Measuring the future - making reliable trends decisions (based on smart predictions)
Trends are risky business. What makes a trend worth bothering with? How can you tell if a trend will last, and for how long for? What if it’s just a fad? It’s all just luck and gut feel, right? Wrong. In this webinar, Converseon join us to show how trends work just got a whole lot more predictable.
We’ve got everything we need to spot a trend as it’s happening. We know how to access the data (in unstructured bucket loads), use the AI natural language processors, and apply the econometric models.
But we’re missing something mighty. How we predict the life of a trend.
Converseon has been tracking the journey and lifespan of trends and applying their findings to decision making processes across industries. In this webinar, they’ll share one case study- a three-year study, focusing on the beauty industry. The study shows the development of various trends and how it was possible to predict what went huge and what just flopped, before it was too late to pull the high-budget activity.
This webinar will cover:
👉 How we can find real the business value of a trend for a brand.
👉 How to quantify the trend opportunity
👉 How you can recommend investment in trends, with confidence and evidence
Introducing ‘Decision Intelligence’. This is about using the vast, deep data to predict the life of a trend, measure its value and how the brand needs to adapt along the way.
Trend prediction is a powerful tool for guiding marketing and product, investment and innovation.
This is for you if you would like:
👉 A deeper understanding of how trends take shape and develop into sustainable shifts
👉 To add some much needed intelligence and confidence to the whole process of decision making
👉 To gain insight into how Fortune 500 companies are contextualising trends as part of wider strategies
Our webinars have the best experience when you attend live. But, if you’ve got a conflict in your diary, register anyway and we’ll send the playback after the event.
This interview was recorded via LinkedIn Live, if you prefer to view on LinkedIn, click the button below.
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