DesignAdvertise

BarnWerx · February 1, 2026 · 6 min

BarnWerx: From “Boosted Posts” to a Real Engine

Construction ServicesConstruction ServicesCreative PipelineLocal Trade

Problem

BarnWerx was relying on boosted Facebook posts and manually rebuilt Google campaigns each month. Creative was made in Canva with no brand governance, and there was no system to identify which customer intents—site builds, repairs, or upgrades—were actually driving conversions.

Solution

DesignAdvertise replaced the ad-hoc process with a structured launch pipeline: message system → variants → deployment → iteration. Campaign intelligence identified converting intents, enabling split landing pages and region/season-specific offers. Google Ads got disciplined query-to-offer mapping; Meta got controlled creative iterations with behavioral retargeting.

Results

  • No more monthly resets Campaign turnaround
  • Reduced Canva/Figma reliance Tool dependency
  • Query-to-offer mapping + negative keyword governance Google Ads
  • Controlled creative iterations + behavioral retargeting Meta

The bottleneck

BarnWerx was a growing construction services company with strong local reputation but inconsistent digital marketing. Their process was simple but broken: boost a Facebook post, manually set up Google Ads for the month, reset everything when results stalled. Creative was cobbled together in Canva with no brand guidelines, and every new campaign felt like starting from scratch.

Building a real pipeline

DesignAdvertise replaced the monthly reset cycle with a structured pipeline. Campaign intelligence identified that BarnWerx’s customers had distinct intents—site builds, repairs, and upgrades—each requiring different messaging, offers, and landing pages. Google Ads were restructured around disciplined query-to-offer mapping with proper negative keyword governance. Meta moved from boosted posts to controlled creative iterations with retargeting built on actual on-site behavior.

The result

BarnWerx stopped “starting over” each month. New campaigns launched faster because they built on a governed message system rather than one-off designs. The team reduced their dependency on Canva and Figma for day-to-day ad production, and offers tightened around region and season—matching what the data showed was actually converting.

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