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Nillion doesn't really offer anonymization of data, despite the marketing — their products are more about storing encrypted data. Even their query processing is overstated: it does matching for query lookups with salted hashes, and the only aggregation supported is summation.
Teams that use analytics need far more than this, and generally what they want to infer, like your above scenarios, are too complex for their offerings. It is possible, however, to meaningfully measure impact without invasive analytics, even if it is harder. As an example, if you're selling a physical product, and you're paying for hosting, if the cost of hosting is based on usage, and sales are not increasing despite usage increasing, you know your conversion is poor. This isn't necessarily the fine grained data many companies have grown accustomed to having access to, but as users, we should be asking more often why they feel the right to have it. 1 reply
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