How to filter sample requests: beyond qualifying questions

At Sampl, our commitment to getting your product samples into the hands of the right consumers has been evident since our launch. We implicitly understand the importance of efficiency, improving conversion rates, and ensuring your samples reach those most likely to become paying, and reviewing, customers.

However, as the leading platform for targeted sampling, we know you want more than just pre-request surveys. Now, we go beyond asking questions to reach your target audience, with integrations that include AI and AR tech, geographic filtering and more.

Qualifying questions recap: 

Our customisable audience filtering system, SamplMatch, serves as a powerful tool to filter out individuals who may not align with your product, ensuring that only the most relevant consumers request a sample. So, how does it work?

1. Qualifying questions are tailored to your specific requirements. We collaborate with you to identify the most effective questions that will pinpoint the best consumer filtering for your product.
2. When a target consumer clicks the call to action on your sampling ad, they answer tailored questions before proceeding. This step is key in determining their suitability for your product samples.
3. After answering the qualifying questions, consumers are either rejected or matched for a sample based on their responses. This ensures that only target consumers for your product receive a sample, maximising the impact of your D2C campaign.
   

Going beyond qualifying questions: 

We automatically cleanse and filter sample requests, removing duplicates and verifying addresses, but Sampl does more – we offer qualifying and filtering integrations, and media partnerships to better target your target demographic.

• Collaborative campaigns: We utilise core partnerships, like working with PerfectCorp for makeup campaigns, enabling users to choose their perfect shade through AI and AR technology.
• Geographic location: Utilised NearStore for precise geographic filtering, ensuring users are near stores stocking your product.
• Request optimisation: Automatically cleansed and filtered sample requests, based on campaign duplicates and verified addresses.
• Hunter database: Sampl automatically uses an anonymous hashed database to eradicate freebie hunters and irrelevant audiences.

Not only this but we now offer AI generated charts to allow your team to generate marketing reports on the fly using the qualifying questions and brand integrations you’ve included in your campaign – which we’ll discuss in a future post!

What should your request filters consider?

The data you consider for your audience depend on your product and brand, its key features, the problems it solves, and your ideal target audience. While we understand your approach will always be unique, here are a few examples:

1. Previous product use: Inquiring about prior use is valuable, especially if you aim to target brand-new customers. Those who have used your products before might receive a different offer if applicable. 
2. Purchase frequency: Understanding how often someone purchases similar products helps gauge their interest and provides insights into potential customer lifetime value and post-trial purchasing habits.
3. Demographics: Pinpointing your audience demographic ensures samples go to the exact age or location, this can also be used to see if ad targeting is working well, and so is a key choice when deciding on qualifying surveys.
4. Consumer insights: Asking about skin conditions, allergies, dietary choices or any other consumer preference can allow you to offer the exact SKU that serves each person who requests a sample.
5. Budget considerations: Understanding of a consumer’s budget ensures that you only send samples to those with the financial capacity for your brand.

These systems, combined with your qualifying questions, ensure every sample sent is guaranteed to make a meaningful impact on your campaign. It also acts as an opportunity to gather consumer insights for your product research and development teams. 

So, if you’re interested in knowing more about targeted sampling campaigns, contact us today at sayhello@sampltech.com or book a call here to optimise your sampling strategy and connect with the consumers who matter most.