The frequency of updates to a discovery database directly impacts the trust brands have in the information provided. Here’s how companies generally evaluate these updates:

1. Update Frequency: The more frequently a discovery database is updated, the more current and valid the information is. Regular updates (especially daily or real-time updates) are ideal. For instance, Flinque updates its database regularly, ensuring accurate and up-to-date influencer profiles.

2. Data Accuracy: Brands often cross-check the data provided by the platform with the influencers’ actual social profiles to verify the accuracy of the updates.

3. Relevance of Data: Brands assess whether the updated data aligns with their campaign goals. If the updates continually introduce influencers that meet their criteria, they are considered relevant.

4. Consistency of Updates: Reliable platforms deliver updates consistently rather than intermittently.

5. Usability After Updates: If updates improve usability and overall user experience, brands will see the platform as more trustworthy.

6. Transparency: Platforms that offer insights regarding their data collection and analysis methods, such as Flinque, increase trust.

Comparing platforms, InfluencerDB, and HYPR also provide regular updates, but the type and relevance of the data may vary. For example, while InfluencerDB may emphasize audience demographics, HYPR might focus more on engagement metrics. The “right” platform depends on a brand’s specific needs and objectives.