1 T HAT IS ME ! My Road to Sucess with Marc Hergenröther Affiliate Marketing
2 H OW D ID I START ?H OW D ID I START ? C RITICAL KPI S - P REMIUM I NVENTORY - A DSERVING T ECHNOLOGY - M ULTIPLE A DVERTISERS
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4 M ARKET R EQUIREMENTS
5 M ARKET G ROWTH R ATE
6 HTTP :// WWW. BLOOMBERG. COM / NEWS / ARTICLES / / THE -20- FASTEST - GROWING - ECONOMIES - THIS - YEAR
7 I NTERNET U SAGE
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9 C REDIT C ARD A CCEPTANCE
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11 D EMOGRAFICS
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14 A CTIVITIES - D ISPLAY A DVERTISING (P OST V IEW ) - SEA - U SER R ETARGETING (6 M ONTHS L ATER )
15 R ESULTS ? - ROI P OSITIVE AT D AY 1 - F IRST PAYMENTS AFTER 3 M ONTHS - R EVENUE : E URO AFTER 3 MONTHS - B UT : D EPENDING ON SOME C ASH C OWS
16 H OW TO S CALE ? - M ORE ADVERTISERS - M ORE N ETWORKS - M ORE C OUNTRIES
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Old School until 2012
RealTime Advertising (RTA) Programmatic Media Buy without personal contacts Realtime Bidding Multiple Websites with high transparency Huge Reach and Frequency Control about Price and Targeting Usage of User Data from different sources Delivery on multiple Devices Globales Frequency Capping Advanced Reporting – Reach and Frequency, Customer Journey, … 20
21 H OW TO P ROCEED IN THE F UTURE ?
22 D ATA D RIVEN A DVERTISING
23 T HE F UTURE IS C USTOMER C ENTRIC !
Product Intend Clicker Spendings Personal Data Step in the Sales Funnel Search User Intend CRM and Offline Data 24
1st Party Data Online Behavior, Keywords, Conversions, … 2nd Party Data Data from niche websites, showing User Intend 3rd Party Data Purchased Data from Data vendors Offline Data CRM Data, Loyalty Card, … 25 DMP DSP How does it work?
26 R ETARGETING
Geo Prague Demografics Female, Age 25 Interest Shopping, lifestyle, Intend Jimmy Choo, 39, Device Tablet Prospecting
28 Targeting on new Audiences and potential customers, which were not in contact with the advertsier yet (Prospecting/New Audience Targeting) - based on collected Data -Data from Visitors of specified Content Website (Contextual) -Demografic Data, collected via Facebook campaigns (Facebook) - Search Data from SEA activities (Intend Data) -Bannerclicks - Exclusion of existing customers(negative Retargeting) - 3rd Party Data
29 Lookalike Modelling
30 Loookalike Modelling is looking for statistical twins of your current users or buyers, where many parameters are likely the same -Simular visited websites -Simular reactions on Banners (Bannerviews and Clicks) -Simular Website Behavior (Time Spent, Visited Categories and Products, Conversions) -Weather situation at the time of the conversion -Referring URL -Used Keywords -Geo….
31 M ANY T HANKS !