USER IDENTIFICATION PROBLEMS ON DSP SIDE IN TERMS OF ADVERTISING RTB - - PowerPoint PPT Presentation

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USER IDENTIFICATION PROBLEMS ON DSP SIDE IN TERMS OF ADVERTISING RTB - - PowerPoint PPT Presentation

USER IDENTIFICATION PROBLEMS ON DSP SIDE IN TERMS OF ADVERTISING RTB AUCTIONS B. F. Trofimov, . V. Arsiriy, . . rsiriy AGENDA Introduction Informational technology of AD delivery for RTB User identification on DSP side


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SLIDE 1

USER IDENTIFICATION PROBLEMS ON DSP SIDE IN TERMS OF ADVERTISING RTB AUCTIONS

  • B. F. Trofimov, А. V. Arsiriy, Е. А. Аrsiriy
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SLIDE 2

AGENDA

  • Introduction
  • Informational technology of AD delivery for RTB
  • User identification on DSP side
  • Profiles fragmentation in DSP Database
  • Conclusions
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SLIDE 3

INTRODUCTION

  • Comparing to the previous year, the RTB market growth was

36%

  • according to PRNewswire, RTB market will hit $42 Billion by

2018

  • Primary complexity and problems of advertising domain
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SLIDE 4

User identification on DSP side

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SLIDE 5

Retargeting and Cookie Origins

Retargeting dsp_cookie RTB Auction ssp_cookie

  • retargeting, is a signal from third-party partner web pages, that a specific end-user has a specific

interest.

  • impression, is a signal that an end-user has seen Ad;
  • click, is a signal that an end-user has clicked on Ad;
  • conversion, is a signal that an end-user has performed some highly expected activity, for instance,

he bought promoted goods;

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SLIDE 6

INFORMATIONAL TECHNOLOGY OF AD DELIVERY IN TERMS OF RTB AUCTIONS

  • Strong isolation between advertisers and publishers
  • Well-defined interaction protocol between DSP and SSP
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SLIDE 7

USER IDENTIFICATION

Publisher receives request Content delivered to user Ad Server sends signal to Ad Exchange All bidders should send their decision (participate? & price) back Ad Server shows page that

  • redirects to the DSP

winner server

  • makes piggybacking

Publisher sends response back Site sends request to Ad Server toshow ad SSP (Ad Exchange) receives ad request and

  • pens RTB Auction

Every bidder/DSP receives info about user:

  • ssp_cookie_id
  • geo data
  • site url

SSP chooses the winning DSP and sends this info back to Ad Server User’s web page

  • shows ad banner

with ad

  • firing DSP’s 1x1

pixel (impression)

20 ms 100 150 170 200 210 280 300 350

~70% users have this cookie aboard thankfully to retargeting >>1 independent companies take part in this auction 80 ms

400 1sec

§

Piggybacking – async JS redirect to all DSP servers with ssp_cookie as a query param

§

Chance for DSP to link ssp_cookie_id with own dsp_cookie (retargeting again)

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SLIDE 8

PERFORMANCE

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SLIDE 9

Profiles fragmentation in DSP Database

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SLIDE 10

PROFILE FRAGMENTATION IN DSP DATABASE

PROBLEM: Often neighboring profiles are the same user GOAL: Build complete person profile based on bridging information from different sources:

§

Mobile

§

Desktop

§

TV

§

Social WiFi Location X

Time 10:00 am

WiFi Location Y

Time 8:00 pm

PROBLEM: Often neighboring profiles are the same user GOAL: Build complete person profile based on bridging information from different sources:

§

Mobile

§

Desktop

§

TV

§

Social WiFi Location X

Time 10:00 am

WiFi Location Y

Time 8:00 pm

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SLIDE 11

GRAPH-BASED DEFINITION

General task definition:

§ Build graph § Vertexes – user’s interests § Edges – bridging rules

[cookies, IP,…]

§ Task – Identify connected

components

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SLIDE 12

CONCLUSIONS

  • User identification at RTB auction
  • Multiple profiles problem and business impact
  • Development of models and methods of profile bridging based
  • n intelligent data analysis (Data Mining and Machine Learning)

allows to improve accuracy and pace of decision making by DSP.