Kitchen Cabinet Retailer

A Google Ads strategy built around markets, products, buyer types, and sales feedback to drive larger and more efficient growth.

Client
About

CabinetSet is a U.S. kitchen cabinet retailer serving homeowners, remodelers, contractors, and trade buyers through nationwide delivery, online ordering, and a Philadelphia-area showroom.

Industry

Furniture & Home

Services

Google Ads Managment

Bing Ads Managment

Meta Ads Managment

YouTube Ads Managment

Conversion Rate Optimization

Analytics & Tracking

HubSpot Integration

Tools

Google Analytics 4

Google Tag Manager

Microsoft UET

Meta Conversions API

Offline Conversion Tracking

Looker Studio

HubSpot

The Results

+

980

%

Revenue Growth

+

585

%

Order Growth

-

72

%

Order Cost

Overview

From an under-segmented account to a Google Ads growth system

CabinetSet is a U.S. ecommerce retailer serving homeowners, remodelers, contractors, and trade buyers with ready-to-assemble and pre-assembled kitchen cabinets.

The business has multiple paths to a kitchen sale, but the commercial goal is the same – turn paid demand into more revenue and more sales activity. When Advantrise began work in 2023, Google Ads did not yet reflect the major differences between markets, product lines, buyer types, and delivery economics.

The account was rebuilt around commercial value rather than traffic volume alone. From the pre-rebuild baseline to the strongest sustained period, GA4-attributed revenue from Google Ads traffic increased 980%, commercial conversions increased 571%, and conversion cost declined 72%.

Green kitchen cabinets in a modern kitchen interior
Comparison basis: the pre-rebuild monthly average from May-June 2023 is compared with the peak sustained monthly average from January-August 2025. Exact spend, revenue, and sales totals remain confidential.

The Challenge

Scaling required more than sending additional traffic to the same account structure.

Cabinet sales are shaped by more than search volume. Purchasing power, delivery practicality, product preference, and buyer type can change the value of the same click from one market to another.

The account also contained many tracked website actions. Some were useful diagnostics, but they did not carry the same commercial weight as a customer entering the primary sales process. Optimizing toward all activity equally would make performance appear stronger without necessarily creating more business.

Uneven markets
Demand quality varied by purchasing power, conversion potential, and the practical economics of delivery.
Uneven products
Cabinet categories and models did not deserve equal exposure or equal budget at every stage of growth.
Noisy signals
Micro-events and spam could inflate activity unless campaigns were guided by stronger commercial outcomes.

Objectives

01Increase sales activity without allowing acquisition cost to rise at the same pace.
02Direct budget toward the markets, products, and audiences with stronger business potential.
03Build separate acquisition logic for homeowner and contractor demand.
04Return stronger online and offline sales signals to campaign optimization.

The real challenge: increase sales activity while making the account more selective about where budget competes and which actions guide optimization.

The Strategy

Manage paid demand by commercial value, not by traffic volume alone.

The strategic shift was to make market value, product potential, buyer intent, and sales feedback part of the account structure. Search, Shopping, and Performance Max could then play different roles while optimizing toward one commercial outcome.

This created a controlled path to scale. First, the account was rebuilt and the measurement baseline was clarified. Next, budget moved toward the combinations of location, product, and audience that showed stronger potential. Later, Meta added incremental demand and offline feedback improved the quality of the signals available to the advertising system.

Market and delivery fit
Product potential
Buyer intent
Google Ads
growth system
Clearer budget priorities
Stronger sales signals
Controlled scale
BaselineLimited scaleBroad account activity with weak separation by commercial value.
RebuildClear prioritiesCampaigns reorganized around market, product, audience, and sales value.
ScaleExpand winnersPerformance Max, Search, and Shopping developed around validated demand.
PeakHigher outputMore paid revenue and conversions at a substantially lower conversion cost.

Execution

Six connected workstreams turned the strategy into an operating system.

