A premium beauty and personal care brand turned Google Ads into a scalable ecommerce revenue engine — $5.74 million in tracked sales from $573,000 in spend across 31 days, at a 10x+ return.
02 · Executive Summary
A rapidly growing premium beauty and personal care brand came to MAVN with a clear objective: turn Google Ads into a scalable, dependable revenue channel capable of supporting millions of dollars in monthly ecommerce sales.
The brand already had meaningful customer demand. The challenge was capturing that demand efficiently, expanding beyond customers already familiar with the brand, and allocating more than half a million dollars in monthly media spend without allowing profitability to deteriorate.
The Engagement
MAVN restructured the account around customer intent, product-level economics, inventory, campaign purpose, branded and nonbranded demand, Shopping performance, and measurable revenue — building a system capable of operating at meaningful scale while maintaining more than ten dollars in revenue for every dollar invested.
03 · The Client
The client sold a broad range of premium skincare, haircare, and everyday beauty products directly to consumers. Its catalog included established bestsellers, replenishable products, product bundles, and seasonal releases.
Customers discovered products through social media, creators, recommendations, email, organic content, and word of mouth before searching for the company on Google. That created a major opportunity — and a complicated measurement and management challenge.
Different products carried different margins, conversion rates, inventory levels, and repeat-purchase patterns. The account could not be managed effectively as one large, undifferentiated catalog.
Catalog Across Categories
What the brand already had
04 · The Starting Point
Several issues had to be addressed before the channel could be scaled reliably.
A small group of products generated a disproportionate share of revenue while weaker products kept receiving exposure without the same commercial return.
Customers often discovered products through social, creators, and word of mouth before searching the brand on Google — branded search could look exceptional while capturing demand created elsewhere.
The brand had to capture branded searches while also reaching shoppers browsing beauty categories who had not yet chosen the client.
At $573,000 in monthly spend, a five-percent allocation mistake represents tens of thousands of dollars — the account required close control across budgets, segmentation, and tracking.
Products Needed a Clearer Distinction Between
05 · The Objective
The goal was not simply to increase spend. It was to build a program capable of producing substantial revenue while remaining responsive to the economics of the business.
Customers actively searching for the company, its products, or closely related categories needed to reach the most relevant page with the right offer.
Attract new customers shopping in the category who had not yet decided to purchase from the client.
Advertising investment needed to follow actual product opportunity rather than being distributed evenly across the catalog.
Irrelevant searches, low-value products, campaign overlap, and poor landing-page alignment needed to be caught before consuming significant capital.
A durable Google Ads structure capable of supporting increasing revenue targets, larger budgets, new products, and changing demand.
06 · Phase One · Establishing a Reliable Measurement Foundation
The performance system needed to provide a reliable view of revenue, cost, conversion value, and product- and campaign-level performance. Without accurate measurement, automated bidding can optimize toward incomplete or misleading outcomes.
07 · Phase Two · Rebuilding the Account Around Customer Intent
Branded performance was analyzed separately from broader customer acquisition so existing demand did not obscure the true performance of nonbranded growth campaigns.
Branded Search · Captured
Campaigns helped the company control the search experience for customers already searching for:
Nonbranded Search · Expanded
Reached customers searching by category, problem, routine, or format — a more competitive form of growth requiring precise keywords and landing-page alignment:
Shopping & Product-Based Campaigns
For a large beauty catalog, product-data quality was critical. Google needed to understand:
Remarketing
Rather than repeating the same message shown to a new customer, remarketing reflected existing awareness:
08 · Phase Three · Product-Level Segmentation
Products were organized according to their commercial role, allowing capital to be allocated by actual business value.
High-demand products capable of generating substantial revenue and supporting increased advertising investment.
Strong repeat-purchase behavior justified a different acquisition strategy from one-time or seasonal purchases.
Stronger unit economics supported more aggressive customer-acquisition targets.
Increased average order value and introduced customers to multiple products in one purchase.
Controlled testing before receiving significant investment.
Performed differently by time of year, customer routines, gifting periods, or promotional events.
