f*ck it, zero to $10k/day facebook ads strategy (copy me)

SUMMARY

Andrew Yu, a dropshipping expert, breaks down his proven Facebook ads strategy for scaling a Shopify store from zero to $10K daily revenue in one week, emphasizing product fit, ad creatives, testing phases, and ROAS metrics over complex tactics.

STATEMENTS

Success in Facebook ads relies more on product offer, timing, and creatives than on any secret strategy, which is simple and public.
Common misconception: Scaling to high revenues requires complicated setups; in reality, accounts often run just three campaigns.
If the strategy fails, it's due to mismatched offer, poor product quality, bad timing, or ineffective ad creatives, not the strategy itself.
An offer must justify the price; for example, a $18 humidifier sold at $60-80 needs to solve a significant problem to feel valuable.
Customers aren't afraid to spend money but fear wasting it on unworthy products, so the product must align with perceived value.
No ad strategy can make a bad product profitable; timing matters, like avoiding outdated fads such as fidget spinners.
Ad creatives must convey premium quality and speak directly to customer pain points to drive sales.
Scaling ads is like driving a high-performance car: Without skills in offer and creatives, aggressive scaling leads to crashes.
Day zero setup: Launch an Advantage Shopping Campaign (ASC) or broad targeting at $100 daily budget for T3 countries (US, Canada, Australia) with 5-10 varied ad creatives starting at midnight.
Variations in creatives mean entirely new concepts, scripts, and content, not minor tweaks like changing hooks.
On day one, check at 11 a.m. after $30-40 spend: Kill if CPC exceeds $5 unless a sale unlocks ROAS evaluation.
High CPC like $5 limits profitability, yielding few visitors and sales even at optimal 10% conversion rates.
Once a sale occurs, focus solely on ROAS compared to break-even (calculated via tools like Dropship Toolkit based on costs).
If ROAS is below break-even but losses under $100, continue; kill only after $100 loss without improvement.
Day two: Identify outperforming ad creatives in the test, turn off underperformers, and concentrate budget on winners.
Scale budgets incrementally: $100 to $250, $500, $1K, etc., accepting risks of breakage for potential higher profits.
For ongoing scaling, maintain multiple scaling campaigns and allocate 10% budget to new testing campaigns with variations of winners.
In the case study, initial $100 spend yielded ROAS progression from 0.89 to 2.92, enabling rapid budget increases to hit $10K/day.
Testing campaigns aren't expected to profit immediately; their goal is to find viable ads for scaling.
At higher scales like $30K daily spend, testing budget reduces to $500-$1K, not a strict 10%.
Metrics like CPM, CTR, and CPC become irrelevant post-sale; ROAS is the sole profitability indicator for $10K/day goals.
If scaling breaks ROAS, downscale to previous stable budget before attempting further increases.
Success stories include student stores hitting $5K-$10K/day and personal accounts at $40K-$85K single days using this approach.

IDEAS

People overestimate the complexity of ad strategies while underestimating the foundational role of product-market fit in e-commerce success.
Budgeting $100 for one day of testing provides faster, more reliable data than stretching small amounts over weeks.
Launching ads at midnight leverages Facebook's full 24-hour learning phase, avoiding rushed spending on partial days.
A single sale in testing shifts focus from cost metrics to ROAS, recognizing early data as potentially anomalous.
Outliers in ad creatives reveal Facebook's implicit preferences, guiding efficient reallocation of spend.
Aggressive scaling risks short-term losses but prevents stagnation, mirroring high-stakes investments in growth.
10% of budget dedicated to continuous testing ensures ongoing innovation without overcommitting resources.
Perceived value transforms commodity products into high-margin offers by tying them to emotional or practical solutions.
Timing in product selection is as critical as quality, reviving or dooming trends based on market saturation.
Premium ad presentation can elevate simple products, bridging the gap between low cost and high perceived worth.
Break-even ROAS calculations empower precise profitability tracking, demystifying ad performance evaluation.
Multiple campaigns—scaling plus testing—create a pipeline for sustained growth beyond initial wins.
High CPC thresholds act as early warning systems, filtering out unviable tests before deeper investment.
Student successes validate the strategy's universality, from $0 to $10K/day across diverse stores.
ROAS margins of 20% above break-even signal safe scaling, prioritizing long-term viability over perfection.

