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#300 keywords from the Yoga industry.
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#🇨🇳#ecommerce#socialmedia#search#SEO#Maybe some of you remember that I asked in summer for some B2C topics#that you thought one might be better off focusing on Ecommerce platforms and Social Media in China than on organic & paid Search (= SEO & S#Well#I have been a little busy - so I couldn't follow up in time.#But I finally did look at some numbers. Spoiler Moonie Zhu - you were right: There is so much more to gain on E-commerce platforms and Soci#But there is also a little twist to this story - in the end.#Let me summarize the numbers for you:#I looked at around 3#300 keywords from the Yoga industry.#I gathered them using some different tools (including Searchmetrics of course - but some others as well) plus some input from my friends Ja#For you to better understand them#I auto-translated them using Google Translate (you'll see that in one column in the screenshots).#For those Chinese keywords I got the Baidu Search Volume from Baidu Keyword Planner#the monthly searches of China's biggest ecommerce platform Taobao / Tmall and the monthly Wechat Index numbers to cover the most important#that should be enough.#In the first three screenshots you can see the top keywords by Search Volume (for Wechat the Monthly Index) in descending order for those t#Es wurde kein Alt-Text für dieses Bild angegeben.#The keywords sorted by Baidu Keyword Tool Monthly Search Volume#The keywords sorted by Taobao / Tmall monthly Search Volume#The keywords sorted by Wechat monthly index#I color marked transactional keywords in green and informational keywords in blue (if the search intent is mixed#it would be green for transactional).#The most important takeaway for every B2C sales strategy is#that Wechat is the most impirtant channel#followed by Taobao / Tmall and then Baidu Search.
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Plate with a keto diet food. Fried egg, bacon, avocado, arugula and strawberries. Keto breakfast.
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Daily Yoga – Fitness On-the-Go Plan to burn fat, lose weight, get relaxed and relieve stress? This fitness app that facilitates the most convenient home exercises, not only nourishes your health but also spares you all the tiresome workouts and help you achieve fitness goals with yoga studio on the go.
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alanajacksontx · 6 years
Text
Google / YouTube and brand safety: What’s next?
At the ripe old age of 20, Google is synonymous with internet search. The famous Silicon Valley brand long ago became a verb.
Google Chrome remains the most popular web browser, leading on most mobile and desktop devices with more than 60 percent share across both platforms. It’s four times more popular than rival browsers.
In the U.S. alone, Google raked in about $34 billion in ad dollars tied to its dominant internet search business, per eMarketer.
With all its success and R&D spent to improve its search capabilities, it is surprising what a poor job Google and its core video offering, YouTube, do in two key areas of top importance to advertisers around the globe: search personalization and brand safety.
Just this week, YouTube once again became a shining example of what advertisers are desperately trying to fix: avoiding ad placements next to brand-inappropriate or dangerous content.
Google’s brand safety assurance is not fully baked yet
YouTube’s latest brand-safety debacle was sparked by a 20-minute video that has been viewed nearly 2.5 million times since Sunday.
Blogger Matt Watson said the comments sections on some YouTube posts that featured videos of girls performing things like gymnastics and yoga were being exploited by a “soft-core pedophilia ring.”
The videos were being time-stamped with minors in compromising positions and ads from companies like Disney and Nestle were being served up next to them. Unfortunately, YouTube’s recommendation engine was collecting and serving up more similar videos with associated ads being viewed and interacted with by pedophiles.
The outrage and furor over Watson’s discovery has caused major advertisers like AT&T, Disney, Epic Games and Nestle to pull advertising from YouTube as a result.
In response, earlier this week, YouTube has removed more than 400 channels amidst its latest child exploitation crisis.
However, significant brand damage and revenue loss for YouTube has been inflicted. A lack of faith in Google’s search algorithms and its brand-safety assurance is in the spotlight again following similar incidents that have occurred since 2017.
Brand safety concerns on YouTube
Following these well-publicized crises like YouTube’s most recent one, advertisers have grown increasingly concerned about ads appearing in brand-safe environments, especially on social-media platforms such as Google’s YouTube and Facebook.
A survey of more than 300 advertising decision-makers conducted by Oath, a Verizon company, last spring found that 99 percent of advertisers are concerned with their ads appearing in brand-safe environments. And 58 percent of them were more concerned than previous year.
A more recent study conducted by Teads found that “brand safety is keeping CMOs up at night.” Eight in 10 said that they’re more concerned with avoiding placement of ads next to brand-inappropriate content than ever before. It’s an issue that’s weighing heavily on the global digital ad industry that is now valued at more than $628 billion.
Ad platforms’ responses to protect brands
In response to advertisers’ concerns, major ad platforms have been adding more safeguards to avoid embarrassing and ineffective ad placements next to inappropriate content.
For example, Facebook rolled out new capabilities to exclude advertisements from predetermined categories such as conflict, gambling, guns, immigration, religion and tragedy. Google Ads offers some limiting functionality, but it is not as granular as what Facebook offers advertisers today.
Last month, new third-party software solutions from Integral Ad Science (IAS) and DoubleVerify were released to give YouTube advertisers more assurance that their video ads will appear next to brand-suitable content. This type of software is designed to reduce incidents of ads from tech giants, retailers, government agencies and media companies running alongside YouTube channels promoting controversial topics such as conspiracy theories, Nazis, North Korean propaganda and white nationalists, a trend reported on by CNN last April.
