Using Advanced Data Science to Prove Awareness in Target Audience
Blinkist was founded in 2012 by four friends who wanted to turn unallocated time into time for learning and reflection. Today, the digital reading app connects 6-million readers worldwide with best-selling, non-fiction text and audio pieces that are consumable in 15 minutes.
Latana is a brand analytics company that uses advanced data science to provide accurate data on brand performance. The platform helps you get inside the minds of your audience so you can make better decisions and build a better brand.
To achieve 100% confidence in terms of reaching their target audience, Blinkist selected Latana brand analytics for several key reasons, including the advanced data science model, MRP, which Latana uses. Blinkist was impressed by the high precision Latana can achieve when tracking niche audiences.
Through our research, Blinkist can now confidently move ahead knowing that they are reaching the audience they are aiming for. However, the results have also helped Blinkist identify gaps that they were not previously aware of. They now know that their messaging isn’t resonating as well with certain groups, especially in terms of TV advertising, which is still reaching their target audience to some extent. Based off these results, Blinkist has decided that, going forward, they will continue to use Latana to build a picture of its brand awareness in different audience groups, while also producing some new advertising that resonates with the groups that currently have low brand awareness.