INSIGHTS

True e-commerce scaling hinges on holistic preparation—offer, product, timing, and creatives—rendering ad tactics secondary to alignment with customer value.
Testing efficiency demands decisive data thresholds, like $100 losses, to minimize sunk costs while maximizing learning velocity.
Ad variations must innovate fundamentally to uncover algorithmic preferences, turning trial-and-error into targeted optimization.
Post-sale ROAS obsession simplifies decision-making, filtering noise from metrics that distract from revenue reality.
Risk-tolerant scaling fosters exponential growth, as conservative approaches cap potential at modest profits.
Continuous 10% testing allocation builds resilience, ensuring fresh creatives fuel scaling campaigns indefinitely.
Customer spending aversion stems from perceived worthlessness, not frugality, underscoring the need for problem-solving narratives in offers.
Outdated products underscore timing's leverage, where market windows dictate profitability more than creativity alone.
Budget increments reflect driver skill; unprepared stores crash under pressure, while tuned ones accelerate.
Break-even tools democratize profitability analysis, empowering solo operators to rival agency precision.
Campaign multiplicity diversifies revenue streams, mitigating single-ad dependency for robust $10K/day operations.
Early CPC checks safeguard against inefficiency, preserving capital for high-potential pursuits.

QUOTES

"There is no secret strategy. I'm actually going to go ahead and tell you my strategy today live so you can see that there's no secret strategy."
"People aren't scared to spend money, but they are scared of spending money on things that are not worth it."
"If you copy today's tutorial and try to scale your Facebook ads, my strategy right here, and you're not a good driver because you don't have all these things in check, you're not going to be profitable."
"Once I get that first sale, you now unlock a KPI called the rorowaz. And this is all I care about, the rorowaz."
"I'd rather not be profitable at $100 a day and risk not being more profitable. It's just not worth it for me to go ahead and stay at that level."
"Testing campaigns aren't meant to be profitable. Sometimes they are because of winning products. But if they're not profitable, I want you to go ahead and see what's actually profitable inside a testing campaign."
"All those metrics don't really matter. You can have a million dollar CBC, but if your rorowaz is more than your break even, then you should be good to go."
"If I didn't have these two testing campaigns, I've been missing out on 3K revenue, which is pretty much around like $500 profit."

HABITS

Launch all ad campaigns at 12 a.m. to ensure full 24-hour Facebook optimization cycles.
Check ad performance daily around 11 a.m. after initial morning spend to make timely adjustments.
Calculate break-even ROAS before testing using tools like Dropship Toolkit for every product.
Allocate 10% of total ad budget consistently to new testing campaigns for ongoing innovation.
Focus exclusively on ROAS after the first sale, ignoring secondary metrics like CPC or CTR.
Scale budgets incrementally by $100-$500 jumps, accepting breakage risks for growth potential.
Identify and isolate outperforming ad creatives on day two by reviewing spend and ROAS data.

FACTS

The strategy has generated $1.75 billion in student revenue, with single-day peaks at $85K.
T3 countries (US, Canada, Australia) yield higher success rates than UK or Europe in initial testing.
Average e-commerce conversion rates hover at 3-4%, rarely sustaining 10% at scale.
Break-even ROAS typically ranges from 1.4 to 1.6 for most dropshipping products after fulfillment.
A $5 CPC on $100 spend yields only 20 visitors, limiting sales potential without high AOV.
Fidget spinners, once viral, now exemplify poor timing, making profitability nearly impossible.
Three campaigns—two scaling, one testing—sufficed for the $10K/day case study milestone.

REFERENCES

Shopify for store building and sales tracking.
Facebook Ads Manager for campaign setup, monitoring ROAS, CPC, and spend.
AliExpress as product sourcing platform, e.g., humidifiers at $18 cost.
Dropship Toolkit for calculating break-even ROAS based on pricing and costs.
Advantage Shopping Campaign (ASC) as primary targeting method.
Whop.com/primecord/ for paid Discord community teaching.
Launchyour.store/copy for Shopify Store AI Tool.
Aibranded.store/andrew-yu-sec... for one-on-one mentoring calls.
T.me/andrewdropshipping for free private Telegram group.
Instagram @andrewdropshipping for following updates.

HOW TO APPLY

Prepare your store by selecting a product with strong offer alignment, ensuring price justifies value (e.g., $60-80 for a problem-solving humidifier) and sourcing from AliExpress.
Set up day zero testing: Create an ASC or broad campaign in Facebook Ads Manager with $100 daily budget, targeting US, Canada, Australia, and upload 5-10 fully varied ad creatives; schedule launch at 12 a.m.
On day one, monitor at 11 a.m. after $30-40 spend; kill if CPC >$5 without sales, or shift to ROAS evaluation if a sale occurs using Dropship Toolkit for break-even calculation.
For day two, analyze ad creatives for outliers; turn off underperformers (ROAS below break-even) and reallocate full $100 budget to the top performer.
Scale winners incrementally starting day three: Increase budget by $150-$500 (e.g., $100 to $250), maintaining 20% ROAS margin above break-even; launch new $100 testing campaign with variations of the winner.
Ongoing: Allocate 10% budget to testing new creatives similar to scalers; adjust by downscaling or killing if ROAS dips below break-even after $100 loss, repeating the cycle for sustained growth.

