🔗  Treatment Cost

Treatment Cost#

The cost of applying an intervention to a unit in an experiment or campaign.

Important

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What it is#

In causal ML and uplift modeling, treatment cost is the expense of applying an intervention to one individual, customer or unit — the per-unit cost of sending a coupon, serving an ad, granting a discount, or administering a drug. Summed over everyone treated, it becomes the total cost of the campaign.

The formula#

Per unit it is simply the direct cost of the intervention per customer; in total,

\[\text{Total Treatment Cost} = \text{Cost per unit} \times \text{Number of Treated Customers}.\]

A worked example#

A retailer sends a $5 coupon to 2,000 customers, so the per-unit cost is $5 and the total treatment cost is 2,000 × 5 = $10,000. If that campaign produces $15,000 in incremental revenue, the net incremental profit is 15,000 − 10,000 = $5,000.

Why it matters for uplift and ROI#

Treatment cost is what turns raw uplift into profit. Incremental revenue is the extra money earned; treatment cost is what was spent to earn it; the difference is incremental profit, and the ratio is the ROI of treatment. Tracking it prevents targeting customers where cost exceeds benefit, enables profit-based (not conversion-only) uplift modeling, and forces attention on net value rather than gross outcomes.


Theme: Causal Inference & Uplift  ·  All terminology



See also

Source article Adapted (context, re-expressed) in our own words from: Treatment Cost (insightful-data-lab.com).

Tags: purpose: reference topic: terminology level: advanced