Mavens is an insights and strategy consultancy with years of experience in providing innovative research, measurement, analytics, SEO and digital strategy to some of the world’s largest brands.
With a client list that includes global companies Unilever, Philips, the Asahi Group, Essity, Pfizer and Diageo its efforts and data sources span all countries and languages.
Mavens combines custom development with enterprise-grade data tools, conducting bespoke qualitative and quantitative research to deliver actionable insights that help make businesses better.
Mavens has been working with Brandwatch Analytics for a number of years, and more recently, with Brandwatch Audiences.
Great marketing starts with understanding your audience. Whoever you’re looking for, Brandwatch Audiences makes it simple to find groups of people based on what matters to you – their demographics, passions, professions, where they’re based, and who they engage with.
In this article we speak with Taylor Behmke, Senior Consultant at Mavens of London about how his team in New York City uses Brandwatch Audiences to better understand specific audiences.
Hi Taylor, it’s great to talk to you! Can we start by asking what challenges were you looking to overcome by using social listening?
We wanted to understand how a specific, target audience of new mothers discussed motherhood, where they got parenting information, and who was influential for this target audience. New mums were classified as women who are pregnant with first child or any/all children three or younger (i.e. mothers who are new to the experience of child-rearing).
We were working on a research project for a client who was preparing the launch of a new skincare product line for infants, a segment they had not catered to in the past.
The goal of the research was to understand the habits and attitudes of new mothers and prepare actionable insights to brief creative and media agencies more effectively.
What KPIs you were looking to achieve?
We needed to build a large enough sample of new mothers to analyze on Twitter to feel confident in the significance of our insights.
When we first approached this task we used a regular Brandwatch Query to look for language being used that indicated the person was a new mother (e.g. hashtags like #newmom, #firstpregancy, #mothertobe, etc.)
Through this method, we did not get a large enough sample, so we decided to build on this sample using Brandwatch Audiences to find similar terms in people’s Twitter bios.