Understand the benefits of machine learning and programmatic buying. Learn how machine learning works, reasons for programmatic growth, how machine learning compares to manual targeting plus an overview of real-time bidding.
Programmatic Everywhere: What The Marketer Needs to Know to Succeed In a Cros...Rubicon Project
During this webinar you will learn:
-What programmatic is (hint: it’s more than just RTB)
-How programmatic offers a substantial potential to support audience engagement and long-time value
-What programmatic means in a multiple device world
-What’s required (from the perspective of data, technology and process) to unlock programmatic’s potential
-How the programmatic approach is likely to evolve in the future
Programmatic advertising uses technology platforms to automatically place ads. It is a major trend that can increase sales by 200% at 40% lower cost than traditional advertising methods like AdWords. Many large brands use programmatic advertising, including Flipkart, Amazon, Swiggy, Mercedes-Benz, BMW, Ford, Nissan, Snapdeal, Jeep, Zomato, Kotak, Axis, and HDFC. One company provides programmatic advertising through Google Display & Video 360 and has a performance engine integrated with many ad exchanges and publishers. Special features include targeting competitors' customers, similar interests, approved websites only, and using first- and third-party data.
Demand-side platforms emerged in 2007, changing how digital media is purchased and creating a more efficient way for advertisers to reach consumers at scale. Since then, programmatic has grown significantly in both media opportunity and data management. Nearly all major brands and publishers now have or are developing programmatic strategies. The presentation discusses how programmatic has grown tremendously in Europe and Brazil in recent years, with spending increasing by hundreds of millions. It also outlines how an open ecosystem supports innovation, transparency, and outcomes for both demand and supply stakeholders in programmatic advertising.
Decimating Programmatic Advertising- the new buzz in advertising and marketing world
Learn more at: http://hub.bannerflow.com/h/i/236487553-infographic-programmatic-advertising-facts
Final presentation digiday retail summit 7 28 14 (2)shenkelmm
This document discusses strategies for programmatic success. It recommends:
1) Breaking down silos between marketing channels to improve traffic and sales.
2) Having close collaboration between CMOs and CIOs to take advantage of opportunities in mobile and cross-channel retail.
3) Leveraging advanced attribution to understand high-value touchpoints and increase revenue-generating interactions by 28%.
Infographic debunking the top three myths in programmatic ad buying: 1 Programmatic means targeting 2 It's all about robots 3 Programmatic is more important than creative.
The sheer amount of consumer data available has made manual campaign optimization strategies costly and inefficient. Predictive
marketing and programmatic campaigns are quickly becoming the industry standard, with programmatic ads estimated to make up 50% of all digital ad sales by 2018. But what is programmatic advertising, and what can it do for your business? Programmatic advertising uses artificial intelligence (AI) technologies with advanced algorithms that analyze consumer data and process it in real time.
Programmatic Everywhere: What The Marketer Needs to Know to Succeed In a Cros...Rubicon Project
During this webinar you will learn:
-What programmatic is (hint: it’s more than just RTB)
-How programmatic offers a substantial potential to support audience engagement and long-time value
-What programmatic means in a multiple device world
-What’s required (from the perspective of data, technology and process) to unlock programmatic’s potential
-How the programmatic approach is likely to evolve in the future
Programmatic advertising uses technology platforms to automatically place ads. It is a major trend that can increase sales by 200% at 40% lower cost than traditional advertising methods like AdWords. Many large brands use programmatic advertising, including Flipkart, Amazon, Swiggy, Mercedes-Benz, BMW, Ford, Nissan, Snapdeal, Jeep, Zomato, Kotak, Axis, and HDFC. One company provides programmatic advertising through Google Display & Video 360 and has a performance engine integrated with many ad exchanges and publishers. Special features include targeting competitors' customers, similar interests, approved websites only, and using first- and third-party data.
Demand-side platforms emerged in 2007, changing how digital media is purchased and creating a more efficient way for advertisers to reach consumers at scale. Since then, programmatic has grown significantly in both media opportunity and data management. Nearly all major brands and publishers now have or are developing programmatic strategies. The presentation discusses how programmatic has grown tremendously in Europe and Brazil in recent years, with spending increasing by hundreds of millions. It also outlines how an open ecosystem supports innovation, transparency, and outcomes for both demand and supply stakeholders in programmatic advertising.
Decimating Programmatic Advertising- the new buzz in advertising and marketing world
Learn more at: http://hub.bannerflow.com/h/i/236487553-infographic-programmatic-advertising-facts
Final presentation digiday retail summit 7 28 14 (2)shenkelmm
This document discusses strategies for programmatic success. It recommends:
1) Breaking down silos between marketing channels to improve traffic and sales.
2) Having close collaboration between CMOs and CIOs to take advantage of opportunities in mobile and cross-channel retail.
3) Leveraging advanced attribution to understand high-value touchpoints and increase revenue-generating interactions by 28%.
Infographic debunking the top three myths in programmatic ad buying: 1 Programmatic means targeting 2 It's all about robots 3 Programmatic is more important than creative.
The sheer amount of consumer data available has made manual campaign optimization strategies costly and inefficient. Predictive
marketing and programmatic campaigns are quickly becoming the industry standard, with programmatic ads estimated to make up 50% of all digital ad sales by 2018. But what is programmatic advertising, and what can it do for your business? Programmatic advertising uses artificial intelligence (AI) technologies with advanced algorithms that analyze consumer data and process it in real time.
Realizing Customer Centric Marketing in the Digital AgeMediaMath
This document discusses the importance of customer-centric marketing in the digital age. It outlines MediaMath's capabilities in helping companies implement a customer-centric approach through programmatic advertising. MediaMath has grown significantly since being founded in 2007 and now has over 600 employees serving over 4,500 active advertisers in 15 global locations. The document emphasizes that successful customer-centric marketing requires data-driven understanding of audiences, optimization of media buying, engaging messaging, and delivering ads across relevant media channels.
Programmatic Creative vs. Dynamic Creative Optimization (DCO)Thunder
Programmatic creative refers to the set of advertising technologies that allows marketers to execute data-informed, software-assisted creative.
