonials)
6. Risk reversal (guarantee)
7. Simple CTA

Why this works:
- Feels educational, not salesy
- Removes doubt in specific order
- Pre-qualifies buyers before landing page

I did a full video breaking down exactly how to make a VSL that can hold $100k+ in ad spend. Linked in comments below.

Birthday sales are an easy way to create a spike without feeling salesy. Time them right and they can bridge the quiet months without hurting the brand.

Three things stop creatives from fatiguing...

IM8 did $100M in under 11 months.

80% of their first-time customers are on subscription.

Sounds like the dream, right?

Wrong.

Here's why copying this strategy could destroy your business:

What IM8 Does:

Subscription is the DEFAULT option.
Save 30% messaging everywhere.
One-time purchase? Hidden on a separate page.

I bought their product to test the funnel.

I didn't even realise one-time was an option until I went looking for it.

The Subscription Trap:

Most founders think: "If we get more people on subscription, we'll have higher LTV. Then we can pay more to acquire customers. This is the key to scale."

The math seems obvious.

But here's what the data actually shows:

Your CAC on subscription customers is MUCH higher.

Yes, LTV goes up when you force subscriptions.

But your cost to acquire those customers skyrockets.

And the equation breaks.

What You Should Actually Track:

Don't just look at LTV.

Look at CAC to LTGP (Lifetime Gross Profit within 365 days).

Run this for BOTH scenarios:
→ CAC for one-time purchases
→ CAC for subscription customers

Then compare:
→ Which has better CAC to LTGP ratio?
→ Where's the actual arbitrage?

The Reality:

In 90% of cases I've analysed...

You're better off acquiring one-time customers.

Yes, they have slightly lower LTGP.
Yes, they're not "as high quality."

But you can acquire them SO much cheaper that the arbitrage is better.

Before You Go Subscription-Only:

Test both funnels side by side.

Measure actual CAC (not assumed).

Calculate the 365-day gross profit for each.

Compare the ratios.

If your subscription CAC is 2.5x higher but LTV is only 1.8x higher?

You're losing money on every "premium" customer.

The Framework:

1. Run split traffic: 50% subscription-default, 50% one-time-default
2. Track CAC for each cohort separately (not blended)
3. Measure LT GP at 90, 180, and 365 days
4. Calculate the CAC to LTGP ratio for both
5. Scale whichever has better unit economics

Subscriptions don't save struggling businesses.

Better margins do.

Know your numbers before you commit to a model that might be bleeding you dry.

Traffic campaigns feel cheap, but they are cheap for a reason...

Paid ads is for acquisition.

Not retention.

Here's why:

At least 70% of returning customer revenue comes from:
- Email
- SMS
- Direct traffic
- Social (organic)

Your most loyal customers return to your website naturally to see new product drops.

They don't need ads to come back.

This is where most brands get confused.

They measure paid ads against total revenue.

That's fundamentally wrong.

Paid ads don't drive all your revenue.

They drive new customer revenue.

The metrics shift:

Instead of MER (total revenue / total ad spend)

Use Acquisition MER (new customer revenue / ad spend).

This applies to every metric:
- ROAS → new customer ROAS
- CPA → new customer CPA
- Profit contribution → new customer profit

Everything should be measured against acquisition only.

Example:

If you're spending £100K on ads and generating £400K in total revenue, your MER is 4x.

But if only £250K came from new customers, your actual acquisition MER is 2.5x.

That's a massive difference in how you should be evaluating performance.

Caveats:

Fashion brands are different.

High product drop rates mean you need some retention spend.

But for most businesses?

You're spending way too much on retention through paid ads.

Focus retention efforts on:
1. Email flows and campaigns
2. SMS campaigns
3. Loyalty programs
4. Organic social

Focus paid ads on:
1. Acquiring new customers
2. Testing new audiences
3. Scaling what works

Stop conflating the two.

Measure them separately.

Optimize them separately.

Creative is everything in 2026, but most training doesn’t teach you how to actually make a good ad...

Recessions consolidate to the top.

Great businesses thrive.

Weak ones collapse.

We're seeing this play out right now.

Ad accounts that were crushing 2 years ago with zero fundamentals are struggling.

No creative strategy.
No retention systems.
Just cranking Meta budgets and hoping for the best.

It worked when CPMs were cheap and demand was high.

Now those brands are hitting £10M/year and falling apart.

Here's what's breaking:

Their MER is dropping.

They audited their business and realized:
- No retention system in place
- Terrible cohort lift after acquisition
- Creative thrown in randomly with no strategy
- Heavy discounting to spike revenue

Now their entire customer base only buys on discount.

Margins squeezed from 70% to 40%.

All of this compounds.

