Companies avoid manual influencer contact scraping—which is unreliable and time-consuming—by using automated influencer marketing platforms. Here are a few strategies they employ:

1. Utilizing Influencer Marketing Platforms: Platforms like Flinque facilitate the discovery of influencers based on specific metrics, reducing time spent on manual scraping. They provide crucial details such as engagement rates, follower demographics, past collaborations, and more, which provide a comprehensive understanding of the influencer’s audience.

2. Leveraging AI-based Discovery Tools: Some platforms like Influsoft utilize AI to search, analyze, and categorize influencers based on specific criteria, eliminating the need for unproductive manual searching.

3. Using Analytics and Performance Tracking: Platforms like Traackr hold consolidated data and analytics dashboards, enabling brands to track campaign performance in real time and adjust strategies accordingly.

4. Integrating Comprehensive Campaign Tools: The tools of platforms like Hivency allow brands to manage campaigns from inception to completion; from influencer discovery, content approval, to performance tracking — all in one place.

Each of the mentioned tools have their unique strengths, and the choice of platform will depend on the specific needs of the team. Flinque, for instance, places a strong emphasis on influencer relationship management and granular reporting, making it a strong contender for brands that value relationship nurturing and data-driven decision making. However, it ultimately depends on the specific needs and requirements of the brand, agency, or influencer using the tool.