Product
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10,000
samples delivered
71%
purchase intent
68%
new to brand
1,083
verified reviews
About the campaign
Cartier ran a US digital product sampling campaign for its La Panthère fragrance range, including Eau de Toilette, Eau de Parfum, and Parfum.
The objective was to introduce the range to consumers who already buy luxury fragrance, generate credible post-trial feedback, and produce insight that could support future retail and DTC decisions.
This campaign prioritised audience quality and measurable outcomes over scale.
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The Challenge
For prestige fragrance, sampling volume alone has limited value.
Brand and retail teams need confidence that:
→ samples reach consumers who already buy premium fragrance
→ trial generates credible indications of purchase intent
→ feedback is detailed enough to compare SKU performance, understand usage behaviour, and identify which products are most likely to convert to repeat purchase
Cartier’s requirement was clear. Deliver trial to the right consumers and return insight that would stand up in internal and retail conversations.
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The approach
The campaign ran on Meta, with SamplMatch used to validate every request before approval, ensuring samples were only sent to consumers who matched Cartier’s luxury fragrance buyer profile.
By filtering out 70% of requests, Cartier ensured every sample reached a verified consumer, so all feedback reflected real purchase behaviour rather than freebie demand. 100% of samples were delivered to consumers who met Cartier’s target criteria.
Approved recipients entered a structured consumer journey, including brand education, a follow-up survey, and a review request designed to capture product feedback and purchase intent.
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Execution
The campaign delivered 10,000 samples across three La Panthère SKUs.
Each approved participant followed a defined journey:
→ sample request and pre-screening
→ request approval and sample delivery with brand context
→ post-trial survey and review capture
→ follow up messaging directing consumers to DTC
Every sample was allocated deliberately and every response was attributable to a verified consumer.
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Results that mattered to brand and retail teams
Post-trial feedback delivered clear commercial signals.
→ 71% of respondents stated they intended to purchase after trial
→ 69% reported they had not previously purchased Cartier fragrances (new to brand)
→ 1083 verified reviews captured across the range
Using Sampl AI, product-level feedback could be broken down by SKU, making it possible to assess relative performance and usage patterns across the range rather than relying on a single average score.
This structured analysis supported clearer product comparisons and more defensible claims. Retail-relevant insight also emerged. 50% of respondents said they typically purchase fragrance in department stores, reinforcing the role of sampling as a tool to support retail sell-in and in-store conversion.
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What the campaign proves
This Cartier campaign shows what changes when sampling is treated as a measurable, targeted channel rather than a giveaway.
→ Samples reach verified consumers who buy premium fragrance
→ Purchase intent is captured directly from people who tried the product
→ Reviews are generated at scale without incentives or discounting
→ Product and channel insights can support future retail decisions
The outcome is controlled trial that produces signals that retailers and brand teams can trust.
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If you’re facing similar questions around who your samples reach, how trial translates into intent, or how to generate insight retailers can trust, it’s often worth pressure-testing your next campaign early. We’re always happy to share how this approach works in practice and where it tends to deliver the most value. Connect with us here.
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