The brands that survive recessions are the ones that built on fundamentals:

1. Strong unit economics
Contribution margins above 60%.
Can afford to acquire customers profitably at scale.

2. Retention systems
Email flows, SMS, subscriptions, loyalty programs.
Not just hoping people come back.

3. Strategic creative production
Angle testing, offer testing, message-market fit.
Not random UGC hoping something sticks.

4. Pricing discipline
No training customers into discount dependency.
Promotions are strategic, not desperate.

When times are easy, bad strategy gets rewarded.

When the market tightens, fundamentals win.

If your growth is built on "just spend more on Meta"...

You're in trouble.

Fix your fundamentals before the market forces you to.

Third-party attribution tools aren't that helpful.

Here's why:

Attribution is unknowable.

These tools try to identify the first click that leads to a purchase.

But they don't pull you back far enough in the journey to reliably show where spend should go.

So why do people think they're amazing?

Because their platform setup is wrong in the first place.

Third-party tools just expose the flaws in your account structure.

Example 1: Meta attribution

You log into Triple Whale.

Meta says 5x ROAS.
Triple Whale says 3x ROAS.

Suddenly you have clarity: "That's why we can't scale past 3x on incremental spend."

But you didn't need Triple Whale to tell you this.

The issue?

Your Meta attribution is set to 7-day click + 1-day view.

You're getting massive overattribution from view-through conversions right before purchase.

The fix:

Change campaigns to 7-day click only.

Or just check the attribution breakdown in Meta for 7-day click ROAS.

Problem solved. No third-party tool needed.

Example 2: Google attribution

Google shows 10x ROAS in-platform.

Your third-party tool shows 4x ROAS.

People think: "This tool revealed Google isn't performing well."

The real issue?

Brand campaigns and existing customers are sitting in your PMAX and shopping campaigns.

They're inflating your ROAS.

The fix:

1. Segment brand campaigns properly
2. Exclude existing customers from PMAX
3. Structure campaigns correctly

Numbers will match up. No third-party tool needed.

What third-party tools actually do:

They highlight problems in your account structure.

But they don't solve them.

You still need to fix:
- Attribution windows
- Campaign segmentation
- Audience exclusions
- Account structure

If your setup is clean, platform data is reliable enough.

Stop relying on tools to tell you what your account structure should already show.

Fix the fundamentals first.

High repeat rate ≠ profitable product.

Here's what to track instead:

The Problem:

Most brands look at repeat purchase rates by product and think they've found their winners.

Product A: 17% repeat rate → "This is our hero product!"
Product B: 12% repeat rate → "Deprioritise this one"

But repeat rate alone is meaningless.

What You Should Actually Measure:

Contribution margin lift.

Not just "do they come back?"

But "how much more profit do we make when they do?"

The Framework:

Step 1: Calculate first-time customer contribution margin by product

Step 2: Calculate lifetime contribution margin by product (track 365 days)

Step 3: Find the dollar lift between the two

Step 4: Rank products by margin lift, not repeat rate

Here's Why This Matters:

Let's say you have two products:

Product A:
- 17% repeat rate (looks amazing)
- First purchase GP: $20
- Lifetime contribution margin: $35
- Lift: $15

Product B:
- 12% repeat rate (looks mediocre)
- First purchase GP: $35
- Lifetime contribution margin: $80
- Lift: $45

You'd think Product A is the winner.

But Product B is generating 3x more profit per customer over their lifetime.

That's where you should be aggressive on acquisition.

How To Apply This:

Once you know your contribution margin lift by product:

Adjust your acceptable CAC (Cost to Acquire A Customer) accordingly.

Product with $15 lifetime lift → Cap CPP at $40
Product with $45 lifetime lift → Push CPP to $50+

You can afford to pay more upfront for customers who generate more profit long-term.

The Key Metric:

Stop optimising for repeat rate.

Start optimising for contribution margin lift.

Repeat rate tells you if customers come back.

Margin lift tells you if it's worth acquiring them in the first place.

Why Most Brands Miss This:

Shopify doesn't make this analysis easy.

You need to build your own model that tracks:
- Product-level contribution margins
- First purchase vs lifetime margins
- Repeat rates tied to entry products
- Dollar lift, not just percentage lift

But once you have it?

You'll know exactly which products to scale and which to pause.

The metric that matters isn't how often they buy.

It's how much profit they generate when they do.

A marketing win that does not show up in the P&L is not a win.

Account simplification has gone too far.

Some people are advising brands to run just one Meta campaign.

Terrible advice.

Here's why you need structure:

1. New vs returning customer isolation

Without segmentation, Meta juggles budgets however it wants between these groups.

The result?

Way too much spend on returning customers.

You're paying to remarket to people who would've bought anyway.

You need separate campaigns to control this split.

2. Geo segmentation

If you don't segment by region, you can't:
- Balance sell-through rates across markets
- Manage different 3PLs effectively
- Allocate spend to hit regional revenue targets

One campaign means Meta decides where your budget goes.

Not you.

3. Structured testing

You need structure to run conclusive tests.