Tech giants like Google turn to artificial intelligence to improve ad effectiveness
The new software from IAS and DoubleVerify to improve brand-safety assurance on YouTube incorporates machine learning to create models for determining ad appropriateness.
Similarly, last year, Google launched new features with machine-learning technology – including a new service called AdSense auto ads that helps publishers improve monetization and ad placement. Google claims the relatively new feature ensures that ads will be displayed when they’re likely to perform and provide a good user experience.
Publishers who participated in the beta saw and average lift of 10 percent with revenue increasing ranging between five to 15 percent.
However, the personalization capabilities from Google to improve ad efficiency are not as good as they should be for publishers or advertisers.
How does current Google Ads personalization stack up?
As an example for the latter, I’ll cite a story about a good friend’s recent experience with Google Ads. A small business owner, he runs a local plumbing business in Milwaukee. He spent hundreds of dollars on an ad campaign a few months back to increase incoming business leads using Google Ads.
Google’s auto-generated keywords for the campaign it scraped from his landing page were not relevant, especially in terms of geo-targeting for a local plumbing business. His website traffic went way up, but he did not gain one qualified sales lead as a result of the campaign. It was a dismal failure for him.
How much will deep learning improve it?
Many industry experts view deep learning as the Holy Grail for “changing the game for both advertisers and consumers.” According to a ClickZ story by Daniel Surmacz: “Deep learning is changing the way we think about effectiveness. It’s the most promising field of AI-based research found in Google Translate and Tesla self-driving cars.”
Without an ability for machine learning AI-powered platforms to “think on their feet” like human neural networks, many don’t have the same speed and efficiency-drivers that deep learning provides. It’s simply not possible for machine-learning AI engines to act like personal shoppers and cross-sell relevant items to consumers without deep learning’s more highly advanced algorithms.
Unless Google improves its personalization and brand-safety capabilities, it stands to lose more market share to others, most notably Amazon.
The share of new ad dollars has been on the decline for the longtime duopoly of Google and Facebook compared to two years ago. Amazon, a master of personalization and controller of its own walled garden, has emerged as a search advertising powerhouse and it’s on track to generate more than $10 billion in ad revenues over the next year.
Gary Burtka is vice president of US operations at RTB House, a global company that provides retargeting technology for global brands worldwide. Its North American headquarters are based in New York City.
The post Google / YouTube and brand safety: What’s next? appeared first on Search Engine Watch.
from IM Tips And Tricks https://searchenginewatch.com/2019/02/22/google-youtube-and-brand-safety-whats-next/ from Rising Phoenix SEO https://risingphxseo.tumblr.com/post/182984436460
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kellykperez · 6 years
Text
Google / YouTube and brand safety: What’s next?
At the ripe old age of 20, Google is synonymous with internet search. The famous Silicon Valley brand long ago became a verb.
Google Chrome remains the most popular web browser, leading on most mobile and desktop devices with more than 60 percent share across both platforms. It’s four times more popular than rival browsers.
In the U.S. alone, Google raked in about $34 billion in ad dollars tied to its dominant internet search business, per eMarketer.
With all its success and R&D spent to improve its search capabilities, it is surprising what a poor job Google and its core video offering, YouTube, do in two key areas of top importance to advertisers around the globe: search personalization and brand safety.
Just this week, YouTube once again became a shining example of what advertisers are desperately trying to fix: avoiding ad placements next to brand-inappropriate or dangerous content.
Google’s brand safety assurance is not fully baked yet
YouTube’s latest brand-safety debacle was sparked by a 20-minute video that has been viewed nearly 2.5 million times since Sunday.
Blogger Matt Watson said the comments sections on some YouTube posts that featured videos of girls performing things like gymnastics and yoga were being exploited by a “soft-core pedophilia ring.”
The videos were being time-stamped with minors in compromising positions and ads from companies like Disney and Nestle were being served up next to them. Unfortunately, YouTube’s recommendation engine was collecting and serving up more similar videos with associated ads being viewed and interacted with by pedophiles.
The outrage and furor over Watson’s discovery has caused major advertisers like AT&T, Disney, Epic Games and Nestle to pull advertising from YouTube as a result.
In response, earlier this week, YouTube has removed more than 400 channels amidst its latest child exploitation crisis.
However, significant brand damage and revenue loss for YouTube has been inflicted. A lack of faith in Google’s search algorithms and its brand-safety assurance is in the spotlight again following similar incidents that have occurred since 2017.
Brand safety concerns on YouTube
Following these well-publicized crises like YouTube’s most recent one, advertisers have grown increasingly concerned about ads appearing in brand-safe environments, especially on social-media platforms such as Google’s YouTube and Facebook.
A survey of more than 300 advertising decision-makers conducted by Oath, a Verizon company, last spring found that 99 percent of advertisers are concerned with their ads appearing in brand-safe environments. And 58 percent of them were more concerned than previous year.
A more recent study conducted by Teads found that “brand safety is keeping CMOs up at night.” Eight in 10 said that they’re more concerned with avoiding placement of ads next to brand-inappropriate content than ever before. It’s an issue that’s weighing heavily on the global digital ad industry that is now valued at more than $628 billion.
Ad platforms’ responses to protect brands
In response to advertisers’ concerns, major ad platforms have been adding more safeguards to avoid embarrassing and ineffective ad placements next to inappropriate content.
