Though each study is unique, check out the following list of examples of research participants we regularly recruit for Business to Consumer and Business to Business market research studies.
We get really specific about recruiting research respondents. Unlike other firms, we don’t just send out huge blasts hoping a handful of relevant personas take the bait.
Instead, we look with laser focus for the right audience to every study either in our growing and constantly renewed universe of 6,000,000+ panelists or when required we recruit the specific audience.
At Spot On we believe that having the right audience reduces bias and increases data accuracy, in order words the better the people we ask to, the more confident answers we get.
We admit it, recruiting is a tough task and sometimes very tedious that requires a lot of effort, energy and passion, we experienced this for 10 years at the former market research branch of our mother company design:success. During this time we spent tons of human power gathering the right participants in our customers' studies which gave us the chance to learn a lot and evolve it into a smarter way.
Combining the experience we earned with machine learning and data science this is how our current recruiting process looks like.
When recruiting we first focus on reaching potential participants which means that people who may fulfill certain areas of the target profile like the demographic aspect for instance.
Our team along with our customers defines the tribe or audience segment we want to reach, here we set the demographic and psychographic criteria to feed our algorithms engine, true:target.
true:target explores multiple data sources where we can reach the most number of potential participants in less time, using graph algorithms, it identifies the best set of digital channels to reach the target audience.
For Potential Participants outside our panel, true:target, generates Ads sets automatically for the identified digital channels using their APIs. Creating appealing ads for every platform.
true:target can create ads in 12 different languages.
You may be wondering, how does true:target picks the right copy or image for each participant. We use genetic algorithms developed by our team, here is an example of how does this type of algorithm works.
All ads created by our true:target engine takes the participants to a dynamic webpage where they provide their demographic and contact information. This webpage will ask all basic information and as well as any specific criteria required for the study like Medical specialty, type of diabetes, competitor product they consume, etc.
All participants who fulfill the study criteria will be moved to the next stage, in any case, true:target automatically tags all participants that have filled up the form to classify them using IBM Watson.
true:target sends to all participants in this stage a study to perform a series of psychographic tests and digital interviews using true:answer in order to make a perfect match between the participant and the study(ies). This helps us to reduce bias significantly.
At this point not all participants are eligible for a study, we need to make sure the participant truly fulfill the criteria, like the number of times they drink soda in a week, the type of coffee they consume, the Netflix series they watch, and so on.
To make sure we are reducing the bias to the minimum expression, true:target sends them a qualification questionnaire which helps us to qualify the participant to the study and to segment them into groups beyond demographics like vegans, preferred brands, among others.
At this point, participants are ready to perform a study. They are informed immediately and they can go the Spot On App to perform the study, this is the way we gather just the right participants for every study.
Bottom line: our approach to recruiting is targeted, specific, and personalized at scale.
Spot On Participants Recruiting, the secret sauce for successful research.