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Real	
  Time	
  Bidding	
  
DigidayWTF	
  –	
  Alanna	
  Gombert	
  
4/30/15	
  
Real	
  Time	
  Bidding	
  -­‐	
  Breakdown	
  
•  What	
  is	
  Real	
  Time	
  Bidding?	
  	
  
•  Is	
  it	
  really	
  Real	
  Time?	
  	
  
•  What	
  is	
  caching?	
  
•  What	
  elements	
  determine	
  ad	
  decisioning?	
  
•  Tree	
  +	
  Bayesian	
  
•  Bid,	
  Ask	
  Call	
  –	
  Second	
  Price	
  AucLon	
  	
  
	
  
Real	
  Time	
  bidding	
  (RTB)Defined	
  
eMarketer:
Real-time bidding (RTB) is a digital advertising technology that lets
marketers buy and publishers sell display ads dynamically, in real time,
on an impression-by-impression basis.
Scott Spencer, Director of Product Management, Ad Exchange,
Google
"Real time bidding (n);
1) A technology introduced in 2009 to make it easier for ad networks to
buy only the inventory they want.
2) A common buzzword that is part of everyone's business plan in 2013.
3) The act of buying digital inventory from multiple publishers on an
impression by impression basis, typically involving an auction pricing
mechanism.
4) One of the biggest opportunities for publishers to participate in new
media spend, but not a panacea if done in isolation.
Is	
  it	
  really	
  Real	
  Time?	
  	
  
Real	
  Time:	
  of	
  or	
  relaLng	
  to	
  a	
  system	
  in	
  which	
  input	
  data	
  is	
  
processed	
  within	
  milliseconds	
  so	
  that	
  it	
  is	
  available	
  virtually	
  
immediately	
  as	
  feedback,	
  e.g.,	
  in	
  a	
  missile	
  guidance	
  or	
  airline	
  
booking	
  system.	
  Source:	
  Google	
  
	
  
Real	
  Time	
  AdverLsing	
  Systems	
  rely	
  on	
  historical	
  data	
  that	
  is	
  
cached	
  as	
  well	
  as	
  secondary	
  or	
  primary	
  test	
  variables.	
  	
  
	
  
Cache	
  update	
  cycles	
  maUer.	
  The	
  newest	
  data	
  will	
  help	
  you	
  
make	
  the	
  best	
  decision.	
  	
  
What	
  is	
  a	
  Cache	
  and	
  Decision	
  Flow	
  
Cache	
  (compuLng)	
  -­‐	
  Wikipedia,	
  the	
  free	
  encyclopedia	
  
en.wikipedia.org/wiki/Cache_(compuLng)	
  
Wikipedia	
  
In	
  compuLng,	
  a	
  cache	
  (/ˈkæʃ/	
  KASH)	
  is	
  a	
  component	
  that	
  stores	
  data	
  so	
  
future	
  requests	
  for	
  that	
  data	
  can	
  be	
  served	
  faster;	
  the	
  data	
  stored	
  in	
  a	
  
cache	
  might	
  be	
  the	
  results	
  of	
  an	
  earlier	
  computaLon,	
  or	
  the	
  duplicates	
  of	
  
data	
  stored	
  elsewhere.	
  
	
  
Decision	
  Flow:	
  	
  
	
  
Impression	
  -­‐>	
  Bid	
  Engine	
  EvaluaLon	
  -­‐>	
  Decision	
  (Bid	
  or	
  no	
  bid,	
  price	
  to	
  bid	
  
based	
  on	
  historical	
  data	
  or	
  price	
  floor	
  +	
  potenLally	
  ad	
  quality)	
  
	
  
What	
  Elements	
  Determine	
  	
  
Ad	
  Decisioning?	
  
•  TargeLng	
  
•  Publisher	
  
•  Audience	
  Segment	
  	
  
•  CreaLve	
  
•  AdverLser	
  	
  
•  Floors	
  
•  ProbabiliLes	
  and	
  Likelihoods	
  (click,	
  conversion	
  otherwise)	
  
•  Learning	
  	
  
•  And	
  more!	
  
