AT A GLANCE
THE CONTEXT
Q-Meieriene did not have a reach problem.
As one of Norway’s most recognised dairy brands, Q already had national distribution, an established portfolio and millions of product experiences taking place every year.
But scale can also create distance.
Sales data shows what consumers bought. Campaign data shows what they saw. Traditional research can provide valuable answers to predefined questions.
What is harder to see is what happens after the product leaves the shelf.
Who is actually consuming it? When and why are they choosing it? What role does it play in their day? What do they like, what is missing and what would they buy next?
Q wanted a more direct view of the real consumption experience.
The team began with a simple question:
Could the packaging of products already in market become a live consumer intelligence channel—and help Q decide what to build next?
THE CHALLENGE
For FMCG brands, the shelf is only the beginning of the story.
A product might be bought in a supermarket, consumed after training, taken to work or opened at home. The buyer and consumer may not be the same person. The occasion may be different from the one the brand originally imagined.
Those differences matter when developing something new.
To make the right product decision, Q needed to understand more than general consumer interest. It needed evidence from people already consuming relevant products:
Traditional research could explore some of these questions. But Q saw an opportunity to learn continuously from existing products while they were already being consumed in the market.
THE SOLUTION
Q introduced Foodback dynamic QR codes on two existing dairy products.
Consumers could scan the code directly from the packaging and share feedback in the moment, without downloading an app, creating an account or waiting for a follow-up survey.
The feedback experience was designed to go beyond a simple satisfaction score.
Q could ask about:
This changed the role of the packaging.
It was no longer only a product container, information surface or branding asset. It became a direct learning channel between Q and the people consuming its products.
Every product in market could now do two jobs: generate sales today and generate intelligence for what Q should build tomorrow.
THE RESPONSE
Consumer participation was immediate.
One hero product alone generated almost 19,000 Foodback responses in its first month. Across the first six months, Q collected more than 60,000 responses.
The depth of participation was equally important.
Around 66% of respondents chose to leave a written comment, giving Q a large body of qualitative insight in consumers’ own words.
This was not a small panel answering questions in an artificial research setting. It was continuous input from people encountering and consuming Q products in real life.
The volume gave Q confidence that it was not reacting to isolated comments. The written feedback helped the team understand what was behind the numbers.
THE SIGNAL
The responses did more than confirm existing assumptions.
They challenged them.
Q discovered that the real consumer profile differed from what the team had expected. The consumption occasions were different too.
That distinction mattered.
The responses were not simply reflecting campaign exposure or repeating a marketing message. They were revealing how consumers actually experienced the products in the market.
Q could see:
A clearer opportunity began to emerge.
PRODUCT DEVELOPMENT
This became the most valuable outcome of the programme.
Rather than treating products already in market as finished outputs, Q used them as a live learning environment for the next product.
Through the Foodback QR codes, the team could speak to consumers who were already buying and consuming relevant Q products. Their answers revealed an unmet opportunity around a protein chocolate milk.
Q could then explore the idea directly with the market.
Was the need genuine? Who wanted the product? In which situations would they consume it? Which qualities mattered? Did the opportunity fit the consumer behaviour Q was seeing across its existing portfolio?
The feedback allowed Q to move beyond an internally generated product idea.
The opportunity was grounded in signals from real consumers, gathered through real products, during real consumption moments.
That insight helped Q:
The result was Q Protein chocolate milk: a 330 ml chocolate milk containing 26 grams of protein, without added sugar, fat-free and lactose-free.
The new product did not emerge from feedback collected after launch.
Consumer intelligence contributed before the launch decision was final—when Q still had time to learn, adjust and reduce uncertainty.
THE IMPACT
New FMCG products carry significant uncertainty.
Development, production, packaging, retail distribution and marketing all require investment before the market response is fully known. Traditional sales data only begins to answer the most important question after the product has launched.
Q created an earlier signal.
By using existing products to reach relevant consumers, the team could test the underlying opportunity before making the full launch commitment.
Foodback did not replace Q’s product-development expertise. It gave the team a stronger consumer foundation for applying it.
Instead of asking only:
Do we believe this is a good idea?
Q could also ask:
What are consumers already telling us through the products they use today?
That reduced the distance between consumer need and product decision.
THE EXPANSION
What began as an experiment on two products quickly demonstrated wider value.
Within six months, Q had collected more than 60,000 responses and thousands of written consumer comments. In Q1 2024, the programme expanded to four additional products.
The opportunity extended beyond one successful launch.
With QR codes on products already in circulation, Q could create an ongoing intelligence layer across its portfolio—helping the team understand existing products, identify emerging needs, evaluate new ideas and keep consumer reality closer to future decisions.
THE TAKEAWAY
The most important result was not that Q generated a large number of survey responses.
It was what Q did with the signal.
Products already in market became a way to discover what consumers wanted next. Packaging became a live product-development channel. Feedback became an input before the launch—not only a verdict afterwards.
That is how Q-Meieriene used real consumer experience to identify an opportunity, validate demand and shape Q Protein chocolate milk with greater confidence.
The next product was not developed at a distance from the consumer.
It was built by listening to them.
