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E-MERCHANDISING TRAVEL INSURANCE
Introduction to Hepstar:
“We e-merchandise travel insurance”
Hepstar is a global leader in personalised travel
insurance e-merchandising.
We assist online travel merchants, insurers and
airlines to optimise insurance sales through machine-
learning- driven personalisation, pricing optimisation
and advanced promotional tools, as well as
continuous AB testing.
Our focus is on maximising value creation for our
partners while improving customer experience
through a customer centric approach.
SOLVING THE PERSONALISATION DILEMMA…
Specialised merchandising services &
Easy to implement technology
• Real-time recommendations (machine-learning)
• Advanced promotional tools
• Continuous AB – testing
• Simple but powerful API
• Global content aggregation
Personalising ancillary products/services [alone] could
increase ancillary revenue (And Premiums) incrementally
by as much as
SOURCE: Sabre, The Evolution of Customer Data, How data-driven personalistion will change the game of airlines, 2015
THE OPPORTUNITY (according to Sabre)
How much is in it for me as an airline and
insurers?
22%
Generating recommendations through neighbourhood /
user-based collaborative filtering algorithms
Product 1 Product 2 Product 3 Product 4
User Profile 1 User Profile 2 User Profile 3
Machine learning: the Hepstar recommendation engine automatically learns and analyses purchasing behaviour of customer profiles.
Data from other users and product purchases is collected, compared and through the application of data algorithms, it returns a list of
recommended products based on the computed product weighting.
HEPSTAR USES DATA ANALYTICS
and machine learning to profile customers which drives premium uplift
API
Generic Travel Insurance
Travel with peace of mind
ANONYMOUS CUSTOMER 1?
INDUSTRY STANDARD,
each customer receives the
same product offering
Generic
One-fits-all Product
Snowboard 1
FAMILY TRAVELER
Bob is mostly travelling with his family and usually does
not purchase insurance. He recently experienced delays
and his wife loves snowboarding.
Bob
With Hepstar,
each customer knows that
we are paying attention to
their specific needs
Next
Best Choice
Top
Recommended Product
Ancillary Specific
Product for Bob
Personalized product offering with
Hepstar merchandising engine ->
Not eligible for
insurers products
Offered budget
insurance Product
Offered family
insurance Products
Not eligible for
products based on
residency rules
Non eligible
customers identified
and drive product
innovation &
development
process
API GAP
ANALYSIS
Case study: European OTA with markets in Asia
Understanding customer trends/profiles through
continuous data analysis
+
Adjusting the travel insurance product portfolio
and merchandizing strategies accordingly
=
Insurance revenue increase
300%
0%
20%
40%
60%
80%
100%
0 1 2 3 4 5 6 7 8 9 10 11 12
No products returned
Weeks 2018
Increase the product portfolio to cater for new customer profiles & adjust merchandising strategies
0
1000
2000
3000
4000
5000
1 2 3 4 5 6 7 8 9 10 11 12
Traffic
Customers not being offered insurance products reduced by more than 60%, while the
average weekly website traffic did not reduce.
Weeks 2018
The result of more customers being offered insurance products is a higher overall conversion, leading to an increase in
policy issues. The outcome of the increased number of policies issued was a tripling (300%) of insurance premiums.
0
50
100
150
200
250
300
350
1 2 3 4 5 6 7 8 9 10 11 12
Policies issues per week
0%
1%
2%
3%
0 1 2 3 4 5 6 7 8 9 10 11 12
Conversion
Airline
Partner
Global
Partner
Global
Partner
OTA
Partner
HEPSTAR
we like insurance… but we technology!

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Startup InsurTech Award-Hepstar

  • 2. Introduction to Hepstar: “We e-merchandise travel insurance” Hepstar is a global leader in personalised travel insurance e-merchandising. We assist online travel merchants, insurers and airlines to optimise insurance sales through machine- learning- driven personalisation, pricing optimisation and advanced promotional tools, as well as continuous AB testing. Our focus is on maximising value creation for our partners while improving customer experience through a customer centric approach.
  • 3. SOLVING THE PERSONALISATION DILEMMA… Specialised merchandising services & Easy to implement technology • Real-time recommendations (machine-learning) • Advanced promotional tools • Continuous AB – testing • Simple but powerful API • Global content aggregation
  • 4. Personalising ancillary products/services [alone] could increase ancillary revenue (And Premiums) incrementally by as much as SOURCE: Sabre, The Evolution of Customer Data, How data-driven personalistion will change the game of airlines, 2015 THE OPPORTUNITY (according to Sabre) How much is in it for me as an airline and insurers? 22%
  • 5. Generating recommendations through neighbourhood / user-based collaborative filtering algorithms Product 1 Product 2 Product 3 Product 4 User Profile 1 User Profile 2 User Profile 3 Machine learning: the Hepstar recommendation engine automatically learns and analyses purchasing behaviour of customer profiles. Data from other users and product purchases is collected, compared and through the application of data algorithms, it returns a list of recommended products based on the computed product weighting.
  • 6. HEPSTAR USES DATA ANALYTICS and machine learning to profile customers which drives premium uplift API
  • 7. Generic Travel Insurance Travel with peace of mind ANONYMOUS CUSTOMER 1? INDUSTRY STANDARD, each customer receives the same product offering Generic One-fits-all Product
  • 8. Snowboard 1 FAMILY TRAVELER Bob is mostly travelling with his family and usually does not purchase insurance. He recently experienced delays and his wife loves snowboarding. Bob With Hepstar, each customer knows that we are paying attention to their specific needs Next Best Choice Top Recommended Product Ancillary Specific Product for Bob Personalized product offering with Hepstar merchandising engine ->
  • 9. Not eligible for insurers products Offered budget insurance Product Offered family insurance Products Not eligible for products based on residency rules Non eligible customers identified and drive product innovation & development process API GAP ANALYSIS
  • 10. Case study: European OTA with markets in Asia Understanding customer trends/profiles through continuous data analysis + Adjusting the travel insurance product portfolio and merchandizing strategies accordingly = Insurance revenue increase 300%
  • 11. 0% 20% 40% 60% 80% 100% 0 1 2 3 4 5 6 7 8 9 10 11 12 No products returned Weeks 2018 Increase the product portfolio to cater for new customer profiles & adjust merchandising strategies 0 1000 2000 3000 4000 5000 1 2 3 4 5 6 7 8 9 10 11 12 Traffic Customers not being offered insurance products reduced by more than 60%, while the average weekly website traffic did not reduce. Weeks 2018 The result of more customers being offered insurance products is a higher overall conversion, leading to an increase in policy issues. The outcome of the increased number of policies issued was a tripling (300%) of insurance premiums. 0 50 100 150 200 250 300 350 1 2 3 4 5 6 7 8 9 10 11 12 Policies issues per week 0% 1% 2% 3% 0 1 2 3 4 5 6 7 8 9 10 11 12 Conversion

Editor's Notes

  1. We are from Cape Town and have a Office in Istanbul but we operate on a global level and serve clients across the world. I am very excited having been granted the opportunity to present to this audience.
  2. Hepstar is a provider of advanced e-merchandizing tools which enable OTAs and airlines to maximize ancillary revenues from their travel insurance ancillary vertical. We merchandise travel insurance for airlines and online travel agencies. By offering the right product to the right customer at the right time, we create a win win value proposition. Our travel partner increases their premium per booking and their customer receives a personalized and revelant product experience which drives loyalty