Tree	
  and	
  Bayesian	
  Network	
  
Tree:	
  A	
  tree	
  structure	
  or	
  tree	
  diagram	
  is	
  a	
  way	
  of	
  represenLng	
  the	
  hierarchical	
  nature	
  of	
  a	
  
structure	
  in	
  a	
  graphical	
  form.	
  It	
  is	
  named	
  a	
  "tree	
  structure"	
  because	
  the	
  classic	
  
representaLon	
  resembles	
  a	
  tree,	
  even	
  though	
  the	
  chart	
  is	
  generally	
  upside	
  down	
  compared	
  
to	
  an	
  actual	
  tree,	
  with	
  the	
  "root"	
  at	
  the	
  top	
  and	
  the	
  "leaves"	
  at	
  the	
  boUom.	
  Source:	
  
Wikipedia	
  
	
  
Bayesian	
  Network:	
  is	
  a	
  probabilisLc	
  graphical	
  model	
  (a	
  type	
  of	
  staLsLcal	
  model)	
  that	
  
represents	
  a	
  set	
  of	
  random	
  variables	
  and	
  their	
  condiLonal	
  dependencies.	
  Source:	
  Wikipedia	
  
	
  
	
  
	
  
	
  
A	
  simple	
  Bayesian	
  network.	
  Rain	
  influences	
  whether	
  the	
  sprinkler	
  is	
  acLvated,	
  and	
  both	
  
rain	
  and	
  the	
  sprinkler	
  influence	
  whether	
  the	
  grass	
  is	
  wet.	
  
Example	
  of	
  a	
  Tree	
  –	
  Source:	
  Wikipedia	
  
A	
  tree	
  structure	
  showing	
  the	
  possible	
  hierarchical	
  organizaLon	
  of	
  an	
  encyclopedia.	
  
AucLon	
  Mechanics	
  
•  Vickrey	
  AucLon:	
  A	
  Vickrey	
  aucLon	
  is	
  a	
  type	
  of	
  sealed-­‐bid	
  aucLon.	
  
Bidders	
  submit	
  wriUen	
  bids	
  without	
  knowing	
  the	
  bid	
  of	
  the	
  other	
  
people	
  in	
  the	
  aucLon.	
  The	
  highest	
  bidder	
  wins	
  but	
  the	
  price	
  paid	
  
is	
  the	
  second-­‐highest	
  bid.	
  Source:	
  Wikipedia	
  
•  Modern	
  adverLsing	
  aucLons:	
  adverLsers	
  are	
  charged	
  only	
  a	
  
penny	
  more	
  than	
  the	
  next	
  lowest	
  bid,	
  with	
  some	
  adjustments	
  
that	
  depend	
  on	
  the	
  quality	
  of	
  the	
  ad.	
  Source:	
  
hUp://www.gsb.stanford.edu/insights/high-­‐price-­‐internet-­‐
keyword-­‐aucLons	
  
Four	
  Key	
  RTB	
  Publisher	
  Takeaways	
  
•  Real	
  Time	
  Bidding	
  is	
  a	
  result	
  of	
  mathemaLcal	
  equaLons	
  derived	
  from	
  defined	
  
compuLng	
  and	
  math	
  principals.	
  	
  It	
  is	
  not	
  magic.	
  	
  
	
  
•  Inventory	
  changes	
  and	
  shils	
  can	
  change	
  learning	
  and	
  valuaLon.	
  You	
  are	
  
changing	
  the	
  inputs.	
  	
  
	
  
•  Understand	
  how	
  your	
  exchange	
  determines	
  the	
  winning	
  adverLser	
  bid.	
  It	
  may	
  
affect	
  your	
  pricing	
  strategy.	
  Price	
  Floors:	
  Price	
  floors	
  may	
  block	
  algorithms	
  from	
  
bidding	
  “true	
  value”,	
  especially	
  when	
  dynamic	
  CPM	
  is	
  employed.	
  	
  
	
  
•  ProgrammaLc	
  is	
  just	
  the	
  method	
  by	
  which	
  RTB	
  algorithms	
  are	
  deployed	
  across	
  
the	
  exchanges	
  and	
  inventory	
  pools,	
  usually	
  by	
  Demand	
  Side	
  Plaporms.	
  	
  
	
  

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WTF is RTB? (Digiday WTF Programmatic for Publishers - 4/30/15)