Dynamic Creative Optimization (DCO) falls under the programmatic umbrella, but is only one of two technologies that solve creative problems for programmatic media. Digital marketers can leverage both DCO and Creative Management Platforms (CMPs) to maximize the impact of the creative within programmatic and direct advertising.
Learn how both programmatic creative solutions, DCO and CMPs helps digital marketers drive hyper-relevant ads to each audience.
Thunder Creative Management Platform enables brands, agencies, and publishers to amplify creative versioning across the most data-driven advertising channels today: desktop display, mobile display, and Facebook ads.
Schedule a demo today to see how Thunder can empower your organization to achieve ambitious creative strategies: https://www.makethunder.com/contact.
Programmatic 101 webinar slides ck 032714 finalIABmembership
The document provides an overview of programmatic advertising for direct sellers. It includes an agenda for presentations on what programmatic is, how to sell programmatically, the evolution of programmatic sales, and IAB activities related to programmatic. The presentations will cover topics such as real-time bidding, open marketplace vs private marketplace, how major holding companies structure their trade desks, and approaches to selling programmatic inventory. There will be a Q&A session following the presentations.
This document discusses how programmatic technology enables customer-centric marketing. It notes that a customer's journey occurs across multiple touchpoints and that programmatic advertising helps overcome barriers to understanding customers by targeting the right person at the right time and place. Programmatic spending has grown significantly in recent years and will account for most display ad spending by 2017. Several major brands are adopting programmatic advertising and seeing improved results and ROI. The document advocates using first-party data and programmatic buying to drive more profitable marketing and improve the customer experience with relevant messages.
Digital marketing is the perfect choice for someone who is looking to step up their career in Marketing. Whether you are already working or are a recent graduate, everyone has an
equal opportunity in this field. What you need is a lot of passion and creativity, as marketing itself requires constant innovation and out of the box thinking. Working smart,
keeping yourself updated with latest information, excellent communication skills, are key to success.
How programmatic is transforming digital advertisingequimedia
From the Online Influence conference (October 2015), this presentation looks at how human insight, data and technology are working in harmony to enable programmatic advertising to transform into a premium digital marketing channel.
"Programmatic is not simply about relying on technology to do our job for us. Through clever use of this technology, combined with the effective interpretation and use of data and relevant and timely creative messaging, we can drive better campaign performance."
Edwin Lee, VP Global Retail, MediaMath presented this deck at the Digiday Brand Summit in April 2015. Edwin spoke about the various options of managing programmatic marketing, and how one size doesn't fit all.
Programmatic Right Here, Right Now ( English Version )Xavier Garrido
Presentation done at II Forum Programmatic during March the 1rst 2016 in Madrid.
In this presentation, i tried to bring closer programmatic in a simple way to the audience emphasizing that we are facing a paradigm shift in the advertising industry.
Google – Gielke Burgmans Demystifying Programmatic Marketing OrangeValley
This document discusses programmatic marketing and how it allows marketers to reach the right users with the right messages in real time. It notes that marketers now use many different platforms for campaigns, which can lead to fragmented insights and performance obstacles. A unified programmatic platform can increase campaign efficiencies by up to 33% and lower costs per action by an average of 32% by allowing for centralized planning, creation and optimization of campaigns. The document encourages marketers to start using programmatic marketing by first obtaining more knowledge, starting with small tests, and planning campaigns that run consistently over time while considering their data and technology needs.
In 2014, the buzzword “programmatic” was acknowledged as the Marketing Word of the Year by the Association of National Advertisers, defeating other industry words such as “content,” “millennials,” or “transparency.” Programmatic advertising uses technology to purchase and sell media in real-time, giving media buyers access to inventory across desktop, display, mobile (web and apps), social media, video and TV.
This document discusses how to achieve marketing goals through programmatic advertising using data and algorithms. It emphasizes setting the right advertising goal, understanding the large programmatic opportunity in terms of available digital impressions, and managing the vast amount of data through predictive models and optimization to determine the right bid price for each impression and which impressions to purchase. The key to success is creating a strategic vision, setting a clear goal, accessing maximum supply, onboarding relevant data, using world-class algorithms, and providing insightful analysis.
This document provides an overview of Nielsen's solutions for measuring marketing effectiveness across different areas such as media planning/buying, audience measurement, response effect, and resonance/reaction.
It describes Nielsen's various solutions including AIS/M+ for competitive media spend analysis, TV Ratings for measuring TV viewership, NCS/NBI for analyzing sales impact of advertising campaigns, and Nielsen Neuro for evaluating ad effectiveness based on brain activity and eye tracking.
For each solution, it provides a brief description, key benefits, typical budget and timing required. The solutions range from analyzing media spend and viewership to measuring sales impact, campaign accountability, and ad resonance with audiences.
Drive Business Results with MediaMath RetailMediaMath
The document discusses MediaMath Retail, a programmatic marketing solution tailored for retailers. It highlights how several major brands are increasingly adopting programmatic media buying. The solution combines data management, cross-channel execution, creative optimization, and decisioning tools. It also provides access to billions of global online ad impressions daily across different channels. MediaMath Retail aims to help retailers drive business results by optimizing their marketing activities and campaigns to achieve desired goals and outcomes. Case studies show how the solution has helped various retailers lower customer acquisition costs, increase returns on ad spend, and boost online and offline sales.
Morning Workshop: Blend to Maximize Revenue, sponsored by Amobee at Digiday P...Digiday
This document discusses strategies for mobile monetization. It argues that a blended exchange that optimizes across ad networks and programmatic demand can maximize revenue for publishers. This involves abstracting the SDK/tag to access different demand sources and using an optimizer to select the highest value ad. It also recommends supporting both custom high-value native ads and generic high-volume native ads. A key is choosing a platform partner that allows scaling for both and incorporates data and segmentation into monetization. The partner should provide analytics and tools to enable effective decision making.
The Publishers Guide to Programmatic Media Buying and SellingGleanster Research
Programmatic direct demands that publishers take additional liberties to truly make their audience discoverable. You have to make it easier for brands to locate the audience they value. Only then can programmatic direct bidding deliver demand optimized pricing for publishers. Buyers will only demand higher prices if they know they can target audiences with programmatic direct as efficiently and effectively as they can with RTB on remnant inventory.
