The secret behind marketing agility isn't speed

Everyone’s talking about the World Cup right now. But if you work in marketing, you’ll know Christmas isn’t far behind.

They might be separate campaigns, but they rely on the same product being ready to work in a different context. What I’m seeing now is more brands gaining agility by planning that in from the start.

For years, marketing agility has been framed as a speed problem. How quickly can we respond when something lands on the desk? But the brands I see that look genuinely agile aren’t always the ones moving fastest in the moment. They are the ones that have already done some of the work. They are not relying on reshooting or using whatever happens to exist every time a new brief appears.

Product imagery has always been reused where it can be. But it wasn’t always created with that kind of future use in mind. If another brief came along a few months later, teams often had to work around what already existed, rather than starting from an asset designed to be adapted. Cue new shoot.

That made sense when content demands were simpler, but the same product now has to work much harder. It has to show up across different moments, channels and regions, with more versions to manage and less patience for starting again when something changes.

That’s where a lot of marketing production gets stuck. A new opportunity appears, and everyone has to work out which product image is correct, whether the packaging is current, what needs changing and who has to approve it - often starting from scratch as the new supplier can’t use the file you created last year. The scramble isn’t always about creating something entirely new; often, it is about trying to make yesterday’s asset work for today’s brief.

That’s the bit I think more brands are starting to question. Why are we still working around product imagery that was never really built to carry this much weight?

I see this in the work we do across consumer categories. One global personal care brand we work with regularly updates its product packaging around sponsorship and partnership activity. Historically, that could create a lot of production work. Now those updates are easier because the digital product assets already exist and can be adapted when the opportunity appears.

In beauty, trends can move faster than traditional production is comfortable with. A creator collaboration or an ingredient suddenly gaining attention can create demand almost overnight. The brands that can respond are not necessarily making everything from scratch more quickly. They are starting from something that already exists in a form they can trust.

The same is true when brands launch into new markets. Often, the physical product is largely the same. What changes might be made to the language on the packaging or a piece of regulatory information? If the product already exists as an accurate digital asset, those changes become easier to manage.

For drinks brands, it can go even further. A bottle is not just a bottle in content. The liquid matters, as does the way light moves through glass or how cold the drink feels. Consumers may not consciously notice those details when they’re right, but they notice when they’re wrong.

Increasingly, we're seeing drinks brands think beyond the pack itself. Signature pours, condensation systems, liquid behaviour and sensorial cues are becoming reusable brand assets in their own right. Once you've invested in creating them, they can travel from campaign to campaign instead of being recreated every time, essentially creating a working toolkit of brand IP.

The value isn’t only efficiency -  it’s trust. If product content starts from the same approved foundation, the brand has a better chance of staying consistent. The product is accurate. The packaging is current. The brand holds together as the world changes around it.

This is also where AI becomes more useful. Not as a replacement for brand assets, but as a way of getting more value from the assets brands have already invested in. AI can help adapt and extend content, but it still needs something accurate to work from. If the starting point is wrong, AI just helps you multiply the wrong thing.

That’s why digital twins matter. A digital twin is not just a prettier render or a technical production file. At its best, it is an accurate digital version of a product that a brand can trust and reuse. The campaign can change, but the product does not have to be rebuilt from scratch every time.

So when I think about marketing agility now, I think less about speed and more about readiness. Can the brand find the product it needs and trust that it is accurate enough to use again?

The brands that move fastest won’t be the ones sprinting - they’ll be the ones that built the groundwork long before the brief arrived.