Real systems,
real growth.

A national nail-education brand selling certificate courses on weekly payment plans. Students finish the course months before the plan ends, and every missed payment, payoff request and certificate release was being handled by hand in Stripe.

Hundreds of students, dozens of plans billing at once, and no system connecting payments to course access. Missed payments slid through quietly, paid-up students waited on certificates, and the owner was the collections department.

• Deposit → plan automation: a deposit checkout auto-creates the weekly payment plan. No manual setup per student.
• Missed payment → pause: a failed payment pauses that student's course access and sends a branded email with a one-click pay button. Every settled miss to date has ended in payment, with repeat misses escalated for a personal call.
• Payment recovered → unlock: access restored the moment the payment lands, automatically.
• Finish-line payoff: a daily sweep spots students at their final module with a balance owing and offers the payoff, with the team clearing it in one click. Five figures of arrears now chase themselves.
• Plus the front end: Meta ads management with a weekly report, profitable from the first week, and AI-built ad creative.

A small, at-home ecommerce hat brand. Good product, but sales had completely stalled with no clear reason why: branding lacked clarity, traffic was inconsistent, and nothing produced reliable revenue.

No trust signals, no funnel, no system. Every sale was an accident, and the owner had no way of telling what was driving revenue and what was burning it.

• A simple, clean site: nothing fancy, just clear pages that let the product sell.
• AI product imagery: ultra-realistic product photography that rebuilt trust and became the ad creative.
• Ads running the sales: simple static ads built from the AI imagery, message clarity over complexity, managed against the numbers. That's it, no tricks.

From roughly $1k months to $10k months inside 90 days, holding 6x ROAS. Sales became consistent, spend became controlled, and growth stopped relying on guesswork.

An established equestrian brand with a big, loyal customer base and MakeItScale running Meta ads and email under ongoing monthly management. EOFY is their biggest sale window of the year, and the previous agency's version had been a plain discount blast.

A sale that big deserves anticipation, not an email on the morning it starts. No early-access mechanic, no list capture off the hype, and ads that were switched on cold. The revenue ceiling was the send button.

• VIP early access: a custom code-gated landing page and signup form. 1,600+ customers joined the VIP list before the sale opened.
• Wishlist mechanic: the store's cart became an "EOFY Wishlist" during the lock window, so buyers queued their order days before checkout opened.
• Six-email Klaviyo sequence: warm-up, VIP push, wishlist build-up, code reveal, one-hour-to-go, last chance. A six-figure haul from the sequence alone, roughly double the previous year's whole EOFY.
• Dedicated Meta campaign: product ad sets with kill / hold / scale rules, holding 5.5x ROAS through the sale window.
• Not a one-off. Afterpay Day 2026: a four-day sale, 110 orders at a $31 cost per purchase, with every ad dollar returning 3.4x in gross profit (judged on profit after product cost, not a ROAS screenshot). The losing ad set was switched off mid-week instead of riding on hope.
• Always-on management: ads run constantly year-round, with creative production and weekly reads on spend that has since scaled to roughly triple.

A new equestrian-luxe womenswear brand from a founder with a loyal photography audience. Everything a launch needs, built as one engagement: store, catalogue, email, imagery and ads. What a full build with MakeItScale includes:

• Shopify store rebuild: fixed a broken variant picker that was adding the wrong items to cart, built colour swatches and a product filter the theme never had, and rebuilt the cart UX.
• Catalogue surgery: 49 duplicate listings merged into real products with proper colour options (4 → 68 products with pickers), sizes standardised, retired listings redirected, and every unit of stock conserved.
• Pre-order system: per-size pre-order handling with clear Add to Bag / Pre-Order / Sold Out states, so nothing sells wrong.
• Email from zero: Klaviyo built from scratch, thousands of contacts cleaned and tiered into a compliant list, and a 19-email launch program written and shipped, best send hitting a 30% open rate.
• AI imagery + consulting: AI lifestyle shots for products that had none, campaign creative on demand, and ongoing AI consulting so the founder runs her own content engine.
• Meta ads: managed monthly on a deliberately lean budget, holding 3x ROAS with steady orders week after week, and seasonal campaign plans built around her calendar.

A golf training aid brand that had already paid a big agency for a launch that never fully landed: no sales, no direction. MakeItScale stepped in as the operator: audit what exists, rebuild what converts, and get ads live. In the first week of ads running, the store did 15 sales and USD $899. What the engagement includes:

• Conversion audit: the live store scored honestly, page by page, so every fix had a reason.
• Homepage + store rebuild: a conversion-first homepage rebuilt section by section, shipping copy verified against the real delivery setup, product page micro-copy, cart free-shipping bar and FAQ.
• Offers built in: a "buy with your mates" bundle discount and a shipping-protection add-on, both toggleable.
• AI creative library: 36 static ad creatives from 15 concepts in the first drop, every prompt and reference documented, plus a 10-angle creative brief.
• Meta ads: account and pixel set up properly, creatives live, managed monthly against a clear target.
• AI consulting: the audits, briefing docs and creative engine handed over as systems the owner keeps.

An Australian business bringing embossed timber panels to market. Real production capacity, a genuinely new product, no local competitor to copy, and zero customers. The launch job wasn't "run some ads", it was find the audience, prove the buying power, and build the lead engine around the answer.

Everyone assumed the buyer was designers and architects. Nobody actually knew. Commercial or residential, trade or homeowner, local or national: every one of those answers changes the ads, the content and the offer, and guessing wrong burns the launch budget.

• A sample-first lead engine: free-sample offer, dedicated landing page and Meta ads. 230+ verified leads in three months at under $10 a lead with every cost included, dipping near $3 a lead at its best, on sub-$1 clicks.
• The audience answered with data: homeowners outnumbered the assumed designer audience 4 to 1, and every single "ready to buy now" lead was a homeowner. Ads now target homeowners; content and the trade quote system serve the architects and builders.
• Buying power mapped: a third of the list had a live project inside 90 days, demand proved national (three quarters interstate), and pattern-level demand data now steers production and content.
• The engine behind it: full site rebuild with a commercial quote system, an AI colour-preview tool, pixel + server-side tracking, email automations, 48 SEO blogs and an enriched designer outreach list.