The Student Effect: Household Influence, Word of Mouth and Physical Marketing in the Age of AI

The short answer

Students matter to brands for more than their own spending. Many first-years leave home in September and go back at Christmas, Easter and the summer, taking new habits with them. At university they share kitchens, fridges and group chats with people they met a week earlier. That puts a student at the centre of two networks at once: a family household and a friendship group.

The second question in this guide is harder. As AI changes how ads are made and how people find answers, is face-to-face, physical marketing like sampling the future? Our answer is no, not on its own. But we think it becomes more valuable as AI makes everything else cheaper and more plentiful. Dig In is a sampling company, so read the counter-case as closely as the case.

On evidence: every external figure here comes from the sources listed at the end. Where we are giving a view rather than a measured fact, we say so.

How much influence does a student have over what the family buys?

Start with what is measured. Young adults in the UK are staying attached to the family home for longer. The ONS found that 28.7% of 20 to 34 year olds lived with their parents in 2025, up from 25.4% in 2015, and 7.2 million people aged 15 to 34 did so. One detail matters for student marketing: the ONS counts students in halls of residence “through the parental home”. In official household statistics, a fresher in halls is still part of their family’s household.

Help with technology also flows inside families. In Ofcom’s 2025 report, 54% of online adults said they had helped someone do something online they could not do themselves in the past year, and 62% of adults aged 65 and over said they would ask family or a friend if they got stuck.

The academic evidence on “reverse socialisation”, where children shape their parents’ consumption, supports the idea with caveats:

• It happens. A 2019 study in the Journal of Consumer Behaviour by Liang, Jiang and Cotte found that young adults who were only children had a direct positive influence on their parents’ adoption of new products.

• It is uneven. A 2019 study in the Journal of Consumer Marketing by Perez and colleagues found that adult children act as technology influencers and parents tend to model their use on them, but the influence was limited by parents’ reluctance to change, with frustration on both sides.

What we believe, and have not measured

This part is opinion. We think the returning student works as the family’s early adopter in specific categories: phones and SIM deals, banking apps, streaming, and newer food and drink formats such as zero sugar or plant-based options. These are categories where the student has tried something the parents have not, and can show them. A product that arrives in a flat in September can be on the family table by Christmas.

We have not proved this. Dig In has collected over a million survey responses since 2016, but we hold no data on students influencing household purchases, so we do not put a number on it. If the household effect matters to your business case, measure it: add “Have you recommended this to anyone at home?” to the post-sampling survey and ask again after the holidays.

Why does word of mouth between students travel so far?

The trust data is consistent. Edelman’s 2025 brand trust research found that 85% of UK adults trust friends and family to give them accurate information about a brand, against 58% for customer reviews and 37% for influencers. Nielsen’s 2021 Trust in Advertising study, an older and less UK-specific source, put trust in recommendations from people you know at 89%. Two studies, different years and methods, the same order: people believe people they know.

Student life concentrates those recommendations. A first-year flat puts several strangers in one kitchen, with shared cupboards and a shared group chat. Products sit on the side, get borrowed and get talked about. In our view, a sample in a shared kitchen is a product on display to a small, trusting audience, and that is why we put so much weight on the moment students arrive. Our Freshers sampling page explains how that timing works, and why sampling works covers the behavioural case.

What is AI changing in advertising?

Three changes are well evidenced. A fourth, ad avoidance, is long-standing and we treat it as background rather than put a number on it.

AI is answering questions instead of sending clicks

Pew Research Center tracked the browsing of 900 US adults in March 2025. When Google showed an AI summary, users clicked a traditional search result on 8% of visits, against 15% when there was no summary. They clicked a link inside the summary on just 1% of visits, and ended their browsing session more often (26% against 16%).

The UK picture points the same way. Ofcom reported in December 2025 that about 30% of searches now show AI overviews, and 53% of adults say they see these summaries often. For a brand, that means fewer people arriving at its own content and more people reading a machine’s summary of what others have said about it.

Young people are adopting AI fastest

Ofcom found that 53% of 16 to 24 year olds had used AI tools such as ChatGPT, the highest of any age group. Among students the figure is far higher: HEPI’s 2026 survey of 1,054 full-time undergraduates found 95% use generative AI in some form. Deloitte’s 2026 Digital Consumer Trends survey found 63% of UK consumers aged 16 to 75 had used a generative AI app.

AI-made content is plentiful, and trust in it is unsettled

Ofcom found that 52% of UK adults who are aware of AI would trust a human-written article more than an AI-written one; 15% would trust the AI version more. In the US, an IAB study found that 39% of Gen Z feel negative about AI-generated ads, up from 21% in 2024, and 30% describe brands that use them as inauthentic.

The same IAB study adds an important balance: 73% of young consumers said knowing an ad was made with AI would increase or not change their likelihood to buy. Distrust is real, but it is not a boycott.

Why might physical experiences matter more as AI spreads?

This section is our argument, built on the evidence above.

A product in the hand cannot be generated. AI can produce an unlimited number of ads, reviews and images at almost no cost. It cannot put a can, a razor or a sachet in someone’s kitchen. When content is cheap, the real thing stands out.

Touch changes how people value things. Peck and Shu’s 2009 study in the Journal of Consumer Research found that merely touching an object increases people’s sense of owning it. A sample is a product someone has already held.

Spending money is a signal. Paying to put real product in front of real people says the brand believes the product will hold up. That is an inference, not a measured effect, but it is the logic behind sampling as a whole.

