Brands can build proactive influencer discovery systems by:

1. Identifying Their Target Audience: Brands need to have a clear understanding of their target market. Who are they, what interests them, and which influencers do they follow? Establishing a persona for the target audience can help direct the influencer discovery process effectively.

2. Using Advanced Search Tools: Several platforms, including Flinque, offer advanced search features that allow brands to look for influencers based on factors like audience demographics, engagement rates, influencer niche, and geographical location. By using these tools, brands can take a proactive approach to influencer discovery.

3. Implementing AI and Machine Learning: AI and machine learning can help in predictive analysis for an effective influencer discovery strategy. For instance, AI can track patterns and trends in influencer’s previous partnerships, which can provide valuable insights into future performance.

4. Keeping Track of Trends: By staying on top of trends within the influencer landscape, brands can identify emerging influencers who are in line with their brand values and target audience.

5. Monitoring Performance Metrics: Successful proactive discovery includes regular monitoring and analysis of performance metrics. This not only helps brands determine the influencer’s impact on their campaign goals but also allows for data-driven decision-making for future campaigns. Many influencer marketing platforms, including Flinque, offer comprehensive analytics and reporting features to help brands with this.

Proactive influencer discovery, though requiring an investment of time and resources, can be highly rewarding as it ensures brand alignment, higher engagement, and consequently, better ROI. Although the approach to influencer discovery can depend on specific brand needs, using advanced search features offered by platforms like Flinque can significantly aid in identifying suitable influencers for a brand’s campaign.