57 Signals
You can scroll the shelf using ← and → keys
You can scroll the shelf using ← and → keys
Group Buying works for a reason, regardless of the service woes plaguing the industry (which have been driven by a combination of greed and inexperience, not the model itself) the principles behind Group Buying are sound. Over the next few posts, I will explain the key mechanics and position them in a series of non-Group Buying contexts.
There are six key mechanics inherent to the category that are designed to illicit an emotional response, such as an impulse purchase.![]()
This is the first of six posts I will write that describe those mechanics.
FOCUS ATTENTION ON ONLY A FEW OFFERS
Limiting promotional efforts to only 1 – 3 featured offers enhances the perception of those offers and likely uptake, minimising “noise” around those offers will further spotlight the chosen few. Featuring multiple offers on the other hand dilutes the “WOW” and runs the risk of Paradox of Choice effects.
Most email platforms will support controlled tests, such as sending one control group an EDM with multiple offers, one with the three best offers and one EDM with only a single “hero” offer.
Assuming the control conditions are sound, the likely outcome is that the Hero and “three best offers” EDMs will each provide a click through rate that is greater than the “multiple offers” EDM even though the multiple offers email included the featured offers from the other tests.
Finding the right balance is critical, and running controlled A/B and Multi Variant Tests will find that balance.
Most transactional websites share a common shortcoming, leaving a significant amount of value up-tapped. The Thank You page is seen as a simple confirmatory page, there to provide certainty to the customer that what they think just happened, just happened. But the Thank You Page is a comma, not a full stop.
You have battled hard to win the customer, fought to provide the right product at the right price, and you have lost many along the way. But once a transaction is complete, you’re done, there’s a tick in the box and the user begins again, <close window>, <new tab>.
But your customer is, at that moment, your biggest advocate – you are in the Golden Window. Your Advocate is brimming with delight at the purchase of that holiday, auction item, or e-book, so why stop now?

Immediately post transaction is the right time to harness their advocacy, and here are six ways to get value from the Thank You Page:
[check out RockLive in Australia and the many other agencies emerging in this space]
The average age of an Australian internet user is growing fast; catering for this shift is increasingly important.
According to the Australian Bureau of Statistics, 79% of Australians over the age of 15 are online – meaning adoption is way past the Early Adopter phase (According to the Diffusion of Innovations curve) and well into the Late Majority – at 84% adoption only the Laggards are yet to join!
In terms of age profile, 96% of 18 – 24 Year Olds are already online, so new audience growth will mostly come from older age segments in the coming years. In the past two years, 55 – 64’s joined the web at almost twice the rate of their younger counterparts.
This new older audience presents an interesting opportunity, by nature they are more considered and loyal (and/or resistant to change), and have an appealing cash pile at their disposal.
Winning the over 55’s is hard though, often they rely on personal recommendations and will Trial only after careful consideration, but they are worth the effort.
So here are six tips for appealing to an older user:
Every business, offline or on, generously receives up to 57 Signals from a prospective client at the point they touch your business, those signals are there to be read and understood allowing your offering to be optimised in real time – maximising the likelihood of purchase.
Find and adjust to just 5 Signals for short term gain, build a strategy to address all 57 to change your business altogether.
Finding and exploiting these signals has contributed greatly to our success at Cudo, and over the coming months I will be talking to retailers across multiple industries about finding this kind of value from their existing data.
More to follow.