We employ a holistic approach to paid social marketing that focuses on defining and targeting highly qualified audiences based upon first party data, building creative based upon advertising appeals and behavioral psychology principles, and employing a full-funnel approach that helps magnify efforts from other channels.
Continual testing, restructuring, and optimizations based on the data we’re seeing while managing your paid social accounts.
Launch a mixture of top-of-funnel engagement / traffic campaigns, middle-of-funnel conversion campaigns, and bottom-of-funnel retargeting campaigns to build your audience and drive conversions.
Build strong, scroll-stopping creatives based on best practices according to advertising appeals and behavioral psychology for each step in the paid social marketing funnel.
Define the mix of high-intent audiences to target in our paid social campaigns, along with channels on which to target them. Key audiences are: Lookalikes of qualified customers, retargeting audiences, and interest / demographics audiences.
- Build Lookalike audiences of high LTV / qualified customers using first-party data.
- Create pixel-based and first-party data-based retargeting audiences based on profile engagements, site actions, and recency.
- Use audience personas to test various interest and demographics-based audiences.
- Launch on channels where we are most likely to find your target audiences.
- Employ best practices based upon advertising appeals and behavioral psychology principles to build creatives that are most likely to drive engagement and conversions in each portion of the marketing funnel.
- Launch campaigns in a funnel structure that includes:
- Top-of-funnel campaigns that promote blog and social profile posts to drive traffic and build the remarketing funnel,
- Middle-of-funnel campaigns that use scroll-stopping creative to drive traffic and conversions, and
- Bottom-of-funnel retargeting campaigns that promote offers and value props that close the deal.
- Ongoing management of your paid social accounts, which includes continual testing, optimizations, data analysis, and real-time metrics reporting.