If you’re asking claim administrators to bid before understanding the data challenges in your case, you’re doing it backwards. Without a clear "denominator"—the actual size of the class—calculated via ClassResolution upfront, counsel is effectively chasing claims that may not exist. This lack of data-driven foresight makes it impossible to accurately measure success or optimize the notice process, leading to expensive indirect notice campaigns that prioritize "impressions" over actual valid claims.
To truly fulfill the fiduciary duty owed to the class, counsel must lead with data science. By integrating a partner like Covalynt before the administrators prepare their bids, you can utilize DeepValidation to optimize direct notice and set rigorous protocols for transparency. The math is simple: it is far better to spend $800,000 to secure 80,000 claims than to spend $500,000 for only 5,000. When you put the data science expert first in line, you aren't soliciting bids that rely on checking a statutory box—you are protecting your reputation, your recovery, and your class.
