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Ecommerce✦ US · DTCGrowthPaid SocialMeta

Built to Scale, Not to Spend

$1,069,498+312%

Conversion rate held at 4.03% while traffic grew 315%.

Store-level · Shopify Admin analytics · blended across all traffic sources · measured over 11 months vs the preceding equal-length period

✦ The problem

A store that worked. And no way to grow it.

The storefront converted and organic demand was real. Paid social wasn't underperforming. It didn't exist. No account structured to buy purchases, no creative engine, and no purchase signal coming back to optimise against.

You can't scale a channel that was never built.

Paid social · before

0 purchases, revenue or signal from paid social
Ad account structured to buy Not built
Creative testing engine Not built
Purchase signal feeding back None

Nothing here yet. This is the before the whole page measures against.

✦ The formula

Spend went up. Efficiency went up with it.

An account built from the ground up to buy purchases, with creative tested and iterated, and budget scaled only as the returns held. The line is monthly ROAS. The bars are monthly spend.

Monthly ROAS Monthly spend

Hover or tap a month for spend, purchases and ROAS

$56,384.55

spend

$405,097.01

tracked purchase revenue

4,381

purchases

7.18×

blended ROAS

$11–12

cost per purchase, by the end of the window

Channel-attributed · Meta Ads Manager · 7-day click / 1-day view attribution · over the same 11-month window. Reported separately from store totals and never added to them.

✦ The formula, plainly

Act 2

The Meta engine, built from zero

The brand

Strong organic demand, already converting

Act 3

The dashboard every owner wants to see

✦ The outcome

At the store level, everything moved together.

Total sales

+312%

$1,069,498

Orders

+318%

9,149

Sessions

+315%

203,467

Conversion rate

Held

4.03%

Held through a 315% traffic increase.

Average order value

Held

$102.79

Held through a 315% traffic increase.

Returning customer rate

+11%

18.12%

Store-level · Shopify Admin analytics · blended across all traffic sources · measured over 11 months vs the preceding equal-length period

✦ Supporting proof

The customers stuck

18.12%returning rate · +11%

The returning rate climbed while acquisition quadrupled, and later cohorts retained better than earlier ones. The opposite of what low-quality growth looks like.

The product delivered

~0.6%returns, of gross sales

Returns held near 0.6% of gross sales straight through the volume surge. Scaling didn't buy back a wave of refunds.

Broad base

~15%top seller's share

The best-selling product held around 15% of total sales. Growth was spread across the range, not carried by one hero SKU.

Store-level · Shopify Admin · blended across all traffic

Measurement basis

Store figures are from Shopify Admin analytics, blended across all traffic and not channel-attributed, measured over an 11-month window against the preceding equal-length period. Paid-social figures are channel-attributed from Meta Ads Manager on a 7-day click, 1-day view model over the same window. The two bases are reported separately and never added together. The first month carried only pre-engagement client testing and is excluded from the curve; the final month is a partial month.

✦ Ready when you are

Scale that doesn't dilute is a design choice.

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