For example, Facebook rolled out new capabilities to exclude advertisements from predetermined categories such as conflict, gambling, guns, immigration, religion and tragedy. Google Ads offers some limiting functionality, but it is not as granular as what Facebook offers advertisers today.
Last month, new third-party software solutions from Integral Ad Science (IAS) and DoubleVerify were released to give YouTube advertisers more assurance that their video ads will appear next to brand-suitable content. This type of software is designed to reduce incidents of ads from tech giants, retailers, government agencies and media companies running alongside YouTube channels promoting controversial topics such as conspiracy theories, Nazis, North Korean propaganda and white nationalists, a trend reported on by CNN last April.
Tech giants like Google turn to artificial intelligence to improve ad effectiveness
The new software from IAS and DoubleVerify to improve brand-safety assurance on YouTube incorporates machine learning to create models for determining ad appropriateness.
Similarly, last year, Google launched new features with machine-learning technology – including a new service called AdSense auto ads that helps publishers improve monetization and ad placement. Google claims the relatively new feature ensures that ads will be displayed when they’re likely to perform and provide a good user experience.
Publishers who participated in the beta saw and average lift of 10 percent with revenue increasing ranging between five to 15 percent.
However, the personalization capabilities from Google to improve ad efficiency are not as good as they should be for publishers or advertisers.
How does current Google Ads personalization stack up?
As an example for the latter, I’ll cite a story about a good friend’s recent experience with Google Ads. A small business owner, he runs a local plumbing business in Milwaukee. He spent hundreds of dollars on an ad campaign a few months back to increase incoming business leads using Google Ads.
Google’s auto-generated keywords for the campaign it scraped from his landing page were not relevant, especially in terms of geo-targeting for a local plumbing business. His website traffic went way up, but he did not gain one qualified sales lead as a result of the campaign. It was a dismal failure for him.
How much will deep learning improve it?
Many industry experts view deep learning as the Holy Grail for “changing the game for both advertisers and consumers.” According to a ClickZ story by Daniel Surmacz: “Deep learning is changing the way we think about effectiveness. It’s the most promising field of AI-based research found in Google Translate and Tesla self-driving cars.”
Without an ability for machine learning AI-powered platforms to “think on their feet” like human neural networks, many don’t have the same speed and efficiency-drivers that deep learning provides. It’s simply not possible for machine-learning AI engines to act like personal shoppers and cross-sell relevant items to consumers without deep learning’s more highly advanced algorithms.
Unless Google improves its personalization and brand-safety capabilities, it stands to lose more market share to others, most notably Amazon.
The share of new ad dollars has been on the decline for the longtime duopoly of Google and Facebook compared to two years ago. Amazon, a master of personalization and controller of its own walled garden, has emerged as a search advertising powerhouse and it’s on track to generate more than $10 billion in ad revenues over the next year.
Gary Burtka is vice president of US operations at RTB House, a global company that provides retargeting technology for global brands worldwide. Its North American headquarters are based in New York City.
The post Google / YouTube and brand safety: What’s next? appeared first on Search Engine Watch.
source https://searchenginewatch.com/2019/02/22/google-youtube-and-brand-safety-whats-next/ from Rising Phoenix SEO http://risingphoenixseo.blogspot.com/2019/02/google-youtube-and-brand-safety-whats.html
0 notes
Text
Google / YouTube and brand safety: What’s next?
At the ripe old age of 20, Google is synonymous with internet search. The famous Silicon Valley brand long ago became a verb.
Google Chrome remains the most popular web browser, leading on most mobile and desktop devices with more than 60 percent share across both platforms. It’s four times more popular than rival browsers.
In the U.S. alone, Google raked in about $34 billion in ad dollars tied to its dominant internet search business, per eMarketer.
With all its success and R&D spent to improve its search capabilities, it is surprising what a poor job Google and its core video offering, YouTube, do in two key areas of top importance to advertisers around the globe: search personalization and brand safety.
Just this week, YouTube once again became a shining example of what advertisers are desperately trying to fix: avoiding ad placements next to brand-inappropriate or dangerous content.
Google’s brand safety assurance is not fully baked yet
YouTube’s latest brand-safety debacle was sparked by a 20-minute video that has been viewed nearly 2.5 million times since Sunday.
Blogger Matt Watson said the comments sections on some YouTube posts that featured videos of girls performing things like gymnastics and yoga were being exploited by a “soft-core pedophilia ring.”
The videos were being time-stamped with minors in compromising positions and ads from companies like Disney and Nestle were being served up next to them. Unfortunately, YouTube’s recommendation engine was collecting and serving up more similar videos with associated ads being viewed and interacted with by pedophiles.
The outrage and furor over Watson’s discovery has caused major advertisers like AT&T, Disney, Epic Games and Nestle to pull advertising from YouTube as a result.
In response, earlier this week, YouTube has removed more than 400 channels amidst its latest child exploitation crisis.
However, significant brand damage and revenue loss for YouTube has been inflicted. A lack of faith in Google’s search algorithms and its brand-safety assurance is in the spotlight again following similar incidents that have occurred since 2017.
Brand safety concerns on YouTube
Following these well-publicized crises like YouTube’s most recent one, advertisers have grown increasingly concerned about ads appearing in brand-safe environments, especially on social-media platforms such as Google’s YouTube and Facebook.
A survey of more than 300 advertising decision-makers conducted by Oath, a Verizon company, last spring found that 99 percent of advertisers are concerned with their ads appearing in brand-safe environments. And 58 percent of them were more concerned than previous year.
