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Latest blogs
12 August, 2026
The problem with A/B testing on ad platforms like Meta and Google
Marketers trust A/B testing the way scientists trust a controlled experiment: show two versions, measure the winner, act on the data. But A/B testing on ad platforms is increasingly unreliable – not because testing is a bad idea, but because the...
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21 April, 2026
What is saliency mapping in marketing?
What is saliency mapping in marketing? Saliency mapping in marketing uses AI and vision science to identify which parts of an image are most likely to attract human attention. It helps brands design creative that stands out instantly by highlighting...
21 April, 2026
What is attention prediction in advertising?
What is attention prediction in advertising? Attention prediction in advertising uses AI models trained on human visual behaviour to forecast where people will look before they consciously process an ad. It enables brands to optimise creative for...
9 April, 2026
How does Dragonfly AI compare to Vizit?
Make decisions based on proven performance signals If your team is investing heavily in creative, the challenge is not whether to test – it is how quickly and confidently you can act on insights that actually improve performance. Dragonfly AI and...
8 April, 2026
Mastering the GenAI ecosystem
For FMCG marketers, generative AI is rapidly shifting from experimentation to expectation. With the market set to grow by over 700% in the next decade, the pressure is on to scale content while maintaining brand consistency and performance. Yet...
7 April, 2026
How does Dragonfly AI compare to Neurons?
Make decisions based on proven performance signals If your team is investing heavily in creative, the challenge is not whether to test – it is how quickly and confidently you can act on insights that actually improve performance. Dragonfly AI and...
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