Home Decor E-Com
$10K to $150K in 90 Days, then $1M+
Context
DTC metal art brand selling custom family name pieces. Stuck around $10K/month, barely breakeven, while a personality-driven competitor dominated feeds.
Problem
The account had spend and volume but fragile, flat performance. The team was copying the competitor "handsome founder" angle without ever mapping who was actually buying and why.
The competitor's ads worked because a good-looking founder was in them talking about himself. Running the same angle for a brand that sells steel with a family name on it borrows the format and none of the reason it worked. The right-hand panel is the same ad frame holding what the buyer actually wanted.
Approach
Exported all Facebook ad data to CSV, built Google Sheets macros, and created cohorts by creative, age, device, and headline. The pattern popped immediately: 45+ women on iPhone, buying as gifts and emotional home anchors. We rebuilt the offer around that reality ("Family is Forever," "Make Your House a Home") and split campaigns by age and gender to control budgets and bids.
A cohort finding is worth nothing until the account is built so somebody can act on it. One blended campaign gets scored into a band per age and gender, winners get fed in small steps, losers get killed, and one band gets a deliberate push. Step through it: budget share is drawn as width, and no per-band figure is shown because none was recorded.
The cohorts came out of exported ad data by hand, before any code: an export ribbon feeding three planes, one per dimension of the split, with a single cell hot where all three agree. The account-level figures are the only ones the record carries, so they are the only ones drawn.
The before-to-after, silent-legible: where it started, what the data showed, the decision that turned it, where it landed. Past performance guarantees nothing. The diagnosis method is the product.
Stack
- Facebook Ads
- Google Sheets
- Manual macros
- Basic cohort analysis
Result
From around $10K/month to around $150K/month in around 90 days. Within around 7 months this line crossed $1M+ in revenue and helped the brand grow into an 8-figure operation with its own in-house team.
Four figures the record states, notched on the same cut edge the hero opens with. The spacing is sequence rather than scale, because the intervals between them are not all recorded.
Impact
Gave the founder a working playbook for budget allocation, creative briefing, and seasonal pushes instead of guessing. They went from "hope this month works" to a machine they could plan around.
The offer was rebuilt around what the piece is for once it is on the wall. That is why the winning angles were about family and home rather than about the product, and why an ad built from a customer's own photograph outran the studio work.
Lessons
Segmentation beat the competitor's face. Mimicking a competitor face never beats understanding your actual buyer. The boring, CSV-driven cohort work made more money than any clever hook.
Why this matters to you
Ideal for DTC founders plateaued with decent traffic and spend but no clear read on who is really paying the bills.
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