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Improving Customer
Centricity through
Analytics
Huw Hopkin
Continuous circle of data
gathering and insight
development to improve
targeting
But first what to gather from
Customers in store or service
locations?
Level 1 – Cookie place but unknown
person.
Collect interests and possible other
media profile: female, age 30-39 US
SME etc
Level 2 – Registration matched to
cookie
Collect interests and attach name
and company details including
permission
Capture the
data
Data mining
for Insights
Campaign
personalizati
on
1. Define plan of data to
capture
2. Define capture points
3. Set capture mechanics
(cookies, forms)
1. Segment (Interest,
Role, Company Size)
2. Target (large,
profitable, reachable
groups who we have
messages for)
1. Load personalized file
for media/email
targeting with right
message
73% of consumers prefer to do
business with brands that use personal
information to make their shopping
experiences more relevant
(Digital Trends)
86% of consumers say personalization
plays a role in their purchasing decisions
(Infosys)
For more personalization statistics
http://bit.ly/1DYJyr1
http://bit.ly/1bwDbGf
Personalized Emails improve Click
through rates by 14% and conversion
to registration by 10%
(Aberdeen Group)
Businesses personalising web pages are
seeing on average a 19% increase in
sales
(E-consultancy)
For more personalization statistics
http://bit.ly/1DYJyr1
http://bit.ly/1bwDbGf
What are the three most important sources of information
you use to help make buying decisions?
Source: Cisco IBSG
Therefore you need wifi
on site, quicker and
costs less for customer
People will spend more time in locations that offer
good/free and secure wifi
Aware Connect Capture
Step by Step
• Contest/Lucky draw entry
• Second screen for advice
• Free wifi access
• Amazing app download
• Gifts of goodies
• Find something – here or another store
Aware
Ask a friend if this suits
you via Whatsapp
• Anonymous person
with a mobile (mac
address)
• Who has a path of
interest through your
store
• But that’s as far as
it goes until…
• You see a way to
login and have a
reason
Some developments
•Dynamic mac addresses
from Apple
•Ibeacon (optin)
• Hotspots
• Historical recognition
• Congestion/Flow
• Efficiency/staffing/display
• But there has
to be a
reason…
Success
We now have an identity,
age, gender, name, details,
mobile, email
Issue the promo code for
use during check out
Promo Code
232425
But wait…one more challenge remains – connecting
digital identity to the transaction at check out
Or
What’s your mobile
so we can let you
know about
promotions
Ask for mobile or email
during check out to match
to digital profile
Customer logs in with mobile
device and gets cookied
Personal
profile
Transaction
History
Shopping
profile
Value Frequency
Recency
Footpath
Lifestage
Products
Digital Profile
Frequency
Recency
Site visits
Location/Geo Interests
6. Call an assistant
7. Find stock availability on the spot –
scan the barcode of related item
8. Reserve an item
9. Compare options
10. Create a wish list/shopping lists
1. Acquisition of new 'look-a-like'
customers
2. Deliver profile appropriate offers –
digital coupons/promo code
3. Personalized recommendations
via email/whatsapp
4. Informercial - survey with
comparative reward “Find your
style…?”
5. Trigger digital signage to change
with proximity
Lifestage Lifestyle
Recency,
Frequency and
Value
Determined by registration
profile & basket
Determined by basket
of products
Determined by time
and spend
• Pet food is high margin
• Targeted promotion of social
pages to Pet food buying
customers
• Special offers to cross-sell -
more uptake
• Offers sponsored by
manufacturers
• Improved uptake
Give
rewards/promotions
Yes but… Real value is the insight
from tracking
Cost Value of Insight
To be Successful
Less than..
• Journey to hyper-relevance stats with data capture
• View from the industry – many are getting uplift in results therefore
impacting the bottom line
• How’s it all done
• Wifi is the beginning of the Customer Experience, insights lead to
discovery and very specific goals to change customer behaviour
Improving Customer Centricty with Retail Insights from Wifi

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Improving Customer Centricty with Retail Insights from Wifi

