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De evolutie van Display Advertising
Parallelsessie - Kelly Siemons
20–05-2015
De evolutie van Display Advertising
Parallelsessie - Kelly Siemons
20–05-2015
De evolutie van Display Advertising
Parallelsessie - Kelly Siemons
20–05-2015
De evolutie van Display Advertising
Parallelsessie - Kelly Siemons
20–05-2015
Even voorstellen
‣ Kelly Siemons
‣ MSc in Marketing @ VU
‣ + 1,5 jaar werkzaam bij OrangeValley
‣ SEA & Display Consultant
De ontwikkeling van Display
Van Direct Deals naar Automated Trading
Direct Deals
Advertentie Netwerken
Advertentie Netwerken
Ad Exchanges
Het huidige Display Landschap
Automated Trading
Ad exchange
Advertentienetwerk
Agency trading desk
Algoritme AuctionAuction priority
Audience
Audience extension
Audience network
Audience profile targeting
Audience profiling
Audience targeting
Automated trading
Block list
Category
Channel conflict
Contextual targeting
Cookie Attribution Rate (CAR)
Cookie Dropping Rate (CDR)
CPX/CPA
Data – behavioural interest
Data – behavioural intent
Data – client data
Data – demographic
Data – ecommerce
Data exchange
Data – geographic Data leakage
Data – registration
Data – server
Data supplier
Data – technographic
Datamanagementplatform
Demand partner
Demand Side Platform (DSP)
eCPM
Fill rateFirst bid
First party data
Floor Price
Frequency
Frequency cap
Inventory
Liquidity
Kannibalisatie Monetisation & yield strategy
Placement/position
Premium sales
Reach
Real Time Bidding (RTB)
Remnant Inventory
Retargeting
Revenue share
Sales house
Second highest bid
Sell-Side Platform (SSP)
Targeting
Third party data
Trading desk
Unique user
Upfront bidding (Tag based buying)
Vertical network
White list
Yield
Yield management
Complex
Het Display Landschap
Concreet - Wat moet je begrijpen?
Audience Targeting
Voordelen Automated Trading
‣ Transparantie
‣ Relevanter impressies inkopen
‣ Minder ‘waste’
‣ Één gebruiker interface
‣ Één analytische oplossing (data)
Voorbeeld
Voorbeeld
Touch Tell Sell
Voorbeeld
Touch Tell Sell
Keep in mind…
Enkele learnings
Keep in mind…
‣ Bepaal van te voren je doel, de doelstellingen en de KPI’s
‣ Kies de juiste tooling
‣ Kwaliteit belangrijker dan kwantiteit
‣ Streef naar transparantie
‣ Analyseer & leer - data!
‣ Optimalisatie
Vragen?

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Parallelsessie Kelly - De evolutie van Display Advertising

  • 1. De evolutie van Display Advertising Parallelsessie - Kelly Siemons 20–05-2015 De evolutie van Display Advertising Parallelsessie - Kelly Siemons 20–05-2015 De evolutie van Display Advertising Parallelsessie - Kelly Siemons 20–05-2015 De evolutie van Display Advertising Parallelsessie - Kelly Siemons 20–05-2015
  • 2. Even voorstellen ‣ Kelly Siemons ‣ MSc in Marketing @ VU ‣ + 1,5 jaar werkzaam bij OrangeValley ‣ SEA & Display Consultant
  • 3. De ontwikkeling van Display Van Direct Deals naar Automated Trading
  • 8. Het huidige Display Landschap Automated Trading
  • 9. Ad exchange Advertentienetwerk Agency trading desk Algoritme AuctionAuction priority Audience Audience extension Audience network Audience profile targeting Audience profiling Audience targeting Automated trading Block list Category Channel conflict Contextual targeting Cookie Attribution Rate (CAR) Cookie Dropping Rate (CDR) CPX/CPA Data – behavioural interest Data – behavioural intent Data – client data Data – demographic Data – ecommerce Data exchange Data – geographic Data leakage Data – registration Data – server Data supplier Data – technographic Datamanagementplatform Demand partner Demand Side Platform (DSP) eCPM Fill rateFirst bid First party data Floor Price Frequency Frequency cap Inventory Liquidity Kannibalisatie Monetisation & yield strategy Placement/position Premium sales Reach Real Time Bidding (RTB) Remnant Inventory Retargeting Revenue share Sales house Second highest bid Sell-Side Platform (SSP) Targeting Third party data Trading desk Unique user Upfront bidding (Tag based buying) Vertical network White list Yield Yield management Complex
  • 11. Concreet - Wat moet je begrijpen?
  • 13. Voordelen Automated Trading ‣ Transparantie ‣ Relevanter impressies inkopen ‣ Minder ‘waste’ ‣ Één gebruiker interface ‣ Één analytische oplossing (data)
  • 18. Keep in mind… ‣ Bepaal van te voren je doel, de doelstellingen en de KPI’s ‣ Kies de juiste tooling ‣ Kwaliteit belangrijker dan kwantiteit ‣ Streef naar transparantie ‣ Analyseer & leer - data! ‣ Optimalisatie