Nostalgia is having a strong moment in marketing. But the opportunity is bigger than using retro visuals or reviving an old product. For brands, the more interesting question is:

How can something people already recognize help create attention for something new?

That is where nostalgia becomes more than a creative style.

Nintendo: Make the Old Part of Something New

Nintendo offers a clear example.

For its new console campaign, the brand brought back actor Paul Rudd, who had appeared in a Nintendo commercial in 1991. Instead of simply replaying an old idea, Nintendo used that familiar reference to introduce a new product and connect different generations through one piece of brand history. Think with Google highlights the campaign as an example of the “nostalgic remix” trend in 2026.

The important part is not the celebrity cameo.

It is the logic behind it.

The old commercial creates recognition. The new product gives that recognition a reason to exist today.

That is the difference between nostalgia and a nostalgic strategy.

Kellogg’s: Bring Back the Feeling, Not Just the Object

Kellogg’s took a very different approach.

In April 2026, the brand announced the return of toys inside selected cereal boxes for the first time in more than a decade, as part of its collaboration around Toy Story 5. The idea recreates a familiar childhood ritual: opening a cereal box and discovering something unexpected inside.

What makes the campaign interesting is that the nostalgia is not limited to packaging.

It brings back an experience.

Parents who remember that ritual can now share it with their children, while younger audiences experience it for the first time. Kellogg’s positioned the idea around discovery, play and a screen-free moment — giving an old habit a contemporary reason to return.

That is a much stronger use of nostalgia than simply making a box look retro.

The Lesson for Brands

Both campaigns use the past differently, but the principle is similar.

Nintendo used a familiar face and an old brand memory to support a new product.

Kellogg’s revived a familiar childhood experience and connected it with a current cultural moment.

Neither campaign depends on saying:

“Remember how things used to be?”

Instead, they ask:

“What can we take from the past that still means something today?”

That is the question brands should ask before bringing back an old logo, product, campaign, character or ritual.

Is it recognizable?

Does the audience still care?

And most importantly, what is the new reason for bringing it back?

Without that final answer, nostalgia is just decoration.

With it, the past becomes a creative asset.

Nostalgia Should Create Something New

The best nostalgic campaigns do not take audiences backwards. They use something familiar as an entry point to something different. That can make the brand feel instantly recognizable while still giving people a new story to experience and share.

The goal is not to recreate an old memory.

The goal is to create a new one using something people already remember.

Attribution, first-party data and the metrics that actually matter

ROAS is useful because it shows how much attributed revenue an advertising campaign generated in relation to its cost. But it does not tell the whole story. A campaign can produce more conversions and still bring less value to the business, while another may generate fewer conversions but attract customers who are worth considerably more.

That is why effective measurement needs to look beyond the first conversion and connect advertising performance with what happens afterwards.

A Cheaper Lead Can Be the More Expensive Choice

Imagine a B2B company invests €10,000 in two campaigns.

• Campaign A: Generates 100 leads. Thirty are qualified, 10 become sales opportunities, and 4 become customers, generating €80,000 in attributed revenue (8x ROAS).
• Campaign B: Generates 150 leads, which initially looks more promising, but only 20 are qualified, 5 become opportunities, and 2 become customers. It generates €30,000 in attributed revenue (3x ROAS).

Both campaigns cost the same. Campaign B produced more leads at a lower cost, but Campaign A generated €50,000 more revenue.

The lesson is simple: the cheapest lead is not necessarily the most valuable one.

Give Advertising Better Information

This is where first-party data becomes important. If every form submission is counted as an equally valuable conversion, an advertising platform cannot distinguish between a lead that becomes a customer and one that goes nowhere. Connecting advertising data with CRM records, sales outcomes, and revenue gives marketing a much clearer view of what happens after the initial conversion.

That information can then improve optimisation. Instead of simply looking for more people who complete a form, campaigns can be guided towards the types of prospects that are more likely to generate real business value.

Attribution Is Only Part of the Picture

A customer may see a display ad, visit the website later, search for the company, and finally convert through another channel. Attribution helps distribute credit across those interactions, but receiving credit does not necessarily mean that an interaction caused the sale.

Where the data allows it, we can also look at how much additional business a campaign actually created, rather than simply counting the conversions attributed to it. This gives brands a clearer basis for comparing channels and deciding where additional investment is likely to have the greatest impact.

Measure What Helps You Invest Better

ROAS still has an important role when revenue efficiency is the objective, but it becomes far more useful when considered alongside customer quality, sales outcomes, customer value, and incremental results.

At Zentrix Digital, we connect media performance with the business results behind it, bringing together advertising data, first-party information, attribution, and ongoing optimisation. The objective is not to produce a more complicated report. It is to understand what is creating value and make better decisions about where the next euro should go.

Google Search is changing the way people find businesses. Instead of entering a few keywords and visiting several websites, customers can now ask more detailed questions and receive AI-generated responses that help them understand their options.

