This document summarizes the results of an A/B test comparing the bidding performance of Dolead's machine learning bidder to Google's bidder on 50 paid search campaigns over 4 weeks. The Dolead bidder was able to stay below the target cost-per-acquisition (CPA) 63% of the time compared to 33% for Google. While Google had more conversions in 67% of campaigns, the Dolead bidder achieved conversions at a lower CPA in 83% of campaigns. As a result, Dolead's margin was 35% higher than Google's margin overall.
I’m a French designer with a wide international background experience in Canada. For the past 10 years I have been designing and developing products within the outdoor sports industry. I spent 4 years designing and living in Canada and gained incredible amount of experience. I have a very strong background in designing a wide range of product categories. With a balance of creative and product development skills and experience working with large sku counts. Very organized and detail oriented with a proactive approach to problem solving. I’m an energetic, passionate and outgoing team player. I strive to learn and grow from others in having an open mind and constantly seeking to improve my skills. In my free time I enjoy surfing, skateboarding, snowboarding, mountain biking, camping and traveling.
https://www.vincentelmerich.com
[En] 5 key success factors for content marketing in 2017 and beyondYann Gourvennec
Content marketing has been on everyone's agenda since 2014 (and ours since 1996!). Yet, the question is shifting from "how to produce content" to "how to differentiate with content". Here are 5 key success factors in content marketing derived from a keynote presentation delivered for eZ Systems in late 2016
AI Tools for Business and Startups
Svetlin Nakov @ Innowave Summit 2023
Artificial Intelligence is already here!
AI Tools for Business: Where is AI Used?
ChatGPT and Bard in Daily Tasks
ChatGPT and Bard for Creativity
ChatGPT and Bard for Marketing
ChatGPT for Data Analysis
DALL-E for Image Generation
Learn more at: https://nakov.com/blog/2023/11/25/ai-for-business-and-startups-my-talk-at-innowave-summit-2023/
Traditional Big Data is done on Data you have. You load the data into a repository and perform map reduce or other style calculations on the data. However, certain industries need to perform complex operations on data you might not have. Data you can acquire, Data that can be shared with you, and Data that you can model are all types of data you may not have but may need to integrate instantly into a complex data analysis. Problem is: you may not even know you need this data until deep into the execution stack at runtime. This talk discusses a new functional language paradigm for dealing naturally with data you don’t have and about how to make all data first-class citizens, regardless of whether you have it or you don’t, and we will give a demo of a project written in Scala to deal exactly with this issue.
I’m a French designer with a wide international background experience in Canada. For the past 10 years I have been designing and developing products within the outdoor sports industry. I spent 4 years designing and living in Canada and gained incredible amount of experience. I have a very strong background in designing a wide range of product categories. With a balance of creative and product development skills and experience working with large sku counts. Very organized and detail oriented with a proactive approach to problem solving. I’m an energetic, passionate and outgoing team player. I strive to learn and grow from others in having an open mind and constantly seeking to improve my skills. In my free time I enjoy surfing, skateboarding, snowboarding, mountain biking, camping and traveling.
https://www.vincentelmerich.com
[En] 5 key success factors for content marketing in 2017 and beyondYann Gourvennec
Content marketing has been on everyone's agenda since 2014 (and ours since 1996!). Yet, the question is shifting from "how to produce content" to "how to differentiate with content". Here are 5 key success factors in content marketing derived from a keynote presentation delivered for eZ Systems in late 2016
AI Tools for Business and Startups
Svetlin Nakov @ Innowave Summit 2023
Artificial Intelligence is already here!
AI Tools for Business: Where is AI Used?
ChatGPT and Bard in Daily Tasks
ChatGPT and Bard for Creativity
ChatGPT and Bard for Marketing
ChatGPT for Data Analysis
DALL-E for Image Generation
Learn more at: https://nakov.com/blog/2023/11/25/ai-for-business-and-startups-my-talk-at-innowave-summit-2023/
Traditional Big Data is done on Data you have. You load the data into a repository and perform map reduce or other style calculations on the data. However, certain industries need to perform complex operations on data you might not have. Data you can acquire, Data that can be shared with you, and Data that you can model are all types of data you may not have but may need to integrate instantly into a complex data analysis. Problem is: you may not even know you need this data until deep into the execution stack at runtime. This talk discusses a new functional language paradigm for dealing naturally with data you don’t have and about how to make all data first-class citizens, regardless of whether you have it or you don’t, and we will give a demo of a project written in Scala to deal exactly with this issue.