A more recent study conducted by Teads found that “brand safety is keeping CMOs up at night.” Eight in 10 said that they’re more concerned with avoiding placement of ads next to brand-inappropriate content than ever before. It’s an issue that’s weighing heavily on the global digital ad industry that is now valued at more than $628 billion.
Ad platforms’ responses to protect brands
In response to advertisers’ concerns, major ad platforms have been adding more safeguards to avoid embarrassing and ineffective ad placements next to inappropriate content.
For example, Facebook rolled out new capabilities to exclude advertisements from predetermined categories such as conflict, gambling, guns, immigration, religion and tragedy. Google Ads offers some limiting functionality, but it is not as granular as what Facebook offers advertisers today.
Last month, new third-party software solutions from Integral Ad Science (IAS) and DoubleVerify were released to give YouTube advertisers more assurance that their video ads will appear next to brand-suitable content. This type of software is designed to reduce incidents of ads from tech giants, retailers, government agencies and media companies running alongside YouTube channels promoting controversial topics such as conspiracy theories, Nazis, North Korean propaganda and white nationalists, a trend reported on by CNN last April.
Tech giants like Google turn to artificial intelligence to improve ad effectiveness
The new software from IAS and DoubleVerify to improve brand-safety assurance on YouTube incorporates machine learning to create models for determining ad appropriateness.
Similarly, last year, Google launched new features with machine-learning technology – including a new service called AdSense auto ads that helps publishers improve monetization and ad placement. Google claims the relatively new feature ensures that ads will be displayed when they’re likely to perform and provide a good user experience.
Publishers who participated in the beta saw and average lift of 10 percent with revenue increasing ranging between five to 15 percent.
However, the personalization capabilities from Google to improve ad efficiency are not as good as they should be for publishers or advertisers.
How does current Google Ads personalization stack up?
As an example for the latter, I’ll cite a story about a good friend’s recent experience with Google Ads. A small business owner, he runs a local plumbing business in Milwaukee. He spent hundreds of dollars on an ad campaign a few months back to increase incoming business leads using Google Ads.
Google’s auto-generated keywords for the campaign it scraped from his landing page were not relevant, especially in terms of geo-targeting for a local plumbing business. His website traffic went way up, but he did not gain one qualified sales lead as a result of the campaign. It was a dismal failure for him.
How much will deep learning improve it?
Many industry experts view deep learning as the Holy Grail for “changing the game for both advertisers and consumers.” According to a ClickZ story by Daniel Surmacz: “Deep learning is changing the way we think about effectiveness. It’s the most promising field of AI-based research found in Google Translate and Tesla self-driving cars.”
Without an ability for machine learning AI-powered platforms to “think on their feet” like human neural networks, many don’t have the same speed and efficiency-drivers that deep learning provides. It’s simply not possible for machine-learning AI engines to act like personal shoppers and cross-sell relevant items to consumers without deep learning’s more highly advanced algorithms.
Unless Google improves its personalization and brand-safety capabilities, it stands to lose more market share to others, most notably Amazon.
The share of new ad dollars has been on the decline for the longtime duopoly of Google and Facebook compared to two years ago. Amazon, a master of personalization and controller of its own walled garden, has emerged as a search advertising powerhouse and it’s on track to generate more than $10 billion in ad revenues over the next year.
Gary Burtka is vice president of US operations at RTB House, a global company that provides retargeting technology for global brands worldwide. Its North American headquarters are based in New York City.
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srasamua · 6 years
Text
Google / YouTube and brand safety: What’s next?
At the ripe old age of 20, Google is synonymous with internet search. The famous Silicon Valley brand long ago became a verb.
Google Chrome remains the most popular web browser, leading on most mobile and desktop devices with more than 60 percent share across both platforms. It’s four times more popular than rival browsers.
In the U.S. alone, Google raked in about $34 billion in ad dollars tied to its dominant internet search business, per eMarketer.
With all its success and R&D spent to improve its search capabilities, it is surprising what a poor job Google and its core video offering, YouTube, do in two key areas of top importance to advertisers around the globe: search personalization and brand safety.
Just this week, YouTube once again became a shining example of what advertisers are desperately trying to fix: avoiding ad placements next to brand-inappropriate or dangerous content.
Google’s brand safety assurance is not fully baked yet
YouTube’s latest brand-safety debacle was sparked by a 20-minute video that has been viewed nearly 2.5 million times since Sunday.
Blogger Matt Watson said the comments sections on some YouTube posts that featured videos of girls performing things like gymnastics and yoga were being exploited by a “soft-core pedophilia ring.”
The videos were being time-stamped with minors in compromising positions and ads from companies like Disney and Nestle were being served up next to them. Unfortunately, YouTube’s recommendation engine was collecting and serving up more similar videos with associated ads being viewed and interacted with by pedophiles.
The outrage and furor over Watson’s discovery has caused major advertisers like AT&T, Disney, Epic Games and Nestle to pull advertising from YouTube as a result.
In response, earlier this week, YouTube has removed more than 400 channels amidst its latest child exploitation crisis.
However, significant brand damage and revenue loss for YouTube has been inflicted. A lack of faith in Google’s search algorithms and its brand-safety assurance is in the spotlight again following similar incidents that have occurred since 2017.
Brand safety concerns on YouTube
Following these well-publicized crises like YouTube’s most recent one, advertisers have grown increasingly concerned about ads appearing in brand-safe environments, especially on social-media platforms such as Google’s YouTube and Facebook.
