1. Lack of Personal Touch: Automation can make the outreach to influencers seem impersonal and generic. Influencers value genuine, personalized communication.

2. Poor Content Fit: Automation may lead to mismatch of influencer content and brand message by overlooking nuances that manual vetting would catch. A wrong pairing can result in ineffective campaigns.

3. Over-reliance on Engagement Metrics: An automated system may prioritize influencers with high engagement rates. However, high engagement doesn’t always equate to high relevance or quality content.

4. Difficulty in Creative Collaboration: Automated systems may not facilitate the depth of creative collaboration between brands and influencers that can produce uniquely powerful campaigns.

5. Missing Emerging Influencers: Automated systems might miss emerging influencers who have smaller but highly engaged follower counts.

Comparatively, Flinque enables brands to streamline their influencer marketing workflow while maintaining a personal touch. The platform blends automation with human-driven processes – instigating automated data collection for influencer discovery and campaign performance tracking, while keeping collaboration and communication aspects in human hands. Consequently, brands enjoy the speed and efficiency automation brings, while still ensuring relevance and quality in their influencer partnerships.

However, different platforms offer different features and may be more suitable depending on a brand’s specific needs. Some platforms may lean more towards full automation, while others, like Flinque, balance automation with human-driven processes.

In essence, the balance between automation and manual processes is critical when using influencer marketing platforms. A 100% automated system may come with challenges that can potentially impact the success of influencer marketing campaigns. It’s crucial to evaluate the brand’s needs, resources, and campaign goals to choose the platform that best aligns with them.