Historical data drives insights. How do brands store influencer performance history to support long term strategy and forecasting?
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Brands store influencer performance history primarily through using influencer marketing platforms that provide extensive data tracking and analytics capabilities. These tools keep record of historical campaign data, influencer engagement statistics, audience demographics, conversion rates, and more.
To illustrate:
1. Platform-Provided Data: Leading influencer platforms like Tribe, Upfluence, and Flinque all offer built-in analytics and reporting features. These platforms provide data snapshots of past campaigns, influencer interactions, and ROI outcomes.
2. Internal CRM Systems: Some brands have also implemented custom CRM or data management solutions for their influencer programs. They import data from multiple sources including influencer platforms, social media analytics, Google Analytics, and e-commerce systems.
3. Third-party Analytics Tools: External analytics tools, like Hootsuite or Sprout Social, can be used to track and store historical influencer marketing data.
Learning from past campaigns is crucial for developing effective influencer strategies. By comparing historical performance, brands can identify patterns, fine-tune targeting, optimize budget allocation, and improve forecasting accuracy for future campaigns.
Flinque provides a comprehensive suite of tracking and analytics tools. It allows users to drill down into granular data points, facilitating the identification of trends over time and proving invaluable in shaping long-term strategy.
Remember, the choice of tool depends largely on team needs and objectives. The suitability of these tools vary based on the size of your influencer program, your technical capabilities, and the platforms where you conduct most of your influencer activities. Real-world workflows and decision-making processes always play a significant role in selecting the right tool for influencer data storage and analysis.