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Case Studies
Better targeting, higher engagement & greater performance
Custom Audience Lists
from Social Listening Data
01 Data Collection
- Identify people social platforms for targeted curated content and pertinent and relevant market information.
- Collecting data, conversations and threads based on what’s being said in near real-time.
02 Data Cleaning, Filtering & Sculpting
- Datasets often contain bots that pump traffic views and (often) biased or mis-information to authentic sites. This Black Hat Traffic is more pervasive that ever in these robot networks (bot.nets and bot.farms).
- Our proprietary algorithms and filters organize these nodes, clusters and data, identifies bot.nets and allows us to filter, cleanse and sculpt them out
03 Customized & Segmented Audiences
- Once filtered and cleaned, we upload handles and email addresses to create customized and segmented Audiences
- Target and re-targeted for strategic objectives
04 Optimization & Reporting
- A/B Testing takes place to ensure the right Custom Audience List is used in the right context, with the right creative.
- Ensure that content is achieving declared objectives
- Audience lists are validated for the highest impact
- Maximize identified KPIs
- Targeted and measurable conversions
- Increased and sustained follower growth and community engagement
05 Results
- Using Twitter Targeting tools: 61,791 impressions with 20% engagement
- Using Custom Audience lists: 65,867 impressions with 79% engagement
- Tracktor Beam is consistently showing +100% lift in engagement rate when applying its custom audience lists
- Network-specific cost per conversion: Decreased by 15-20%