For a business owner, that creates a more useful question than simply asking where the website ranks. If someone searches for the service you provide, does Google have enough reliable information to understand your business and consider it relevant to the question?

There is no formula that guarantees a business will appear in an AI-generated answer. But there are practical ways to assess how well your website and online presence are prepared.

Search Like Your Customer

Start by forgetting your company name.

Search for the questions a potential customer would ask when they need your product or service.

A hotel might be looking to appear when someone searches for accommodation suited to a particular type of trip. A software company may want to be considered when a business is comparing solutions for a specific problem.

Look at the businesses Google presents.

Are they explaining their services more clearly? Do they provide information your website does not? Do they have stronger reviews, more useful resources, or evidence of experience that you are not showing?

This does not tell you exactly how Google will generate every future answer, but it can reveal how your business currently compares with the information available to search users.

Make the Important Information Obvious

A potential customer should not have to work out what your company does.

Your website should clearly explain your services, who they are intended for, where you operate, and what makes your business relevant to the people you want to reach. Important information should be easy to find rather than spread across vague service descriptions and generic marketing copy.

The same applies outside your website. Business profiles, reviews, professional listings, media coverage, and other credible sources should present accurate and consistent information about your company.

The more clearly your business is represented online, the easier it is for both customers and search systems to understand what you actually offer.

Look at What Makes Your Content Useful

This is where many businesses have room to improve.

Publishing more articles will not automatically make a company more visible. If the content repeats information that already exists everywhere else, it gives customers little reason to read it and little reason to remember the business behind it.

Look instead at what your company knows because it has actually done the work.

A property company can explain what buyers regularly overlook during a purchase. A software provider can share lessons from real implementations. A marketing agency can analyse patterns it has observed across campaigns.

These insights are specific to the business and much harder to replace with generic content.

That is the kind of information worth building into your website.

So, Are You Optimised for AI Search?

The answer is probably not a simple yes or no.

If your website is technically sound, your services are clearly described, your content answers real customer questions, and your wider online presence supports your credibility, you are already working with many of the principles that matter in modern search.

If your website relies heavily on generic content, leaves important questions unanswered, contains inconsistent business information, or makes it difficult to understand what sets you apart, there is a clear opportunity to improve.

AI Search does not mean starting SEO from scratch. It means looking at your existing search presence from a wider perspective: can Google understand your business, and can a potential customer find enough useful information to feel confident choosing it?

That is the standard worth working towards, regardless of which version of Google Search a customer uses.

How businesses can use AI to scale marketing without losing what makes their brand different

AI is changing how businesses approach marketing. It can help teams research faster, generate ideas, analyze information, develop campaign concepts and handle repetitive work at a scale that was difficult to achieve before.

But bringing AI into more areas of marketing does not mean handing over your brand to a machine. A business still needs to know what it stands for, who it wants to reach and what makes its offer different. Technology can accelerate the work, but it should not replace the thinking behind it.

Start With Your Business, Not the Prompt

The most useful results usually start with information that already exists inside the business.

Customer questions, sales insights, campaign results, product knowledge, market research and feedback from your team can all provide valuable context.

Instead of asking for “a social media campaign for a digital agency,” give the tool your target audience, positioning, previous campaign results, customer pain points and the outcome you want to achieve.

The difference is significant.

The technology becomes much more useful when it works with your knowledge rather than trying to invent your strategy from scratch.

Let Technology Accelerate the Work

There are plenty of areas where these tools can save a marketing team time. They can help research a market, organize customer feedback, explore campaign ideas, compare messaging options, identify content gaps, summarize information or adapt an existing campaign for different channels.

They can also help teams move from an initial idea to several workable options much faster. But speed should support better decisions, not replace them.

The question is not whether a tool can produce something. It usually can. The better question is whether what it produces is right for your business.

Give It a Role, Not Control

A practical approach is to divide the process into four stages:

1. Think — Define the business objective, audience, message and desired outcome.
2. Feed — Provide relevant facts, customer insights, research and brand context.
3. Create — Use the technology to explore ideas, develop options, structure information and speed up production.
4. Review — Check accuracy, challenge assumptions and make the final decisions based on your business knowledge.

This keeps automation where it adds the most value while leaving strategic decisions with the people who understand the business.

Your Expertise Is the Differentiator

These tools can process enormous amounts of information. What they do not automatically have is your experience with your customers, your market and your business.

That knowledge is an advantage.

A campaign based on generic industry assumptions can be produced by almost anyone using the same technology. A campaign shaped by real customer behavior, business experience and a distinctive point of view is much harder to replicate.

That is where a brand voice comes from.

Not from avoiding new technology, but from giving it the right context and knowing where human judgment still matters.

Scale the Work. Keep the Voice.

The smartest businesses will not necessarily be those using AI to produce the most marketing. They will be the ones using it to make good marketing more efficient without making it more generic.

Use these tools to research faster, explore more possibilities and reduce repetitive work. Keep strategy, expertise, judgment and the final brand decisions with your team.

Technology can help your business say more, faster.

Your brand still needs to decide what is worth saying.