Platform Selection
Different social platforms serve different objectives and audiences. Strategic platform selection focuses resources where they generate maximum return.
Meta (Facebook and Instagram)
Meta offers unmatched reach and sophisticated targeting. Billions of users across demographics make it viable for most businesses.
Facebook skews older. Instagram skews younger and more visual. Both share targeting infrastructure and can be managed together.
Meta excels at brand awareness, lead generation, e-commerce, and app installs. Deep behavioral data enables precise targeting.
LinkedIn dominates B2B advertising. Professional context and employment data enable targeting by job function, seniority, company, and industry.
Higher CPMs than other platforms reflect higher-value professional audiences. B2B conversions justify premium costs.
LinkedIn works for demand generation, recruiting, and thought leadership. Professional content performs better than consumer-style creative.
TikTok
TikTok reaches younger audiences with engaging short-form video. The platform's algorithm surfaces content based on engagement, not just following relationships.
Advertising on TikTok requires native content. Polished ads feel out of place. Authentic, entertaining content performs better.
TikTok excels at brand awareness and consideration. Direct response results vary but improve with platform maturity.
X (Twitter)
X offers real-time conversation and trend participation. Advertising connects with current events and cultural moments.
B2B audiences are strong on X. Tech, media, and finance professionals remain active.
Pinterest reaches users in discovery and planning mindsets. Visual inspiration drives commerce consideration.
Strong for retail, home, fashion, and lifestyle categories. Users actively seek product ideas.
Our [paid media services](/services/paid-media) include strategy and management across social platforms.
Targeting Strategies
First-Party Data
Custom audiences from your own data produce best results. Website visitors, email lists, and customer databases enable precise targeting.
Lookalike audiences expand reach to users similar to your best customers. Seed audiences determine lookalike quality.
Privacy changes limit some tracking. First-party data strategies become more important as third-party signals decline.
Platform Targeting
Each platform offers unique targeting options.
**Meta**: Demographics, interests, behaviors, and detailed life event targeting.
**LinkedIn**: Professional attributes including job title, function, seniority, company, and skills.
**TikTok**: Demographics, interests, and behavior-based audience segments.
Layer targeting options for precision while maintaining adequate audience size.
Interest and Behavioral Targeting
Interest targeting reaches users based on affinities and activities. Useful for awareness campaigns and new audience discovery.
Behavioral targeting uses actual actions: purchases, app usage, travel patterns. Stronger intent signals than interest alone.
Retargeting
Retargeting reaches users who've previously interacted with your brand. Website visitors, video viewers, and social engagers.
Segment retargeting audiences by engagement depth. Recent visitors differ from casual visitors. Adjust messaging and bidding accordingly.
Frequency caps prevent over-exposure. Excessive retargeting annoys potential customers.
Exclusion Targeting
Exclude existing customers from acquisition campaigns. Suppress converted leads from lead generation.
Exclusions improve efficiency by focusing spend on new opportunities rather than redundant impressions.
Creative Best Practices
Platform-Native Content
Each platform has distinct content norms. Creative should feel native to where it appears.
Instagram demands visual polish. TikTok rewards authenticity over production value. LinkedIn expects professional context.
Repurposing creative across platforms without adaptation underperforms. Invest in platform-specific versions.
Video Performance
Video typically outperforms static images across platforms. Motion captures attention in scrolling environments.
Front-load key messages. Most viewers don't watch entire videos. The first few seconds matter most.
Design for sound-off viewing. Captions ensure message delivery when sound is muted.
Creative Variety
Test multiple creative approaches. What resonates with one audience segment may not work for another.
Refresh creative regularly. Fatigue sets in as audiences see the same ads repeatedly.
User-generated content often outperforms brand-produced creative. Authenticity drives engagement.
Ad Copy
Copy complements visuals. Headlines earn attention. Body copy delivers details.
Clear calls-to-action direct behavior. Vague CTAs produce vague results.
Match copy tone to platform context. Professional language for LinkedIn. Casual language for TikTok.
Landing Page Alignment
Creative and landing pages must align. Message match reduces bounce rates and improves conversion.
Create dedicated landing pages for major campaigns. Generic website pages underperform purpose-built destinations.
Campaign Optimization
Objective Selection
Platform objectives align with business goals. Choose objectives that match what you're actually trying to achieve.
Awareness objectives optimize for reach and impressions. Consideration objectives optimize for engagement. Conversion objectives optimize for specific actions.
Mismatched objectives waste budget. Optimizing for link clicks when you want purchases produces clicks, not purchases.
Bidding Strategy
Automatic bidding works for most advertisers. Platforms optimize bids based on conversion likelihood.
Manual bidding provides control but requires expertise. Incorrect manual bids waste budget or lose auctions.
Bid caps and cost caps prevent excessive spending but may limit scale.
Budget Allocation
Start campaigns with adequate budgets. Too-small budgets prevent algorithm learning.
Shift budget toward high-performing campaigns and audiences. Continuous reallocation improves overall efficiency.
Test budget proportions across platforms. Optimal distribution varies by business and objective.
A/B Testing
Test creative, audiences, and placements systematically. Let data guide optimization.
Test one variable at a time for clear learning. Multi-variable tests obscure what actually worked.
Allocate sufficient budget to tests. Small-scale tests produce inconclusive results.
Frequency Management
Monitor impression frequency. Too few impressions don't register. Too many annoy audiences.
Optimal frequency varies by objective and campaign length. Awareness campaigns tolerate higher frequency than direct response.
Measurement and Attribution
Platform Metrics
Native platform metrics provide immediate performance feedback. CTR, CPC, and conversion rates indicate campaign health.
Compare metrics across campaigns and historical performance. Benchmarks contextualize absolute numbers.
Conversion Tracking
Install tracking pixels and APIs for accurate conversion measurement. Without tracking, optimization is guesswork.
Privacy changes affect tracking. Server-side tracking and Conversions API implementation maintain measurement capabilities.
Attribution Challenges
Multi-touch journeys complicate attribution. Users see social ads and convert elsewhere. Attribution models vary in how they assign credit.
Platform attribution claims credit generously. Third-party measurement provides independent verification.
Accept that perfect attribution is impossible. Directional understanding guides decisions.
Incrementality Testing
Holdout tests measure true incremental impact. What would have happened without advertising?
Geographic holdouts, conversion lift studies, and controlled experiments reveal actual advertising contribution beyond attributed conversions.
Cross-Platform Measurement
Users move between platforms. Unified measurement across platforms provides complete pictures.
Marketing mix modeling correlates spend and outcomes at aggregate levels. Useful for budget allocation across channels.
Paid social advertising rewards ongoing attention. Platforms evolve, audiences shift, and creative fatigues. Continuous optimization—testing, learning, and adjusting—produces sustained results.