Real experiences become the raw material for AI answers. If AI summaries increasingly describe brands using what people say about them, then trial, conversation and reviews matter more. Edelman’s 2025 report called this a “golden era of earned” and advised brands to make sure they can be discovered on AI platforms. Sampling is one of the few ways to create first-hand experience at scale.

The case against: where physical marketing falls short

An honest view has to include the weaknesses.

It costs more per person. Product, packing, distribution and measurement all add up. A digital impression is far cheaper than a sample in a student’s hand, even if it is worth less. The fair comparison is cost per trial, which we set out in our guide to product sampling ROI.

It is tied to moments and access. Student sampling runs on the academic calendar: Freshers in September, Refreshers in January, and Live Activations in between. Dig In reaches 500,000 students each September and has 300,000 bags planned for January, which is large but finite. You cannot switch it on in a week the way you can a paid social campaign.

Measurement has gaps. Most sampling results rely on surveys of purchase intent, and intent tends to run ahead of real buying. Linking a sample to a till receipt months later is still difficult, and household influence is harder still to track.

Digital keeps improving. AI is making targeting, creative testing and measurement better and cheaper. UK digital adspend reached £40.5bn in 2025, up 10% on the year, according to IAB UK. Budgets follow what can be measured and optimised, and digital is getting better at both.

The household effect may be small. The Perez study found reverse socialisation limited and frustrating, and we have no data of our own to show the size of it. Treat it as a possible bonus, not a line in the forecast.

So, is face-to-face marketing the future?

Our conclusion is clear, and it is not the one a sampling company might be expected to give. Physical marketing is not the future of advertising, and anyone selling it as a replacement for digital is overselling.

What we do believe is this. As AI makes ads, content and answers cheaper and more plentiful, the scarce things gain value: a real product in someone’s hands, a real recommendation from a flatmate, a real conversation at home over Christmas. Physical sampling earns its place as the first link in a chain: sample, trial, talk, then search, AI answers and purchase, with a measure at each step. The student audience suits that chain well, because the people who try something new in September carry it into two trusted networks.

What this means for brands

• Use physical to create the experience and digital to extend it. A sample with a QR code, a follow-up email and a survey does more than either channel alone. See how product sampling fits a wider plan.

• Measure word of mouth directly. Ask recipients whether they have recommended the product to flatmates or family, and ask again after the holidays.

• Plan around the calendar. September builds habits in new flats; January catches students coming back from the family home.

• Seed earned signals. Encourage reviews and posts from people who have actually tried the product, since that is the material AI summaries draw on.

• Compare honestly. Judge sampling on cost per trial against your digital channels, not on reach alone.

Questions brands ask

Do students influence what their parents buy?

Academic studies suggest young adults do influence their parents’ adoption of new products, especially technology, but the effect is uneven and limited by parents’ willingness to change. We are not aware of robust UK data that sizes the effect, so brands should measure it in their own campaigns.

Is word of mouth still effective with Gen Z?

Yes. Edelman’s 2025 UK research found 85% of adults trust friends and family for accurate brand information, well ahead of influencers at 37%. In our view, students in shared flats have more daily contact with peers than most groups, which gives recommendations more chances to spread.

Will AI search reduce the value of digital advertising?

It is changing it. Pew found US users clicked traditional search results about half as often when an AI summary appeared, and Ofcom reports about 30% of UK searches now show AI overviews. Fewer clicks put more weight on what people say about a brand elsewhere.

Is product sampling still worth it in the AI era?

It can be, when it is measured. Sampling costs more per person than digital media and is tied to specific moments, but it creates first-hand experience and conversation that AI cannot generate. Judge it on cost per trial and repeat purchase, not on reach.

If you are weighing physical and digital for a student launch in 2027, talk to us about what we would measure.

Sources

• Office for National Statistics, Families and households in the UK: 2025 (2026).

• Ofcom, Adults’ Media Use and Attitudes Report 2025 (2025).

• Ofcom, From apps to AI search: how the UK goes online in 2025 (Online Nation) (2025).

• Pew Research Center, Google users are less likely to click on links when an AI summary appears in the results (2025).

• Higher Education Policy Institute and Kortext, Student Generative Artificial Intelligence Survey 2026 (HEPI Report 199) (2026).

• Deloitte UK, Digital Consumer Trends 2026 (2026).

• Edelman, Edelman Trust Barometer Special Report: Brand Trust, From We to Me (UK report) (2025).

• Nielsen, 2021 Nielsen Trust in Advertising study (US sell sheet) (2021).

• IAB with Sonata Insights, The AI Ad Gap Widens (2026).

• J. Liang, H. Jiang and J. Cotte, Wiley, Upward intergenerational influences on parents’ innovativeness and innovation adoption: A comparative study of single- and multiple-child families (Journal of Consumer Behaviour 18(4), 350 to 359) (2019).

• M. E. Perez, C. Quintanilla, R. Castaño and L. Penaloza, Emerald, Inverse socialization with technology: understanding intergenerational family dynamics (Journal of Consumer Marketing 36(6), 818 to 826) (2019).

• Joann Peck and Suzanne B. Shu, Oxford University Press, The Effect of Mere Touch on Perceived Ownership (Journal of Consumer Research 36(3), 434 to 447) (2009).

• IAB UK, Digital Adspend 2025: UK’s digital ad market reaches £40.5bn (2026).