Without it, you can't:
- Isolate variables
- Draw clear conclusions
- Inform future decisions

One campaign with everything thrown in = zero learnings.

4. Product margin profiles

Meta doesn't know your gross margins.

It will push whatever converts easiest.

Often that's your lowest AOV product with the worst margins.

If you optimize for "maximize conversions" (the default), Meta will drive you towards the worst profit contribution.

You need campaign structure to prioritize high-margin products.

The fix:

Build structure around:
- New vs returning customers
- Geographic regions
- Product margin tiers
- Testing frameworks

Account simplification is good.

Oversimplification kills profitability.

Don't confuse the two.

Your Facebook ads aren't performing as well as you think...

How we forecast eComm revenue (quantitative + qualitative).

Most forecasts fail because they're purely backward-looking.

Here's our approach:

Layer 1: Quantitative forecast

Two sides:

1. Returning customer revenue (highly predictable)
2. New customer revenue (larger error bars)

For new customer revenue:

Look at every day for the last 2-3 years.

Plot daily efficiency (return on spend) on a graph.

It looks like an exponential line going down.

The more you spend, the lower the return.

Run a logarithmic regression through that data.

This finds the optimal spend level for each month historically.

Now you have a baseline: "If August happened again like the last 3 years, what should we spend?"

The problem:

The future is never the past.

Every model will be wrong.

Layer 2: Qualitative adjustments (human input)

Example adjustments:

"In August last year, we were out of stock in core products. We need to add $100K in revenue to account for that."

"We're launching a new activation. We expect it to hold an extra $10K in spend at X efficiency."

"Black Friday creative tested well. We'll scale 20% harder than historical baseline."

Layer marketing events on top of the baseline forecast.

Why this matters:

Without the qualitative layer, you end up with vague targets like "$2M revenue, $100K spend."

If it doesn't work, you can't diagnose why.

With layered forecasting:

You can say: "We expected $300K from that product launch and it only generated $150K."

Now you have learnings.

You know where to adjust spend allocation going forward.

How to implement this:

1. Pull 2-3 years of daily spend and efficiency data
2. Plot it (spend vs ROAS or spend vs revenue)
3. Run a logarithmic regression to find optimal spend per month
4. Overlay qualitative adjustments (stock levels, launches, activations, seasonal factors)
5. Hold accountability to both revenue expectation and spend allocation
6. Review post-period and refine the model

This gives you:
- A data-driven baseline
- Context for anomalies
- Clear accountability
- Learnings that compound over time

Stop guessing at forecasts.

Build a model that learns.

Alo yoga is absolutely crushing it on Meta...

The goal of ads isn't the highest ROAS possible.

That's how you kill growth.

Instead, focus on maximizing contribution profit.

You're thinking: "Aren't those the same thing?"

No. And here's why it matters:

ROAS relies on attribution.

Contribution profit is tied directly to cash.

The best operators see reality clearly.

When your metrics sit closer to reality (cash, profit), you get:
- Better feedback cycles
- Sharper decisions
- Campaigns that actually move the needle

If you're optimizing for the highest ROAS in Meta or Google...

You're operating further from reality.

Further from your P&L.

Here's the shift:

Bridge your metrics closer to what actually matters.

When you launch a new test or optimize a campaign, you need to know it's impacting the thing you care about.

Simple question:

Would you rather have:
- 50x ROAS but make no money
- 2x ROAS but make £5M in profit

You'd choose the second every time.

So why are you still optimizing for the first?

How to fix it:

1. Calculate contribution profit per order (revenue - COGS - ad spend - shipping - fees)
2. Set this as your north star metric (not ROAS)
3. Build your dashboards around profit, not attributed revenue
4. Optimize campaigns for maximum profit dollars, not maximum ROAS
5. Test new channels and creatives against profit impact, not efficiency ratios

Stop chasing vanity metrics.

Start chasing cash.

CRO To Make Your Bank Account Dance 🕺🏼 | Scaling D2C Brands | $30 Million In Incremental Revenue Added Through CRO | 400+ Websites/Landing Pages Average CVR 5.37% | Co-Founder @ Solvexmedia | We Are Hiring |

Looking to lower your customer acquisition cost and supercharge your sales?

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5 Million In Spend - 30 Million In Tracked Revenue - 6x ROAS ( Hit me up for the proof ) 

We can help you: 
💠 Build a website that CONVERTS like CRAZY
💠 Run Facebook™ Ad Campaigns advertising that generates a POSITIVE ROI
💠 Email & SMS that opens a floodgate of REPEAT PURCHASES
💠 Funnel creation - Taking someone from UNAWARE to a RAVING FAN
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Who we work with: 

👔 Online eCommerce entrepreneurs who want to scale fast. Whether you’re just starting out or already have a 7-figure business, I’ll work with you to create a custom plan to hit your goals. 
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𝐑𝐞𝐚𝐬𝐨𝐧 𝐛𝐞𝐡𝐢𝐧𝐝 𝐭𝐡𝐞 𝐫𝐞𝐬𝐮𝐥𝐭: 


Working at Deloitte gave me direct exposure to Fortune 500 companies looking to diversify their marketing efforts into digital. My three years there consisted of handling ad-spend budgets in excess of $1,000,000 a month all while generating a positive ROI and meeting all KPIs.  

