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FAQ’s

FAQ’s
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APPROACH & METHODOLOGY

Who are Black Swan Data’s competitors?

We see ourselves at the forefront of a new research-technology market that uses Big Data and applied data science to unlock rich consumer insight and accurate trend predictions from digitally generated consumer content. Given we are one of the only providers of this type of capability, we compete against many different types of companies - all of which don't do exactly what we do or as fast as we can do it, but offer services that solve a similar use case for our clients.

What is Social Prediction?

Social Prediction uses AI and data science to go beyond monitoring what’s currently being talked about by consumers to accurately predict what will be most important to them in the future. We achieve this by building consumer defined category datasets from the ‘bottom-up’ and apply predictive models which can identify new and emerging trends 6+ months earlier than any other trend methodology.

Does your approach replace traditional research methods?

Our methodologies surface insight from ‘actual’, unprompted consumer behaviour via Social data. Our proprietary AI and algorithms use this data to identify and rank each and every trend in your category based on its future predicted value. This is how we scientifically distinguish between a fad and a trend, making it easier to determine when and how to act. Traditional research has both its advantages and disadvantages, but by asking consumers direct questions which are pre-emptive by design, you leave yourself open to blindspots.

What sectors do you operate in?

We focus on the Consumer Goods, Quick Service Restaurant and Travel sectors but our tools and processes have the potential to be applied to any sector. Put simply, if consumers are talking about a topic online, then we can analyse that conversation for business intelligence.

How are you different from social listening?

Social listening monitors what is currently happening in digital conversations about pre-determined subjects. We go beyond simply monitoring what you already know. We build consumer defined category datasets that allow us to surface and identify emerging and unknown trends that you otherwise wouldn’t know about. Our TPV algorithm scientifically ranks each trend by its future importance to the category, enabling you to identify white space opportunities 6+ months earlier than any social listening tool is capable of.

Which Consumer Goods categories do you cover?

We can potentially work in any category, so if your category isn’t listed here, fear not. Get in touch and we’ll see how we can help. Our expertise: Packaged Food; Non-Alcoholic Beverages; Alcoholic Beverages; Skincare; Cosmetics and Household.
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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.

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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.

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Snacking Predictions Report

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