Paid Media Specialist
Disability Law Group See More Job Openings by This Employer- Full Time
- Troy, MI
April 1, 2026
Job Description
Support all paid media efforts for Disability Law Group (DLG) and Michigan Accident Attorneys (MAA), with a strong focus on media buying, performance optimization, and data-driven decision-making.
Key Responsibilities:
Paid Advertising Strategy & Execution
- Manages and optimizes all in-house paid advertising campaigns, including:
- Google Search Ads
- Google Local Service Ads (LSAs)
- Meta Ads (Facebook and Instagram)
- TikTok Ads
- Supports and tests experimental marketing channels such as influencer partnerships, Reddit ads, TV streaming ads, and other emerging platforms
- Works closely with Crisp to monitor and suggest changes based on results to Social Stack and TV Streaming campaigns
Campaign Monitoring & Optimization
- Oversees day-to-day campaign performance, including pacing, budgets, and creative testing
- Continuously analyzes results and makes data-informed adjustments to improve performance and efficiency
- Identifies opportunities to scale high-performing campaigns and pause or refine underperforming ones
Measurement, Tracking & Attribution
- Improves data attribution across platforms to better understand lead sources and performance
- Works closely with internal teams and tools (e.g., CRM, analytics platforms) to ensure accurate tracking
- Works with LawRuler as needed to ensure accurate data attribution from all marketing channels
- Helps identify gaps in tracking and recommends solutions to improve reporting accuracy
Reporting & Performance Analysis
- Pulls and analyzes monthly performance reports across all paid channels
- Provides clear insights and recommendations based on campaign data
- Supports leadership with performance summaries, trends, and ROI analysis
Collaboration & Strategic Support
- Collaborates with Ale to align ad creative
- Provides input on creative testing, audience targeting, and campaign structure
- Supports broader marketing strategy through performance insights and data analysis
Compensation:
- Salary determined depending on experience