How startups can use nostalgia marketing to build trust, spark loyalty and stand out with storytelling, vintage design and emotional connections.
Updated
January 8, 2026 6:35 PM
Vintage beer pong posters showcasing colorful, diverse designs from different eras in one collection. PHOTO: FREEPIK
Turning the subtle power of nostalgia into meaningful marketing.
Think of nostalgia as a time machine for brands—it doesn’t just take people back; it brings their emotions forward. And emotions sell. For those who are unfamiliar, nostalgia marketing is a strategy where brands use elements from the past—like familiar sights, sounds, or stories—to evoke warm memories and emotional connections with their audience.
This emotional pull isn’t just anecdotal—research shows its real impact: according to The Team and Forbes via The Drum, 80% of millennials and Gen Z are drawn to brands tapping into nostalgia, while 92% of consumers say nostalgic ads feel more relatable. And for startups competing in noisy markets, this is a goldmine.
In this article, we’ll explore why nostalgia marketing can be a game-changing strategy for your company.
Out of all the popular marketing methods—like influencer partnerships or attention-grabbing ad campaigns—nostalgia is unique because its impact starts intrinsically, in the brain. By triggering the release of dopamine, a reward-system neurotransmitter, Nostalgia evokes feelings of warmth, happiness and comfort. Consequently, people don’t just remember a moment—they relive it. Take, for instance, your favorite cereal brand bringing back childhood cartoon characters or using retro fonts and colors. You might choose it over a healthier breakfast option simply because it reminds you of the mornings you enjoyed as a kid. Similarly, speaking of stirring fond memories, Coca-Cola has mastered this effect, using classic holiday ads, vintage packaging, and iconic imagery. Those associations make people see Coke as more than a drink—it’s a familiar feeling they’re willing to pay extra for.
New marketing campaigns can spark curiosity but often trigger skepticism—especially when audiences lack prior connection to the brand. Nostalgia marketing breaks down this barrier by tapping into familiarity, using retro jingles, vintage fonts, pastel colors, or familiar packaging that immediately resonate. This recognition builds an emotional connection and trust with the brand. More importantly, it fosters social connectedness by making consumers feel part of a larger community—giving that reassuring “others remember this too” feeling. As a result, this sense of belonging reduces loneliness, strengthens warmth and trust, and encourages word-of-mouth sharing, naturally amplifying the campaign’s reach and impact.
While luxury brands can afford massive campaigns, startups and small businesses can tap into nostalgia as a cost-effective storytelling tool. In a world where marketing often chases the “next big thing”—from AI to futuristic tech—nostalgia offers the opposite: a chance to revisit the past. More importantly, nostalgia allows brands to stand out in a crowded, fast-scrolling feed by delivering something comfortingly familiar with a fresh twist. Think of Polaroid: in an age where smartphones boast crystal-clear cameras, it wins hearts with pastel hues, a vintage lens, and the tactile charm of instant prints—selling not just images, but a moment that feels straight out of the past.
The same principle worked brilliantly for Tiffany & Co., whose 185-year-old brand refresh featured Jay-Z and Beyoncé in a Breakfast at Tiffany’s-inspired campaign, blending timeless charm with contemporary star power and racking up millions of views. In essence, when done right, nostalgia doesn’t just market a product—it invites people to relive a story they already love.
Nostalgia resonates across generations speaking to diverse audiences. For Millennials, it’s a chance to relive the cultural touchpoints of their youth, while Gen Z approaches it with curiosity, eager to explore eras they never experienced firsthand. This crossover creates a unique marketing sweet spot: one group is driven by memory, the other by discovery. Pokémon proves this power by keeping lifelong fans engaged through retro trading cards while introducing younger audiences to its history. Similarly, Nike used nostalgia to bridge two different generations by reissuing retro classics, keeping both longtime fans and new sneakerheads excited. By appealing to both memory and curiosity, brands can create lasting connections that keep different generations engaged at once.
Nostalgia can be your startup’s non-cliché marketing mantra. Imagine a small bookstore that offers handwritten recommendation cards designed like vintage library checkout slips. This simple touch invites customers to slow down and rediscover the joy of reading. Or picture a local coffee shop serving drinks in mugs inspired by classic diner ware, evoking comforting memories of simpler times. Overall, the lesson is clear: combining nostalgic design with stories that connect people to shared moments creates emotional warmth and trust. Thoughtful nostalgia turns everyday products into meaningful experiences—building loyal communities eager to return.
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A rare policy consensus emerges as AI’s impact moves beyond innovation into governance and societal risk
Updated
May 5, 2026 5:42 PM
A mechanical hand reaching for the hand of flesh. PHOTO: UNSPLASH
A new survey from Povaddo, a policy research firm, suggests that concern about artificial intelligence is no longer limited to industry or academia. It is now firmly present within the policy community.
The survey draws on responses from 301 public policy professionals across the United States and Europe, including lawmakers, staffers and analysts involved in shaping and evaluating public policy. A majority of respondents—61%—say governments are falling short in addressing the negative impacts of AI.
There is also broad agreement that regulation needs to increase. In the United States, 92% of respondents support stronger AI regulation, compared to 70% in Europe. At a time when consensus is often difficult, the findings point to a shared view across policy circles that current frameworks are not keeping pace with technological development.
Differences emerge when looking at how AI is affecting national contexts. In the U.S., 57% of policy experts believe AI is already harming the labor market. In Europe, 34% say the same. U.S. respondents are also more likely to see AI as a greater threat to jobs than immigration, with 63% holding that view compared to 47% in Europe.
On misinformation, responses are closely aligned. A large majority of policy experts in both regions expect an AI-driven misinformation crisis within the next one to two years—87% in the U.S. and 82% in Europe. Many also believe that AI-generated or AI-amplified misinformation could affect elections and public health information.
Some respondents frame the risks in more fundamental terms. In the United States, 41% of policy experts say AI poses an existential threat to humanity. In Europe, 29% share that view. U.S. respondents are also more likely to believe that advances in AI could harm global security and stability.
The findings come as policymakers begin to respond more actively. In the U.S., Senators Josh Hawley, Richard Blumenthal and Mark Warner have introduced bipartisan legislation focused on AI accountability, including measures aimed at protecting workers and children.
In Europe, the introduction of the EU AI Act marks a more advanced regulatory approach. The framework sets out rules based on levels of risk and is widely seen as the first comprehensive attempt to govern AI at scale.
William Stewart, President and Founder of Povaddo, said: "What makes these findings so significant is who is saying it. These are the practitioners who work inside the policy process every day, spanning every corner of the policy world from defense to healthcare to finance, not activists or everyday citizens. These findings foreshadow real action. The current path of governments accelerating AI deployment while falling short on governance is not sustainable, and the people who know that best are the ones in this survey. You cannot have nine-in-ten policy insiders demanding more regulation and four-in-ten calling AI an existential threat without that eventually moving the needle in Washington and Brussels in terms of legislative or regulatory action".
Taken together, the survey reflects a shift in how AI is being discussed within policymaking circles. Concern is no longer limited to future risks. It is increasingly tied to current gaps in governance and the pace of deployment.