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HOW ATTRIBUTION MODELLING CAN
CHANGE THE EVALUATION OF YOUR
CAMPAIGNS
Data driven road to success
Analytics conference by Red Orbit
Ljubljana, 21.10.2015
nora.toth@intren.hu
TARTALOM
1. INTREN
2. OUR MULTI CHANNEL WORLD
3. ATTRIBUTION MODELS
4. CAMPAIGN EVALUATION
A FEW WORDS ABOUT INTREN
1. INTREN
2. OUR MULTI CHANNEL WORLD
3. ATTRIBUTION MODELS
4. CAMPAIGN EVALUATION
A FEW WORDS ABOUT INTREN
EMPLOYEES
CURRENTLY
=29
DIGITAL MARKETING
AGENCY
since 2008
GOOGLE
ADVERTISING
BUDGET
3.000.000
USD / year
FACEBOOK
ADVERTISING
BUDGET
500.000
USD / year
PARTICIPANTS ON
OUR TRAININGS
>1000

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This document discusses using data and creativity in marketing. It touches on trusting data you know but being wary of unknown data. It also notes that resolving data problems can help solve business problems by providing relevance, sentiment, emotion and context. Additionally, the document states that big data is killing mass marketing and influencing factors like machine learning, triggers, algorithms, flow and attribution. It concludes by thanking the audience and providing contact information for the speaker.

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47% of Chinese internet users live streamed at least once in June, and 98% of consumers say attending an experiential marketing event would make them more inclined to purchase. Additionally, 78% of millennials prioritize experiences over material things. Facebook also sees 10 times more comments on live Facebook videos than regular ones. Overall, the document discusses the power of live experiences and events in marketing to consumers.

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Scott Schiller, EVP of Marketing, Advertising Sales & Client Partnerships at Content + Data Distribution, discusses how advertising has evolved to combine content, data, and distribution. He explains that high performance content and the ability to tell new stories through data will drive product success in the future.

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AREAS
PERFORMANCE MARKETING
SOCIAL MEDIA AND
CREATIVE STRATEGIES
CONVERSION OPTIMIZATION
AND ANALYTICS
SEARCH MARKETING AND
RTB SOLUTIONS
TRAININGS AND
CONSULTANCY
OUR MULTI CHANNEL WORLD
1. INTREN
2. OUR MULTI CHANNEL WORLD
3. ATTRIBUTION MODELS
4. CAMPAIGN EVALUATION
MCF MULTI CHANNEL WORLD
MULTI CHANNEL FUNNEL

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Toggl is a simple time tracking software that allows users to track their time from a browser, computer, or smartphone. It functions by having users start a timer when beginning a task by selecting the task and project, and stopping the timer when finishing. Toggl then provides reports and analytics on the tracked time, such as summary and weekly reports that visualize time spent by task, project, and date range. It is free to use basic tracking functions, with paid plans providing additional export and report features.

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>1 It has rather an assisting role, and takes part usually at the beginning of the conversion path.
<1 It rather generates direct conversions, helps to close the conversion path.
~1 Equally helps and closes the conversions.
ASSISTED CONVERSION VS. LAST CLICK OR
DIRECT CONVERSION
ATTRIBUTION MODELS
1. INTREN
2. OUR MULTI CHANNEL WORLD
3. ATTRIBUTION MODELS
4. CAMPAIGN EVALUATION
It is used by most analytical tools, except a Google Analytics.
LAST INTERACTION / LAST CLICK ATTRIBUTION
MODEL
Every standard report of Google Analytics gives 100% conversion credit to the last „campaign” source before the
conversion. A campaign could be anything, except Direct traffic. So a campaign could be Social, organic traffic, email,
Display, Affiliate or even a referral site.
LAST NON-DIRECT CLICK ATTRIBUTION MODEL

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The document discusses marketing strategies for a cereal brand aimed at millennial males. It suggests celebrating a balance between adulthood and self-expression. Some strategies proposed include featuring non-traditional meal scenarios to show how the cereal fits any time of day, using humor and individuality in marketing to humanize the brand, and partnering with influential people on social media to deliver the brand's message. The key takeaways are to be flexible in marketing, choose the right partners for campaigns, and put consumers first before the brand.

