AI & Market Research
Long before AI became a mainstream topic, I was a protégé of Professor Igor Aleksander in the Neural System Lab at Imperial College, London University. This was during the same period when pioneers such as Geoffrey Hinton, Dave Rumelhart, and John Hopfield were making groundbreaking advances in machine learning and neural networks.
Large Language Models (LLMs), neural networks, and implicit reaction time tests share a common foundation: associative learning.
At Split Second Research, we’ve created an AI platform that goes beyond traditional research. It enables us to:
We are currently offering this service as part of our standard research offering. We have several interesting case studies which we have put together with a description of the AI app (with a brief introduction to neural networks). This six-page report can be obtained on request via the contact form.
You can request the report here via our contact form.
Complete an enquiry form to arrange a meeting with us:
When UK legislation changed to require active opt-in for marketing communications, RNLI faced more than a compliance question. They saw an opportunity to revisit their logo and tagline, and
King’s Favour was winning blind tastings. Regular drinkers consistently rated it ahead of other wines in the category, so the quality was there, but you wouldn’t have known it from the shelf price or the way the bottle sat among its competitors.
The brand team started wondering: was the wine actually the problem? Or was the packaging just failing to keep up with what was inside?
If it was the latter, there might be an opportunity to update the design, move the price, and not lose a single sale in the process, but
By 2010, the media landscape was moving fast. New digital music channels were emerging, and MTV was picking up an uncomfortable signal from conventional research: surveys and focus groups suggested the brand was losing relevance with