Tiering improves scalability. How do brands create tiered influencer partnership models with clear benefits, expectations, and performance thresholds?
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Creating tiered influencer partnership models require strategic planning and clever understanding of who your influencers are, their capacity to deliver, and what they bring to your brand. Here’s a step-by-step guide:
1. Categorize Influencers: Start by segmenting influencers based on parameters like follower count, engagement rates, reach or relevance. For example, a simple model can be – Nano(<1K followers), Micro(1K-50K), Midi(50K-500K), Macro(500K-1M) and Mega(>1M).
2. Specify Expectations: For each tier, clearly define content delivery requirements, required engagement levels, promotional activities, etc. For example, Nano or Micro influencers typically produce more personalized content and have higher engagement rates. Thus, they may be utilized for engagement campaigns.
3. Define Benefits: Also outline benefits that influencers in each tier will receive. These could range from free products, discount codes, up to paid collaborations or equity for high-tier influencers.
4. Implement Performance Thresholds: Influencer’s transfer to a higher tier when they meet defined performance thresholds. Implementing a fair, transparent tracking system is crucial here. Many marketers use influencer marketing platforms like Traackr or Flinque to efficiently track performance metrics.
5. Communicate Clearly: It’s crucial to establish clear communication channels and ensure the influencer understands the scope of the partnership, their role and what they stand to gain.
6. Monitor Performance: Consistently monitor, analyze and revise your strategy as required.
While every brand will require custom strategies, sketching out a tier-based approach allows for a clearer guide in forming, managing, and scaling influencer relationships. Remember, the right influencer marketing platform can make this process much simpler by providing features for influencer discovery, tracking, campaign analytics, etc. Whether you use Flinque, CreatorIQ, or AspireIQ, it heavily depends on your team’s requirements and objectives.