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The first channel or source (which generates interest) and the very last (which closes the conversion) are the most
important, those between these two gets a smaller amount of the credit.
POSITION BASED ATTRIBUTION MODEL
CAMPAIGN EVALUATION
1. INTREN
2. OUR MULTI CHANNEL WORLD
3. ATTRIBUTION MODELS
4. CAMPAIGN EVALUATION
MULTI CHANNEL FUNNEL
In case we only analyse the standard reports of Google Analytics,
and uses only those for creating campaign reports, we might
miss a very important part.
Thus it is worth checking the Multi Channel Funnel reports also,
and now it is highly suggested to compare results between
several attribution models.
Here we start talking about a „user journey” approach.
THE USER VISITS OUR WEBSITE VIA NUMEROUS
CHANNELS BEFORE THE CONVERSION

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ATTRIBUTION MODELS
Nora Toth
Head of Analytics
nora.toth@intren.hu
+36 30 502 0989
21/10/2015
THANK YOU FOR YOUR ATTENTION!

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Data driven road to success, Analytics conference, Nora Thoth

  • 1. HOW ATTRIBUTION MODELLING CAN CHANGE THE EVALUATION OF YOUR CAMPAIGNS Data driven road to success Analytics conference by Red Orbit Ljubljana, 21.10.2015 nora.toth@intren.hu
  • 2. TARTALOM 1. INTREN 2. OUR MULTI CHANNEL WORLD 3. ATTRIBUTION MODELS 4. CAMPAIGN EVALUATION
  • 3. A FEW WORDS ABOUT INTREN 1. INTREN 2. OUR MULTI CHANNEL WORLD 3. ATTRIBUTION MODELS 4. CAMPAIGN EVALUATION
  • 4. A FEW WORDS ABOUT INTREN EMPLOYEES CURRENTLY =29 DIGITAL MARKETING AGENCY since 2008 GOOGLE ADVERTISING BUDGET 3.000.000 USD / year FACEBOOK ADVERTISING BUDGET 500.000 USD / year PARTICIPANTS ON OUR TRAININGS >1000
  • 5. AREAS PERFORMANCE MARKETING SOCIAL MEDIA AND CREATIVE STRATEGIES CONVERSION OPTIMIZATION AND ANALYTICS SEARCH MARKETING AND RTB SOLUTIONS TRAININGS AND CONSULTANCY
  • 6. OUR MULTI CHANNEL WORLD 1. INTREN 2. OUR MULTI CHANNEL WORLD 3. ATTRIBUTION MODELS 4. CAMPAIGN EVALUATION
  • 9. >1 It has rather an assisting role, and takes part usually at the beginning of the conversion path. <1 It rather generates direct conversions, helps to close the conversion path. ~1 Equally helps and closes the conversions. ASSISTED CONVERSION VS. LAST CLICK OR DIRECT CONVERSION
  • 10. ATTRIBUTION MODELS 1. INTREN 2. OUR MULTI CHANNEL WORLD 3. ATTRIBUTION MODELS 4. CAMPAIGN EVALUATION
  • 11. It is used by most analytical tools, except a Google Analytics. LAST INTERACTION / LAST CLICK ATTRIBUTION MODEL
  • 12. Every standard report of Google Analytics gives 100% conversion credit to the last „campaign” source before the conversion. A campaign could be anything, except Direct traffic. So a campaign could be Social, organic traffic, email, Display, Affiliate or even a referral site. LAST NON-DIRECT CLICK ATTRIBUTION MODEL
  • 13. Which was the last AdWords campaign before the conversion? LAST ADWORDS CLICK ATTRIBUTION MODEL
  • 14. What has generated the original interest of the product / service? Eg. In case of launching a new brand, or a new campaign. FIRST INTERACTION / FIRST CLICK ATTRIBUTION MODEL
  • 15. Every element of the conversion path gets credit equally – it is the least useful one. LINEAR ATTRIBUTION MODEL
  • 16. The source or channel which is closer to the conversion gets more credit than the ones further. TIME DECAY ATTRIBUTION MODEL
  • 17. The first channel or source (which generates interest) and the very last (which closes the conversion) are the most important, those between these two gets a smaller amount of the credit. POSITION BASED ATTRIBUTION MODEL
  • 18. CAMPAIGN EVALUATION 1. INTREN 2. OUR MULTI CHANNEL WORLD 3. ATTRIBUTION MODELS 4. CAMPAIGN EVALUATION
  • 20. In case we only analyse the standard reports of Google Analytics, and uses only those for creating campaign reports, we might miss a very important part. Thus it is worth checking the Multi Channel Funnel reports also, and now it is highly suggested to compare results between several attribution models. Here we start talking about a „user journey” approach. THE USER VISITS OUR WEBSITE VIA NUMEROUS CHANNELS BEFORE THE CONVERSION
  • 22. Nora Toth Head of Analytics nora.toth@intren.hu +36 30 502 0989 21/10/2015 THANK YOU FOR YOUR ATTENTION!