Marketing diversification sounds sensible until the operating questions arrive. A new channel needs budget. A new market needs time. More creative formats need production capacity. AI creates further possibilities, while senior teams still need a clear account of commercial value.

At Precis Copenhagen's Thursday Brief & Bar on 27 August, the discussion kept returning to one idea: expansion requires a stable centre. Dag-Yero Midtvåge Steen Diallo, Client Director at Precis, brought patterns from client conversations across media, creative, and data. Janne van der Laan, CMO at Odlo, drew on career experience spanning Odlo, Canada Goose, and Versace to explain how heritage brands stay relevant across generations.

Hosted by Julia Riml in our Copenhagen office, the afternoon mixed two plenary talks, three breakout discussions, shared takeaways, and housewarming drinks. The subjects varied, yet the same strategic question ran through them: what must stay clear when everything around a brand is expanding?

New markets need learning economics of their own

Diallo's point was simple: a market entered last quarter deserves a different benchmark from one built over 25 years. Applying the same short-term efficiency target to both makes it harder to see whether the new market is learning, gaining traction, or simply operating at an earlier stage.

Growth in an established home market can help fund learning elsewhere. That investment becomes easier to defend when the team agrees on the learning period, the signals that matter during it, and the conditions for further investment or closure.

The same logic applies to new channels, buying methods, creative formats, and propositions. A broader mix can surface opportunities and reduce dependence on a narrow set of channels. Its commercial value depends on differentiated expectations and a defined learning period.

Creative scale starts in pre-production

Platform developments such as Meta's Andromeda, alongside continued automation in video and media optimisation, are increasing the appetite for creative variety. One high-investment hero asset can quickly inherit a long list of downstream requests: shorter cuts, vertical formats, TikTok adaptations, product changes, localisation, and in-campaign edits.

Diallo's proposed workflow moves those requirements into pre-production. The brief separates the elements that require a high-quality physical shoot from the variations technology can produce within clear brand constraints. Creative scale then becomes a design decision from the outset.

The practical example was a Precis model developed for Birkenstock, referred to during the session as Sven. Supplied with product assets, brand guidance, and the brand's visual world, the model produced controlled variations across people, product views, movement, composition, format, and language. A strong source scene could support a much larger set of platform-specific assets while retaining recognisable brand cues.

The production budget can be smaller and the logic still holds: plan formats, localisation, and product variations early, then protect the source assets and brand rules that make extension possible.

Its current fit depends on budget, governance, workflow integration, and organisational acceptance. The capability already exists. Readiness determines where, when, and how extensively it belongs in production.

Heritage gives brands permission to move when identity stays clear

Van der Laan offered a three-part framework for heritage-brand relevance: know your culture, know your icon, and know yourself. Each principle establishes a stable reference point for expansion.

Odlo's culture begins with a practical problem. The company was founded in Norway in 1946 by a textile engineer who wanted to keep his sons warm, dry, and comfortable while they trained on ice skates. Today, Odlo can appear credibly at a summer trail-running event in Switzerland because the underlying purpose remains helping people perform better outdoors.

The Engadin Skimarathon activation showed how that culture can become current. Seven creators from priority markets trained for their first cross-country ski race with equipment, coaching, athlete access, and a recovery programme. The preparation created roughly six months of content, while the night race connected a new group to Odlo's Nordic skiing roots through participation.

Canada Goose showed the role of an icon. Its Snow Mantra parka, created for people working in the Canadian Arctic, comprises 247 pieces and weighs around 3.5 kilograms. That functional credibility gave the brand a recognisable product code that could extend into footwear, retail experiences, collaborations, and community.

Versace showed the value of knowing yourself. Safety pins, gold, Barocco prints, close-fitting silhouettes, and 1990s supermodels formed a clear identity that could be reinterpreted. A return to recognisable archive codes around the tribute collection was accompanied by a 400% year-on-year increase in sales for that collection.

Culture provides permission. An icon provides proof. Identity provides boundaries. Together, they help a heritage brand enter new occasions while remaining recognisable.

The resources can scale down while the framework stays useful. A smaller activation or a single product story can still earn relevance when its link to culture, icon, or identity is clear.

AI expands capability faster than organisational readiness

AI capability describes what a system can produce today. Organisational readiness describes whether a company can use that output responsibly and effectively, given cost, governance, privacy, integration, and approval workflows.

That distinction surfaced across the afternoon. The Birkenstock demonstration showed controlled creative variation at scale. The Signal vs. Noise breakout showed AI summaries accelerating information gathering. Participants still relied on first-party announcements, selected specialist publications, peer networks, events, and observations from other markets to judge credibility and relevance.

AI-mediated discovery deserves the same measured approach. Many digital marketers already use a preferred large language model for research or production, and consumer discovery is beginning to move through those interfaces too. This creates a case for observation and controlled testing, with investment tied to evidence and operational fit.

The room used ChatGPT, Gemini, Claude, and Perplexity across different tasks. Workflow integration and use-case fit carried more weight than whichever tool received the most discussion that week. Novelty can begin the conversation; a defined business outcome decides whether the experiment continues.

Marketing's wider remit makes translation a core skill

Senior stakeholders are moving closer to marketing budgets, campaigns, and creative decisions. That scrutiny raises the reporting burden, while also giving marketing teams more opportunities to shape strategic choices.

The work increasingly involves translation: platform signals into business outcomes; creative ambition into production requirements; brand activity into commercial logic; technology capability into organisational readiness; and external expertise into internal learning.

When a leader encounters a compelling claim through LinkedIn, a consultant, or an AI tool, participants described a practical response. Acknowledge the idea, examine the source and its commercial agenda, separate attractive reporting from business impact, and agree which evidence would make the idea worth testing. Sales, qualified traffic, workflow fit, and operational value bring the discussion back to common ground.

The same discipline helps with the in-house and agency question. A useful operating-model discussion covers which capabilities require internal ownership, where specialist capacity adds value, how learning is documented, and what continuity looks like when people or partners change. Marketing's influence grows when options can be connected to outcomes in language the wider organisation can use.

Five questions to take back to your team

• What learning window and success signals have we set for each new market or channel?
• Which formats, product views, movements, languages, and brand constraints need to enter the creative brief during pre-production?
• Which part of our culture, product icon, or identity gives us credible permission to enter a new occasion?
• Does this AI use case meet our requirements for value, cost, governance, privacy, integration, and approval?
• Can we explain the commercial outcome behind this investment in terms that finance, ownership, and other teams can use?

Every expansion creates more options. A stable centre makes those options easier to judge, fund, and explain.

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