Got tired of corporate, decided to use the skillset I had to build a few ecom brands, made some money (two exits), then had some fun. 

Now back running the show at one of the fastest-growing growth agencies, Solvexmedia. With the goal of passing forth the knowledge, skills, and experience I have acquired by being in the trenches, getting my teeth kicked in, and learning the hard way.

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𝐀𝐫𝐞 𝐲𝐨𝐮 𝐫𝐞𝐚𝐝𝐲 𝐭𝐨:

🔥 Have the processes and systems you need to have in place to facilitate incredible growth and mind-blowing valuations?
🔥 Have the resources, marketing and strategic guidance you need to navigate your way to the next major revenue milestone in your business?
🔥 Have the framework for incredible business valuations, multiples and exits?

𝐓𝐡𝐞𝐧 l𝐞𝐭’𝐬 𝐭𝐚𝐥𝐤!

🤙 Message me here or email kam@solvexmedia.com

Kam Hossieny

Last Black Friday nearly broke me.

Not because sales were bad.

Because they were TOO GOOD.

$37,426 in revenue.
342 orders.

My best day ever.

Then January hit...

"CHARGEBACK DISPUTE: Order #1294"
"CHARGEBACK DISPUTE: Order #1301"
"CHARGEBACK DISPUTE: Order #1358"

One after another.
Like dominoes falling.

I didn't understand what was happening until I analyzed the patterns:

Orders slightly above my average ($110-150)
All paid with different credit cards
All shipped to freight forwarders

Professional fraudsters had targeted my store.

In desperation, I called a Shopify expert who asked:

"Are you using Shopify Protect?"

That conversation saved my business.

I discovered a completely free fraud protection system built directly into Shopify that:

➜ Automatically identifies high-risk orders
➜ Covers 100% of eligible fraudulent chargebacks
➜ Reimburses even the chargeback fees

The banking executive I spoke with admitted:

"Most merchants lose 5-10% of holiday revenue to sophisticated fraud rings."

🛡️ I've documented exactly how to activate and maximize Shopify Protect.

Want it?

Comment "SHIELD" below.
You'll receive:

Step-by-step Shopify Protect activation guide
====
Graphic inspo
Visual: A Shopify Protect dashboard screenshot + a red “CHARGEBACK ALERT” stamp

Text: STOP CHARGEBACKS BEFORE THEY DESTROY YOUR PROFITS”
“Comment ‘SHIELD’ below to get my step-by-step Shopify Protect guide!”

undefined undefined

solvexmedia

A story about how a 30-minute hack transformed an entire marketing strategy.
Last quarter, I was working with an e-commerce brand bleeding subscribers. 
Their opt-in rates were DEAD
(averaging a pathetic 2.3%)
Then we deployed the most controversial conversion tactic: 
👉 The *urgency* timer

Here's exactly what happened:
Before Timer:
Opt-in rate: 2.3%
Subscribers/Month: 437
Revenue impact: Minimal

After Timer: ⏱️
Opt-in rate: 7.6%
Subscribers/Month: 1,892
Revenue impact: +$47,300/month

Why does this work?
Two simple reasons:
1. Humans are wired to avoid LOSING something
2. Scarcity triggers immediate action

Most marketers are leaving MASSIVE money on the table by not understanding psychological triggers.

🎁: I'm releasing my EXACT Standard Operating Procedure (SOP 263) for implementing conversion timers.

How to get it:
Comment "TIMER" below
I'll send the full step-by-step SOP

I was sitting in a coffee shop when an e-com founder broke down in frustration.

"I've tried everything," she said. 

"Ads, influencers, redesigns—nothing works."


If this feels like you, you are playing a losing game. 

You're burning money because you don’t see the invisible battlefield of conversion optimization.

Let me show you what’s really happening behind the scenes:

Most founders don't realize:

- Your conversion rate isn’t just a number—it’s the heartbeat of your business.
- It’s driven by customer psychology, not just design tweaks.
- Every 0.1% life matters MORE than you think

Meaning:

❌ More traffic isn’t the answer.
✅ Higher conversion rates are.

Think about it—if your store is leaking sales, sending more traffic is like pouring water into a leaky bucket. 

Fix the leak first.

Here’s how a small conversion lift changes everything:

1) Starting Point:

Conversion Rate: 2%
Sessions per Month: 32,600
Average Order Value: $120

2) Optimized Potential:

Conversion Rate: 2.90%
Additional Monthly Revenue: $19,560

(that’s a brand-new Tesla every single month 🚗)

In just 1 year...

