Massner
Premium snore-reduction & sleep solutions · est. 2014
CHANNEL REVENUE
↑ 68.3%
INITIAL ACOS
88.6% Audited
CAMPAIGN STRUCTURE
Intent-Driven
EFFICIENCY
Profit-First
A premium UK-based sleep wellness brand was bleeding ad spend to intense category competition and stagnant conversion plateaus. We completely re-engineered their operational architecture-listings, creative assets, algorithmic advertising, and breathing-solution targeting-transforming an underperforming snore-reduction portfolio into a high-efficiency, market-dominating flagship that skyrocketed revenue by 68.3% while significantly optimizing overall advertising efficiency.
Premium snore-reduction & sleep solutions · est. 2014
↑ 68.3%
88.6% Audited
Intent-Driven
Profit-First
Massner is a UK-based sleep wellness brand focused on helping customers sleep better, breathe easier, and reduce snoring through targeted solutions, including nasal strips, chin straps, and earplugs. The brand operates in a high-intent problem-solution market where customers actively search for relief from sleep disruption and breathing difficulties. Despite strong product-market fit, the Amazon advertising account was limited by structural inefficiencies that affected scalability and return on ad spend. This engagement focused on improving campaign structure, intent alignment, and advertising efficiency to unlock sustainable growth.
To engineer the turnaround, we first conducted a deep forensic audit of Massner's traffic data. We then rebuilt the entire account structure using a profit-first scaling framework focused on strict intent separation, aggressive waste elimination, and controlled budget expansion.
An unoptimized ACOS of 88.68% was aggressively draining profitability because budget was scattered evenly across unstructured targets. This starved high-converting keywords of capital while unmonitored automated matching and exploratory traffic consumed the daily spend.
We collapsed years of unoptimized campaign clutter into a single, profit-first architectural framework. By separating discovery layers from exact conversion anchors, we turned their ad spend into a precision instrument.
Three years of incremental work had calcified into a strategy nobody had reviewed end-to-end. Here's what was broken — and what we fixed.
Step 01
Intent Analysis
Deep-dive search term auditing to flag non-converting clicks, isolate high-intent sleep and anti-snoring keyword targets, and stop traffic leakage on exploratory broad phrases.
Step 02
Structural Rebuild
Reorganising campaigns into a strict performance hierarchy, dividing exact-match problem-solution keywords from controlled, budget-restricted discovery layers.
Step 03
Bid Engineering
Deploying dynamic, profit-controlled placement bids to secure Top of Search visibility based entirely on real-time conversion probabilities and strict ACOS stability thresholds.
Step 04
AOV Acceleration
Filtering traffic to prioritise high-probability conversion keywords, validating weekly conversion stability, and scaling winners gradually while protecting profit margins.
The planned growth strategy delivered impactful and measurable improvements across both advertising and business performance. Along with a rapid acceleration in orders and total units sold, campaign efficiency advanced through structured spending and optimised budget allocation. The comparison below highlights the clean metrics transition from a broken, unstructured ad account to a highly tuned performance marketing asset.
Revenue Lift
4.8x
$480K → $2.3M ARR
Trailing twelve months · same SKU mix
ROAS Improvement
+612%
1.4x → 8.6x
Blended across Sponsored Products, Brands & Display
Subscribe & Save
38%
from 4% baseline
Share of recurring orders on hero SKUs
Buy Box Win-Rate
96%
from 71%
Across 24 active ASINs · resellers eliminated
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