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The Impact of Referral Coupons

July 06, 2016 / 06:04

This episode features Wharton marketing professor Raghu Iyengar discussing his research on referral coupons and their impact on customer behavior and firm revenues.

Iyengar explains that his research involved a field experiment with an international beauty company that implemented referral coupons, which can be shared among customers. Contrary to expectations, the findings revealed that referral coupons did not perform better than traditional coupons.

He highlights that high loyalty customers tend to be better brand ambassadors and share coupons more effectively, while low loyalty customers are less likely to redeem referral coupons. This suggests that companies should be cautious in asking all customers for referrals.

Iyengar emphasizes the importance of customizing marketing strategies rather than using a one-size-fits-all approach. He notes that transparency about customer value can enhance customer engagement and sharing behavior.

Looking ahead, Iyengar expresses interest in combining field experiments with big data, particularly in the context of Internet of Things products and their impact on consumer behavior.

TL;DR

Raghu Iyengar discusses his research showing referral coupons may not improve customer behavior as expected, emphasizing the need for customization in marketing strategies.

Episode

6:04
00:00:01
today we're speaking with Wharton
00:00:03
marketing professor Raghu iyengar about
00:00:06
his research that looks at the impact of
00:00:07
referral coupons on customer behavior
00:00:10
and firm revenues thanks for joining us
00:00:12
Raghu thank you very much d for having
00:00:13
me can you give us a brief overview of
00:00:15
your research sure so this research was
00:00:18
a field experiment that we conducted in
00:00:19
collaboration with an international
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beauty company so this company like many
00:00:23
other companies was taking inspiration
00:00:24
from a lot of interesting things that
00:00:26
are going on in the couponing world so
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if you look at what's really hot these
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days it's about referrals many companies
00:00:32
are doing it especially tech companies
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Airbnb does it uber does it draw bak was
00:00:36
doing it you know PayPal was doing it
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many companies do it so this company
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decided that they wanted route referral
00:00:42
coupons and the idea of reference who
00:00:44
pawns is the following let's say I send
00:00:46
you Steve as a customer a coupon if you
00:00:49
can use it yourself that's great but
00:00:50
wouldn't it be great if you can share
00:00:52
that coupon with your friends that's
00:00:54
what we're calling referral coupon a
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coupon that is redeemed by the person
00:00:57
who receives it but also can be shared
00:00:59
with other customers so on the surface
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you might imagine referal coupons are
00:01:02
better than typical coupons or the
00:01:04
traditional ones which cannot be shared
00:01:05
what did we find well in fact they were
00:01:08
not that better in fact they were worse
00:01:10
so does that was very surprised and what
00:01:13
were the key takeaways from the research
00:01:15
so the big takeaway I think for us is
00:01:17
while referrals clearly are a practice
00:01:19
which is very mainstream one should take
00:01:22
a little pause it might not be the case
00:01:24
that referrals are always good in fact
00:01:26
it is the case that customers who come
00:01:28
from referrals one of my colleagues at
00:01:30
Wharton christoph vanden bolter has
00:01:32
found that customers were coming from
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referrals are better than other
00:01:35
customers / / about the sender's the
00:01:37
sender's who have to make those
00:01:39
referrals they are not that easy to do
00:01:41
you have to think about who is going to
00:01:43
be better off from getting this referral
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so a big takeaway was that don't ask for
00:01:47
referrals from all of your customers in
00:01:49
fact what we found was customers who are
00:01:52
high Lowell T customers these are people
00:01:54
who are committed to the brand these are
00:01:56
people who bought from you quite a lot
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these people turn into brand ambassadors
00:02:00
they not only redeem a lot on their own
00:02:02
they share that coupon with many other
00:02:04
people but what happens for the low
00:02:07
loyalty customers these are customers
00:02:08
who occasionally buy from you they're
00:02:10
not frequent purchases they in fact are
00:02:12
not very happy getting that coupon
00:02:14
why because in some sense you're asking
00:02:17
them to do the job for you they might be
00:02:19
skeptical as to why is this firm wanting
00:02:21
us to do the job for them and why do
00:02:23
they want my network so what do we find
00:02:25
these low loyalty customers in fact
00:02:28
redeem a lot less when they're given
00:02:30