Spend stayed aligned with inventory to avoid generating demand the company could not fulfill.
Products consistently consuming spend without acceptable revenue were reduced, excluded, or moved into separate testing environments.
09 · Phase Four · Product-Feed Optimization
Google relies on the feed to determine which products appear for which searches. MAVN improved the quality and organization of every field that influenced matching.
Feed Elements Managed
Product Titles
Depending on the product, titles communicated:
Custom Labels
Grouping products internally by these attributes gave the account more control over bidding and budget allocation.
10 · Phase Five · Search-Term Management
Search-term analysis identified commercially relevant queries and excluded irrelevant ones. At more than half a million dollars in monthly spend, this was an ongoing process — not a one-time cleanup.
High-intent product searches
Profitable nonbranded queries
Emerging customer demand
Brand-plus-product combinations
Product comparison searches
Irrelevant informational searches
Low-intent traffic
Searches requiring dedicated landing pages
New keyword opportunities
11 · Phase Six · Landing-Page Alignment
A customer searching for a specific skincare product should not be sent to a generic homepage. The goal was to preserve intent from the original search through the purchase.
12 · Phase Seven · Budget Allocation
Campaigns did not receive equal budget increases. Investment moved toward the products, categories, and campaign types demonstrating the strongest combination of demand and efficiency.
13 · Phase Eight · Scaling Without Losing Control
When investment increased, MAVN monitored whether the additional spend kept producing acceptable revenue. The account expanded across multiple opportunities rather than forcing more budget into a single saturated campaign.
Marginal return on additional spend
Conversion stability
Search impression share
Lost impression share from budget
Product-level efficiency
New-customer potential
Search-term quality
Campaign saturation
Landing-page conversion
Inventory constraints
14 · Phase Nine · Promotional & Seasonal Management
Google Ads needed to respond quickly — before, during, and after each event.
Before a Promotion
During a Promotion
After a Promotion
15 · Phase Ten · Continuous Optimization
At this level of scale, Google Ads management required continuous monitoring and adjustment as customer behavior and business priorities changed.
16 · The Results

Reporting note: The dashboard displays a 1,166.22% ROAS. The rounded sales and cost totals shown on the same dashboard calculate to approximately 10.0x. We publish the conservative claim of "10x+ ROAS" unless the underlying reporting data confirms the higher figure.
Google Ads did not generate these results on its own. The growth was driven by MAVN's strategy, management, and decision-making — applied to a brand with strong products, organic demand, and a broad ecommerce catalog. Google Ads was the channel; MAVN was the operator behind it.
17 · Why the Strategy Worked
Campaign decisions were connected to product performance, inventory, promotions, customer intent, and revenue goals.
Investment was allocated according to the commercial role and performance of each product group.
The account captured existing demand without relying solely on branded campaigns to demonstrate success.
Irrelevant queries were addressed before they could consume a meaningful portion of the budget.
The product feed was treated as a strategic advertising asset rather than a passive technical requirement.
Additional investment moved toward campaigns capable of converting more demand without immediately sacrificing efficiency.
Search intent, ads, product listings, landing pages, availability, and checkout were evaluated together.
The account was continually adjusted as demand, products, inventory, and customer behavior changed.
18 · The Broader Impact
It was the creation of a Google Ads operation capable of supporting millions of dollars in monthly sales — an integrated revenue engine rather than a collection of isolated campaigns.
19 · Conclusion
MAVN helped an anonymous premium beauty and personal care brand build a Google Ads system capable of reaching more than 80 million impressions and translating that visibility into millions of dollars in tracked sales — designed to perform as the business scales.
The Closing Call to Action
$573K invested. 80.5M impressions. $5.74M in monthly sales. A 10x+ return.
MAVN builds and operates Google Ads programs connected to product economics, inventory, search demand, customer intent, and long-term growth objectives — designed to perform as the business scales.
$5.74M in sales. $573K in spend. 10x+ ROAS. One Google Ads system built for sustained ecommerce scale.
Anonymous Client · Prepared for review