  • 2. Continuous circle of data gathering and insight development to improve targeting But first what to gather from Customers in store or service locations?
  • 3. Level 1 – Cookie place but unknown person. Collect interests and possible other media profile: female, age 30-39 US SME etc Level 2 – Registration matched to cookie Collect interests and attach name and company details including permission
  • 4. Capture the data Data mining for Insights Campaign personalizati on 1. Define plan of data to capture 2. Define capture points 3. Set capture mechanics (cookies, forms) 1. Segment (Interest, Role, Company Size) 2. Target (large, profitable, reachable groups who we have messages for) 1. Load personalized file for media/email targeting with right message
  • 5. 73% of consumers prefer to do business with brands that use personal information to make their shopping experiences more relevant (Digital Trends) 86% of consumers say personalization plays a role in their purchasing decisions (Infosys) For more personalization statistics http://bit.ly/1DYJyr1 http://bit.ly/1bwDbGf
  • 6. Personalized Emails improve Click through rates by 14% and conversion to registration by 10% (Aberdeen Group) Businesses personalising web pages are seeing on average a 19% increase in sales (E-consultancy) For more personalization statistics http://bit.ly/1DYJyr1 http://bit.ly/1bwDbGf
  • 7. What are the three most important sources of information you use to help make buying decisions? Source: Cisco IBSG Therefore you need wifi on site, quicker and costs less for customer
  • 8. People will spend more time in locations that offer good/free and secure wifi
  • 10. • Contest/Lucky draw entry • Second screen for advice • Free wifi access • Amazing app download • Gifts of goodies • Find something – here or another store Aware Ask a friend if this suits you via Whatsapp
  • 11. • Anonymous person with a mobile (mac address) • Who has a path of interest through your store • But that’s as far as it goes until… • You see a way to login and have a reason Some developments •Dynamic mac addresses from Apple •Ibeacon (optin) • Hotspots • Historical recognition • Congestion/Flow • Efficiency/staffing/display • But there has to be a reason…
  • 12. Success We now have an identity, age, gender, name, details, mobile, email Issue the promo code for use during check out Promo Code 232425 But wait…one more challenge remains – connecting digital identity to the transaction at check out Or What’s your mobile so we can let you know about promotions Ask for mobile or email during check out to match to digital profile Customer logs in with mobile device and gets cookied
  • 14. 6. Call an assistant 7. Find stock availability on the spot – scan the barcode of related item 8. Reserve an item 9. Compare options 10. Create a wish list/shopping lists 1. Acquisition of new 'look-a-like' customers 2. Deliver profile appropriate offers – digital coupons/promo code 3. Personalized recommendations via email/whatsapp 4. Informercial - survey with comparative reward “Find your style…?” 5. Trigger digital signage to change with proximity
  • 15. Lifestage Lifestyle Recency, Frequency and Value Determined by registration profile & basket Determined by basket of products Determined by time and spend
  • 16. • Pet food is high margin • Targeted promotion of social pages to Pet food buying customers • Special offers to cross-sell - more uptake • Offers sponsored by manufacturers • Improved uptake
  • 17. Give rewards/promotions Yes but… Real value is the insight from tracking Cost Value of Insight To be Successful Less than..
  • 18. • Journey to hyper-relevance stats with data capture • View from the industry – many are getting uplift in results therefore impacting the bottom line • How’s it all done • Wifi is the beginning of the Customer Experience, insights lead to discovery and very specific goals to change customer behaviour

Hinweis der Redaktion

  1. This is the 1st of 5 findings based on Cisco Internet Business Solutions Group (IBSG) retail research in 2011. http://www.cisco.com/web/about/ac79/docs/retail/CatchEmKeepEm_PoV_010512FINAL.pdf 1,000 U.S. and 1,000 U.K. customers were asked a series of questions. Finding 1: Online Sources Trump “Real People” for Making Buying Decisions. The survey asked the following question: What are the three most important sources of information that you use to help make buying decisions? As you can see from the results, the top source was “Customer reviews on retailer sites” at 68%. This moved from #2 in the 2010 survey to #1 in the 2011 survey. The second most important source of information was “Friends and Family” at 41% which moved down from the 2010 results Note to Speaker: Read other results as applicable for your audience.