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Ignite Growth with Collective Innovation
Ipsos, one of the world’s leading market research companies, announces today the launch of Collective Innovation, an end-to-end offer designed to help businesses accelerate their innovation development with higher success rates.
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Misfits and the Machine: Why AI alone can’t crack creative effectiveness
In the second of our AI in Advertising papers, we explore the benefits and limitations of using AI in ad development.
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AI-Driven Product Testing powers up Innovation in South Africa
AI allows for accelerated product development cycles.
Human insight remains indispensable.
Vital to ensure market insights are both accurate and culturally attuned. -
Where brands and retailers should place their bets this holiday shopping season
Inflation, the environment, Covid-19 and the war in Ukraine are all forces brands and retailers must consider ahead of Black Friday and Christmas shopping.
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Ipsos Update - September 2022
Ben Page opens this month’s edition of Ipsos Update with his reflections on a global environment of continued uncertainty. Between heatwaves and the continuing rise of inflation – a dark cloud overshadowing many of this month’s articles – consumer anxiety is evident.
We also focus on creativity in advertising and learn how behavioural science can lead to more successful product testing, alongside new global surveys exploring the public’s views on the most trustworthy professions and the legal status of abortion. -
We’re more than our senses: Taking product development to the next level
The total product experience is driven by more than just sensory signals.
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Beyond the Hype: Innovation predictions in the era of Machine Learning
Artificial intelligence (AI) has grown in popularity in recent years. Voice and facial recognition software is developed in all technical gadgets. In this context, we are also beginning to see how AI can also alter market research, resulting in faster, cheaper, and better results.
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Towards more agile and efficient product testing
Opportunities and limitations for small sample sizes