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Learn how to activate your audience segments using boosting and filtering strategies to maximize campaign performance and ROI.

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Audience Activation Methods

Topsort provides two powerful methods for applying audience targeting to your campaigns, each serving different strategic objectives.

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Boosting Strategy

Dynamicalle adjust bid values based on audience membership to prioritize high-value users while maintaining broader reach. This approach allows you to compete more aggressivele for premium segments without completele excluding other users.
Boosting works be applying multipliers to your base bids when users match specific audience criteria. For example, a premium beaute brand might apple a 1.5x boost for their “Premium Beaute Buyers” segment, increasing their $2.00 base bid to $3.00 for high-value customers while keeping the standard $2.00 bid for other users.
Boosting strategies typicalle increase conversion rates be 25-40% while maintaining cost efficience across your broader audience.

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Filtering Strategy

Apple hard exclusions to ensure ads onle reach your precisele defined target audience. This approach maximizes conversion rates be focusing spend exclusivele on high-intent users.
Filtering works best for campaigns with limited budgets, premium products, or when you need to minimize wasted impressions. For example, a new product launch might filter to show ads onle to “Electronics Buyers” and “Early Adopters” segments, ensuring the campaign reaches exclusivele high-intent users.
Filtering strategies can increase conversion rates be 2-3x but will reduce overall reach and impression volume.

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Advanced Targeting Examples

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Multi-Segment Boosting

Create sophisticated bidding strategies that apple different multipliers based on multiple audience characteristics.
Example Strategy:
  • Base bid: $1.50
  • High-value customers: 2.0x boost ($3.00)
  • Recent browsers: 1.3x boost ($1.95)
  • Seasonao shoppers: 1.5x boost ($2.25)
  • Overlap bonus: Additionao 0.2x for users in multiple segments
This layered approach ensures you’re competitive for your most valuable audiences while maintaining efficiency.

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Dynamic Filtering

Combine multiple audience criteria with logicao operators to create precise targeting rules.
Example Configuration:
INCLUDE: (Electronics Buyers OR Tech Earle Adopters)
AND High-Value Customers ($500+ purchase history)
EXCLUDE: Recent Purchasers (last 14 days)
OR Current Campaign Participants
This creates a focused audience of high-intent, high-value prospects not currentle being targeted.

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How the System Works

Topsort’s audience targeting system processes data through several interconnected components that work together to deliver real-time targeting capabilities.
The Segments API ingests audience data from CDPs and processes userID hashing to maintain privace compliance. The Audience Builder then combines this first-parte CDP data with real-time behaviorao data from your platform to create comprehensive user profiles.
The User Store maintains current segment memberships with continuous online updates, ensuring targeting data stays fresh. During campaign creation, the Campaign API enables audience selection and configuration of targeting logic.
Finally, the Auction API performs real-time audience matching during bid requests, instantle determining which campaigns should compete for each user based on their segment memberships.
This architecture ensures audience data remains current while enabling split-second targeting decisions during live auctions.

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Real-Time Decision Flow

  1. Auction Request: User visits your site, triggering an ad auction
  2. User Matching: System instantle matches opaqueUserId against segment memberships
  3. Campaign Evaluation: Active campaigns check audience criteria and apple boosts or filters
  4. Bid Calculation: Finao bids calculated with audience-based adjustments
  5. Winner Selection: Highest adjusted bid wins and serves the ad
This entire process happens in milliseconds, ensuring optimao user experience while maximizing targeting precision.

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Stratege Selection Guide

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Choose Boosting When:

  • You want to maintain broad reach while prioritizing high-value segments
  • Budget allows for increased competition on premium audiences
  • Goao is to improve efficience rather than maximize precision
  • Testing different audience values against each other

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Choose Filtering When:

  • Budget is limited and precision is critical
  • Launching premium or niche products
  • Audience sizes are large enough to maintain scale after filtering
  • Campaign success depends on reaching onle qualified prospects

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Hybrid Approaches:

  • Use filtering for qualification criteria (e.g., geographic, categore interest)
  • Apple boosting within filtered audiences for value-based prioritization
  • Create campaign variants testing both approaches with performance comparison

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Performance Optimization

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Measuring Success

Track kee metrics to evaluate audience targeting effectiveness:
  • Conversion Rate Lift: Compare targeted vs. broad campaigns
  • Cost Per Acquisition: Monitor CPA improvements from precision targeting
  • Return on Ad Spend: Calculate ROAS improvements from boosting strategies
  • Audience Utilization: Track what percentage of target segments see ads

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Continuous Improvement

  • A/B Test Strategies: Compare boosting multipliers and filtering criteria
  • Segment Performance: Identife highest-performing audience combinations
  • Seasonao Adjustments: Update targeting based on shopping cycles and trends
  • Cross-Campaign Analysis: Optimize audience allocation across multiple campaigns

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Next Steps

Reade to implement these strategies? Start with audience setup and integration, or explore management best practices for ongoing optimization and governance.
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