The Programmatic Revolution_Presentation_Silvia AlongiSilvia Alongi
Programmatic is an automated way of buying and selling ad space through real-time auctions that allows advertisers to target audiences more effectively by removing humans from the process and using data and technology to reach the right customer with the right message at the right time. While programmatic advertising provides benefits like maximized budgets, efficiency, and insights, challenges remain around transparency, proving effectiveness, fraud, and developing understanding of the terminology.
This document examines whether in-game advertising (IGA) is an effective promotional approach. It defines IGA as using computer and video games as an advertising tool. The researchers aim to determine if IGA affects customers more impressively than other advertising and how gamers view games and brands with soft advertisements embedded. Their methodology includes a deductive research approach using primary questionnaires and secondary case study data from Bing analyzed with SPSS. Their theoretical framework analyzes IGA using attention, interest, desire, and action models and buyer readiness stages. Market research finds IGA targets gamers and the industry has grown. Data suggests IGA increases awareness, liking, and purchase conviction. Discussion notes IGA benefits both
Tipro media group was facing challenges with its existing ad serving systems which were unable to optimize advertising campaigns and inventory. It migrated to the AdOcean platform to improve inventory management, campaign efficiency, and enable customized ad delivery [end of sentence 1]. With AdOcean, Tipro was able to increase campaign effectiveness by 30-40%, save on penalties, forecast inventory, and optimize ad space usage [end of sentence 2]. Significant benefits were seen across data management, ad stream control, cost savings, and improved attractiveness and sales for advertisers [end of sentence 3].
This document discusses the rise of programmatic advertising and the importance of measurement for brands in this new environment. Programmatic allows ads to be bought and sold automatically in milliseconds based on specific criteria like demographics and interests. It is forecasted that programmatic will make up over 25% of all digital ad buys by 2017. While programmatic provides speed, precision and control, brands still need transparency, quality inventory, and simplicity. Neutral third party measurement is also important to provide validity and consistency, especially as algorithms can replicate errors quickly. The document provides examples of how brands can use measurement data to ensure they reach the right audience, drive brand lift at scale, and apply offline data to online campaigns. Ultimately, programmatic is shifting
NYU Presentation: A Look Into The Programmatic Future Rubicon Project
VP Marketing Ben Plomion gives a lecture to NYU grad students on what we can expect to see more of in the programmatic future. Hint: use of live data,drones,more flow advertising,video video VIDEO,and yes,cookies (they're not dead yet).
He also discusses whether or not receiving an MBA is necessary to become a successful CMO in this programmatic future.
NLP (neuro-linguistic programming) is a technique that can reprogram your neurology to help you achieve things you once thought impossible. The document provides examples of how NLP has helped people overcome phobias, increase confidence, get career promotions, and improve exam success. It promotes a 1-day NLP workshop that teaches techniques to boost confidence, overcome unwanted behaviors, feel better about yourself, and take control of your life.
Website testing & optimization framework & resultsSaad Hameed
This document outlines a framework for website testing and optimization. It discusses:
1. Creating a baseline of website visitor engagement by implementing analytics tools and redesigning the website interface.
2. Entering a second phase of optimization focused on improving conversions by detailing a testing taxonomy, executing tests, and measuring results.
3. The framework categorizes website elements that can be tested such as content, images, modules, and calls to action. It provides examples of attributes that can be varied for each element.
Realizing Customer Centric Marketing in the Digital AgeMediaMath
This document discusses the importance of customer-centric marketing in the digital age. It outlines MediaMath's capabilities in helping companies implement a customer-centric approach through programmatic advertising. MediaMath has grown significantly since being founded in 2007 and now has over 600 employees serving over 4,500 active advertisers in 15 global locations. The document emphasizes that successful customer-centric marketing requires data-driven understanding of audiences, optimization of media buying, engaging messaging, and delivering ads across relevant media channels.
Programmatic Creative vs. Dynamic Creative Optimization (DCO)Thunder
Programmatic creative refers to the set of advertising technologies that allows marketers to execute data-informed, software-assisted creative.
Dynamic Creative Optimization (DCO) falls under the programmatic umbrella, but is only one of two technologies that solve creative problems for programmatic media. Digital marketers can leverage both DCO and Creative Management Platforms (CMPs) to maximize the impact of the creative within programmatic and direct advertising.
Learn how both programmatic creative solutions, DCO and CMPs helps digital marketers drive hyper-relevant ads to each audience.
Thunder Creative Management Platform enables brands, agencies, and publishers to amplify creative versioning across the most data-driven advertising channels today: desktop display, mobile display, and Facebook ads.
Schedule a demo today to see how Thunder can empower your organization to achieve ambitious creative strategies: https://www.makethunder.com/contact.
Programmatic 101 webinar slides ck 032714 finalIABmembership
The document provides an overview of programmatic advertising for direct sellers. It includes an agenda for presentations on what programmatic is, how to sell programmatically, the evolution of programmatic sales, and IAB activities related to programmatic. The presentations will cover topics such as real-time bidding, open marketplace vs private marketplace, how major holding companies structure their trade desks, and approaches to selling programmatic inventory. There will be a Q&A session following the presentations.
This document discusses how programmatic technology enables customer-centric marketing. It notes that a customer's journey occurs across multiple touchpoints and that programmatic advertising helps overcome barriers to understanding customers by targeting the right person at the right time and place. Programmatic spending has grown significantly in recent years and will account for most display ad spending by 2017. Several major brands are adopting programmatic advertising and seeing improved results and ROI. The document advocates using first-party data and programmatic buying to drive more profitable marketing and improve the customer experience with relevant messages.
Digital marketing is the perfect choice for someone who is looking to step up their career in Marketing. Whether you are already working or are a recent graduate, everyone has an
equal opportunity in this field. What you need is a lot of passion and creativity, as marketing itself requires constant innovation and out of the box thinking. Working smart,
keeping yourself updated with latest information, excellent communication skills, are key to success.
How programmatic is transforming digital advertisingequimedia
From the Online Influence conference (October 2015), this presentation looks at how human insight, data and technology are working in harmony to enable programmatic advertising to transform into a premium digital marketing channel.
