Introducing... SamplMatch

Are your samples reaching the right people?

Sampling is one of the most effective tactics in marketing. But if the wrong people get your samples, you're wasting time and budget. That happens more often than it should, as a lot of traditional sampling methods are broad and inefficient. When brands want scale, they often have to compromise for audience quality.

And that's why we created our SamplMatch technology.

It works to only get samples into the hands of people who are actually likely to buy. So brands get more of the right people trying their products and less waste.

_.

What is SamplMatch?

SamplMatch is our own proprietary technology, built for marketing teams who want to make sure that samples reach more people. It checks every request that comes in, filters out serial samplers or freebie groups, and stops links being passed around or shared. It also blocks duplicate requests, fake emails, and anyone who's tried to game the system before.

It learns from every campaign and can be shaped to fit your brand’s goals, so your samples always go to the right people.

It’s designed to help brand teams spend and scale sampling with more confidence, knowing that their samples are going to the right people, every time.

_.

Core features of SamplMatch

It checks every request
SamplMatch reviews each sample request and filters out anyone who doesn't meet your criteria. That includes known freebie hunters, past abusers, and anyone not right for your brand campaign. You get fewer wasted samples and better data from the right audience.

It stops duplicates
It’s common for people to try and get more than one sample. SamplMatch spots these attempts by checking details like name, address, email, and IP. Each sample goes to a unique, verified person.

It tracks engagement history
SamplMatch doesn’t just look at who’s asking for a sample, it checks how people have engaged in the past. This helps identify genuine interest versus casual or opportunistic behaviour.

It checks where the request came from
Sampling links often end up in places they weren’t meant to be, like discount or deal sites. SamplMatch tracks the source of every request and removes those from unapproved or low-quality channels.

It lets you set the rules
You can tailor SamplMatch to meet your specific campaign goals. That includes bringing in your own data or logic to help decide who gets a sample, and even which variation of a product they receive. It’s flexible enough to fit around your objectives.

_.

How brands are using SamplMatch

There’s no one-size-fits-all approach. Here are a few examples of how brands are using SamplMatch in practice:

• A luxury fragrance brand who want to sample to people who typically spend over a certain amount on perfume
• A skincare brand targeting people with oily skin
• A dog food brand focused on dog owners who already buy natural pet products
• A fragrance brand who have five different scents and wants each person to receive the one that suits them best

We work with brands to define what matters for their campaign. Whether it's spending behaviour, skin type, lifestyle, or product preferences, SamplMatch can be set up to match the sample to the right person, and protect your budget while doing it.

_.

Why it matters

Every sample you send costs money. If it doesn’t lead to action, that money’s gone. SamplMatch gives you more control. It helps you focus on people who actually want what you’re offering, and are more likely to buy it. That means higher conversion, better data, and more impact for the same budget.

_.

Getting started with SamplMatch

1. Set your audience criteria
   Define what your ideal customer looks like. We can help tune SamplMatch using past campaign data or external inputs.
2. Launch your campaign
   Once your profile is set, SamplMatch takes care of the rest. It checks every request in real time and approves shipping samples only to people who meet your criteria.
3. Track and improve
   Use the live campaign data to see what’s working. You’ll get clear insights on who’s engaging and how that affects your goals, then apply those learnings to future campaigns.