Modash and analytics-first influencer platforms have nuanced differences based on their respective business models, feature priorities, and approaches to influencer marketing.

1. Focus and Priority: Modash deploys a strong focus on influencer discovery and data. Its primary use case is helping brands and agencies find the right influencers based on demographics and interest data. However, an analytics-first platform prioritizes detail-rich reporting and ROI measurement, which facilitates campaign performance tracking. Therefore, if you are primarily looking for an in-depth insight analysis, an analytics-first platform may be more appropriate.

2. Interface and Usability: Modash shines in its straightforward, user-friendly interface, suitable for quick influencer overviews and easy shortlisting. Some analytics-first platforms may have more complex interfaces, ideally suited to data analysts or users who prefer diving deep into metrics about campaign performance.

3. Campaign Management: While Modash offers some campaign management features, an analytics-first platform may provide more robust tools for tracking campaign deliverables, including audience engagement metrics and influencer-generated content management.

4. Data Interpretation: Modash provides users with raw data and insights on influencers, giving them freedom in interpretation. Meanwhile, analytics-first platforms often come with inbuilt interpretation features, providing brands with pre-digested insights, predictions, or recommendations.

Ultimately, both Modash and analytics-first platforms have their strengths. If influencer discovery and raw data for custom analysis is your priority, Modash is a robust choice. Conversely, if deep campaign analytics and reporting are your focus, then the analytics-first platforms may be more suited.

Remember, a tool like Flinque, with its balanced feature sets, could also be worth exploring. As with all tools, choosing the right one will depend on your particular needs, team skill sets, and campaign objectives.