"Programmatic is not simply about relying on technology to do our job for us. Through clever use of this technology, combined with the effective interpretation and use of data and relevant and timely creative messaging, we can drive better campaign performance."
Edwin Lee, VP Global Retail, MediaMath presented this deck at the Digiday Brand Summit in April 2015. Edwin spoke about the various options of managing programmatic marketing, and how one size doesn't fit all.
Programmatic Right Here, Right Now ( English Version )Xavier Garrido
Presentation done at II Forum Programmatic during March the 1rst 2016 in Madrid.
In this presentation, i tried to bring closer programmatic in a simple way to the audience emphasizing that we are facing a paradigm shift in the advertising industry.
Google – Gielke Burgmans Demystifying Programmatic Marketing OrangeValley
This document discusses programmatic marketing and how it allows marketers to reach the right users with the right messages in real time. It notes that marketers now use many different platforms for campaigns, which can lead to fragmented insights and performance obstacles. A unified programmatic platform can increase campaign efficiencies by up to 33% and lower costs per action by an average of 32% by allowing for centralized planning, creation and optimization of campaigns. The document encourages marketers to start using programmatic marketing by first obtaining more knowledge, starting with small tests, and planning campaigns that run consistently over time while considering their data and technology needs.
In 2014, the buzzword “programmatic” was acknowledged as the Marketing Word of the Year by the Association of National Advertisers, defeating other industry words such as “content,” “millennials,” or “transparency.” Programmatic advertising uses technology to purchase and sell media in real-time, giving media buyers access to inventory across desktop, display, mobile (web and apps), social media, video and TV.
This document discusses how to achieve marketing goals through programmatic advertising using data and algorithms. It emphasizes setting the right advertising goal, understanding the large programmatic opportunity in terms of available digital impressions, and managing the vast amount of data through predictive models and optimization to determine the right bid price for each impression and which impressions to purchase. The key to success is creating a strategic vision, setting a clear goal, accessing maximum supply, onboarding relevant data, using world-class algorithms, and providing insightful analysis.
This document provides an overview of Nielsen's solutions for measuring marketing effectiveness across different areas such as media planning/buying, audience measurement, response effect, and resonance/reaction.
It describes Nielsen's various solutions including AIS/M+ for competitive media spend analysis, TV Ratings for measuring TV viewership, NCS/NBI for analyzing sales impact of advertising campaigns, and Nielsen Neuro for evaluating ad effectiveness based on brain activity and eye tracking.
For each solution, it provides a brief description, key benefits, typical budget and timing required. The solutions range from analyzing media spend and viewership to measuring sales impact, campaign accountability, and ad resonance with audiences.
Drive Business Results with MediaMath RetailMediaMath
The document discusses MediaMath Retail, a programmatic marketing solution tailored for retailers. It highlights how several major brands are increasingly adopting programmatic media buying. The solution combines data management, cross-channel execution, creative optimization, and decisioning tools. It also provides access to billions of global online ad impressions daily across different channels. MediaMath Retail aims to help retailers drive business results by optimizing their marketing activities and campaigns to achieve desired goals and outcomes. Case studies show how the solution has helped various retailers lower customer acquisition costs, increase returns on ad spend, and boost online and offline sales.
Morning Workshop: Blend to Maximize Revenue, sponsored by Amobee at Digiday P...Digiday
This document discusses strategies for mobile monetization. It argues that a blended exchange that optimizes across ad networks and programmatic demand can maximize revenue for publishers. This involves abstracting the SDK/tag to access different demand sources and using an optimizer to select the highest value ad. It also recommends supporting both custom high-value native ads and generic high-volume native ads. A key is choosing a platform partner that allows scaling for both and incorporates data and segmentation into monetization. The partner should provide analytics and tools to enable effective decision making.
The Publishers Guide to Programmatic Media Buying and SellingGleanster Research
Programmatic direct demands that publishers take additional liberties to truly make their audience discoverable. You have to make it easier for brands to locate the audience they value. Only then can programmatic direct bidding deliver demand optimized pricing for publishers. Buyers will only demand higher prices if they know they can target audiences with programmatic direct as efficiently and effectively as they can with RTB on remnant inventory.
The Programmatic Revolution_Presentation_Silvia AlongiSilvia Alongi
Programmatic is an automated way of buying and selling ad space through real-time auctions that allows advertisers to target audiences more effectively by removing humans from the process and using data and technology to reach the right customer with the right message at the right time. While programmatic advertising provides benefits like maximized budgets, efficiency, and insights, challenges remain around transparency, proving effectiveness, fraud, and developing understanding of the terminology.
This document examines whether in-game advertising (IGA) is an effective promotional approach. It defines IGA as using computer and video games as an advertising tool. The researchers aim to determine if IGA affects customers more impressively than other advertising and how gamers view games and brands with soft advertisements embedded. Their methodology includes a deductive research approach using primary questionnaires and secondary case study data from Bing analyzed with SPSS. Their theoretical framework analyzes IGA using attention, interest, desire, and action models and buyer readiness stages. Market research finds IGA targets gamers and the industry has grown. Data suggests IGA increases awareness, liking, and purchase conviction. Discussion notes IGA benefits both
Tipro media group was facing challenges with its existing ad serving systems which were unable to optimize advertising campaigns and inventory. It migrated to the AdOcean platform to improve inventory management, campaign efficiency, and enable customized ad delivery [end of sentence 1]. With AdOcean, Tipro was able to increase campaign effectiveness by 30-40%, save on penalties, forecast inventory, and optimize ad space usage [end of sentence 2]. Significant benefits were seen across data management, ad stream control, cost savings, and improved attractiveness and sales for advertisers [end of sentence 3].
This document discusses the rise of programmatic advertising and the importance of measurement for brands in this new environment. Programmatic allows ads to be bought and sold automatically in milliseconds based on specific criteria like demographics and interests. It is forecasted that programmatic will make up over 25% of all digital ad buys by 2017. While programmatic provides speed, precision and control, brands still need transparency, quality inventory, and simplicity. Neutral third party measurement is also important to provide validity and consistency, especially as algorithms can replicate errors quickly. The document provides examples of how brands can use measurement data to ensure they reach the right audience, drive brand lift at scale, and apply offline data to online campaigns. Ultimately, programmatic is shifting
NYU Presentation: A Look Into The Programmatic Future Rubicon Project
VP Marketing Ben Plomion gives a lecture to NYU grad students on what we can expect to see more of in the programmatic future. Hint: use of live data,drones,more flow advertising,video video VIDEO,and yes,cookies (they're not dead yet).
