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v	
  
Programma'c	
  Everything:	
  
Beyond	
  the	
  Open	
  Auc'on	
  Jenn	
  Vlahavas	
  
June	
  9,2015	
  
Programma'c	
  Everything	
  
Case	
  Study	
  –	
  Programma'c	
  Guaranteed	
  
Na'onal	
  Mul'-­‐Category	
  Retailer	
  
Background	
  
§  Retailer	
  invests	
  heavily	
  in	
  programma;c	
  but	
  s;ll	
  spends	
  a	
  significant	
  
amount	
  on	
  direct	
  guaranteed	
  buys	
  
§  Retailer	
  touts	
  a	
  large	
  customer	
  data	
  set	
  from	
  both	
  online	
  and	
  in-­‐store	
  
buyers	
  and	
  browsers	
  
	
  
Challenges	
  
§  Maintain	
  current	
  partnerships	
  with	
  premium	
  publishers	
  
§  Reach	
  a	
  larger	
  percentage	
  of	
  their	
  exis;ng	
  customer	
  base	
  
§  Drive	
  lower	
  Return	
  on	
  Ad	
  Spend	
  
Case	
  Study	
  –	
  Programma'c	
  Guaranteed	
  
Na'onal	
  Mul'-­‐Category	
  Retailer	
  
What	
  We	
  Did	
  
§  Direct,	
  guaranteed	
  deals	
  with	
  exis;ng	
  premium	
  publisher	
  
partners	
  and	
  rising	
  star	
  units	
  
— Fixed	
  CPM	
  
— Fixed	
  Budgets	
  
— Fluid	
  Timing	
  
§  Added	
  decisioning	
  rules	
  to	
  the	
  buy	
  to	
  priori;ze	
  Retailer	
  
customer	
  data	
  across	
  a	
  supply	
  pool	
  
	
  
Case	
  Study	
  –	
  Programma'c	
  Guaranteed	
  
Na'onal	
  Mul'-­‐Category	
  Retailer	
  
RESULTS	
  
Programma;c	
  Guaranteed	
  Direct	
  delivers	
  the	
  following	
  results	
  against	
  a	
  
tradi;onal	
  direct	
  buy:	
  
§  Hits	
  14x	
  more	
  client	
  shoppers	
  audience	
  
§  Was	
  7x	
  more	
  efficient	
  in	
  serving	
  impressions	
  to	
  client’s	
  shoppers	
  
segment	
  	
  	
  
§  Was	
  6x	
  more	
  cost	
  efficient	
  
§  ROI	
  was	
  5x	
  higher	
  against	
  client’s	
  audience	
  
ELIMINATE	
  WASTE,	
  DRIVE	
  STRONGER	
  RESULTS	
  
MediaMath	
  provides	
  one	
  connected	
  
source	
  providing	
  access	
  to	
  addressable	
  
media	
  in	
  all	
  channels	
  to	
  deliver	
  more	
  
personalized	
  messages	
  
@JENNVLAHAVAS	
  @MEDIAMATH	
  
THANK	
  YOU	
  
Jenn	
  Vlahavas	
  
	
  
@MediaMath	
  
	
  
©2014	
  MEDIAMATH	
  INC	
  

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Programmatic Everything: Beyond the Open Auction - DRS Chicago, June 2015

  • 1. v   Programma'c  Everything:   Beyond  the  Open  Auc'on  Jenn  Vlahavas   June  9,2015  
  • 3. Case  Study  –  Programma'c  Guaranteed   Na'onal  Mul'-­‐Category  Retailer   Background   §  Retailer  invests  heavily  in  programma;c  but  s;ll  spends  a  significant   amount  on  direct  guaranteed  buys   §  Retailer  touts  a  large  customer  data  set  from  both  online  and  in-­‐store   buyers  and  browsers     Challenges   §  Maintain  current  partnerships  with  premium  publishers   §  Reach  a  larger  percentage  of  their  exis;ng  customer  base   §  Drive  lower  Return  on  Ad  Spend  
  • 4. Case  Study  –  Programma'c  Guaranteed   Na'onal  Mul'-­‐Category  Retailer   What  We  Did   §  Direct,  guaranteed  deals  with  exis;ng  premium  publisher   partners  and  rising  star  units   — Fixed  CPM   — Fixed  Budgets   — Fluid  Timing   §  Added  decisioning  rules  to  the  buy  to  priori;ze  Retailer   customer  data  across  a  supply  pool    
  • 5. Case  Study  –  Programma'c  Guaranteed   Na'onal  Mul'-­‐Category  Retailer   RESULTS   Programma;c  Guaranteed  Direct  delivers  the  following  results  against  a   tradi;onal  direct  buy:   §  Hits  14x  more  client  shoppers  audience   §  Was  7x  more  efficient  in  serving  impressions  to  client’s  shoppers   segment       §  Was  6x  more  cost  efficient   §  ROI  was  5x  higher  against  client’s  audience   ELIMINATE  WASTE,  DRIVE  STRONGER  RESULTS  
  • 6. MediaMath  provides  one  connected   source  providing  access  to  addressable   media  in  all  channels  to  deliver  more   personalized  messages   @JENNVLAHAVAS  @MEDIAMATH  
  • 7. THANK  YOU   Jenn  Vlahavas     @MediaMath     ©2014  MEDIAMATH  INC