AI in animation:
personalised content at scale
Imagine every prospect receiving an animation with their own name, their industry and the specific problem that lives in their sector.
duizend versies.
In this article
A few years ago that sounded like science fiction. Or like a lot of work. Today it's neither.
What AI changes here
Personalised video as an idea isn't new. The problem was scale. Producing one manual variant per prospect is too expensive to make commercial sense.
AI removes that ceiling. You build one template with variable layers. Text, voice-over, visuals, colours, an industry-specific accent. Then you generate hundreds or thousands of variants without production growing in proportion.
What it delivers
Personalisation increases relevance. Relevance increases attention. Attention increases conversion.
That's not a marketing trick, that's how the brain works. A prospect who sees their own industry feels addressed. A prospect who hears their own problem named watches longer. And longer viewing means more click-through.
In practice we see conversion rates double compared with generic video. Not always, not everywhere, but often enough to take seriously.
The trap
AI makes personalisation easier, not automatically good.
We see campaigns where the company name is dropped into a video and that's called the work. It's noticeable immediately, and not in a good way.
Real personalisation sits deeper. The problem you name, the example you use, the tone of the voice-over. When those match the sector, it feels natural. When they don't, it feels like spam.
Where this is going
What is innovation now will be standard in a few years. Generic B2B video is heading the same way as generic email blasts: technically still possible, increasingly worse performing.
Whoever starts personalising smartly now builds a lead that's hard to close later.