Please rotate your screen

FAQ’s

DATA

What do you mean by irrelevant content?

Our goal is to set a new industry standard for Social data in terms of how clean, useful and reliable it is. To achieve this we spend a huge amount of our time and resource removing irrelevant noise and content from Social data. For example, if a beverage brand wants to understand how the Lemonade conversation will evolve, all irrelevant content - like Beyonce’s album of the same name - needs to be first removed. Otherwise, the data will be skewed and our subsequent predictions will be less accurate.

What data sources do you use?

A variety of publicly available Social data sources including: Blogs (e.g. HuffPost), Message Boards (e.g. Reddit), News Sources (e.g. The Wall Street Journal), Reviews, (e.g. Amazon reviews) and Social Networks (e.g. public tweets from Twitter). We can also utilise our specific regional social data partnerships such as Sina Weibo in China and VK in Russia.
NEXT TOPIC
#69
#822
#325
#3147

Your question not here?

Get in touch


Thanks

We’ll be in touch soon. Until then, here’s some reading to whet your appetite.

This may sound odd coming from me, as I am the Chief Data Officer for Black Swan Data, and it may be stating the obvious for others, but I’ve always found that even things that are obvious are easy to forget and are worth repeating — this job is not about data.

FIND OUT MORE

Customers are changing the way they’re viewing and consuming snacks. We’ve not only seen a long-term increase in snacking itself but also a shift in the reasons behind why shoppers are grabbing a bite or beverage.

FIND OUT MORE

The Vitamins, Minerals and Supplements category has never been healthier. Fuelled by Covid, the category’s heartland of immunity and prevention has seen a huge resurgence amongst both core and new consumers over the last 18 months.

FIND OUT MORE
popup background

Snacking Predictions Report

Download Now >
x popup background