Digital Data Analysis
Understanding what today’s consumers talk about your brand, category and competitors online on different social media platforms, forums, blogs, and review sites is crucial component in building a leading brand. We can monitor and filter out the relevant online conversations, posts, and reviews to your brand from all major social media platforms and countless websites and forums.
We analyse digital data channels that is comprehensive in coverage (e.g., includes major Chinese social media platforms and language support) and fully customizable to your brand’s needs, whether it is for a quick check into the social media footprint and buzz for your brand, category, or competitors, or a continuous social media tracking program, or measuring the success of a social media campaign.
We bring our research alive by harvesting rich and in-depth insights from our global pool of affluent consumers through different qualitative techniques, such as:
- Focus Group Discussions (FGD)
- In-Depth Interviews (IDI)
- Online Bulletin Boards
While online and quantitative techniques work well with research on the affluent consumers, when facilitating a conversation with High Net Worth (HNW) and Ultra High Net Worth (UHNW) individuals, we conduct research on one-on-one basis often meeting the consumers at their convenience, at a venue of their choosing.
We have a network of industry experts and key opinion leaders (KOL) who we reach out to for their valuable insights and inputs. These individuals are often in a front row seat to observe consumer trends and industry developments, and these insights are incorporated into our reports to help build a holistic understanding of market dynamics across luxury, travel, marketing and hospitality categories.
A team of experienced data scientists can help with your needs for specialized projects requiring advanced analytics. Analytic Studies we conduct include:
- Media-Mix Modeling
- Social Media Analytics
- Customer Segmentation
- Prediction Analytics
- Churn & Recommendation Engine Analytics