He also discusses whether or not receiving an MBA is necessary to become a successful CMO in this programmatic future.
NLP (neuro-linguistic programming) is a technique that can reprogram your neurology to help you achieve things you once thought impossible. The document provides examples of how NLP has helped people overcome phobias, increase confidence, get career promotions, and improve exam success. It promotes a 1-day NLP workshop that teaches techniques to boost confidence, overcome unwanted behaviors, feel better about yourself, and take control of your life.
Website testing & optimization framework & resultsSaad Hameed
This document outlines a framework for website testing and optimization. It discusses:
1. Creating a baseline of website visitor engagement by implementing analytics tools and redesigning the website interface.
2. Entering a second phase of optimization focused on improving conversions by detailing a testing taxonomy, executing tests, and measuring results.
3. The framework categorizes website elements that can be tested such as content, images, modules, and calls to action. It provides examples of attributes that can be varied for each element.
Machine learning for digital advertisingMarc Garcia
There are many well known applications to machine learning: NLP, computer vision, spam detection, recommender systems... This talk will focus on a less known application, direct response digital marketing. Machine learning can be used to optimize our return on investment, by identifying the market segments more likely to buy our products, the best UX for each user, or what makes an ad stand out.
When using TV, radio, or street banners for our company marketing, it is difficult to asses what in our campaign is working, and what is not. But when using digital marketing, we can access a large amount of information to identify what we are doing right and what we are doing wrong. For a given user that clicks in our ad, we can find information such as:
* What was the appearance of the ad? Texts, words used, image, colours...
* What kind of user we targeted? Age, gender, location, language...
* Which experience we offered to the user? Appearance of the landing page, number of clicks required to achieve the goal, information requested in forms...
As advertisers, we have a lot of control on all these variables, we decide what is the UX of our site, the graphical design of our ads, the users that we are targeting... With some basic analysis we can easily identify which ad is performing better, which are the main market segments that buy our products, or which is the page layout that maximizes sales. But this is only a small part of what we can do, by tracking all the available information, mining it, and using machine learning to take the right decisions in real time.
This talk will briefly describe what is direct response digital marketing, which is the information available, and what makes digital marketing information different of other domain datasets. We will see for example, that we are in an unbalanced problem, or that one of the keys is the computational performance of our model predictions.
How Machine Learning is Shaping Digital Marketingindico data
Dan Kuster held a workshop at General Assembly Boston on how machine learning is changing -- and improving -- the way digital marketers do their jobs.
Overview:
"Machine learning allows a marketer to target people based on an actual understanding of their interests, habits, and personality, rather than typical demographic data. To get more concrete here, machine learning lets you say: I want to target people that have posted a picture of a guitar in the last three months, or: I want to target people with the INTP personality type that posted something angry about Bernie Sanders recently.
It also allows marketers to look strategically at the content they use to engage their audience and reflect on what works and what doesn't work in a scientific way. If you make 30 posts with very different engagement rates, you can use your own intuition, but then also scientifically vet the wording of your message to get a sense ahead of time about how engaging it may be."
New challenges for scalable machine learning in online advertisingOlivier Koch
The document discusses challenges and opportunities for machine learning in online advertising at scale. It notes that while ML has helped with tasks like bidding and recommendations, challenges remain around long-term effects, overfitting, personalization across devices, and optimal credit assignment and metrics. The document proposes that reinforcement learning, counterfactual analysis, transfer learning and factorization could help address issues like optimal bidding strategies, offline evaluation, and modeling long tail users and products. It concludes by inviting others to help solve remaining open challenges.
PhotoReading helps life-long learners everywhere maximize the use of their brain's natural genius capabilities and process information faster and better by using the vast and untapped portions of the mind. In this Information Age, realize that PhotoReading is essential to keep up and its is the wave of the future.
This document summarizes Jay Wang's background and experience in machine learning and data science. It then discusses several applications of machine learning including personalized recommendation in retail using data from companies like Stitch Fix, sources of data, and how algorithms interact with users. Finally, it covers topics like data-centric startups, building competitive advantages with data, applications of machine learning, and the advertising process at Twitter including targeting, filtering, click-through rate prediction, and ranking/pricing models.
Online advertising and large scale model fittingWush Wu
This document discusses online advertising and techniques for fitting large-scale models to advertising data. It outlines batch and online algorithms for logistic regression, including parallelizing existing batch algorithms and stochastic gradient descent. The document also discusses using alternating direction method of multipliers and follow the proximal regularized leader to fit models to large datasets across multiple machines. It provides examples of how major companies like LinkedIn and Facebook implement hybrid online-batch algorithms at large scale.
The document discusses how machine learning and sensors can provide insights to retailers by analyzing customer shopping journeys and behaviors. It describes how sensors in stores, online, and in the supply chain can track inventory, sales, and consumer preferences. The presentation then shows examples of how a retailer could use sensor data and machine learning to improve operations, pricing, promotions, and assortment planning.
This document discusses machine learning applications for digital advertising. It describes how machine learning can optimize advertising by predicting click-through rates and conversion probabilities based on user, ad, and website data. However, obtaining sufficient high-quality data for machine learning models is challenging for advertisers due to data sparsity, high costs, and lack of access to raw user data from platforms. The document also outlines some machine learning techniques like gradient boosting trees that have shown promise for digital advertising optimization.
MIXX Canada 2015: Towards Revolutionizing New Frontiers in Mobile Marketing U...IAB Canada
The explosive growth of smartphones and location-based services has contributed to the rise of mobile advertising. Anindya Ghose will present results from studies that are designed to measure the effectiveness of mobile marketing promotions. The overall mobile trajectory of each consumer can provide even richer information about consumer preferences. A new mobile advertising technique will be presented that leverages full information on consumers’ offline moving trajectories. This session will help marketers better understand the question of which kinds of mobile advertising are most effective and how machine learning techniques combined with statistical models and field experiments offer the right product to the right audience at the right time.
