CUSTOMER STORIES/ASHLEY FURNITURE

Ashley Furniture improved ROAS by running Google + Meta on autopilot

Ashley Furniture Case Study

E-commerce performance across Search, Shopping/PMax, and Meta

TIME TO VALUE
3 days
EFFICIENCY
+50%
ROAS / MER
+47%
REGION
US
INDUSTRY
Furniture Retail
KEY PLATFORMS
Google Ads + Meta

“Ryze didn't just report issues — it shipped fixes. We could see what changed each week and what moved as a result.”

Sarah Mitchell
Performance Marketing, Ashley Furniture

About Ashley Furniture

Ashley Furniture is a high-ticket e-commerce furniture retailer with thousands of SKUs across categories like sofas, dining, bedroom, and mattresses. Performance depends on intent quality, conversion signal accuracy, and steady creative rotation across Google and Meta.

Momentum
42
Campaigns monitored weekly
1,200+
SKUs/categories optimized
85
Automated changes shipped

Executive Summary

Ashley Furniture used Ryze to manage paid ads across Google and Meta with a consistent weekly operating loop. Ryze monitored performance daily, surfaced a prioritized fix list, and applied updates with approval. The work focused on three areas: waste removal, signal quality, and budget + creative allocation. Within 3 days, Ashley had the first batch of fixes shipped. Over the next cycles, ROAS/MER improved by 47% and wasted spend dropped by 32% as budgets moved toward what consistently converted.

Cleaned up conversion signals and measurement accuracy
Removed wasted spend from low-intent queries and placements
Stabilized Meta performance with creative rotation rules

The Challenge

Ashley's paid spend was spread across many categories, products, and audiences — small leaks added up fast.

Search + Shopping waste

Queries and product spend drifted into low-intent traffic and low-return SKUs.

Noisy conversion signals

GA4/Ads mismatches, duplicate actions, or wrong 'primary' conversions weakened Smart Bidding.

Meta volatility

Creative fatigue and inconsistent rotation caused swings in CPA/ROAS.

Hard to keep a weekly cadence

Too many moving parts across Google + Meta to monitor manually.

The Solution

01

Cleaned up conversion signals

Ashley used Ryze to audit conversion actions and align optimization to purchases / qualified outcomes, not noisy events.

• Primary vs secondary conversion cleanup• Duplicate counting checks• Value accuracy QA (for value-based bidding)
02

Removed wasted search terms and low-intent traffic

Ashley used Ryze to identify waste patterns and keep spend on buyer intent.

Search intentSeparate buyer queries from research queries.
Waste blocksAdd negatives / exclusions to stop recurring junk traffic.
Next step clarityRoute each intent to one action (shop category / product / promo).
03

Reallocated budget across Google + Meta using performance signals

Ashley used Ryze breakdowns to move spend out of low-return segments and into consistent winners.

Cut waste

Reduce spend on low-return queries, SKUs, and placements.

Improve quality

Optimize toward higher-value purchases and stronger conversion signals.

Scale winners

Increase budget on categories, products, and audiences that hold ROAS/MER.

04

Stabilized Meta with creative rotation rules

Ashley used Ryze to detect fatigue and rotate creatives before performance dropped.

• Frequency + CPA drift alerts• “Keep / rotate / remake” list by category• Budget rules for scaling winning ads

Results

-32%

Wasted spend reduced by blocking low-intent traffic and underperforming SKUs.

+47%

ROAS / MER improvement by reallocating budget to consistent winners.

-28%

CPA reduction on Meta through creative rotation and fatigue detection.

12hrs

Saved per week via automated monitoring + reporting.

Why This Worked

Cleaner intent

Budgets stayed on buyer traffic instead of research clicks.

Better signals

Smart Bidding improved once conversions and values were trustworthy.

Spend followed results

Weekly budget + creative shifts kept money on the segments that performed.

Manages all your accounts
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Meta
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Shopify
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GA4
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Amazon
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