ONE-SENTENCE TAKEAWAY

Master product fit and ROAS-focused scaling to transform zero-revenue stores into $10K daily powerhouses via simple Facebook ads.

RECOMMENDATIONS

Prioritize products solving acute problems to justify premium pricing and boost perceived value.
Invest in $100 daily tests for rapid data over prolonged low-budget experiments to accelerate decisions.
Develop ad variations with new scripts, actors, and concepts to reveal Facebook's optimal delivery paths.
Embrace scaling risks early, as conservative budgets limit profits more than temporary dips.
Use ROAS as the sole post-sale metric to streamline analysis and focus on true profitability.
Maintain a 10% testing budget ratio to cultivate fresh ads, preventing scaling stagnation.
Target T3 countries first for reliable early traction before global expansion.
Calculate break-even ROAS meticulously for every product to guide kill/scale choices precisely.
Avoid over-relying on one campaign; diversify with multiple scalers and testers for resilience.
Seek one-on-one mentoring if setup overwhelms, leveraging proven $40K+ day strategies.

MEMO

Andrew Yu, a seasoned dropshipper who has mentored stores to $1.75 billion in collective revenue, demystifies the path from zero to $10,000 daily sales in a candid breakdown of his Facebook ads playbook. Far from a labyrinth of algorithms, his approach underscores that explosive growth stems not from arcane tactics but from foundational elements: a compelling product offer, impeccable timing, and creatives that resonate. "There is no secret strategy," Yu insists, revealing a method that propelled one store from nothing on August 10th to nearly $10K by week's end. He likens scaling to piloting an F1 car like a McLaren—thrilling, but disastrous without skill in the basics. Aspiring entrepreneurs often crash by ignoring this, plugging his blueprint into ill-suited products and wondering why profits evaporate.

At the core, Yu stresses offer integrity. Customers, he argues, aren't penny-pinchers but savvy avoiders of poor value. A $18 humidifier from AliExpress demands a $60-80 Shopify price tag after ad costs, viable only if it alleviates real pain, like congestion relief. Without such narrative heft, sales falter regardless of ad wizardry. Product quality and zeitgeist alignment amplify this; reviving a fidget spinner fad today courts failure, as trends' windows close swiftly. Creatives, too, must exude premium allure, transforming mundane items into must-haves through targeted storytelling. Yu's students scaling to $5K-$10K days embody this synergy, proving the strategy's robustness when prerequisites align.

Testing begins on "day zero" with a straightforward Advantage Shopping Campaign or broad targeting at $100 daily, confined to high-value T3 markets—U.S., Canada, Australia—for optimal early signals. Launch at midnight to harness Facebook's 24-hour rhythm, avoiding the pitfalls of partial-day squeezes that skew data. Upload 5-10 truly distinct creatives—new scripts, scenes, actors—not superficial tweaks. This isn't scattershot; it's calibrated experimentation to unearth winners amid the noise. By day one, after $30-40 spend, scan for cost-per-click under $5; exceed it without sales, and kill the test. A lone purchase unlocks return on ad spend (ROAS) as the north star, benchmarked against break-even figures (often 1.4-1.6) via simple tools like Dropship Toolkit.

Day two pivots to refinement: Sift creatives for ROAS outliers, culling losers to funnel budget toward standouts. If below break-even but shy of $100 loss, persist; full depletion without rebound warrants abandonment. Profitable signals—say, 2.3 ROAS—greenlight scaling: $100 to $250, then $500, embracing breakage as a growth rite. "I'd rather risk not being profitable at $100 a day," Yu says, prioritizing momentum over caution. Tertiary metrics like click-through rates fade; ROAS reigns for $10K goals. Allocate 10% of spend to fresh tests mimicking victors, birthing multiple scaling campaigns alongside perpetual probing.

In a real-time case study, Yu's store illustrates the arc: Day one's $100 yielded 0.89 ROAS ($89 back), a slim $25 net loss after fulfillment, justifying continuation. Day two surged to 2.92 ROAS, prompting a $200 bump that hit 2.57. Parallel tests filtered ruthlessly—one axed at $14 CPC, another nurtured at 1.5 ROAS. By day four, $1K spend netted 1.45 ROAS near break-even, stabilized by day's end at nearly 2.0. Aggressive jumps to $2K then $5K clinched 2.83 ROAS, culminating in a $10K day where testing campaigns added $3K revenue—$500 profit Yu deems indispensable for longevity.

This blueprint's elegance lies in its simplicity, scalable to $40K peaks Yu has achieved. Yet he cautions: Unprepared drivers spin out. For novices, one-on-one guidance—product hunting, store builds, ad orchestration—bridges gaps, as evidenced by mentees shattering records. In an era of e-commerce saturation, Yu's method reminds that technology amplifies human insight: Curate value, test rigorously, scale boldly. The $10K day isn't a lottery win but a engineered ascent, accessible to those who tune their machine right.