#MBC2016 Dmitry Kapustin, Account Director @ Clickky: Robots or not: tips & tricks for discovering low quality traffic

Robots or not: tips & tricks for discovering low quality traffic

The World's Leading Platform for Publishersto Monetize Mobile Traffic in Emerging Markets

clickky.biz

Dmitriy Kapustin

Head of Account Department

[Photo of the speaker]

clickky.biz

Dmitriy Kapustin

● Revenue management analyst

● Financial security analyst

● Degree in Finances

Previous experience:

Сlickky is the leading platform for mobile traffic monetization in emerging markets.

The platform offers a wide variety of solutions, tailored to the needs of mobile publishers.

Clickky ensures easy integration and high eCPM rates. Its user-friendly interface enables publishers to reduce the number of actions required to launch ad campaigns.

clickky.biz

About Clickky

With the primary focus on mobile traffic monetization, we operate worldwide, delivering offers from more than 120 different countries and 30 000 campaigns daily.We create the strongest demand in the industry!

In 2016 Clickky made TOP-5 among advertising and marketing companies and TOP-3 among mobile

ad-tech companies in the Inc.5000 Europe ranking.

4Countries

80+Employees

5Offices

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clickky.biz

Agenda

1. Introduction2. Bots: pros and cons3. Fraud indicators and learning curve4.Case study5. Questions

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Bots: pros and cons

CONS:

● Possible client loss

PROS:

● Profit out of nothing● Bringing life to the idea of chatbots

(Telegram, Whatsapp, etc.)

For publishers

clickky.biz

clickky.biz

CONS:

● Low key indicator (ROI, LTV, ARPU, etc.)● Financial losses

PROS:

● Knowing your user better as the result of analytics improvement

● Boost campaigns● Going to IPO● Testing (e. g. gamer-bots)

Bots: pros and consFor advertisers

Having 20-30 active campaigns available and 10-20 publishers on each platform, you will have to be monitoring up to 500 placements.

clickky.biz

clickky.biz

clickky.biz

Indicators to analyze:

Fraud indicators and learning curve

1. Click IP = Advertiser’s IP2. Duplicate IPs3. IP range4. Abnormal session length5. Time breaks6. IP black list

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The final result we want to achieve is not just the definition of fraud conversions.

192.240.233.154 = 192.240.233.154

Click IP = Advertiser IP

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111

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Duplicate IPs

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IP range

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clickky.biz

IP range

IP range

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Final report

FRAUD

MIX

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clickky.biz

Case Study

Final report

clickky.biz

clickky.biz

Final report

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Questions?

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For publisher inquiries:Email: [email protected]

For cooperation inquiries:Email: [email protected]

For media inquiries:Email: [email protected]

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