St Galler Internettag Michael Altendorf Adtelligence - Big Data, Personalizat...Michael Altendorf
Präsentation zum St Galler Internettag in Zürich/Schweiz, März 2013. Adtelligence provides eCommerce optimization & customer intelligence solutions that increase advertising effectiveness through machine learning, leading to improved conversion rates and increased revenue.
The Adtelligence Convert+ solution is a cloud-hosted service that delivers real-time web page customization that personalizes and optimizes the user’s experience, taking advantage of customer demographics, social networking, and product interest information on any device & fully automated. For more information www.adtelligence.de
Criteo is an advertising company that displays ads on websites for its partners. It uses machine learning for click prediction models and product recommendations. Criteo has a large infrastructure across multiple data centers and handles over 30 billion HTTP requests per day. The presentation discusses the challenges of building machine learning models at Criteo's scale for real-time bidding and recommendations, such as dealing with many variables, changing products, and different timeframes.
Speed Reading: Essential Eye Training and Brain Rewiringspeed-reading
http://www.smartspeedreading.com
These slides are from the Iris Speed Reading Classes & Memory Improvement Courses. Iris is the largest and leading provider of Speed Reading & Memory Improvement Courses in the United States. This course covers essential eye-training and brain rewiring techniques for speed readers.
This document summarizes a talk on practical machine learning issues. It discusses identifying the right machine learning scenario for a given task, such as classification, regression, clustering, or reinforcement learning. It also addresses common reasons why machine learning models may fail, such as using the wrong evaluation metrics, not having enough labeled training data, or not performing proper feature engineering. The document emphasizes the importance of choosing the appropriate machine learning model, having sufficient high-quality data, and selecting useful features.
This document summarizes a presentation on machine learning and Hadoop. It discusses the current state and future directions of machine learning on Hadoop platforms. In industrial machine learning, well-defined objectives are rare, predictive accuracy has limits, and systems must precede algorithms. Currently, Hadoop is used for data preparation, feature engineering, and some model fitting. Tools include Pig, Hive, Mahout, and new interfaces like Spark. The future includes YARN for running diverse jobs and improved machine learning libraries. The document calls for academic work on feature engineering languages and broader model selection ontologies.
The document discusses optimizing sales and marketing funnels. It outlines a 9-step process for building a "sales and marketing machine" that is predictable, instrumented with metrics, cost-optimized, scalable and automated. The key steps include identifying all parties involved in purchasing decisions, understanding their buying process and concerns, designing actions to entice them through the process while addressing concerns, and aligning all funnel activities to directly lead to sales.
This document summarizes Deepak Agarwal's presentation on large scale machine learning for content recommendation and computational advertising. Some key points include:
- Machine learning models are used at LinkedIn and Yahoo to automatically recommend content and ads to users in order to optimize business objectives like engagement and revenue.
- These problems involve ranking and selecting items from large pools to maximize metrics like click-through rates. Exploration-exploitation approaches are used to balance exploring new items with exploiting known high performing items.
- Techniques discussed include temporal smoothing of click-through rate estimates, discounting rates for repeated views, multi-armed bandit algorithms, and Bayesian approaches to determine optimal allocation of traffic for exploration.
-
An Introduction to Supervised Machine Learning and Pattern Classification: Th...Sebastian Raschka
The document provides an introduction to supervised machine learning and pattern classification. It begins with an overview of the speaker's background and research interests. Key concepts covered include definitions of machine learning, examples of machine learning applications, and the differences between supervised, unsupervised, and reinforcement learning. The rest of the document outlines the typical workflow for a supervised learning problem, including data collection and preprocessing, model training and evaluation, and model selection. Common classification algorithms like decision trees, naive Bayes, and support vector machines are briefly explained. The presentation concludes with discussions around choosing the right algorithm and avoiding overfitting.
Defining the programmatic publishing landscape, highlighting the trends, and debunking the misconceptions of programmatic advertising for African publishers.
Ad Tech is redefining several age-old marketing techniques and providing businesses with better tools to reach their customers. How can organizations take advantage of it?
1) Programmatic advertising uses automated technology to buy and sell digital media in real-time, optimizing campaigns based on performance data. It provides targeted opportunities for B2B advertising across display, mobile, social, and other channels.
2) There are four types of programmatic transactions: open auctions, invitation-only/private auctions, unreserved fixed rate/preferred deals, and automated guaranteed/programmatic guaranteed deals. The two key factors differentiating these are how price is set and the type of inventory available.
3) Programmatic allows advertisers to target audiences based on their interests and behaviors across devices and platforms, rather than just buying placements on specific sites. It provides opportunities to reach audiences
1) Programmatic advertising uses automated technology to buy and sell digital media in real-time, optimizing campaigns based on performance data. It provides opportunities for precise targeting for B2B companies across display, mobile, social, and other channels.
2) There are four types of programmatic transactions: open auctions, invitation-only/private auctions, unreserved fixed rate/preferred deals, and automated guaranteed/programmatic guaranteed. The two key factors differentiating them are how price is set and the type of inventory available.
3) For B2B, programmatic means being able to buy interactions with the intended audience across the web, using real-time data to continually optimize campaigns for people instead
1) Programmatic advertising uses automated technology to buy and sell digital media in real-time, optimizing campaigns based on performance data. It provides targeted opportunities for B2B advertising across display, mobile, social, and other channels.
2) There are four types of programmatic transactions: open auctions, invitation-only/private auctions, unreserved fixed rate/preferred deals, and automated guaranteed/programmatic guaranteed deals. The two key factors differentiating these are how price is set and the type of inventory available.
3) Programmatic allows advertisers to target audiences based on their behaviors across devices and platforms, rather than just buying placements. It also facilitates cross-channel, cross-device campaigns
This document provides an overview of programmatic advertising basics for B2B digital advertising. It defines programmatic advertising as using automated technology to buy and sell media in real-time. It describes the four types of programmatic transactions and discusses how programmatic allows targeting of people instead of places. It also discusses best practices for B2B programmatic advertising including understanding transaction types and partners.
Programmatic advertising is a critical part of any multi-channel recruitment marketing operation.