A survey of more than 300 advertising decision-makers conducted by Oath, a Verizon company, last spring found that 99 percent of advertisers are concerned with their ads appearing in brand-safe environments. And 58 percent of them were more concerned than previous year.
A more recent study conducted by Teads found that “brand safety is keeping CMOs up at night.” Eight in 10 said that they’re more concerned with avoiding placement of ads next to brand-inappropriate content than ever before. It’s an issue that’s weighing heavily on the global digital ad industry that is now valued at more than $628 billion.
Ad platforms’ responses to protect brands
In response to advertisers’ concerns, major ad platforms have been adding more safeguards to avoid embarrassing and ineffective ad placements next to inappropriate content.
For example, Facebook rolled out new capabilities to exclude advertisements from predetermined categories such as conflict, gambling, guns, immigration, religion and tragedy. Google Ads offers some limiting functionality, but it is not as granular as what Facebook offers advertisers today.
Last month, new third-party software solutions from Integral Ad Science (IAS) and DoubleVerify were released to give YouTube advertisers more assurance that their video ads will appear next to brand-suitable content. This type of software is designed to reduce incidents of ads from tech giants, retailers, government agencies and media companies running alongside YouTube channels promoting controversial topics such as conspiracy theories, Nazis, North Korean propaganda and white nationalists, a trend reported on by CNN last April.
Tech giants like Google turn to artificial intelligence to improve ad effectiveness
The new software from IAS and DoubleVerify to improve brand-safety assurance on YouTube incorporates machine learning to create models for determining ad appropriateness.
Similarly, last year, Google launched new features with machine-learning technology – including a new service called AdSense auto ads that helps publishers improve monetization and ad placement. Google claims the relatively new feature ensures that ads will be displayed when they’re likely to perform and provide a good user experience.
Publishers who participated in the beta saw and average lift of 10 percent with revenue increasing ranging between five to 15 percent.
However, the personalization capabilities from Google to improve ad efficiency are not as good as they should be for publishers or advertisers.
How does current Google Ads personalization stack up?
As an example for the latter, I’ll cite a story about a good friend’s recent experience with Google Ads. A small business owner, he runs a local plumbing business in Milwaukee. He spent hundreds of dollars on an ad campaign a few months back to increase incoming business leads using Google Ads.
Google’s auto-generated keywords for the campaign it scraped from his landing page were not relevant, especially in terms of geo-targeting for a local plumbing business. His website traffic went way up, but he did not gain one qualified sales lead as a result of the campaign. It was a dismal failure for him.
How much will deep learning improve it?
Many industry experts view deep learning as the Holy Grail for “changing the game for both advertisers and consumers.” According to a ClickZ story by Daniel Surmacz: “Deep learning is changing the way we think about effectiveness. It’s the most promising field of AI-based research found in Google Translate and Tesla self-driving cars.”
Without an ability for machine learning AI-powered platforms to “think on their feet” like human neural networks, many don’t have the same speed and efficiency-drivers that deep learning provides. It’s simply not possible for machine-learning AI engines to act like personal shoppers and cross-sell relevant items to consumers without deep learning’s more highly advanced algorithms.
Unless Google improves its personalization and brand-safety capabilities, it stands to lose more market share to others, most notably Amazon.
The share of new ad dollars has been on the decline for the longtime duopoly of Google and Facebook compared to two years ago. Amazon, a master of personalization and controller of its own walled garden, has emerged as a search advertising powerhouse and it’s on track to generate more than $10 billion in ad revenues over the next year.
Gary Burtka is vice president of US operations at RTB House, a global company that provides retargeting technology for global brands worldwide. Its North American headquarters are based in New York City.
The post Google / YouTube and brand safety: What’s next? appeared first on Search Engine Watch.
from Digtal Marketing News https://searchenginewatch.com/2019/02/22/google-youtube-and-brand-safety-whats-next/
0 notes
bambiguertinus · 6 years
Text
Google / YouTube and brand safety: What’s next?
At the ripe old age of 20, Google is synonymous with internet search. The famous Silicon Valley brand long ago became a verb.
Google Chrome remains the most popular web browser, leading on most mobile and desktop devices with more than 60 percent share across both platforms. It’s four times more popular than rival browsers.
In the U.S. alone, Google raked in about $34 billion in ad dollars tied to its dominant internet search business, per eMarketer.
With all its success and R&D spent to improve its search capabilities, it is surprising what a poor job Google and its core video offering, YouTube, do in two key areas of top importance to advertisers around the globe: search personalization and brand safety.
Just this week, YouTube once again became a shining example of what advertisers are desperately trying to fix: avoiding ad placements next to brand-inappropriate or dangerous content.
Google’s brand safety assurance is not fully baked yet
YouTube’s latest brand-safety debacle was sparked by a 20-minute video that has been viewed nearly 2.5 million times since Sunday.
Blogger Matt Watson said the comments sections on some YouTube posts that featured videos of girls performing things like gymnastics and yoga were being exploited by a “soft-core pedophilia ring.”
The videos were being time-stamped with minors in compromising positions and ads from companies like Disney and Nestle were being served up next to them. Unfortunately, YouTube’s recommendation engine was collecting and serving up more similar videos with associated ads being viewed and interacted with by pedophiles.
The outrage and furor over Watson’s discovery has caused major advertisers like AT&T, Disney, Epic Games and Nestle to pull advertising from YouTube as a result.
