Background
PAM is a voice-AI platform for car dealerships, designed to be “always on.” It answers calls, books appointments, and follows up automatically—ensuring no customer slips through the cracks. By integrating with dealer management systems, PAM helps dealerships capture service revenue lost to missed calls. Hundreds of dealerships across North America have adopted the platform to enhance customer experience and operational efficiency.
Challenges
Before partnering with ScalixAI, PAM worked with an agency that relied too heavily on generic AI tools and lacked foundational marketing strategy. This led to poor visibility, inefficient spend, and low ROI.
Fragmented campaign structure — scattered accounts and inconsistent tracking.
Poor attribution — no CRM linkage to identify which ads drove results.
Weak creative strategy — AI-generated ads misaligned with the product’s core value.
Approach
Waqas, Founder of ScalixAI, implemented a data-driven framework to rebuild PAM’s marketing engine.
Account Overhaul: Unified Google Ads & LinkedIn under one structured setup with proper tracking.
ICP Definition: Targeted mid-sized dealership groups aiming to improve call response rates.
Continuous Optimization: Weekly reports and rapid A/B testing to boost ROI.
$72K
Ad Spend
With Consolidated Google Ads & LinkedIn Campaigns
$234K
Annual Contract Value
3.25× ROI Generated
3
Enterprise Deals Closed
(1 Large + 2 Medium) Within a Few Months
In a highly competitive automotive SaaS market, PAM rebuilt its marketing foundation to transform performance visibility and ROI measurement. By combining strategic restructuring with data-driven campaign execution, PAM turned inefficient ad spend into a sustainable growth engine.
Scalable Growth Engine: Built a sustainable structure for continued pipeline expansion.
Improved ROI Visibility: Accurate attribution from ad click to closed deal.
Operational Efficiency: Automated reporting freed the team to focus on strategy.
