It started with a problem.
Systematic product sampling as a marketing technique developed with the growth of packaged consumer goods in the nineteenth century. Benjamin T. Babbitt, a soap manufacturer, distributed free samples of his B.T. Babbitt's soap starting around 1851 — one of the first documented commercial sampling campaigns in the United States. Babbitt also introduced product labels and included coupons in packages that could be exchanged for gifts — innovations that combined sampling with loyalty mechanics. The growth of national branded goods in the late nineteenth century accelerated sampling as a strategy for building awareness among consumers unfamiliar with a new product.
Historical sources below ↓Then something changed.
Product sampling changed the economics of new product adoption. The cost of trying an unknown product — financial, time, risk of disappointment — prevented many potential customers from ever trying it. A free sample removed the financial component of that cost, reducing the barrier to a single act of will. If the product performed as promised, the customer had direct experience to overcome skepticism. If it did not, the customer had lost nothing. The economics of sampling compared the per-sample cost against the expected conversion rate and the lifetime value of converted customers. When lifetime value was high relative to sample cost, sampling was profitable even at low conversion rates.
What a builder can learn.
Our interpretation: sampling is a bet on product quality. A business that samples its product is claiming: try it, and you will be persuaded. A business that refuses to sample may be signaling either that the product does not persuade through direct experience or that the customer relationship is not valuable enough to invest in. For a business builder, the free sample or trial logic applies to any product or service: if customers who try it are more likely to buy, removing the trial barrier should accelerate adoption. The relevant question is whether the cost of the sample is justified by the expected lifetime value of customers who convert.
A door still open.
A hypothesis worth testing: if a small business offered a meaningful free sample or trial to one hundred potential customers over the next sixty days — a free first session, a free product unit, a free initial service — and tracked how many converted to paying customers, would the cost-per-acquired-customer compare favorably to other acquisition methods the business currently uses?
If potential customers could experience your product or service for free with no obligation, what fraction would decide to pay for more — and is that fraction high enough to make sampling economically rational?
Follow the evidence.
History is sourced below. Business lessons are editorial interpretations; future possibilities are questions to test, not predictions.
Prepared from primary-source histories. First edition: 25 Sept 2026.