High-Ticket B2B Scaling: Generating 294 Leads at $151 CPA on a $44.4K Budget
From Clicks to Customers: Auditing, Optimizing, and Scaling Google Ads Performance
Project Overview
Client Background:
Loman.ai is a leading 24/7 AI-powered phone answering and ordering assistant for restaurants. Operating in an intensely crowded SaaS and automated voice space, Loman.ai needed to scale up their national Google Ads and Performance Max campaigns. The goal was to target busy restaurant owners, multi-location operators, and franchises to drive qualified 1:1 call bookings at scale.
Industry: B2B SaaS – Voice AI for Restaurants
Campaign Duration: August 1 – 31, 2026
Monthly Ad Spend: $44.4K (USD)
Average Cost-Per-Click (CPC): $6.93
Locatiuon: USA
Goal: Get restaurant owners, operators, and franchise decision-makers to book a 1:1 call through iClosed booking forms.
Campaign Highlights:
Total Spend: $44,400.00 ($44.4K)
Leads (Conversions): 294.00
Cost Per Conversion (CPA): $151.00
Average Cost-Per-Click (CPC): $6.93
Google Ads Dashboard Overview
Execution & Outcome:
Instead of bidding on broad AI terms, I focused campaigns on exact restaurant pain points. With tight, high-intent keywords and negative keywords on PPC & PMax, the $44.4K ad spend generated 294 qualified 1:1 call bookings at a $151 CPA.