Total additional revenue is $234,720 📈 

(a free revenue stream you’re leaving on the table 😔)


I’m giving away my best-kept CRO tools to help you stop burning money:

What's inside?

- Advanced A/B Testing Calculator

How to claim:
1. Like this post
2. Comment your biggest conversion nightmare
3. Tag an e-commerce founder who needs this

Last summer, I noticed a terrifying trend:

"Sorry, I forgot I had items in my cart."

This message kept popping up in our abandoned cart emails.

It wasn’t that people didn’t want our candy—it was that they got distracted and never came back.

Here’s how we fixed it. 👇🍬

Instead of panicking, I got curious.

I personally reached out to 132 abandoned cart customers.

🙅♂️ Not with automated emails.
🙅♂️ Not with discount codes.

But with genuine questions about why they left.

Their responses revealed the truth:

41% simply "forgot"
27% were comparison shopping
18% got distracted mid-purchase
14% had payment concerns

What did I realize? 

Most weren't saying "no" - they were saying "not yet."

So I built a system.

A simple Shopify abandoned cart setup that felt personal, not pushy.

Results after 60 days:

43% recovery rate (industry average: 10%)
$22,483 in recovered revenue
Customer loyalty scores up 28%

🎁 I'm sharing my exact Shopify abandoned cart recovery SOP.

Want it?

Comment "REMEMBER ME" below.

You'll receive:
5-minute Shopify setup guide

Stop losing customers who already decided to buy once.

One simple way to:
🤑 increase CTR from 2.50% to 2.70%
🤑 boost Add to Cart from 10% to 12%
🤑 reduce Cost per Purchase by $8.53

Here’s the $3.1 million secret most e-com founders never realize

"I'm spending $100K on ads monthly, but I'm barely breaking even."
Sound familiar?

Most founders see advertising as a cost. 
I see it as a strategic chess game.

Here's how I did it:
“THE MICRO-CONVERSION MULTIPLIER METHOD”

Step 1: Creative Refresh Strategy
- Rotate ad creatives every 72 hours
- Use 3 variations per ad set
- A/B test visual vs. video content
- Implement scroll-stopping hooks in first 3 seconds

Step 2: Targeting Refinement
- Narrow audience by:
 * Purchase behavior
 * Detailed interests
 * Lookalike audiences (1-3%)
- Remove underperforming audiences weekly

Step 3: Landing Page Optimization
- Reduce page load time under 2 seconds
- Create clear value proposition above the fold
- Add social proof (reviews, testimonials)
- Implement urgency triggers
- Optimize mobile experience

Step 4: Conversion Path Breakdown
- Simplify checkout process
- Reduce form fields by 40%
- Add multiple payment options
- Implement trust badges
- Create exit-intent popups

My clients results after implementing this to their sites:
✅ CTR Increase: +0.20%
✅ Add to Cart: +2%
✅ Cost per Purchase: -$8.53
💰 Revenue Impact: $60K additional monthly

And you can too!

🎁 Get my "E-commerce Profit Detonator"

What you'll get:
- Funnel Performance Master Spreadsheet

How to get yours:
1. Like this post
2. Comment your biggest revenue roadblock
3. Tag an e-com founder who needs this

Will send you thru PM ;)

That drop at the end? 
It made us $155,558 in 10 days 🔥📈
What looks like failure actually revealed our biggest opportunity.
The 10-day journey that changed how I view sales data forever...

Day 1-8: Steady sailing
~$20K daily revenue
3,615 orders flowing
5.76% conversion rate

Nothing exciting, right?
Then February 9th hit. The graph took a nosedive. 
Most managers would panic.
But here's what everyone missed:
Despite the drop, we were UP:

• Sales: +62% vs last month
• Orders: +42% growth
• Conversions: +9% higher


That "scary" drop? 
It came after we RAISED prices.

The result?
Lower volume BUT higher profits.

Before: Lots of small orders
After: Fewer but bigger purchases

What we discovered were our power days:
Early month = High volume
Mid-month = Steady performance
End period = Quality buyers

BUT the most shocking part?
This pattern repeated for 3 months straight.

Bonus:
Here’s our 3-action plan that worked:
1) Focused ads on high-value days
2) Adjusted inventory for pattern
3) Matched support staff to peak times

Results:
$155K+ revenue
62% growth
A happier team

P.S. Next time your graph dips, look closer. 
The story might surprise you.

I once spoke with an ecom founder who spent $100,000 on ads every month.
His conversion rate? 1.89%.
His operating profit? Barely $20K.

He thought he had a traffic problem.
He actually had a conversion problem.

The biggest mistake? 
👉 Focusing only on top-of-funnel traffic while ignoring the leaks in the funnel.

