Detailed targeting strategies for each major ad platform. Google Ads Audiences (Search Campaign Targeting, Display/YouTube Targeting) Meta Audiences (Core Audie
Audience Targeting provides detailed strategies for defining and refining who sees your ads across major platforms like Google Ads, Meta, LinkedIn, Twitter/X, and TikTok. It covers how to layer targeting options—such as job titles, behaviors, interests, and customer lists—and how to balance audience size for optimal performance. This skill also addresses exclusion tactics to improve ROI by filtering out irrelevant or low-value users.
By understanding platform-specific audiences and the trade-offs between reach and precision, marketers can optimize campaigns for better conversion rates, lower costs, and more effective budget allocation. It includes practical guidance on search, display, social, and video channels, along with lookalike and custom audience construction.
This skill is ideal for performance marketers managing multi-channel paid media campaigns who need to deliver precise targeting without overspending. Growth leads planning audience segmentation strategies for new product launches or market expansion will find it valuable. Additionally, agency strategists working on B2B account-based marketing and consumer retargeting campaigns will benefit from its platform-tailored approaches and exclusion tactics.
Marketers focused on LinkedIn’s job-based targeting or Google’s search audience layering will appreciate the concrete workflows, while social media operators on TikTok or Meta will gain insight into balancing broad and narrow targeting for maximum impact.
Start by selecting appropriate audience types for each platform, such as exact match keywords and RLSA on Google Search or core, custom, and lookalike audiences on Meta. Next, layer targeting criteria to refine reach—for example, combining job title with seniority and company size on LinkedIn or layering in-market and demographic segments on Google Display campaigns. Third, implement exclusions to remove converters, employees, and irrelevant visitors to protect budget and improve efficiency. Finally, monitor audience performance metrics and adjust targeting modes (observation to targeting) or audience combinations based on conversion data and scale.
In B2B scenarios, practitioners build account lists for ABM campaigns and stack decision-maker titles with company growth signals to time outreach precisely. On social platforms, leveraging follower lookalikes and behavior segments helps balance awareness and intent.
How do I know if my audience is too narrow or broad? Aim for platform-specific size ranges; too small leads to slow learning and high costs, too large wastes spend and reduces relevance. Can I layer multiple audience types on Google Ads? Yes, start with observation mode to analyze performance and switch to targeting mode for high-performing segments. Should I exclude recent converters and employees? Always exclude recent converters (7–14 days) and employees by company or email list to avoid inefficient spend and brand safety issues.
Attach the Audience Targeting skill to any Metaflow agent task focused on campaign setup or optimization across platforms. Expect the agent to recommend audience definitions, layering strategies, and exclusions tailored to your channel and goals. It will guide you through selecting and sizing audiences, helping refine targeting continuously based on performance data. This skill integrates seamlessly with other campaign management tasks and supports iterative testing and scaling across paid media channels.
For broader context, see our roundup of claude marketing skills, and read Claude skills for Google Ads for related setup guidance.