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UEF // University of Eastern Finland Analysing and managing tourism business online E-business in Tourism, Finnish University Network for Tourism Studies Juho Pesonen, head of research, centre for tourism studies, University of Eastern Finland, [email protected] @eppuJ

E-business in tourism: Analysing and managing online business

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Page 1: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Analysing and managing tourism

business online

E-business in Tourism, Finnish University Network for Tourism Studies

Juho Pesonen, head of research, centre for tourism studies, University of Eastern Finland, [email protected] @eppuJ

Page 2: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland 9.11.2016 Juho Pesonen 2

Attitude

Tourism online business tools and channels

All competitors are online • expenditure

Home page Basic social media (Facebook)

Digital company • Business depends on technology

Measuring and monitoring effectiveness

Benefits of digital business • Investment

Company strategy • Why do we exist? • For whom do we exist? • What we can offer that no one else can?

Mobile

Segment and market specific channels

TripAdvisor

Real-time customer service

E-commerce and conversion

Youtube Content management strategy

SEO

SEM & SMM

Digital customer experience • Customer point of

view

Mobile application

OTAs

ERP ”Crazy” tests and campaigns

Security

Instagram

Marketing automation and AI

CRM

E-mail

Page 3: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

“Data Is the New Oil of the Digital Economy” https://www.wired.com/insights/2014/07/data-new-oil-digital-economy/

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Page 4: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Important terms

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•Lead

•CRM

•Conversion

•Database

•KPI

•Measurement

•Big data

•A/B testing

•ROI

•How data and wisdom differ?

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UEF // University of Eastern Finland

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Page 6: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

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Page 7: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Why data is valuable??

•There is a lot of it

•Leads to better decisions

•Easier to justify your opinions and decisions

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Page 8: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Success in business requires a) data collection b) data processing c) data analysis and d) using data.

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Strategy and goals define

Page 9: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Company strategy and goals

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Page 10: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

What is company strategy

•Defines what is important and what is not

•What needs to be measured?

•Success of the strategy.

– All employees should know what the strategy is and how their work helps to company to achieve that.

•Different strategies in different markets

– Defines the focus.

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Page 11: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

What are the goals of the company?

•Maximising profit in short term?

•Outdoing their competitors?

•Maximal growth?

•Gaining market share?

•Steady income?

•Creating jobs?

•Being part of the community? 9.11.2016 11

Page 12: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

ROI (Return-on-investment) main marketing effectiveness measurement

•Makes it possible to compare various campaigns

•ROI= (Income from an investment – costs of the investment) / cost of the investment

•How much money does an investment bring back to the company?

•Does not take into account time frame, fixed costs etc. Useful when examining campaigns and marketing actions.

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Page 13: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Data collection

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Page 14: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

What kind of data needs to be collected?

•It is important to collect data from various things

– What information is critical and useful?

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Page 15: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Liidit

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•How systematic is lead collection in the organization?

•How leads are transformed into customers?

Page 16: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Data processing

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Page 17: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Making data useful for analysis

•Removing bad answers

•Combining various data sets

•Changing data formats for analysis programs.

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Page 18: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Analysing data

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Page 19: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Easy and complex measurements

•Easy:

– Page visits

– Offer requests

– YouTube video watchers

– Facebook followers

•Complex:

– Customer lifetime value

– Social media ROI

– Attributionmodelling

– Effects of customer satisfaction on company profits

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Page 20: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Analytics

•Facebook, Twitter, Google Analytics, CRM-systems, Yandex, vKontakte and nearly all other social media platforms provide plenty of opportunities to study your audience and actions.

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Page 21: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Visualization

•How you present data and results makes all the difference

•Good data is easy to read and understand

•Includes context

– Trend

– Comparison

•Simplicity

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Page 22: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

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Page 23: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Utilizing data

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Page 24: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Who has access to data? Who is responsible that right data finds right person?

•Are there silos in the company that do not exchange information that would be useful?

•How marketing data is transferred to sales?

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Page 25: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Segmentation

•Know your customers

– Your new customers are probably very similar to your existing customers.

– How deep and thorough is your customer knowledge? How well you know your segments?

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Page 26: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Test and optimization

•Most important tool available in online marketing.

•Maxmising ROI

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Page 27: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Measuring conversion

•Yandex Goals: https://yandex.com/support/metrica/reports/add-goals.xml

•Facebook-pixel: https://www.facebook.com/business/help/952192354843755

•Google: https://support.google.com/adwords/answer/1722054?hl=en

•Need access to page source code.

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Page 29: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

Putting it all together

•http://pages.klipfolio.com/marketing-champion/

•Combining marketing analytics from various sources

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Page 30: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

AI-analytics

•Increase in computation power

•Utilizing clowd services

•We have so much data available that it is impossible to analyze it all with human effort.

•IBM Watson

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Page 31: E-business in tourism: Analysing and managing online business

UEF // University of Eastern Finland

New kind of possibilities for data analysis

•Microsoft Power Business Intelligence

•IBM Watson

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