As the newest kid on the block in recruitment marketing, programmatic sourcing uses ad technology to continually buy, manage, and optimize job ads across the Web, allowing recruiters to get the highest conversion rates.
In this free white paper, we walk you through programmatic to educate you for this inevitable industry shift and explain its key benefits, including:
1. Improve 'apply rate' conversions.
2. Attract quality applicants.
3. Eliminate wasted spend.
Download this white paper to learn how you can start using programmatic to optimize your recruiting funnel for quality candidates and save time and money along the way.
Programmatic Ad Buying: What Every Marketer Needs to Know Now. Kristen Whitney
Programmatic ad buying involves automated buying and selling of digital ad space using real-time bidding and data. It allows for precise targeting, reach, cost efficiencies, and optimization. While concerns around viewability, transparency, and fraud exist, programmatic now accounts for the majority of US digital display spending and is expanding to new channels. Marketers must work to understand the technology, partners, and ensure quality and brand safety in their programmatic campaigns.
Understanding the value of programmatic and how it can impact your brand.
Presented at the National Ski Area Association Convention and Tradeshow in San Francisco May 2015.
The document discusses how programmatic advertising is transforming digital marketing through automated and data-driven buying and selling of digital ads. Programmatic advertising uses real-time bidding technology and data to target ads to the right audiences. It allows for more efficient use of budgets, improved targeting and transparency. While programmatic offers many benefits, challenges remain around issues like ad fraud, lack of transparency, and evolving to support new formats and devices. Continued evolution of the programmatic ecosystem is needed to fully realize its potential.
The document discusses Programmatic Direct, which allows advertisers to engage specific publishers in an automated environment similar to a traditional digital direct sale. It provides a six-step process for advertisers to leverage Programmatic Direct, including asking questions about a vendor's publisher integrations, data options, reporting capabilities, available ad units, and creative services. The process emphasizes leveraging targeted creative and maintaining communication to optimize Programmatic Direct campaigns.
9 Digital Marketing Trends To Watch Out For In 2020Sujoy Mukherji
Digital Marketing is defined as an online platform where one can advertise their products and services on the internet or any other digital medium.
As we have already approached the year 2020, let’s look at a few of the upcoming Digital Marketing Trends this 2020. I like to call it the Digital Era!
Competition is always out there, and businesses should be well prepared with the latest trends.
Discover the 9 Digital Marketing Trends to Watch Out For in 2020>>>
Mad tech a revolution between martech and adtechGayathri Immadi
MadTech refers to the convergence of marketing technology (MarTech) and advertising technology (AdTech). It aims to bridge the gaps between these fields by combining customer data from various sources and using it to inform targeted digital advertising campaigns. MadTech benefits marketers by providing better customer insights, streamlining media buying and targeting, and eliminating data silos between MarTech and AdTech platforms. It is emerging as an important trend as the lines between marketing and advertising continue to blur.
Programmable brand marketing uses big data, automation, and personalization to deliver targeted advertising across channels in a seamless way. It goes beyond previous programmatic approaches by tracking individuals across devices and media to understand consumer journeys. This allows ads to be dynamically optimized and attribution to be improved. While challenges remain in integrating technologies, programmable brand marketing promises more relevant experiences that drive value for both consumers and brands. As data and tools advance, the goal is to deliver highly personalized messages to the right users consistently.
Programmatic advertising uses AI and algorithms to automate the process of buying digital ads across platforms like display, mobile, video, and social media. It analyzes data points about users to determine which ads to show to specific audiences within milliseconds. This allows marketers to customize aspects of their ads and campaigns like audience, placement, goals, and timing. The key tools for programmatic advertising are demand side platforms (DSPs) that advertisers use to buy ad space, supply side platforms (SSPs) that publishers use to sell ad space, data management platforms (DMPs) that collect audience data, and real-time bidding (RTB) that facilitates ad auctions. Programmatic advertising provides benefits like increased targeting of relevant
In today’s fast-paced digital world, the advertising landscape is constantly evolving, with new technologies and trends shaping the way brands connect with consumers. One of the most significant advancements in recent years is the rise of programmatic advertising, a data-driven approach to buying and selling digital ad inventory in real-time. This article explores the transformative impact of programmatic advertising on the digital advertising landscape and its implications for marketers and advertisers.
In today's fast-paced digital world, the advertising landscape is constantly evolving, with new technologies and trends shaping the way brands connect with consumers. One of the most significant advancements in recent years is the rise of programmatic advertising, a data-driven approach to buying and selling digital ad inventory in real-time. This article explores the transformative impact of programmatic advertising on the digital advertising landscape and its implications for marketers and advertisers.
Why [Mobile] [In-app] Programmatic? A Marketer's GuideMoPub
What do buyers need to know about how RTB works, what "premium" means for mobile inventory, mobile attribution, and more? It's all here in our handy guide.
Those cutting-edge, early adopting programmatic cats have developed some pretty confusing lingo for buying and selling ads automatically. Have no fear: we’ve decoded the jive talk so it’s easy to make smart, strategic decisions about programmatic.
Adverity: The Impact of Artificial Intelligence in MarketingAdverity
Understand what AI in marketing is. Learn how artificial intelligence impacts digital marketing. And find out whether you should feel threatened by machine learning and intelligent artificial intelligence at all.
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Title: Making Money the Easy Way: A Quick Guide to Generating IncomeWilliamZinsmeister
Welcome to "Making Money the Easy Way: A Quick Guide to Generating Income." This book is designed to provide you with practical, actionable strategies to generate income with minimal effort. Whether you’re looking to supplement your current income or create a full-time revenue stream, this guide covers a variety of methods to help you achieve your financial goals. We will explore opportunities available online, various investment strategies, profitable side hustles, creative approaches, and essential financial tips to ensure sustainable income growth.
Boost Your Instagram Views Instantly Proven Free Strategies.InstBlast Marketing
Supercars use advanced materials and tech for top-speed performance. Join Performance Car Exclusive to experience driving excellence.
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3 Best “Add to Calendar” Link Generator Tools (2024)Y
“Add to Calendar” link generator tools allow users to create links that add events directly to digital calendars like Google Calendar, Apple Calendar, and Outlook.
These tools simplify event scheduling by generating short URLs or QR codes that, when clicked or scanned, automatically insert event details into a user’s calendar.