In response, earlier this week, YouTube has removed more than 400 channels amidst its latest child exploitation crisis.
However, significant brand damage and revenue loss for YouTube has been inflicted. A lack of faith in Google’s search algorithms and its brand-safety assurance is in the spotlight again following similar incidents that have occurred since 2017.
Brand safety concerns on YouTube
Following these well-publicized crises like YouTube’s most recent one, advertisers have grown increasingly concerned about ads appearing in brand-safe environments, especially on social-media platforms such as Google’s YouTube and Facebook.
A survey of more than 300 advertising decision-makers conducted by Oath, a Verizon company, last spring found that 99 percent of advertisers are concerned with their ads appearing in brand-safe environments. And 58 percent of them were more concerned than previous year.
A more recent study conducted by Teads found that “brand safety is keeping CMOs up at night.” Eight in 10 said that they’re more concerned with avoiding placement of ads next to brand-inappropriate content than ever before. It’s an issue that’s weighing heavily on the global digital ad industry that is now valued at more than $628 billion.
Ad platforms’ responses to protect brands
In response to advertisers’ concerns, major ad platforms have been adding more safeguards to avoid embarrassing and ineffective ad placements next to inappropriate content.
For example, Facebook rolled out new capabilities to exclude advertisements from predetermined categories such as conflict, gambling, guns, immigration, religion and tragedy. Google Ads offers some limiting functionality, but it is not as granular as what Facebook offers advertisers today.
Last month, new third-party software solutions from Integral Ad Science (IAS) and DoubleVerify were released to give YouTube advertisers more assurance that their video ads will appear next to brand-suitable content. This type of software is designed to reduce incidents of ads from tech giants, retailers, government agencies and media companies running alongside YouTube channels promoting controversial topics such as conspiracy theories, Nazis, North Korean propaganda and white nationalists, a trend reported on by CNN last April.
Tech giants like Google turn to artificial intelligence to improve ad effectiveness
The new software from IAS and DoubleVerify to improve brand-safety assurance on YouTube incorporates machine learning to create models for determining ad appropriateness.
Similarly, last year, Google launched new features with machine-learning technology – including a new service called AdSense auto ads that helps publishers improve monetization and ad placement. Google claims the relatively new feature ensures that ads will be displayed when they’re likely to perform and provide a good user experience.
Publishers who participated in the beta saw and average lift of 10 percent with revenue increasing ranging between five to 15 percent.
However, the personalization capabilities from Google to improve ad efficiency are not as good as they should be for publishers or advertisers.
How does current Google Ads personalization stack up?
As an example for the latter, I’ll cite a story about a good friend’s recent experience with Google Ads. A small business owner, he runs a local plumbing business in Milwaukee. He spent hundreds of dollars on an ad campaign a few months back to increase incoming business leads using Google Ads.
Google’s auto-generated keywords for the campaign it scraped from his landing page were not relevant, especially in terms of geo-targeting for a local plumbing business. His website traffic went way up, but he did not gain one qualified sales lead as a result of the campaign. It was a dismal failure for him.
How much will deep learning improve it?
Many industry experts view deep learning as the Holy Grail for “changing the game for both advertisers and consumers.” According to a ClickZ story by Daniel Surmacz: “Deep learning is changing the way we think about effectiveness. It’s the most promising field of AI-based research found in Google Translate and Tesla self-driving cars.”
Without an ability for machine learning AI-powered platforms to “think on their feet” like human neural networks, many don’t have the same speed and efficiency-drivers that deep learning provides. It’s simply not possible for machine-learning AI engines to act like personal shoppers and cross-sell relevant items to consumers without deep learning’s more highly advanced algorithms.
Unless Google improves its personalization and brand-safety capabilities, it stands to lose more market share to others, most notably Amazon.
The share of new ad dollars has been on the decline for the longtime duopoly of Google and Facebook compared to two years ago. Amazon, a master of personalization and controller of its own walled garden, has emerged as a search advertising powerhouse and it’s on track to generate more than $10 billion in ad revenues over the next year.
Gary Burtka is vice president of US operations at RTB House, a global company that provides retargeting technology for global brands worldwide. Its North American headquarters are based in New York City.
The post Google / YouTube and brand safety: What’s next? appeared first on Search Engine Watch.
from Digtal Marketing News https://searchenginewatch.com/2019/02/22/google-youtube-and-brand-safety-whats-next/
0 notes
evaaguilaus · 6 years
Text
Google / YouTube and brand safety: What’s next?
At the ripe old age of 20, Google is synonymous with internet search. The famous Silicon Valley brand long ago became a verb.
Google Chrome remains the most popular web browser, leading on most mobile and desktop devices with more than 60 percent share across both platforms. It’s four times more popular than rival browsers.
In the U.S. alone, Google raked in about $34 billion in ad dollars tied to its dominant internet search business, per eMarketer.
With all its success and R&D spent to improve its search capabilities, it is surprising what a poor job Google and its core video offering, YouTube, do in two key areas of top importance to advertisers around the globe: search personalization and brand safety.
Just this week, YouTube once again became a shining example of what advertisers are desperately trying to fix: avoiding ad placements next to brand-inappropriate or dangerous content.
Google’s brand safety assurance is not fully baked yet
YouTube’s latest brand-safety debacle was sparked by a 20-minute video that has been viewed nearly 2.5 million times since Sunday.
