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Construction web design results: numbers that survive a screenshot.

Pixel Studio has shipped 24 builds for contractors, trade businesses, and suppliers since 2024. Across the 12 builds with clean analytics baselines, the average lead lift is 3.4x at 90 days. Every number below is measured in the client's own analytics, against their own pre-launch baseline.

Updated August 2026

Builds shipped24
Avg. lead lift at 90 days3.4x
Builds with clean baselines12 of 24
Walk-aways2 of 24
+675%
Qualified leads
90 days post-launch

From 4 leads a month to 31

Conversion-first rebuild, local SEO, and an AI-search program for an Austin general contractor. Same ad budget, measured as form and call leads, 90 days pre vs post launch.

Hammond Build Co.GC · Austin, TX
Read the full case →
$280K
After-hours quotes
captured in 6 months

The receptionist that works nights

AI receptionist plus a booking flow for a 4-location plumbing company. $280K of after-hours quote requests captured in six months. Full write-up coming; numbers verified against client analytics.

Northline PlumbingTrade · 4 locations
Full write-up coming
2.1×
Average order value
vs the old store

A B2B store built for contractor accounts

Contractor pricing tiers, bulk ordering, and net-30 invoicing for a tools distributor in Oklahoma and Texas. Average order value went from $11K to $23K. Full write-up coming; numbers verified against client analytics.

ToolStack SupplyDistributor · OK + TX
Full write-up coming

Why only three cases from 24 builds?

Because we publish a case study only when the client has cleared their numbers and we can verify them in their own analytics. No composite clients, no "results may vary" collages. Northline and ToolStack are verified; their full write-ups are in progress.

Two clients walked away mid-build. They kept everything made to that point, at no charge. Those two count in the 24.

How we count

Lead lift means form submissions plus tracked calls, compared over the 90 days before launch vs the 90 days after. Hammond's lift was measured on the same ad budget. The 3.4x average covers the 12 builds where a clean pre-launch baseline existed. Builds without reliable prior tracking are excluded from the average, not estimated.

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