refuge upon as a course to standard good
00:02:32
and did any of these findings are
00:02:34
surprised here I think you know when you
00:02:37
think about referrals it's a big
00:02:38
practice you know the typical notion is
00:02:40
that referals work I think what we found
00:02:43
was it doesn't work for everyone even a
00:02:45
practice like sending out raffle coupons
00:02:47
should be customized I think that was a
00:02:49
bit surprising to us because on the
00:02:51
surface it looks like something that
00:02:52
shouldn't change people's behavior
00:02:53
whether they get a referral coupon or a
00:02:56
regular coupon but what we found time
00:02:58
and again and we did a bunch of field
00:02:59
experiments in this paper we found time
00:03:01
and again it's a very robust finding in
00:03:03
fact exposing people to referral coupons
00:03:05
even if they don't share themselves it
00:03:08
actually changes their own behavior so
00:03:09
you mentioned customization so what are
00:03:11
the key for practical implications for
00:03:14
marketers so I think customization of
00:03:16
the bat is very important you know what
00:03:19
it looks like is many practices which
00:03:21
might seem as it might work in mass you
00:03:24
send everyone a coupon that's not to be
00:03:26
the case I think you should even think
00:03:28
about customization right tail another
00:03:30
thing that we found which was also
00:03:31
managed really interesting as part of
00:03:32
the study was in one of the conditions
00:03:34
we sent a referent coupon along with a
00:03:37
value of how important the customer is
00:03:39
for example I'll send referral coupon to
00:03:42
Steve and say well Steve here's a coupon
00:03:44
for you that you can share with your
00:03:45
friends but also note to see that you're
00:03:47
a very important customer for us just a
00:03:50
very fact that the company is being
00:03:52
transparent they be upfront about how
00:03:54
important you are actually change people
00:03:56
to become even better brand ambassadors
00:03:58
they redeemed a lot more they shared it
00:04:01
with their friends a lot more they
00:04:02
shared it with friends who bought a lot
00:04:04
more custom lot more products from the
00:04:06
comfortable and what sets your research
00:04:08
apart from other research in this area
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so much work typically in referrals
00:04:13
first of all it's quite limited and what
00:04:15
is present there is typically based on
00:04:17
secondary data this is data based on
00:04:19
historical purchases so what we wanted
00:04:22
to do was to work closely with the
00:04:24
company with a forward-looking approach
00:04:25
in the sense why don't we do a field
00:04:27
experiment
00:04:28
which can help us asli look at the
00:04:30
impact of ruffle coupons on future
00:04:32
behavior so if the most important part
00:04:35
of the research is looking at causal
00:04:37
impact doing a field experiment is a
00:04:40
gold standard so I think what sets this
00:04:42
research apart is the ability to
00:04:44
collaborate closely with the company and
00:04:46
doing a field experiment and what do you
00:04:49
think you're going to look at next so I
00:04:51
think I really enjoy the idea of doing
00:04:53
field experiments together with big data
00:04:55
I think to me that alliance or that
00:04:58
Nexus is going to be very fruitful later
00:05:00
on so one of the things that I'm very
00:05:02
interested in this idea of Internet of
00:05:03
Things of course there are many
00:05:05
companies out there there are you know
00:05:07
coming up with different products for
00:05:09
example home automation products home
00:05:11
monitoring products do these really help
00:05:13
how much do they help what what do
00:05:16
consumers learn from these products so
00:05:18
we are working very closely with a
00:05:19
company in Austin that is doing a lot of
00:05:22
these internet of things in terms of
00:05:23
electricity savings they are actually
00:05:25
doing a lot of experiments informing
00:05:27
people how much electricity they are
00:05:29
using sending out text messages using
00:05:31
smart thermostats to see whether they're
00:05:34
able to regulate their usage that's the
00:05:37
next thing great thanks so much for
00:05:39
joining us today thank you very much
00:05:40
Steve
00:05:56
you

Episode Highlights

  • The Surprising Truth About Referral Coupons
    Raghu Iyengar's research reveals that referral coupons may not always be effective, especially for low-loyalty customers.
    “Referrals might not be the case that always work.”
    @ 01m 22s
    July 06, 2016
  • Importance of Customization in Marketing
    Iyengar emphasizes that marketing strategies, including referral coupons, should be customized for effectiveness.
    “Customization is very important.”
    @ 03m 16s
    July 06, 2016

Episode Quotes

  • Referrals might not be the case that always work.
    The Impact of Referral Coupons
  • Don't ask for referrals from all of your customers.
    The Impact of Referral Coupons
  • Customization is very important.
    The Impact of Referral Coupons

Key Moments

  • Referral Coupons Research00:07
  • Key Takeaways01:15
  • Customer Loyalty Insights01:54
  • Field Experiment Approach04:28
  • Future Research Directions04:51

Words per Minute Over Time

Vibes Breakdown

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