The Art of the Queue: How Brands Turn Waiting Lines into Marketing Gold
In an era of instant digital gratification, there's something peculiarly fascinating about seeing hundreds of people voluntarily waiting in line for hours or even days. From the latest iPhone launches, exclusive streetwear drops to a seemingly humble bubble tea, these queues have become a powerful marketing phenomenon that continues to shape consumer behavior and brand perception.
The Strategic Queue: A Marketing Masterstroke or A Tacky Stunt?
Yes, companies do pay people to queue for their launches – a practice known as "line sitting" or "professional queuing." This tactic has evolved from a spontaneous occurrence into a sophisticated marketing strategy that creates buzz, generates media attention, and fuels FOMO (fear of missing out) among consumers.
Masters of the Queue: Brands That Set the Standard
Several brands have perfected the art of queue-based marketing:
1. Apple: The tech giant's iPhone launches are legendary, with companies paying line-sitters $100-250 per day. Apple subtly encourages these queues by providing amenities to these sitters and having staff engage with the crowds, creating a festival-like atmosphere.
2. Supreme: The streetwear brand has built its entire business model around artificial scarcity and long lines. The "Supreme drop" has become a cultural phenomenon, with professional line-sitters earning substantial amounts to wait for limited releases.
3. Gaming Console Launches: Both Sony and Microsoft orchestrate elaborate launch events for their PlayStation and Xbox releases, combining long queues with midnight launch parties and exclusive giveaways.
4. F&B Launches: Food and beverage is an essential item and in places where they are the first to be launched in the country, especially if it’s a renowned brand elsewhere, be it doughnuts, cream puffs, burgers or bubble tea, you can expect queues of people that help add to the hype of the official launch. Some are puzzling while some might be ‘genuine’ buzz created organically; you be the judge of that!
The Asian Queue Revolution
The practice of professional queuing has reached new heights in Asia, where it's not just a marketing tactic but a legitimate service industry:
Japan
- Professional line-sitters ("yoyaku-tetsuke") are in high demand for limited-edition food items and restaurant openings
- Sushiro famously paid people to form queues when launching new locations to create a "popular restaurant" image
- Pokemon merchandise releases regularly generate massive queues
China
- "Paipai" (professional queuers) are organized through sophisticated apps and WeChat groups
- Luxury brands frequently employ this tactic for product launches
- Real estate developers use paid queuers to create artificial buying frenzies
- Some malls and restaurants hire fake customers to appear consistently busy
Singapore
- The "kiasu" (fear of missing out) culture drives queue marketing
- Property launches and restaurant openings regularly employ professional queuers
- The Shake Shack opening saw paid queuers waiting for days
- Hello Kitty promotions at McDonald's led to the development of professional queue management systems
The Rise of Queue-as-a-Service
A fascinating spin-off of this phenomenon is the emergence of professional queuing services where consumers pay others to wait in line for them. In Bangkok, "queue-fixers" charge around 700 baht ($27) to secure spots at popular Michelin-starred restaurants. Singapore's iQueue startup offers services ranging from $20 for one hour to $250 for 18 hours of queuing.
Digital Evolution: The Virtual Queue
Modern brands have adapted queuing psychology to the digital realm:
- Harry's razor company generated 100,000 sign-ups in a week through a virtual waiting list
- Robinhood gained nearly a million users pre-launch through a gamified referral queue system
- Monzo created engagement through a transparent waiting list where users could see their position
Effectiveness and Considerations
When executed well, queue marketing can:
- Generate substantial earned media coverage
- Create social proof of product demand
- Build community among brand enthusiasts
- Drive social media engagement through user-generated content
- Establish product exclusivity and desirability
Key Considerations Before Implementation
It might sound like a quick win and low hanging fruit to take advantage of but is it suitable for all brands?
1. Authenticity: While paid queuers can jumpstart interest, the strategy works best when there's genuine consumer demand to sustain it.
2. Market Fit: Queue marketing is most effective for products with strong appeal against scarcity and/or affordability.
3. Cultural Context: What works in Singapore might not work in New York – understand your market's relationship with the queuing culture.
4. Resource Management: Ensure proper crowd management, safety measures, and amenities for waiting customers as this might backfire on you socially if the other organic customers are unhappy and start complaining.
