
Specialist Home Electronics Retailer
Overview
Overview
A niche retailer of waterproof/home‑lifestyle TVs wanted to grow non‑brand search revenue in a competitive market. Search was over‑indexed to brand terms; Shopping lacked granular control by size/model.
Challenges
High CPC category with comparison shoppers
Undifferentiated Shopping structure (mixed sizes, margins, and stock statuses)
Inconsistent query quality; limited coverage on high‑intent non‑brand
Strategy
Build a non‑brand search + Shopping spine for cold intent and pair with disciplined bidding.
Search: intent clusters (size + use‑case + location), add price/margin modifiers via ad strategy
Shopping: split by size/category/margin labels; ensure GTIN/MPN for better match; exclude low‑margin bleeders
Bidding: start with tCPA/tROAS hybrids; move winners to higher budgets; cap remarketing
Measurement: call tracking + GA4 events to capture phone‑driven sales interest
Execution Highlights
Ad copy focuses on differentiators (IP‑rating, installation support, warranty, delivery lead times)
Structured negatives to remove DIY/how‑to traffic and irrelevant AV terms
Seasonal pushes (renovation peaks) and promo extensions tested
Results (90–120 days)
+25–35% conversions from non‑brand traffic at target efficiency
+35–45% Google Ads revenue overall (with stable ROAS)
‑15–25% CPA on priority categories (by size)
Categories
E-commerce
Consumer Electronics
Specialist Home Electronics Retailer
Overview
Overview
A niche retailer of waterproof/home‑lifestyle TVs wanted to grow non‑brand search revenue in a competitive market. Search was over‑indexed to brand terms; Shopping lacked granular control by size/model.
Challenges
High CPC category with comparison shoppers
Undifferentiated Shopping structure (mixed sizes, margins, and stock statuses)
Inconsistent query quality; limited coverage on high‑intent non‑brand
Strategy
Build a non‑brand search + Shopping spine for cold intent and pair with disciplined bidding.
Search: intent clusters (size + use‑case + location), add price/margin modifiers via ad strategy
Shopping: split by size/category/margin labels; ensure GTIN/MPN for better match; exclude low‑margin bleeders
Bidding: start with tCPA/tROAS hybrids; move winners to higher budgets; cap remarketing
Measurement: call tracking + GA4 events to capture phone‑driven sales interest
Execution Highlights
Ad copy focuses on differentiators (IP‑rating, installation support, warranty, delivery lead times)
Structured negatives to remove DIY/how‑to traffic and irrelevant AV terms
Seasonal pushes (renovation peaks) and promo extensions tested
Results (90–120 days)
+25–35% conversions from non‑brand traffic at target efficiency
+35–45% Google Ads revenue overall (with stable ROAS)
‑15–25% CPA on priority categories (by size)
Categories
E-commerce
Consumer Electronics
Specialist Home Electronics Retailer
Overview
Overview
A niche retailer of waterproof/home‑lifestyle TVs wanted to grow non‑brand search revenue in a competitive market. Search was over‑indexed to brand terms; Shopping lacked granular control by size/model.
Challenges
High CPC category with comparison shoppers
Undifferentiated Shopping structure (mixed sizes, margins, and stock statuses)
Inconsistent query quality; limited coverage on high‑intent non‑brand
Strategy
Build a non‑brand search + Shopping spine for cold intent and pair with disciplined bidding.
Search: intent clusters (size + use‑case + location), add price/margin modifiers via ad strategy
Shopping: split by size/category/margin labels; ensure GTIN/MPN for better match; exclude low‑margin bleeders
Bidding: start with tCPA/tROAS hybrids; move winners to higher budgets; cap remarketing
Measurement: call tracking + GA4 events to capture phone‑driven sales interest
Execution Highlights
Ad copy focuses on differentiators (IP‑rating, installation support, warranty, delivery lead times)
Structured negatives to remove DIY/how‑to traffic and irrelevant AV terms
Seasonal pushes (renovation peaks) and promo extensions tested
Results (90–120 days)
+25–35% conversions from non‑brand traffic at target efficiency
+35–45% Google Ads revenue overall (with stable ROAS)
‑15–25% CPA on priority categories (by size)
Categories
E-commerce
Consumer Electronics