  • 1. Real  Time  Bidding   DigidayWTF  –  Alanna  Gombert   4/30/15  
  • 2. Real  Time  Bidding  -­‐  Breakdown   •  What  is  Real  Time  Bidding?     •  Is  it  really  Real  Time?     •  What  is  caching?   •  What  elements  determine  ad  decisioning?   •  Tree  +  Bayesian   •  Bid,  Ask  Call  –  Second  Price  AucLon      
  • 3. Real  Time  bidding  (RTB)Defined   eMarketer: Real-time bidding (RTB) is a digital advertising technology that lets marketers buy and publishers sell display ads dynamically, in real time, on an impression-by-impression basis. Scott Spencer, Director of Product Management, Ad Exchange, Google "Real time bidding (n); 1) A technology introduced in 2009 to make it easier for ad networks to buy only the inventory they want. 2) A common buzzword that is part of everyone's business plan in 2013. 3) The act of buying digital inventory from multiple publishers on an impression by impression basis, typically involving an auction pricing mechanism. 4) One of the biggest opportunities for publishers to participate in new media spend, but not a panacea if done in isolation.
  • 4. Is  it  really  Real  Time?     Real  Time:  of  or  relaLng  to  a  system  in  which  input  data  is   processed  within  milliseconds  so  that  it  is  available  virtually   immediately  as  feedback,  e.g.,  in  a  missile  guidance  or  airline   booking  system.  Source:  Google     Real  Time  AdverLsing  Systems  rely  on  historical  data  that  is   cached  as  well  as  secondary  or  primary  test  variables.       Cache  update  cycles  maUer.  The  newest  data  will  help  you   make  the  best  decision.    
  • 5. What  is  a  Cache  and  Decision  Flow   Cache  (compuLng)  -­‐  Wikipedia,  the  free  encyclopedia   en.wikipedia.org/wiki/Cache_(compuLng)   Wikipedia   In  compuLng,  a  cache  (/ˈkæʃ/  KASH)  is  a  component  that  stores  data  so   future  requests  for  that  data  can  be  served  faster;  the  data  stored  in  a   cache  might  be  the  results  of  an  earlier  computaLon,  or  the  duplicates  of   data  stored  elsewhere.     Decision  Flow:       Impression  -­‐>  Bid  Engine  EvaluaLon  -­‐>  Decision  (Bid  or  no  bid,  price  to  bid   based  on  historical  data  or  price  floor  +  potenLally  ad  quality)    
  • 6. What  Elements  Determine     Ad  Decisioning?   •  TargeLng   •  Publisher   •  Audience  Segment     •  CreaLve   •  AdverLser     •  Floors   •  ProbabiliLes  and  Likelihoods  (click,  conversion  otherwise)   •  Learning     •  And  more!  
  • 7. Tree  and  Bayesian  Network   Tree:  A  tree  structure  or  tree  diagram  is  a  way  of  represenLng  the  hierarchical  nature  of  a   structure  in  a  graphical  form.  It  is  named  a  "tree  structure"  because  the  classic   representaLon  resembles  a  tree,  even  though  the  chart  is  generally  upside  down  compared   to  an  actual  tree,  with  the  "root"  at  the  top  and  the  "leaves"  at  the  boUom.  Source:   Wikipedia     Bayesian  Network:  is  a  probabilisLc  graphical  model  (a  type  of  staLsLcal  model)  that   represents  a  set  of  random  variables  and  their  condiLonal  dependencies.  Source:  Wikipedia           A  simple  Bayesian  network.  Rain  influences  whether  the  sprinkler  is  acLvated,  and  both   rain  and  the  sprinkler  influence  whether  the  grass  is  wet.  
  • 8. Example  of  a  Tree  –  Source:  Wikipedia   A  tree  structure  showing  the  possible  hierarchical  organizaLon  of  an  encyclopedia.  
  • 9. AucLon  Mechanics   •  Vickrey  AucLon:  A  Vickrey  aucLon  is  a  type  of  sealed-­‐bid  aucLon.   Bidders  submit  wriUen  bids  without  knowing  the  bid  of  the  other   people  in  the  aucLon.  The  highest  bidder  wins  but  the  price  paid   is  the  second-­‐highest  bid.  Source:  Wikipedia   •  Modern  adverLsing  aucLons:  adverLsers  are  charged  only  a   penny  more  than  the  next  lowest  bid,  with  some  adjustments   that  depend  on  the  quality  of  the  ad.  Source:   hUp://www.gsb.stanford.edu/insights/high-­‐price-­‐internet-­‐ keyword-­‐aucLons  
  • 10. Four  Key  RTB  Publisher  Takeaways   •  Real  Time  Bidding  is  a  result  of  mathemaLcal  equaLons  derived  from  defined   compuLng  and  math  principals.    It  is  not  magic.       •  Inventory  changes  and  shils  can  change  learning  and  valuaLon.  You  are   changing  the  inputs.       •  Understand  how  your  exchange  determines  the  winning  adverLser  bid.  It  may   affect  your  pricing  strategy.  Price  Floors:  Price  floors  may  block  algorithms  from   bidding  “true  value”,  especially  when  dynamic  CPM  is  employed.       •  ProgrammaLc  is  just  the  method  by  which  RTB  algorithms  are  deployed  across   the  exchanges  and  inventory  pools,  usually  by  Demand  Side  Plaporms.