Here’s what happens when you fix your funnel instead of just spending more on ads:

By making small BUT strategic changes:
✅ Increasing CTR from 2.5% → 2.7%
✅ Boosting Add-to-Cart rate from 10% → 12%
✅ Improving Cost Per Purchase from $37 → $28

Revenue jumped from $2.4M to $3.1M per year.
Profit skyrocketed from $20K to $382K.

All without increasing ad spend. 😉

Want to see how small improvements add up?

I’m giving away my Ecom Funnel Performance Calculator (normally paid) for FREE. 🎁

📩 Comment “ecom” below, and I’ll send it to you.

This spreadsheet will show you EXACTLY where your store is leaking money and how to fix it.

Why Gordon Ramsay would HATE HelloFresh 

If Gordon Ramsay reviewed HelloFresh, he’d probably call it:

❌ "Lazy cooking"
❌ "No real skill involved"
❌ "Pre-measured ingredients? Are you joking?"

And you know what? 

He’d be right.

But that’s exactly why HelloFresh is a marketing genius.

A year ago, I tried HelloFresh out of curiosity.

I was expecting high-end, restaurant-quality meals. 

Instead, I got:

✅ Pre-chopped veggies
✅ Step-by-step instructions
✅ Foolproof cooking

It wasn’t "real" cooking. 

It was cooking for people who don’t want to cook.

And that’s where HelloFresh wins.

They didn’t market to chefs. 

They marketed to busy people.

Their website, ads, and messaging make it stupidly clear:

✔️ No meal planning
✔️ No grocery runs
✔️ No thinking—just follow the steps

If they tried to impress food snobs, they would’ve failed. 

Instead, they focused on the people who just want good food without the effort.

Most brands make the mistake of trying to please everyone.

HelloFresh? 

They embraced the criticism and leaned into their audience.

Ramsay would hate it. 

But their customers love it.

And that’s why they win.

Why professional dog trainers HATE this subscription box

A friend of mine is a professional dog trainer.
When I mentioned a certain wildly popular dog subscription box, he rolled his eyes.

❌ "It’s ruining dog training."
❌ "People are rewarding bad behavior."
❌ "They’re just stuffing random toys and treats in a box!"

And honestly? 
He’s not wrong.
But that’s exactly why this brand is a marketing god.
I looked into it. 

Their entire pitch is:
✔️ Surprise toys & treats every month
✔️ Personalized for your dog’s size & chewing habits
✔️ Hassle-free, delivered to your door

Notice what’s missing?
❌ No mention of training
❌ No talk about behavior correction
❌ Nothing about discipline

Because their audience isn’t full of professional trainers. 
It’s dog owners who just want to spoil their pets.

This is where most brands mess up.
They try to be "technically correct" instead of speaking to what their audience actually wants.
This brand knows its customers don’t care about strict training guidelines. 
They just want their dog to be happy.
And that’s why it works.

The experts might hate it. 
But the customers? 
They can’t get enough. 
=== 
Graphics inspo:

Concept: A mock customer review screen with extreme reactions.

Trainer Review: “Bad for discipline. Ruining dog behavior.” ❌
Customer Review: “My dog goes NUTS when this arrives!” ✅

Text: “Experts hate it. Customers can’t get enough.”

Why IKEA Executives lose sleep Chairish’s genius strategy

A few weeks ago, I was looking for a new chair.

I checked IKEA first—affordable, modern, easy to find.

But something felt... off.

Every piece looked the same.

Mass-produced. 
Generic. 
Lacking personality.

Then I stumbled upon Chairish.

And suddenly, I wasn’t just shopping for a chair.

I was looking at one-of-a-kind pieces with character, history, and craftsmanship.

This is why Chairish keeps IKEA executives up at night.

IKEA sells affordability and convenience.

BUT Chairish sells exclusivity and storytelling

(something no flat-pack furniture can compete with)

Their secret?

✔️ A marketplace of vintage & designer furniture
✔️ Limited availability (scarcity = desire)
✔️ A brand that makes furniture feel like an investment, not an impulse buy

Most brands race to the bottom on price.

Chairish flipped the script.

They made people crave uniqueness instead of settling for mass-produced.

They turned furniture shopping into treasure hunting.

And that’s why they’re converting like crazy.

That notification still makes my stomach drop:

"CHARGEBACK NOTICE: Transaction #47293"

Three years ago, I woke up to 7 of these.

My biggest sales day ever...

Completely wiped out.

I called my mom in tears.

"We can't pay rent this month."

Then a fellow store owner messaged me:

"Have you activated Shopify Protect yet?"

I hadn't even heard of it.

15 minutes later, everything changed:

6 of 7 chargebacks covered
$12,764 reimbursed
My business saved

The craziest part?

This protection was sitting in my Shopify dashboard THE ENTIRE TIME.

Free.
Unused.
Hidden in plain sight.

