Job description
As a PPC Optimization Specialist at LegalMatch, you will manage and optimize PPC campaigns across various platforms such as Google Ads, Bing Ads, and social media channels. You will work closely with stakeholders to understand our objectives and develop effective PPC strategies to drive traffic, increase conversions, and maximize ROI.
- Audit existing campaigns to identify areas for optimization and improvement.
- Create, manage, and optimize PPC campaigns across multiple platforms including Google Ads, Bing Ads, and social media channels.
- Conduct audience and keyword research, configure conversion tracking, and enhance landing page performance.
- Analyze campaign data and metrics to identify trends, opportunities, and areas for improvement.
- Conduct deep-dive analysis on conversions to understand conversion factors and obstacles.
- Review existing research, conduct new interviews, and analyze comments on platforms like Facebook and Reddit to gain deep insights into our audience.
- Collaborate with stakeholders to align PPC campaigns with overall marketing objectives.
- Stay up to date with industry trends and best practices in PPC advertising.
To be successful in this role, you will need:
- Analytical mindset and ability to interpret campaign data to drive results
- Prior experience as a PPC Specialist or similar role
- Strong knowledge of PPC platforms (Google Ads, Bing Ads, etc.)
- Proficiency in managing and optimizing PPC campaigns
- Ability to conduct keyword research and optimize ad copy
- Excellent communication and collaboration skills
- Google Ads certification is a plus
- Bachelor’s degree in Marketing, Advertising, or a related field.
- Lead Generation Conversion Optimization
- E-commerce conversion optimization experience
- Experience in setting up and testing up campaigns from scratch
- To be able to speak to which default settings at the various paid campaign sources that should be left on vs turned off and why and/ or recommendations from platform reps at the various paid campaign sources that should be implemented or ignored and why
