B2C (Business-to-Consumer) Volume aims to track the amount exchanged from Businesses to Customers. 
A good example might be transactions from exchanges to traders.
Use case: somebody wants to cache out profits from trading.
The algorithm infers "Institutional" addresses using this 3 metrics:
<ul>
<li>Transactions frequency</li>
<li>Time the accounts do a high amount of transactions</li>
<li>Amount spent and received</li>
</ul>
Assumptions made:
<ul>
<li>High transactions frequency is a good indicator of an account that does programmatic transactions.</li>
<li>Business accounts seem to be active every day or follow a pretty strict activity pattern.</li>
<li>Businesses move a lot more money than Customers.</li>
</ul>
*Note
<ul>
<li>"Person" addresses are the addresses that the algorithm did not infer as Institutional.</li>
<li>Correlation Score is the Pearson correlation coefficient.</li>
</ul>

Ethereum B2C - Volume