An ecommerce brand reached roughly $69K a week during the holidays
Campaigns separated offer types and buyer stages before the seasonal budget increased.
A brand started late, around October. I built the account first, a campaign for each funnel stage and ad sets for three offer types, and a $20K to $30K starting budget filled it with creatives until revenue reached roughly $69K a week.
Context
Established ecommerce brand heading into Q4 with solid product/fit but underbuilt advertising systems. Came in around October with $20K to $30K to start and aggressive holiday targets.
Problem
They were heading into the most expensive auction season of the year with a late start and a budget that couldn't go into untested structures.
Approach
Built a multi-account, multi-campaign architecture: three primary offer types, separated by funnel stage (prospecting, warm, hot) and key personas. Inside that scaffold, I ran structured split-testing for creatives, offers, and audiences with clear decision rules: find winners, protect them, and feed them.
Stack
- Facebook Ads
- Shopify
- Structured campaign and ad-set design
Result
Scaled to roughly $69K/week in revenue through the core holiday window and held performance through the season instead of spiking and crashing.
Impact
After the season the client kept the account structure, the audiences that had worked, and tested creative angles to reuse for future launches.
Lessons
Build the account before the money goes in. Once every funnel stage had its campaign and every offer type its ad sets, the $20K to $30K starting budget went into creatives.
Who this is for
Relevant for brands entering a make-or-break season (holidays, launches, fundraising windows) who need to ramp aggressively and keep control.
Get a quoteThe method behind this result
- Paid AcquisitionPaid acquisition tests need a purchase target, cost ceiling and stopping rule. Business owners can use delivery costs to judge whether another test is affordable.
- The Value Optimization Framework: How Annual Prepayment Funds a GuaranteeA customer who pays for a year of software gives the seller cash before the seller has finished the work. That cash can fund the company. The customer still needs the installation, the support and the result they bought, and a refund promise creates another obligation the seller has to fund. Those obligations determine whether the offer works.