SearchLove Boston 2015 | Bridget Randolph, ‘Shocking: Get Traffic Fast With T...Distilled
Have you got a mobile strategy for Android smart watches? Have you already upgraded your site to the iOS hybrid meta-refresh UA-grid for crawler-friendly Flash pixels? In our industry, it can feel like you have to keep moving faster and faster just to keep up with everyone else. This session will show you how ‘shiny new thing syndrome’ can distract from the big wins you can achieve by focusing on essential principles, and how to stop chasing the pack.
Presentation from White Nights Berlin, Feb 2018.
Key points:
- Why do market research for games?
- What data are available for market research?
- How can one combine these data sources to understand markets?
- How can you take market research further and plan for success?
Pittsburgh Trailblazer Community Global GatheringBecky Willis
Check out what the Pittsburgh Trailblazer Community Groups covered at our October Global Gathering. We wrapped up Dreamforce highlights, gave some spoilers about Winter '19, and had a great time networking.
Techstars Seattle — Startup Revenue Models and ForecastingDave Parker
Business model breakdown
Identify Key Inputs
Identify Unit Economics
Choose primary/secondary revenue models
Go-to-Market – Marketing and Sales choices
Choose financial template
Common mistakes
La révolution Big Data, par Hadrien Baradel @ "Play with Data" event by Dolea...Dolead
Conférence d'Hadrien Baradel, notre Product Manager, dans les locaux de Google le 12.07.16, à l'occasion de l'événement "Play With Data"
Retrouvez la conférence en vidéo sur YouTube : https://youtu.be/MyoiQGF63-s
StoriesOnBoard - a story of a SaaS product from the idea till market launchÁrpád Tamás
Why and how we started developing StoriesOnBoard, our SaaS service, an online user story mapping tool. How did we choose and targeted the initial audience, how did we promoted.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
SearchLove Boston 2015 | Bridget Randolph, ‘Shocking: Get Traffic Fast With T...Distilled
Have you got a mobile strategy for Android smart watches? Have you already upgraded your site to the iOS hybrid meta-refresh UA-grid for crawler-friendly Flash pixels? In our industry, it can feel like you have to keep moving faster and faster just to keep up with everyone else. This session will show you how ‘shiny new thing syndrome’ can distract from the big wins you can achieve by focusing on essential principles, and how to stop chasing the pack.
Presentation from White Nights Berlin, Feb 2018.
Key points:
- Why do market research for games?
- What data are available for market research?
- How can one combine these data sources to understand markets?
- How can you take market research further and plan for success?
Pittsburgh Trailblazer Community Global GatheringBecky Willis
Check out what the Pittsburgh Trailblazer Community Groups covered at our October Global Gathering. We wrapped up Dreamforce highlights, gave some spoilers about Winter '19, and had a great time networking.
Techstars Seattle — Startup Revenue Models and ForecastingDave Parker
Business model breakdown
Identify Key Inputs
Identify Unit Economics
Choose primary/secondary revenue models
Go-to-Market – Marketing and Sales choices
Choose financial template
Common mistakes
La révolution Big Data, par Hadrien Baradel @ "Play with Data" event by Dolea...Dolead
Conférence d'Hadrien Baradel, notre Product Manager, dans les locaux de Google le 12.07.16, à l'occasion de l'événement "Play With Data"
Retrouvez la conférence en vidéo sur YouTube : https://youtu.be/MyoiQGF63-s
StoriesOnBoard - a story of a SaaS product from the idea till market launchÁrpád Tamás
Why and how we started developing StoriesOnBoard, our SaaS service, an online user story mapping tool. How did we choose and targeted the initial audience, how did we promoted.
Similar to Beat Google (Ads)'s bidder using ML (19)
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
7. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
7
Paid search basics
Typed: “BTS a distance”
Will he click ?
Will he subscribe ?
New user
Impression
Click
Subscription
8. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
8
Paid search basics
Typed: “BTS a distance”
Will he click ?
Will he subscribe ?
New user
Impression
Click
Subscription
100$ question :
how much should I pay the ad ?
9. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
9
Paid search basics
Typed: “BTS a distance”
Will he click ?
Will he subscribe ?
New user
Impression
Click
Subscription
100$ question :
how much should I pay the ad ?
Google’s problem
10. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
10
Paid search basics
Typed: “BTS a distance”
Will he click ?
Will he subscribe ?
New user
Impression
Click
Subscription
10$ question :
how much should I pay the click ?
Google’s problem
11. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
11
Paid search basics
How much should I pay the click ?
1. Find revenue by click
12. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
12
Paid search basics
How much should I pay the click ?