Most store owners have no idea it exists.

Today, I get chargebacks like everyone else. 

But I haven't paid for a fraudulent one in 2 years.

🎁 I've created a complete step-by-step SOP for activating and maximizing Shopify Protect.

Want it?

Comment "PROTECT" below.

You'll receive:

My 15-minute setup guide
The exact timeline to ensure protection

Don't lose your hard-earned profits to fraudsters.

I failed 3 times before I cracked the e-commerce profit code. 
Here's what most "gurus" won't tell you:
Your conversion problem isn't about traffic. 
It's about TRUST.
In my last 5 years working with 47 e-commerce brands, I've discovered a pattern that separates 7-figure stores from struggling shops:

Most founders think customers buy products. 
WRONG.

Customers buy:
➜ Solved problems
➜ Emotional relief
➜ Identity validation
➜ Social proof
➜ Perceived value

Here’s my “Trust Conversion” Framework:
1) Prove you understand their EXACT problem
2) Show tangible results (not just promises)
3) Remove ALL purchase friction
4) Create a narrative bigger than the product

Perfect example was:
How we took a fitness supplement brand from $50K to $387K monthly by redesigning ONE landing page.

To reduced checkout steps by 62%, we:
- added real customer video testimonials
- created risk-reversal guarantee
- simplified product value proposition

🎁 I'm giving away my EXACT e-com funnel optimization spreadsheet that breaks down every conversion metric.

How to get it:
Comment "SCALE"
I'll drop the Google Sheet link
Bonus: Walkthrough video explaining EACH metric

Who's serious about building a real business, not just another Shopify store? 👇

We made $1.4M by breaking every "expert" rule 🤭
That spike in December?
It wasn't Black Friday.
It wasn't a viral moment.
It wasn't even planned.

Here’s the story about how ignoring conventional wisdom led to our biggest breakthrough...
• $1.4M in sales
• 34,092 orders
• 6.16% conversion rate
• 83% growth

But here's what everyone missed:
Look at that December dip.
Traditional advice: "Panic and slash prices."
What we did: Nothing.

Here's why...
1. Every "dip" was followed by sustained growth
2. Our baseline kept rising.
3. Small steady spikes > Big, sudden spikes for long-term success.

We deliberately ignored what others were doing:
• Skipped the "peak" shopping days
• Avoided the major sales events.
• Focused on steady, sustainable growth.
• Built long-term patterns, not just short-term gains.

Marketing "experts" called us crazy.
Then the numbers proved us right.

What happened next?
While competitors saw a post-holiday crash, we saw:
• 30% increase in baseline
• 62% customer retention
• 40% decrease in refund rates

Stable growth beats viral moments.
Every. Single. Time.

Question for you:
When did going against "expert" advice actually work better for your business?

P.S. Next time someone tells you to "maximize peak seasons," show them this graph.

Last week, a first-time visitor landed on our client's store.
She almost left within 10 seconds.
Why? 
A popup jumped at her face the moment she arrived.

I see this mistake EVERYWHERE.
We immediately fixed their strategy:
- No popups for the first 20 seconds.
- Let visitors breathe. 
- Let them explore. 
- Let them get comfortable.

The results?

37% increase in signups. 
24% drop in bounce rate.
$14,300 more revenue last month alone. 💸

One tiny change. 
Massive impact.

I believe most stores get this wrong because they're too desperate for emails.

But here's what I know after ___ years in e-com:

Respect earns more subscribers than aggression.

🎁 I'm sharing our complete "E-commerce Conversion Toolkit" with 3 people this week.

You'll get:
- Our exact popup timing framework

To enter:
1. Like this post
2. Comment your biggest conversion headache
3. Tag a friend who needs better conversions

I'll announce the winners on (____Friday!)

Confession: I used to be the WORST popup creator.
My first e-commerce store? 
Visitors ran away faster than free samples disappear at Costco.
I was that marketer bombarding people with popups every single click. 
Desperate? Absolutely.
Then I learned the magic of strategic patience.
Here's the game-changing insight most marketers miss:
❌ Your popup isn't about YOU. 
✅ It's about THEM.
Imagine this: A visitor lands on your site. 
They're exploring, curious. 
You DON'T assault them with a signup form.
Instead, you wait. 
7 strategic days.
Why 7 days? 
Because people need space to fall in love.

The results shocked me (and my clients too):
- 42% higher engagement rates
- 3x more genuine email signups
- Visitors who actually WANT to hear from you

🎁 I'm dropping my complete "Pop-up Optimization Masterclass" 

What you'll get:
- Exact 7-day popup strategy blueprint

How to get yours:
1. Like this post
2. Comment your biggest popup fail
3. Tag a marketer who needs this wisdom

The day I discovered shopping could actually be fun
Endless scrolling. 
Frustrating clicks. 
Another boring online store?

Not Farfetch.

