Retail Challengers - Presentation by Chris Ohlund, CEO of Verivox at the NOAH 2015 Conference in Berlin, Tempodrom on the 10th of June 2015.

2. SAVE THE DATE
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www.noah-conference.com/request-invitation
Old Billingsgate, London Tempodrom, Berlin
12-13 NOV2015 8 - 9 JUN2016

4. MISFITS REBELS

5. RESULTS
OF DIGITAL
DISRUPTION
70%+ of Fortune 500
companies have
disappeared since 1990
Digitalisation is the
driving force trans-
forming business
Digital disruption
demolishes old
business models
Big data permits new
and amazing customer
insights

6. VERIVOX
has disrupted
the energy market
1
German electricity market liberalised in 1998.
Verivox was founded and compared offers
nationwide
2
In 2005 the gas market was liberalised
and added to Verivox comparison portfolio
3
Breakthrough year with 600.000 brokered
switches only in 2007 – customers had choice
4
Customer acquisition cost decreased c.60+%
for established energy providers
5 In 2014 almost one million German households
switched their energy provider via Verivox and
saved in excess of €300.000.000

7. SUCCESS-BASED
LOW COST SALES CHANNEL
Verivox provides industry a c.40%
customer acquisition cost saving
No switch,
no commission Targeted Efficient Measurable
0
50
100
150
200
250
300
350
Electricity Gas DSL Mobile discount Mobile smartphone Car insurance Loans
OCP
Offline average
61%
saving
33%
saving
70%
saving
38%
saving
53%
saving
26%
saving
15%
saving
€

8. Online
comparison portals
manage big data
Comparison
business
model is
driven
by ever
increasing
input
variables
›1.000+ electricity and
850+ gas providers
›8.200 zip codes & 27.000
tariffs
›Tariff pricing include
consumption levels and
region
›Dynamic provider pricing
models
›Provider and tariff quality
evaluation
+of constantly moving parts
1 MILLION

9. THE TV MARKETING
EQUATION IS MORE COMPLEX
Using millions of data points to evidence
the financial effectiveness of TV advertising
SEASONAL
VARIABLES
Weather
Holidays
Seasonality
TIME
VARIABLES
Hour of day
Billing days
Weekday
Financial quarters
OTHER INFLUENCING
FACTORS
Market media spend
Consumer interest
Price changes
Media budget/placement
OPTIMAL
MEDIA SPEND
TV | Online | Print
VISITS &
CONTRACTS

10. VALIDATING
THE MODEL
TIME
VOLUME
ACTUAL MODELLED
ENERGY
FORECAST MODEL
REAL EFFECT›Model output based upon
input data of 24 months
›Quantifying short-, mid- and
long-term impact of TV
advertising
›Next: Forecasting transactions

11. THE
MODEL
WORKS
TV ADVERTISING
EFFECTIVENESS1
ENERGY FRANK 2012
MULTIPRODUCT FRANK 2013
KLAUS HUFNAGEL Q1-Q2‘14
GEISSENS Q4’14 (ONGOING)
1
1.5
2.0
5
Campaign period
Visit Uplift factor
(1) Media Plan Database, AGF in cooperation with GfK, TV Control, Google
Analytics (Measurement 10 mins before and 10 mins after broadcasting)
› New campaign “The Geissens” 5 x more effective
› TV is creating a positive ROI

12. BEFORE
BIG DATA
First TV ad in Germany
(Persil Historischer Werbespot)