The result did not come from one campaign type or one bid change. It came from repeatedly narrowing where budget should compete, expanding the segments that produced stronger sales signals, and improving the data returned to the platforms.

01
Account Architecture
Search, Shopping, and Performance Max were reorganized so each could serve a clear role in demand capture, product discovery, and scale.
02
Market Segmentation
Campaigns were separated by purchasing power, conversion potential, and delivery practicality. Lower-priority or uneconomical locations were deprioritized.
03
Product Priority
Higher-potential cabinet lines and models received more exposure. Performance Max audience signals were refined around buyers most likely to enter the sales process.
04
Intent Control
A large and continuously expanded negative keyword library protected budget from weak, irrelevant, or commercially unsuitable search demand.
05
Buyer Segments
Homeowner demand and contractor demand received different campaign logic, allowing B2C and B2B acquisition to scale without forcing both audiences into one structure.
06
Signal Feedback
Conversion tracking was clarified and offline feedback was configured so stronger outcomes identified by CabinetSet’s sales managers could be returned to campaign learning. HubSpot supported spam control and value organization.
Supporting channelMeta Ads
Additional demand without changing the Google Ads core

Meta was added later as a complementary source of assisted kitchen demand. It expanded the acquisition mix while Google Ads remained the main performance story.

White kitchen cabinets in a bright contemporary kitchen

Results

The peak represented a different level of Google Ads performance, not a small optimization gain.

The before-and-peak comparison uses Google Ads as the primary source for conversion volume and cost, with GA4 used for revenue attributed to Google Ads traffic. The commercial conversion measure consolidates the sales outcomes that matter to CabinetSet and excludes secondary micro-events.

+980%Paid RevenueAverage monthly revenue attributed in GA4 to Google Ads traffic.
+571%Conversion GrowthAverage monthly Google Ads commercial conversions.
-72%Conversion CostGoogle Ads media cost per commercial conversion.
Baseline to peak
The pre-rebuild monthly average is indexed to 100. Lower conversion cost is better.
Paid RevenueGA4 attributed
1001 080
Commercial ConversionsGoogle Ads
100671
Conversion CostGoogle Ads
10028
Monthly averages normalized for period length. May-June 2023 baseline vs January-August 2025 peak sustained period.
+41%Social Demand
Meta added a second source of assisted kitchen demand

GA4-recorded social / cpc commercial demand increased 41% in September-December 2025 compared with the same four-month period in 2024. Meta spend remains confidential.

Measurement note: the historical and updated versions of the primary assisted-sales action were mapped as the same business outcome. Secondary events were excluded. Revenue is GA4-attributed, not Google Ads conversion value, and no claim is made about total company revenue or profit.

Business Impact

Google Ads moved from broad traffic acquisition to a substantially larger and more efficient sales channel.

All channels+45%Site RevenueGA4-recorded site revenue, full-year 2025 vs full-year 2024.
All channels+36%Total OrdersGA4-recorded transactions, full-year 2025 vs full-year 2024.
Broader context: GA4-recorded site revenue increased 45% and transactions increased 36% in 2025 while total website sessions changed by about 1%. These all-channel figures show the wider business trend and are not attributed solely to paid media.

The account generated far more paid revenue and commercial conversions while requiring only 28% of the original conversion cost. The improvement was not dependent on a proportional increase in traffic – average monthly paid sessions were lower in the peak period.

CabinetSet also gained a clearer operating framework for budget decisions. Markets, products, models, and buyer segments could be evaluated by their relative commercial value, while the sales team’s HubSpot qualification and offline feedback provided a stronger basis for future optimization.

What changed
More output from a more selective system
Revenue and commercial conversions grew several times faster than monthly spend because budget was increasingly concentrated in stronger markets, products, and audiences.
Why it matters
Scale with clearer trade-offs
The account can expand by commercial priority instead of treating every location, product, and conversion signal equally.

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