Programmating Buying — Myth or reality?

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Programmatic Buying — Myth or Reality?

description

HubRus

Transcript of Programmating Buying — Myth or reality?

Page 1: Programmating Buying — Myth or reality?

Programmatic Buying — Myth or Reality?

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Real time and Data Driven Technology moves toward customization of the end Advertiser’s needs and requirements

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19 mln

Bids

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19 mln

Information sample:

Price, ssp, url, referer Proximic: brandprotection:,

Safety level, Category: weight,

Adsize, Abovethefold: "medium or

high or low", Noticeability: "high or

medium or low“ Scope: "page", Language etc.

Bids

$1, Adfox, brandprotection: rating

G, Adsize 160x600, Language: en

$2, Google, Safety level: gold , Adsize

728X90, Language: Ru, Noticeability: "high“

$0.5, Яndex, Category: weight 100/Sports ,

Adsize 160x600, Language: Ru,

Noticeability: “medium“, Abovethefold: "medium"

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19 mln

0.2

0.8

0.95 0.01

0.7

Predict

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HUBRUS RTB Conversion Pixel / View Pixel

Company’s impressions results

Positive signals Negative signals

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How wrong am I like to be?

What is the impact of being that wrong?

What drives the wrongness?

Only guarantee with a central forecast is it will be wrong

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ADAPTIVE MODELLING APPROACH

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UNDERSTAND ALL ASPECTS THAT DRIVE THE SALE

•Channel •Site •Day •Time •…

•Size •Color •Position •…

•Price •Copmpetitors •Weather •Economy •…

•Age •Sex •Profile •Purchase process stage •…

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Applied to RTB and Programmatic

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Funnel: mechanics and tactics

Awareness

Consideration and

Engagement

Acquisition

Media Tactics • Home page takeovers • Pre-Roll video • Online Radio • High SOV site buys

• Rich media banners • Mobile display • Contextual and search

targeting

• Site/email Retargeting • Existing customer

retargeting • Intent/behavioral

marketing

Data Inputs • Demographic, HHI,

household income/credit score

• Lifestyle and interest segments

• Social connections • Offline Purchase behavior • Brand affinities • Lookalike modeling

• Online purchase intent • Search behavior • Lookalike modeling

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