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INCREASING SALES USING DATA
AND PERSONALISATION
Presented By
Denis Kondopoulos
(MBA MBCS CITP CEng CIM)
Today’s Topic
• Increasing sales via use of data
and personalisation.
• Based on a real example:
– La Veranda Resort (Accor Hotels)
• Published:
– The Routledge Handbook of
Hospitality Management
• Discussion:
– Q&A
La Veranda Resort, Phu Quoc
About me
• Technical project manager and digital marketing specialist with 20+ years of
experience in a variety of sectors and countries.
• Officially a Project Manager, but in reality a hybrid of management, technology
and marketing.
• Author (Books, Publications) and Speaker on Technology / Digital Marketing
• Speaker at Google campus London
• Academic Author and Visiting lecturer at university of Brighton,
Derby, and Oxford Brookes
• Chartered IT Professional ▪ Chartered Engineer
• Chartered Marketer ▪ Google Certified (Search, Mobile, Video, Display, Shopping)
Personalised ReMarketing
Goal: Bookings and/or Enquiries
Method: Target visitors and entice them to
return to the site, via the use of personalised
offers.
Method
Problem: Initially we do not know much about the
user. How do we personalise?
Solution:
• Mark user entry
• Track user journey
• Some visitor information may be captured, but all
data are in different systems
• Create “hub” which combines all collected data
and manages personalised remarketing
But first…
Improve site performance
Personalised ReMarketing
1. Website marks/tracks visitor
2. Uses Google Analytics API to track user journey, including goals
(eg. enquiries, bookings)
3. If users signs up for newsletter the hotel knows the
CustomerType (eg. family, single, couple, etc)
4. A business-logic layout would analyse the above information, and
depending on the user actions and customer type, a personalised
email (with a special offer relevant to this type of customer)
would be sent to the customer to entice him to book.
5. The extra mile: Upon user re-action to the personalised email, a
remarketing campaign would then be initiated on social media
(facebook) to re-market the offering to this particular user.
Personalised ReMarketing
“hub”CRM
Analytics
Browser
Cookies
Email
Marketing
system
Geolocation
Personalisation
• Personalised Email Remarketing
• ReMarketing (Search and Social)
Offers Database
Results
Have not been allowed to share figures, but:
• Bounce rate, upon re-entry < 45%
• User journey, upon re-entry: 3min+
• Occupancy rate at 97% for several months.

Questions?
Ask now
or email: denis@naxtech.com


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Denis Kondopoulos: Increasing Sales Using Data & Personalisation

  • 1. INCREASING SALES USING DATA AND PERSONALISATION Presented By Denis Kondopoulos (MBA MBCS CITP CEng CIM)
  • 2. Today’s Topic • Increasing sales via use of data and personalisation. • Based on a real example: – La Veranda Resort (Accor Hotels) • Published: – The Routledge Handbook of Hospitality Management • Discussion: – Q&A
  • 4. About me • Technical project manager and digital marketing specialist with 20+ years of experience in a variety of sectors and countries. • Officially a Project Manager, but in reality a hybrid of management, technology and marketing. • Author (Books, Publications) and Speaker on Technology / Digital Marketing • Speaker at Google campus London • Academic Author and Visiting lecturer at university of Brighton, Derby, and Oxford Brookes • Chartered IT Professional ▪ Chartered Engineer • Chartered Marketer ▪ Google Certified (Search, Mobile, Video, Display, Shopping)
  • 5. Personalised ReMarketing Goal: Bookings and/or Enquiries Method: Target visitors and entice them to return to the site, via the use of personalised offers.
  • 6. Method Problem: Initially we do not know much about the user. How do we personalise? Solution: • Mark user entry • Track user journey • Some visitor information may be captured, but all data are in different systems • Create “hub” which combines all collected data and manages personalised remarketing
  • 8. Personalised ReMarketing 1. Website marks/tracks visitor 2. Uses Google Analytics API to track user journey, including goals (eg. enquiries, bookings) 3. If users signs up for newsletter the hotel knows the CustomerType (eg. family, single, couple, etc) 4. A business-logic layout would analyse the above information, and depending on the user actions and customer type, a personalised email (with a special offer relevant to this type of customer) would be sent to the customer to entice him to book. 5. The extra mile: Upon user re-action to the personalised email, a remarketing campaign would then be initiated on social media (facebook) to re-market the offering to this particular user.
  • 10. Results Have not been allowed to share figures, but: • Bounce rate, upon re-entry < 45% • User journey, upon re-entry: 3min+ • Occupancy rate at 97% for several months. 
  • 11. Questions? Ask now or email: denis@naxtech.com 