3D Printing Materials Manufacturer Nearly Doubled Paid Revenue at 567% ROAS

A high-performance 3D-printing materials manufacturer partnered with Grey Matter to make its paid search program pull real revenue, not just clicks. Coming off a quarter where efficiency had slipped, the account needed to spend against value rather than volume. Below is what we changed, why we changed it, and the result.

The Company

The client manufactures engineering-grade 3D-printing filaments: high-performance materials built for aerospace, defense, automotive, and advanced manufacturing, where parts are held to strict performance and compatibility standards. They sell direct through an eCommerce storefront alongside larger B2B orders, and came to Grey Matter to scale paid search revenue without letting acquisition costs run ahead of return.

The Challenge

The account was inherited in an unsettled state. Bid targets had been churned repeatedly with no stable direction, and the campaigns were optimizing against a muddle of signals (soft form-fills, phone taps, sign-ups, and Google’s auto-generated location actions) rather than actual sales. Volume looked healthy on paper; profitability didn’t follow. ROAS sat around 2.5x and drifting.

Underneath it was a measurement problem. Without a single, trustworthy revenue signal, bidding couldn’t tell a high-value engineering-materials order apart from a low-intent tap. You cannot optimize toward value you cannot see. The account was effectively flying half-blind.

The Strategy

Grey Matter reframed the objective from more orders to better orders. An engineering-materials catalog spans a wide price range; winning meant steering spend toward the high-value purchases that drive the business, then giving the bidding system the clean revenue signal and the time it needed to compound.

Rationale: A catalog with a wide order-value range rewards optimizing for revenue per conversion, not conversion count. Correcting attribution first, then letting value-based bidding mature, aligns every dollar of spend with the orders that matter, instead of chasing cheap, low-value transactions.

Key Actions:

• Rebuilt the conversion foundation: made the GA4 web-purchase action the single primary conversion and cleared out the proxy and auto-created noise it had been competing with.
• Standardized reporting on true revenue (GA4 google/cpc purchases) instead of the storefront platform’s under-counted attribution.
• Let value-based bidding mature rather than churning targets, giving campaigns room to compound toward higher-value orders.
• Consolidated the Performance Max structure, segmented non-brand search by material type, and held budgets disciplined toward what returned value.

The Tactics

Conversion foundation rebuilt. We promoted the GA4 web-purchase action to the account’s single primary conversion and demoted or removed roughly ten competing signals: soft form-fills, phone taps, sign-ups, YouTube subscriptions, an outdated legacy form, and Google’s auto-generated location (“maps”) actions. Bidding finally optimized to revenue, not proxies.

Reporting aligned to true revenue. We stopped reporting on the storefront platform’s under-counted attribution and standardized on GA4 google/cpc purchase revenue, the metric that reflects what paid search actually drives.

Value-based bidding matured. Rather than churning targets, we held strategy steady and let bidding tune toward order value. Average order value nearly doubled, from roughly $219 to about $427, while purchase volume held essentially flat.

Structure consolidated, Brand anchored. We simplified the Performance Max structure and elevated specialty material lines (each clearing 375%+ ROAS), on top of a Brand Search base returning better than 1,300% ROAS.

Budget held disciplined. We trimmed and reallocated budgets toward the lines returning value and paused underperformers. Average CPC fell 48% and total spend dropped 14% while revenue grew. Efficiency, not budget, drove the result.

Low-cost reach layered in. YouTube Demand Gen scaled awareness at a cost-per-view down roughly 50%, compounding downstream search intent. Treated as a reach channel, not judged on last-click return.

The Outcome

The account posted 567% ROAS for the quarter, up from 255% the prior quarter: a 311-point jump. Paid revenue nearly doubled (+92%) on 14% less spend, and average order value nearly doubled as the account shifted toward higher-value orders.

And the gain wasn’t a single lucky month. Once the revenue foundation was in place, results compounded: from a sub-250% trough through a clean breakout above 500%, held every month of the quarter.

Compounding Results

Monthly return on ad spend, from the account’s low point through the breakout quarter. The foundation was set first; the results compounded after.

Return on ad spend by month (Google source-of-truth). After the conversion foundation was rebuilt and value-based bidding was given room to mature, ROAS climbed from a 147% low to a sustained band above 500%, with every month of the breakout quarter clearing 500% versus a 255% average the quarter prior.

Key Learnings

Optimize for order value, not order count. Maturing value-based bidding turned flat purchase volume into a 92% revenue gain. The account grew by winning better orders, not more of them.

Fix the revenue signal before you optimize. Correcting under-attribution was the precondition for everything that followed. You cannot bid to value you cannot measure.