5. Digital Integration: Consider how physical queues can be amplified through social media and digital engagement.
6. Brand Alignment: The strategy should align with your brand's positioning and values. Not all brands think “queues” equal desirability.
How This Trend will Evolve
As consumer behavior continues to evolve, the art of queue marketing adapts accordingly. While some brands are moving away from physical queues in favor of digital alternatives, others find continued value in creating these obvious spectacles of demand.
The key lies in understanding your audience and crafting experiences that transform the simple act of waiting into a memorable brand moment. Hai Di Lao does this pretty well and turn it into almost like their trademark queuing experience for customers by providing them with snacks, refreshments and even nail services.
Whether physical or digital, the psychology behind queue marketing remains powerful: people value what they have to wait for, and the sight of others waiting makes us wonder what we might be missing out on.
Mad About Marketing Consulting
Advisor for C-Suites to work with you and your teams to maximize your marketing potential with strategic transformation for better business and marketing outcomes.
Citations:
https://kickofflabs.com/blog/5-small-businesses-made-it-big-with-prelaunch
https://www.prefinery.com/blog/referral-programs/prelaunch-campaign/examples/saas/
https://www.convinceandconvert.com/digital-marketing/how-to-create-buzz/
https://fastercapital.com/topics/creating-a-buzz-with-exclusive-launch-events.html
https://viral-loops.com/blog/buzz-marketing/
https://queue-it.com/blog/influencer-marketing-strategy-product-launch/
https://www.straitstimes.com/asia/se-asia/queue-fixers-help-tourists-stomach-long-lines-at-bangkok-s-michelin-rated-eateries
https://newsroom.airasia.com/news/2023/3/2/say-goodbye-to-restaurant-queues-with-airasia-super-apps-queuing-service
https://sg.news.yahoo.com/new-service-singapore-lets-pay-someone-queue-100357551.html
https://www.asiaone.com/business-wires/because-everything-also-need-queue-singapore-startup-will-do-it-you-20-hour
https://cnalifestyle.channelnewsasia.com/living/htb-service-help-buy-professional-queuer-concert-tickets-392956
Everyone Loves Some Data But…
The million dollar question is - what exactly do you want to get out of the data?
Everyone has been talking about data for a good decade or so and depending on your level of data maturity, you are either still trying to find where are all of your data sources are located or you are now trying to monetize the insights gathered from your data.
Woe to you if you’re in the former bucket but no surprise many organizations, especially non digital native ones are still sadly in this bucket. Wow to you if you’re in the latter bucket, so what can you do to monetize it?
Customer data platforms, data management platforms and customer relationship management platforms suddenly became the talk of town thanks to Google’s flippant stance on third party cookies, that kept rolling back and back. Companies realized their archaic customer data collection methods and storage methods (often just in excel spreadsheets (horrors!)) are not quite cutting it.
Some are even confusing the whole customer data terminology and what it means when we talk about cookies, first party data, third party data and personal information level data. Some have all but sitting in silos or disconnected platforms that don’t talk to each other while others have none (more horrors!).
Some used to think a good data visualization and analytical tool is the holy grail to get all the answers they need by simply plugging it onto of their so-called data sources. But they soon wonder - how to plug, what to plug, where to plug and why can’t it just be plugged and played?!
Things like:
is the data clean, updated or accurate?
is the data in the format that is even retrievable., extractable or readable?
do you even have the data sitting where you thought is sitting?
is your data even categorized in the logic, classification and format that is aligned with your decision-making algorithms?
million dollar question - what exactly do you want to get out of the data? What is the truth that you’re after?
If these were not considered before your so-called plug and play approach, then you get a ton of data yes and a ton of outputs yet but hardly any useful insights. You get more of what we call, data outputs in a format that looks like you just downloaded a gigantic excel spreadsheet or a bunch of fancy looking graphs to make you feel good about some visually appealing data formatted in a presentable manner
E.g. you might see things like:
xx customer transactions performed over xx period
xx customer spent over xx period
That is still not data insights, it’s just data outputs telling you how many transactions and spent over a certain period of time. What are you going to do with that without other insights around:
who are these customers in terms of their interests and life stage needs and what is the co-relation between this and what they are spending versus not spending on?
what did they exactly spend on and why that might be the case?
what are their other needs and what is the possibility for that?
what else have they spent on and why that might be the case?
are they spending more or less on the same products/period and why that might be the case?