Blogger Matt Watson said the comments sections on some YouTube posts that featured videos of girls performing things like gymnastics and yoga were being exploited by a “soft-core pedophilia ring.”
The videos were being time-stamped with minors in compromising positions and ads from companies like Disney and Nestle were being served up next to them. Unfortunately, YouTube’s recommendation engine was collecting and serving up more similar videos with associated ads being viewed and interacted with by pedophiles.
The outrage and furor over Watson’s discovery has caused major advertisers like AT&T, Disney, Epic Games and Nestle to pull advertising from YouTube as a result.
In response, earlier this week, YouTube has removed more than 400 channels amidst its latest child exploitation crisis.
However, significant brand damage and revenue loss for YouTube has been inflicted. A lack of faith in Google’s search algorithms and its brand-safety assurance is in the spotlight again following similar incidents that have occurred since 2017.
Brand safety concerns on YouTube
Following these well-publicized crises like YouTube’s most recent one, advertisers have grown increasingly concerned about ads appearing in brand-safe environments, especially on social-media platforms such as Google’s YouTube and Facebook.
A survey of more than 300 advertising decision-makers conducted by Oath, a Verizon company, last spring found that 99 percent of advertisers are concerned with their ads appearing in brand-safe environments. And 58 percent of them were more concerned than previous year.
A more recent study conducted by Teads found that “brand safety is keeping CMOs up at night.” Eight in 10 said that they’re more concerned with avoiding placement of ads next to brand-inappropriate content than ever before. It’s an issue that’s weighing heavily on the global digital ad industry that is now valued at more than $628 billion.
Ad platforms’ responses to protect brands
In response to advertisers’ concerns, major ad platforms have been adding more safeguards to avoid embarrassing and ineffective ad placements next to inappropriate content.
For example, Facebook rolled out new capabilities to exclude advertisements from predetermined categories such as conflict, gambling, guns, immigration, religion and tragedy. Google Ads offers some limiting functionality, but it is not as granular as what Facebook offers advertisers today.
Last month, new third-party software solutions from Integral Ad Science (IAS) and DoubleVerify were released to give YouTube advertisers more assurance that their video ads will appear next to brand-suitable content. This type of software is designed to reduce incidents of ads from tech giants, retailers, government agencies and media companies running alongside YouTube channels promoting controversial topics such as conspiracy theories, Nazis, North Korean propaganda and white nationalists, a trend reported on by CNN last April.
Tech giants like Google turn to artificial intelligence to improve ad effectiveness
The new software from IAS and DoubleVerify to improve brand-safety assurance on YouTube incorporates machine learning to create models for determining ad appropriateness.
Similarly, last year, Google launched new features with machine-learning technology – including a new service called AdSense auto ads that helps publishers improve monetization and ad placement. Google claims the relatively new feature ensures that ads will be displayed when they’re likely to perform and provide a good user experience.
Publishers who participated in the beta saw and average lift of 10 percent with revenue increasing ranging between five to 15 percent.
However, the personalization capabilities from Google to improve ad efficiency are not as good as they should be for publishers or advertisers.
How does current Google Ads personalization stack up?
As an example for the latter, I’ll cite a story about a good friend’s recent experience with Google Ads. A small business owner, he runs a local plumbing business in Milwaukee. He spent hundreds of dollars on an ad campaign a few months back to increase incoming business leads using Google Ads.
Google’s auto-generated keywords for the campaign it scraped from his landing page were not relevant, especially in terms of geo-targeting for a local plumbing business. His website traffic went way up, but he did not gain one qualified sales lead as a result of the campaign. It was a dismal failure for him.
How much will deep learning improve it?
Many industry experts view deep learning as the Holy Grail for “changing the game for both advertisers and consumers.” According to a ClickZ story by Daniel Surmacz: “Deep learning is changing the way we think about effectiveness. It’s the most promising field of AI-based research found in Google Translate and Tesla self-driving cars.”
Without an ability for machine learning AI-powered platforms to “think on their feet” like human neural networks, many don’t have the same speed and efficiency-drivers that deep learning provides. It’s simply not possible for machine-learning AI engines to act like personal shoppers and cross-sell relevant items to consumers without deep learning’s more highly advanced algorithms.
Unless Google improves its personalization and brand-safety capabilities, it stands to lose more market share to others, most notably Amazon.
The share of new ad dollars has been on the decline for the longtime duopoly of Google and Facebook compared to two years ago. Amazon, a master of personalization and controller of its own walled garden, has emerged as a search advertising powerhouse and it’s on track to generate more than $10 billion in ad revenues over the next year.
Gary Burtka is vice president of US operations at RTB House, a global company that provides retargeting technology for global brands worldwide. Its North American headquarters are based in New York City.
The post Google / YouTube and brand safety: What’s next? appeared first on Search Engine Watch.
from Digtal Marketing News https://searchenginewatch.com/2019/02/22/google-youtube-and-brand-safety-whats-next/
0 notes
oscarkruegerus · 6 years
Text
Google / YouTube and brand safety: What’s next?
At the ripe old age of 20, Google is synonymous with internet search. The famous Silicon Valley brand long ago became a verb.
Google Chrome remains the most popular web browser, leading on most mobile and desktop devices with more than 60 percent share across both platforms. It’s four times more popular than rival browsers.
In the U.S. alone, Google raked in about $34 billion in ad dollars tied to its dominant internet search business, per eMarketer.
