Advanced Algorithm. Insights at Scale. Better Brand Tracking
Our algorithm produces lower margins of error so you can act with confidence when making marketing decisions
Audience precision that allows you to segment the data by your chosen target characteristics with representativity and reliability in the data.
Better quality insights that are more closely aligned to real-world changes
Quality answers from the right audience
Behind our machine learning there is a team of data scientists and researchers providing detailed insights on your brand's health and campaign performance. Latana's algorithm learns over time ensuring reliable and precise results that help you make better marketing decisions.
Our algorithm considers every wave of data to learn the difference between outliers in the data variance and real-world movements. This removes the noise from a dataset to help detect realistic brand trends
How We Do It
Stable Sample Composition
Our algorithm inputs many audience characteristics used to predict KPI outputs. Not only does this allow for more granular and reliable audience segmentation than quota-sampling can, it also ensures stability in your sample composition over time.