1. Find revenue by click
1. Pay less than that
13. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
13
Paid search basics
How much should I pay the click ?
1. Find revenue by click
(using Machine learning:
search query → revenue by click)
1. Pay less than that
14. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
14
Paid search basics
Typed: “BTS a distance”
Will he click ?
Will he subscribe ?
New user
Impression
Click
Subscription
10$ question :
how much should I pay the click ?
Google’s problem
Google’s bidder
15. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
15
Paid search basics
Typed: “BTS a distance”
Will he click ?
Will he subscribe ?
New user
Impression
Click
Subscription
1$ for 2 questions :
Do I accept giving Google all power ?
Can we do better ?
Google’s problem
Google’s bidder
16. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
16
Paid search basics
Typed: “BTS a distance”
Will he click ?
Will he convert ?
New user
CPA: Cost Per Acquisition
(Cost of a conversion)
Impression
Click
Conversion
1$ for 2 questions :
Do I accept giving Google all power ?
Can we do better ?
Google’s problem
Google’s bidder
23. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
23
Paid search basics
Typed: “BTS a distance”
Will he click ?
Will he convert ?
New user
Impression
Click
Conversion
10$ question :
how much should I pay the click ?
Google’s problem
25. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
25
Paid search basics
Typed: “BTS a distance”
Will he click ?
Will he convert ?
New user
Impression
Click
Conversion
10$ question :
how much should I pay the click ?
Google’s problem
28. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
28
Consensus
RF GBDT NN ... Better
29. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
29
Consensus
RF GBDT NN ... Better
a x RF
b x
GBDT
c x NN ...
Weighted Consensus
30. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
30
Consensus
RF GBDT NN ... Better
a x RF
b x
GBDT
c x NN ...
Weighted Consensus
RF GBDT NN ...
Learned model
f
31. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
31
Stacked models
x
RF
NN
GBDT
...
x’
Learning problem on (x’,
y)
32. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
32
Stacked models
x
RF
NN
GBDT
...
x’
Learning problem on (x’,
y)
➝ data leakage problem
Train
33. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
33
Stacked models
x
RF
NN
GBDT
DEVIL
x’
Learning problem on (x’,
y)
➝ data leakage problem
Train
34. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
34
Measure Stacked Models PerfCampaign1
Train
Test
Predictions
RF
NN
GBDT
...
Campaign2
Train
Test
Predictions
RF
NN
GBDT
...
Campaign...
35. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
35
Measure Stacked Models PerfCampaign1
Train
Test
Predictions
RF
NN
GBDT
...
Campaign2
Train
Test
Predictions
RF
NN
GBDT
...
Campaign...
CampaignT+1
Train
Test
Predictions
RF
NN
GBDT
...
CampaignT+2
Train
Test
Predictions
RF
NN
GBDT
...
CampaignT+...
Test !
37. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
37
Bidder comparison: context
A/B test
Campaign
Experiment 1:
50% bids Google
Experiment 2:
50% bids
Dolead
38. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
38
Bidder comparison: context
A/B test
50 campaigns
4 weeks
Goal : maximize conversions while respecting target CPA
Campaign
Experiment 1:
50% bids Google
Experiment 2:
50% bids
Dolead
39. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
39
Bidder comparison: % Below target CPA
Raw results :
- Google 33%
- Dolead 63%
Distribution
CPA(Google) / target
CPA
CPA(Dolead) / target
CPA
40. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
40
Bidder comparison: Conversions & CPA
Conversions :
In 67% of campaigns, Google had more convs
Distribution
Convs(Google) / Convs(Dolead)
41. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
41
Bidder comparison: Conversions & CPA
Conversions :
In 67% of campaigns, Google had more convs
Distribution
CPA :
In 83% of campaigns, Dolead was cheaper
Distribution
Convs(Google) / Convs(Dolead) CPA(Google) / CPA(Dolead)
42. DOLEAD @ Py.Paris - NOV 2018
WWW.DOLEAD.COM
42
Bidder comparison: Conversions & CPA
Conversions :
In 67% of campaigns, Google had more convs
Distribution
Google’s margin: 9.8K
CPA :
In 83% of campaigns, Dolead was cheaper
Distribution
Dolead’s margin: 13.3K (~+35%)
Convs(Google) / Convs(Dolead) CPA(Dolead) / CPA(Google)
43. DOLEAD @ Py.Paris –NOV 2018
WWW.DOLEAD.COM
Thanks for your attention !
PyApero
13 décember 2018
www.pyapero.com