Every marketer knows the challenge: your customers discover you through multiple touchpoints, but tracking the true impact of each channel is complex. Today, we're excited to announce Multi-Tier Reclass, a new feature that gives you totally new control over your attribution data. This is the first step in our vision for seamless attribution – by helping you clean and structure your data today, we're laying the foundation for automated, intelligent attribution tomorrow.
The Simulcast Attribution Challenge
Modern media has no boundaries. When a customer mentions "Howard Stern" or their favorite content creator, was it from a podcast episode, a YouTube clip, Instagram story, or TikTok? With content simulcast across platforms, attribution becomes a maze of scattered data. The same show or creator might appear under Podcast, YouTube, Social Media, and "Other" – making it impossible to measure true ROI without proper categorization.
The Power of Two-Tier Attribution: Both Forest and Trees
At Fairing, we believe attribution data is most powerful when it captures both the high-level channel and specific source – like "Facebook → Facebook Ad" or "Podcast → Howard Stern Show". This concatenated pair structure allows analysis of broad channel performance while maintaining visibility into specific campaigns and creators.
Introducing Multi-Tier Reclass
Multi-Tier Reclass solves this by allowing you to maintain both high-level channel data (Podcast) and specific source information (Howard Stern) when reclassifying responses. This means:
- Accurate Channel Attribution: Consolidate scattered mentions of the same source under the correct channel
- Granular Performance Analysis: Compare performance across specific shows, creators, and ad placements
- Preserved Data History: Maintain detailed source information while standardizing your channel structure
Real Outcomes
Early adopters are already seeing the impact of consolidated attribution data:
- Lower CAC: After accurately attributing scattered mentions, one customer's podcast CAC dropped from $40 to $20.
- Revenue Impact: After consolidating cross-platform mentions, hard-to-measure channels like podcasts and influencer content showed up to 2x higher revenue.
- Better Audio/Creator ROI: Companies running simulcast campaigns (podcast + YouTube + social) gained clear visibility into creator performance across platforms
See the difference
Our new analytics comparison view makes it easy to understand the impact of reclassification. Watch your attribution data transform from scattered data points into actionable insights to drive your marketing strategy.
Getting Started
Multi-Tier Reclass is rolling out to all customers over the next few weeks. While the process is manual to start, we believe in giving you control over your data classification. It's easy to get started:
- Visit your Analytics dashboard
- Look for the new "Follow Up Response" column in your Responses tab
- Consolidate your attribution data for more precise insights
Ready to get the full picture of your marketing attribution? Sign in to your Fairing account →
Training Tomorrow's Attribution
While manual reclassification is powerful on its own, it lays the groundwork for something bigger. Every reclassification choice you make helps train future machine learning classification models. You're not just cleaning your data – you're creating a sophisticated data map that will power automated attribution in the future. The more you use Multi-Tier Reclass today, the smarter your attribution will become tomorrow.
Have questions about Multi-Tier Reclass? Check out our documentation or reach out to our support team.
