Google Maps is notoriously difficult for businesses without a physical address. See how we deployed a complete overhaul—New Website, SEO, Content, and PPC—to help Laundry Genie stop bleeding ad budget and secure Page 1 rankings for highly competitive commercial keywords across Houston’s wealthiest suburbs.
Laundry Genie had a massive operational advantage: they were a pure Pickup & Delivery (P&D) service, meaning they didn’t have the massive overhead of a retail coin-op storefront.
However, they faced two massive marketing hurdles:
Google’s local algorithm heavily favors businesses with a physical address. Laundry Genie had to compete against massive, established brick-and-mortar laundromats without having a storefront of their own.
To compensate for the lack of organic visibility, they were relying heavily on Pay-Per-Click (PPC) Google Ads. But without a strict Negative Keyword defense, their budget was being drained by low-value residential clicks and irrelevant searches, driving up their cost-per-acquisition.
No storefront? Wasted ad budget? Can’t rank on Google Maps?
We stopped the bleeding immediately and built an infrastructure designed to capture commercial B2B accounts across the Greater Houston area.
Before spending another dollar, we took over their Google Ads (PPC) account. We applied our proprietary laundry negative keyword list to instantly block “DIY” searchers and low-margin residential clicks. We refocused the budget strictly on high-intent commercial and P&D searches, drastically lowering their cost-per-lead and saving them thousands in wasted spend.a
Laundry Genie had a massive operational advantage: they were a pure Pickup & Delivery (P&D) service, meaning they didn’t have the massive overhead of a retail coin-op storefront.
However, they faced two massive marketing hurdles:
To compensate for the lack of organic visibility, they were relying heavily on Pay-Per-Click (PPC) Google Ads. But without a strict Negative Keyword defense, their budget was being drained by low-value residential clicks and irrelevant searches, driving up their cost-per-acquisition.
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