1) Navigation that finds your likes in one snap.
Farfetch understands how you shop:

- Crystal-clear categories

2) Curation
This isn't shopping. 
This is fashion storytelling.

- Every item is carefully selected by a trendy fashionista

3) Searchbar’s strategic placement in the top right corner makes it easily accessible.

4) Product pages that converts

What makes a great product page you ask?
- Stunning, high-res images
- Trusted brands (Simon Miller, Jacquemus)
- Transparent pricing
- Easy heart-save feature


Farfetch isn't just an online retail store.
It's a personalized fashion experience.
Retail, reinvented. 🔥

Brooklinen is not selling sheets. 
They’re selling eight hours of psychological freedom.

2 months ago, I needed new bedsheets.
I wasn’t looking for luxury. 
I wasn’t looking for high thread counts.

I just wanted something comfortable.
without spending hours comparing fabrics.

Then I saw Brooklinen’s tagline:
“The Internet's Favorite Sheets”

And suddenly, I was hooked.
💭 What makes them the favorite?
💭 Are they really that good?

I had to find out.

At that moment, I wasn’t just buying sheets.
I was buying better sleep, less stress, and pure comfort.

Brooklinen understands something most brands miss:
❌ People don’t buy products. 
✅ They buy better versions of themselves.

Their marketing doesn’t obsess over cotton blends or weave types.

They focus on what their customers actually want:
✔️ A peaceful night’s sleep
✔️ Stress-free comfort
✔️ A small luxury that feels like self-care

And that’s why they win.
Most brands focus on what they sell.
The best brands sell why it matters.

So, Brooklinen isn’t just selling sheets.
They’re selling the feeling of finally exhaling after a long day.

And that’s why people happily pay the premium.

I nearly shut down my business last January.

3 months of shrinking sales.
No clue why customers weren't buying.
44 sleepless nights wondering what went wrong.

Then my mom asked the question that saved everything:

"Why don't you just ask the people who put stuff in their shopping cart why they didn't buy it?"

I dove into Shopify's backend and discovered a feature hidden in plain sight: 

➜ Abandoned Cart Recovery.

The results shocked me:

• 67% of my shoppers were abandoning their carts
• $34,967 in products sitting in digital limbo
• All recoverable with a 5-minute setup

Most store owners never activate this feature because they don't know it exists.

Within 30 days of implementation:

• 31% recovery rate
• $10,840 in recovered revenue
• Zero additional ad spend

🎁 THE 5-MINUTE RECOVERY BLUEPRINT:

I've turned this game-changing discovery into a step-by-step SOP.

Want it?
Drop "RECOVER" in the comments.

You'll receive:
• My exact abandoned cart recovery setup
• Setup checklist to implement in 5 minutes flat

Last month, my best friend called me at 2 AM.

His voice was shaking.

"I just got hit with SEVENTEEN chargebacks in one week. I might lose everything."

As someone who has been deep in e-com for years, I knew exactly what was happening:

His store had been targeted by a sophisticated fraud ring. 😨

But instead of giving him the standard advice, 

I taught him my unusual "Blue Dot System."

Years ago, I developed a method to visually organize Shopify orders by protection status:

Blue dots = Protected orders
Red dots = At-risk orders
Yellow dots = Pending protection

Sounds simple, right?

What happened next shocked him:

⤷ He identified 43 high-risk orders before they shipped
⤷ Prevented $11,873 in potential chargebacks
⤷ Saved his entire Q1 profit margin

The method works because it transforms complex fraud data into ➜ a simple visual pattern our brains can instantly recognize.

Most store owners are overwhelmed by order management. 

They don't realize Shopify has built-in tools to PREDICT which orders might be fraudulent.

🛡️ I've documented my exact order filtering protocol in a step-by-step SOP.

Want it?

Comment "BLUE DOT" below.

You'll receive:
1. My complete order filtering SOP

The 10-minute morning ritual that saved my Shopify store $78,000

For 16 weeks straight, I started each day with the same ritual:

Coffee. 
Laptop. 
Shopify admin. 
Filter orders.

You see, after nearly losing my business to a devastating wave of chargebacks, I developed an obsession with order protection.

But it wasn't until I organized my approach that everything changed for the better.

The system was deceptively simple:

Morning: Filter orders by "Protection active" status
Afternoon: Prioritize fulfillment of protected orders
Evening: Review any "Not Protected" orders for red flags

The results?

98.7% protection rate across all orders
Zero successful fraudulent chargebacks in 9 months
$78,000 in potential losses prevented

What shocked me most?

This wasn't some expensive fraud tool.

It was built directly into Shopify.

Completely free.

Just hidden behind a few clicks.

I've watched countless fellow store owners struggle with chargebacks while this protection sat unused in their dashboard.

I've documented my exact daily order filtering routine in a simple SOP.

Want it?

Comment "FILTER" below.

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The Battle

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Engagements

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