Buyapowa: as seen on ASOS

ASOS

When ASOS was set up in the year 2000, just about everyone said that selling fashion online simply couldn't be done. "Ha!" they sneered, while waiting for their dial-up modems to download 'Who Let the Dogs Out' on Napster.

Well, those people are still probably working off their blushes, while ASOS go from strength to strength as the most-searched fashion retailer on Google, selling over 100,000 branded and own-brand products to 13.4 million active customers across the globe. Including eight men's t-shirts and 30 dresses every single minute.

They've achieved that massive success via relentless innovation. As ASOS put it themselves, "we still take risks to this day. We back new trends, brands, platforms and people we believe in, and always go for them full throttle."

As of today, that exciting mix includes the Buyapowa platform, which ASOS have selected to power referral programmes around the world - starting in Russia. This follows our ground-breaking work with other leading fashion retailers including New Look, River Island, Nelly and PrettyLittleThing.

ASOS Russia

Stay tuned for more details and, if you'd like to learn more about our platform and the exciting work we're doing in the world of fashion, just get in


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Conrad plug in Buyapowa to power their referrals

Conrad

As one of Europe's leading multi-channel retailers of electronic gadgets and gizmos, Conrad know a thing or two about technology. That's why millions of customers visit their websites and stores each month, selecting from among half a million products from brands including Apple, Microsoft, Philips, Samsung and LG.

It's also why they've quickly spotted the potential in referral technology: the fast-growing marketing tool in mainland Europe. To get up and running quickly - but with unlimited room for growth - they've selected the Buyapowa referral platform, and the first of their programmes goes live across France today.

Phase one of the programme sees every successful referral rewarded with €15 credit, while friends are incentivised to make their first purchase at Conrad via a 20% saving plus free delivery. Further phases will roll out over the coming weeks and months, as Conrad experiment with Buyapowa's unique multiple-referral engine and omnichannel referral tools.

Stay tuned for more details and, if you'd like to learn more about our platform and the exciting work we're doing in the world of retail, just get in touch.

See Recent Buyapowa Client Activity:


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Addison Lee: you think it's all Uber. It isn't now.

We're delighted to announce the brand new referral programme for Addison Lee, London’s most trusted business-class car service. Launching today, the programme will equip and incentivise an enviable customer-base of over 10 million passengers to get their friends experiencing first class service in one of Addison Lee's 5,000-strong fleet of luxury cars.

Addison Lee's mission statement marks them out as an ideal partner for Buyapowa: "By allying the latest technologies with traditional customer service values, we can not only disrupt the industry, we can revolutionise it." Perhaps surprisingly, though, this is the brand's first venture into referral marketing - the very technology that famous propelled their competitor, Uber, to staggering success. That's because Addison Lee's passion for technology is predicated less on what's shiny and new and more on the real-world benefits and value that technology can deliver their customers.

To put it bluntly: until they discovered our award-winning platform, nothing was good enough.

That's why, together, our intention isn't simply to replicate Uber's referral programme - and you can read our in-depth critique of that programme here - but dramatically to improve upon it. Stay tuned for more on Addison Lee's exciting new programme but, in the


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Uber: lagging behind in the rearview mirror

As you may have read, we've recently launched a cutting-edge referral programme for London’s most trusted business-class car service, Addison Lee. Now, the first thing you might think when you hear "referral" and "car service" is Uber, but our intention isn't simply to replicate Uber's referral programme, but dramatically to improve upon it. If you think that's a tough call, let's step back and examine Uber's programme in more detail. You'll be surprised how much it leaves to be desired. But first, some context.

Uber's dramatic rise via referral

Back in 2012, if you’d walked up to a Londoner and said the word ‘Uber’, they probably would’ve started looking for neck tattoos and a copy of the UKIP manifesto sticking out of your pocket. Today, as Uber approaches its fifth birthday here in the capital, everyone knows you’re talking about the £50 billion cab company - and, what’s more, they probably know why you’re talking to them about Uber in the first place. You’re shilling your referral code in the hope of earning a free ride.

Referrals are one of the main reasons why Uber grew from tiny startup to dominant upstart. Back


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One referral good. Many referrals better.

Get your customers referring again & again

Most referral platforms regard one referral per participant as a success but, here at Buyapowa, some of our clients regularly see 10, 20, even hundreds of paying referrals generated by their most active super-advocates. In fact, across our entire range of clients, one in every 50 referrers is responsible for almost 20% of all referrals. Find these people, equip, incentivise and nurture them, and the rewards can be immense.

In the slides below, we examine some great examples and unveil the tools and tactics you need to get your customers bringing in more friends than ever before. Some of them make use of technology, others lean on psychology, but they can all make a massive difference to the success of your referral programme.


Download as PDF (2.4MB)

If you have a referral scheme and would like to know how to get your customers referring more of their friends - or even if you're thinking about setting up your very first scheme and want to get ahead of the curve - we'd love to chat with you


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