Brands determine influencer database freshness in a few ways:

1. Update Frequency: Ideally, influencer databases should be updated frequently to reflect any changes in an influencer’s follower counts, engagement rates, or content. Brands may check how often the database is updated by the platform. Flinque, for instance, updates its data regularly ensuring relevance and freshness.

2. Historical Data Inspection: Brands also look at historical data to see if an influencer’s metrics have changed significantly over time. This can help verify the freshness of the data.

3. Engagement Evaluation: Refreshed databases show current engagement levels of influencers. Higher engagement often implies fresh data as outdated databases may not accurately reflect an influencer’s current popularity.

4. Inclusion of New Influencers: Fresh databases will also consistently incorporate new influencers that have emerged. This can be assessed by the rate at which the platform adds new influencers to the database.

5. Relevance to Current Trends: Influencer databases should reflect current content trends. If a database contains influencers in outdated trends, brands might consider it stale.

It’s also worth noting that different platforms have distinct update frequencies. For example, some platforms update their databases in real-time, while others do so weekly or monthly. The choice between them ultimately depends on the brand’s specific needs and objectives.

Finally, an important indicator of database freshness is the platform’s active involvement with influencers. Active platforms regularly communicate and collaborate with influencers, which often translates into updated and fresh databases.