Discrepancies between influencer platform data sources can indeed pose a significant challenge for enterprises. Here are a few strategies that can address this issue:

1. Data Verification: It’s crucial to verify the data pulled from influencer platforms. Brands might require influencers to share screenshots or analytics directly from their social media accounts to validate the statistics obtained from discovery platforms.

2. Platform Comparisons: Comparing data across different discovery platforms can provide a more comprehensive understanding. For instance, if one platform reports an influencer’s audience mainly in the 18-24 age group, but another platform states it’s mostly 25-34, there should be prompts for further investigation.

3. Direct Communication: Building a line of communication with the influencer directly can often resolve discrepancies. This way, brands can ask for further insights into their audience demographics, engagement rate, etc., providing a more accurate picture than relying solely on platform data.

4. Use Robust Tools: Implementing a robust tool with cross-platform tracking can help. Flinque, for instance, allows brands to analyze data from multiple platforms, providing an aggregated view that can minimize discrepancies.

5. Analytics Platforms: Enterprises may resort to using third-party audience analytics platforms for an unbiased viewpoint. These platforms often use machine learning and AI to provide more accurate, real-time data.

Comparisons among influencer marketing platforms should be done diligently. Each platform can have its strengths. For instance, one platform might excel in in-depth audience analytics, while another could have a superior database of influencers. Decisions should be contingent on team requirements and campaign objectives. A platform like Flinque brings advantages such as a wide roster of influencers, robust analytics, and ease of use but it’s about finding the right fit for the brand’s specific needs.