The difference as you can see is in terms of the why and the co-relation between the transactional data and the rationale behind it.
We first need to know what it is that we want to see and how that will help us to better understand our customers’ behavior or potential to engage more with us. It helps to have these in mind, and then work backwards to derive what we then need to have in terms of data types and sources in order to arrive at the desired insights.
It’s equivalent to knowing what is that treasure you’re seeking for so you know which location, treasure map, equipment, skills, knowledge and coordinates to get there.
So, do you know the treasure you’re after?
About the Author
Mad About Marketing Consulting
Ally and Advisor for CMOs, Heads of Marketing and C-Suites to work with you and your marketing teams to maximize your marketing potential with strategic transformation for better business and marketing outcomes.
The Case of the Misunderstood MarTech and more…
Has marketing technology, content marketing and need for customer driven insights changed all that much in the last 4 years since I first wrote this post in 2020?
In 2020, I observed that companies were moving into Adobe experience management as their go-to content management platform. Come 2024, I am still experiencing some late bloomer companies especially in the content marketing game, now only moving into Adobe experience management or AEM for their content management platform in a bid to get ahead of the game in personalization of the customer experience and engagement.
They will soon be in for a surprise as AEM alone will not differentiate them from their competitors who are doing the exact same thing or have done the exact same thing as it’s after all a technology and a platform. It is merely an enabler but not the solution itself.
It doesn’t negate the need and the fact that it still boils down to having insightful and forward looking content that is useful to their customers. It certainly doesn’t negate the need for them to first have a close connection with their new and existing customers in order to know what kind of content matters to them above all the noise in the market. It certainly doesn’t remove the fact that you need a robust content pipeline to feed the hungry beast of a machine to fully maximize its capabilities especially in organic SEO and to supplement your SEM strategy.
That unfortunately is still a missing piece in lots of companies. Why is it so hard to get that thought provoking viewpoint? Why do so many so-called subject matter experts still behave and think they know it all when the truth is, they are merely regurgitating facts and what others are already saying or just passing the content strategy buck to their agencies? Why are companies who claimed to know their customers, not asking them the right questions in order to help them get the right answers?
Another common mistake is when companies don’t really know the full potential of a particular technology, including MarTech or marketing technology that they have and what they are investing in next.
What then happens is they start shopping for the next latest technology without first reviewing and fully understanding what they already have, how it’s being used, who has been using it and how it else it should actually be used. Often times, you’ll find the technology is perfectly fit for purpose but being used either by the wrong people or the wrong way. In addition, the existing organizational structure and culture might also not provide an ideal process of supporting its use.
But instead of changing that first, they start looking at the next big thing, adding to the mess of integration, implementation, adoption and usage problems that their employees and sometimes customers need to deal with. This leads to stack bloat.
4 years on and stack bloat is still a problem; in fact it has worsen and will continue to as even more MarTech tools get added to the market.
Therefore, instead of blindly investing in all sorts of MarTech tools and platforms, companies should also make sure they have the right objectives, people, processes and plans in place to fully maximize the capabilities of the MarTech. Else, they will end up with yet another white elephant and a misconception that it wasn’t a good enough technology. A case of the blind leading the blind is anything but fine.
Same goes for having the right expertise in who they hire to be thought leaders, spokespeople and making an effort to invest in getting consistent feedback and sentiments from both customers and prospects alike. This is to avoid an echo chamber situation, which is common in hierarchical organizations.
Ultimately, companies who wish to embark on their MarTech journey especially to better support their content marketing efforts need to look at it holistically and not cut corners on doing the needful. Start with your customers, then be clear with your objectives and then plan with a view to buffer for the what, who, where and how in terms of tools, processes and people in your organization.
About the Author
Mad About Marketing Consulting
Ally for CMOs, Heads of Marketing and C-Suites to work with you and your marketing teams to maximize your marketing potential with strategic transformation for better business and marketing outcomes.