They are ideal for streamlining the promotion of events in emails, websites, and social media, enhancing engagement and ensuring attendees don’t miss important dates.
These tools are designed to cater to diverse needs, from personal event planning to professional event promotion, ensuring your attendees can easily add events to their preferred calendar.
Cal.et is a versatile and user-friendly tool that allows you to create “Add to Calendar” links for seamless event scheduling and promotion.
We’ve entered a new era in digital. Search and AI are colliding, in more ways than one. And they all have major implications for marketers.
• SEOs now use AI to optimize content.
• Google now uses AI to generate answers.
• Users are skipping search completely. They can now use AI to get answers. So AI has changed everything …or maybe not. Our audience hasn’t changed. Their information needs haven’t changed. Their perception of quality hasn’t changed. In reality, the most important things haven’t changed at all. In this session, you’ll learn the impact of AI. And you’ll learn ways that AI can make us better at the classic challenges: getting discovered, connecting through content and staying top of mind with the people who matter most. We’ll use timely tools to rebuild timeless foundations. We’ll do better basics, but with the most advanced techniques. Andy will share a set of frameworks, prompts and techniques for better digital basics, using the latest tools of today. And in the end, Andy will consider - in a brief glimpse - what might be the biggest change of all, and how to expand your footprint in the new digital landscape.
Key Takeaways:
How to use AI to optimize your content
How to find topics that algorithms love
How to get AI to mention your content and your brand
This document was submitted as part of interview process for Marketing Specialist position at DTA Promotion, an Indonesian company which offers 360 degree marketing services, including ATL and BTL advertising platform.
Top Strategies for Building High-Quality Backlinks in 2024 PPT.pdf1Solutions Pvt. Ltd.
As we move into 2024, the methods for building high-quality backlinks continue to evolve, demanding more sophisticated and strategic approaches. This presentation aims to explore the latest trends and proven strategies for acquiring high-quality backlinks that can elevate your SEO efforts.
Visit:- https://www.1solutions.biz/link-building-packages/
Meta Revolutionizes Product Promotion with Automated Video Catalog Ads.pptxprovidenceadworks416
As a digital marketer, I am thrilled to see Meta revolutionizing product promotion with its new automated video catalog ads. This innovative feature allows anyone to seamlessly integrate dynamic video content into my catalog product ads, enhancing the visual appeal and engagement of campaigns. By leveraging Meta's advanced AI and machine learning capabilities, one can automatically deliver tailored video ads to the most interested users, boosting traffic and conversions. This new approach not only simplifies the ad creation process but also significantly improves performance and ROI.
Embark on style journeys Indian clothing store denver guide.pptxOmnama Fashions
Finding the perfect "Indian Clothing Store Denver" is essential for those seeking vibrant, authentic, and culturally rich attire in the heart of Colorado. Denver, a city known for its diverse culture and eclectic fashion scene, offers a variety of options for those in search of traditional and contemporary Indian clothing. Whether you're preparing for a wedding, festival, or cultural event, or simply wish to incorporate the elegance and beauty of Indian fashion into your wardrobe, discovering the right store can make all the difference.
What is Digital Marketing: A Comprehensive GuideV-tech Marketing
Digital technologies have transformed marketing. Traditional methods like print and TV ads are giving way to digital strategies, reshaping how brands connect with consumers online. Welcome to the era of digital marketing, where engagement in the digital realm is key. Let's delve into what digital marketing entails in our interconnected world.
2024 Trend Updates: What Really Works In SEO & Content MarketingSearch Engine Journal
The future of SEO is trending toward a more human-first and user-centric approach, powered by AI intelligence and collaboration. Are you ready?
Watch as we explore which SEO trends to prioritize to achieve sustainable growth and deliver reliable results. We’ll dive into best practices to adapt your strategy around industry-wide disruptions like SGE, how to navigate the top challenges SEO professionals are facing, and proven tactics for prioritizing quality and building trust.
You’ll hear:
- The top SEO trends to prioritize in 2024 to achieve long-term success.
- Predictions for SGE’s impact, and how to adapt.
- What E-E-A-T really means, and how to implement it holistically (hint: it’s never been more important).
With Zack Kadish and Alex Carchietta, we’ll show you which SEO trends to ignore and which to focus on, along with the solution to overcoming rapid, significant and disruptive Google algorithm updates.
If you’re looking to cut through the noise of constant SEO and content trends to drive success, you won’t want to miss this webinar.
INTRODUCTION TO SEARCH ENGINE OPTIMIZATION (SEO).pptxGiorgio Chiesa
This presentation is recommended for those who want to know more about SEO. It explains the main theoretical and practical aspects that influence the positioning of websites in search engines.
2. Learn about...
The benefits of Machine Learning and Programmatic
Programmatic by the numbers
The reasons for Programmatic growth
Programmatic Real-Time Bidding (RTB)
How Machine Learning works
The key benefits of Machine Learning and Programmatic
RTB
3. Programmatic by the numbers
Global Programmatic advertising hit 42% of total
display related media spend in 2014, up from 33% in
2013 (Source: Magna Global)
60-75% of total digital display advertising will be
spent on Programmatic by 2017 (Source: IAB)
4. What's driving that spend?
Reach customers cost effectively
Deliver the right message to the right person
when they are in-market to buy
Find new customers unaware of the advertisers
product
Advertiser's need to:
But how?
5.
6.
7.
8.
9. Machine Learning vs Manual Targeting
Human assisted targeting
Human assumes the audience.
Points targeting solution at
audiences that look like its core
audience.
Machine Learning solution
Makes no assumptions about
audience. Finds new audiences at
'pre-awareness' levels, as well as
optimising the core audience.
10.
11.
12. About Intelligent Optimisations
Intelligent Optimisations (IO) is a marketing technology company which has
developed a proprietary, big data driven, automated media buying platform.
Reach Us
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Intelligent Optimisations
Princess Court
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PL1 2EX
Telephone: +44 (0) 1752 603030
London
Intelligent Optimisations
Henry Wood House
2 Riding House Street
London
W1W 7DR
Telephone: +44 (0) 20 3770 7606
www.dsp.io hello@dsp.io @iopowertolearn