Enterprise clients worldwide
Net Promoter Score (NPS™)
We translate raw data into business solutions for you
The most challenging part of any research is interpreting the results. As a partner in your success –and upon your request, we can crunch the numbers for you and create a digestible presentation of findings, so you can easily make data-driven decisions on the fly, and share the results directly from our platform.
Get the full picture with high-quality insights
Our research team applies weightings to address any survey bias, and creates data segments for cross-tabulation.
We canvas your data to identify trends, benchmarks, and opportunities for you to take action.
We categorize hundreds of long-form qualitative comments into themes and apply our sentiment analysis technology for easier classification.
Our experts deliver strategic recommendations and highlights that offer guidance for your decision-making process.
Discover sampling on social networks
Launch your next study via Facebook, LinkedIn, Twitter, and more.
Sampling on social networks is what makes Potloc different
Compare it to traditional research methods
|Main features||Online Panel (CAWI)||Phone survey (CATI)||Intercept survey|
|Incidence rate < 10%||check_circle_outline||check_circle_outline|
|Geo-targeted areas, up to 1km radius||check_circle_outline||check_circle_outline|
|High data quality||check_circle_outline|
|Guaranteed quota sampling||check_circle_outline||check_circle_outline||check_circle_outline||check_circle_outline|
|Non-customer analysis||check_circle_outline Get a quote||check_circle_outline||check_circle_outline||check_circle_outline|
|Online Panel (CAWI)|
|Phone survey (CATI)|
Frequently asked questions
How do you process data?
First, we clean data to ensure quality and robustness. Next, we ensure that it is a representative sample and we apply weighting where necessary to achieve acceptable minimums for the requested sample. Finally, we define robustness for analysis. Our expertise lies in defining which sub-samples are worth analyzing.
What statistical tests do you use to validate data significance?
We use a variety of statistical tests to verify if the sub-sample variation to the mean is statistically significant and relevant to your business problem. Some of these include but are not limited to, linear regression, key square test, correlation, and cross-tabulation.