With all its success and R&D spent to improve its search capabilities, it is surprising what a poor job Google and its core video offering, YouTube, do in two key areas of top importance to advertisers around the globe: search personalization and brand safety.
Just this week, YouTube once again became a shining example of what advertisers are desperately trying to fix: avoiding ad placements next to brand-inappropriate or dangerous content.
Google’s brand safety assurance is not fully baked yet
YouTube’s latest brand-safety debacle was sparked by a 20-minute video that has been viewed nearly 2.5 million times since Sunday.
Blogger Matt Watson said the comments sections on some YouTube posts that featured videos of girls performing things like gymnastics and yoga were being exploited by a “soft-core pedophilia ring.”
The videos were being time-stamped with minors in compromising positions and ads from companies like Disney and Nestle were being served up next to them. Unfortunately, YouTube’s recommendation engine was collecting and serving up more similar videos with associated ads being viewed and interacted with by pedophiles.
The outrage and furor over Watson’s discovery has caused major advertisers like AT&T, Disney, Epic Games and Nestle to pull advertising from YouTube as a result.
In response, earlier this week, YouTube has removed more than 400 channels amidst its latest child exploitation crisis.
However, significant brand damage and revenue loss for YouTube has been inflicted. A lack of faith in Google’s search algorithms and its brand-safety assurance is in the spotlight again following similar incidents that have occurred since 2017.
Brand safety concerns on YouTube
Following these well-publicized crises like YouTube’s most recent one, advertisers have grown increasingly concerned about ads appearing in brand-safe environments, especially on social-media platforms such as Google’s YouTube and Facebook.
A survey of more than 300 advertising decision-makers conducted by Oath, a Verizon company, last spring found that 99 percent of advertisers are concerned with their ads appearing in brand-safe environments. And 58 percent of them were more concerned than previous year.
A more recent study conducted by Teads found that “brand safety is keeping CMOs up at night.” Eight in 10 said that they’re more concerned with avoiding placement of ads next to brand-inappropriate content than ever before. It’s an issue that’s weighing heavily on the global digital ad industry that is now valued at more than $628 billion.
Ad platforms’ responses to protect brands
In response to advertisers’ concerns, major ad platforms have been adding more safeguards to avoid embarrassing and ineffective ad placements next to inappropriate content.
For example, Facebook rolled out new capabilities to exclude advertisements from predetermined categories such as conflict, gambling, guns, immigration, religion and tragedy. Google Ads offers some limiting functionality, but it is not as granular as what Facebook offers advertisers today.
Last month, new third-party software solutions from Integral Ad Science (IAS) and DoubleVerify were released to give YouTube advertisers more assurance that their video ads will appear next to brand-suitable content. This type of software is designed to reduce incidents of ads from tech giants, retailers, government agencies and media companies running alongside YouTube channels promoting controversial topics such as conspiracy theories, Nazis, North Korean propaganda and white nationalists, a trend reported on by CNN last April.
Tech giants like Google turn to artificial intelligence to improve ad effectiveness
The new software from IAS and DoubleVerify to improve brand-safety assurance on YouTube incorporates machine learning to create models for determining ad appropriateness.
Similarly, last year, Google launched new features with machine-learning technology – including a new service called AdSense auto ads that helps publishers improve monetization and ad placement. Google claims the relatively new feature ensures that ads will be displayed when they’re likely to perform and provide a good user experience.
Publishers who participated in the beta saw and average lift of 10 percent with revenue increasing ranging between five to 15 percent.
However, the personalization capabilities from Google to improve ad efficiency are not as good as they should be for publishers or advertisers.
How does current Google Ads personalization stack up?
As an example for the latter, I’ll cite a story about a good friend’s recent experience with Google Ads. A small business owner, he runs a local plumbing business in Milwaukee. He spent hundreds of dollars on an ad campaign a few months back to increase incoming business leads using Google Ads.
Google’s auto-generated keywords for the campaign it scraped from his landing page were not relevant, especially in terms of geo-targeting for a local plumbing business. His website traffic went way up, but he did not gain one qualified sales lead as a result of the campaign. It was a dismal failure for him.
How much will deep learning improve it?
Many industry experts view deep learning as the Holy Grail for “changing the game for both advertisers and consumers.” According to a ClickZ story by Daniel Surmacz: “Deep learning is changing the way we think about effectiveness. It’s the most promising field of AI-based research found in Google Translate and Tesla self-driving cars.”
Without an ability for machine learning AI-powered platforms to “think on their feet” like human neural networks, many don’t have the same speed and efficiency-drivers that deep learning provides. It’s simply not possible for machine-learning AI engines to act like personal shoppers and cross-sell relevant items to consumers without deep learning’s more highly advanced algorithms.
Unless Google improves its personalization and brand-safety capabilities, it stands to lose more market share to others, most notably Amazon.
The share of new ad dollars has been on the decline for the longtime duopoly of Google and Facebook compared to two years ago. Amazon, a master of personalization and controller of its own walled garden, has emerged as a search advertising powerhouse and it’s on track to generate more than $10 billion in ad revenues over the next year.
Gary Burtka is vice president of US operations at RTB House, a global company that provides retargeting technology for global brands worldwide. Its North American headquarters are based in New York City.
The post Google / YouTube and brand safety: What’s next? appeared first on Search Engine Watch.
from Digtal Marketing News https://searchenginewatch.com/2019/02/22/google-youtube-and-brand-safety-whats-next/
0 notes
sheilalmartinia · 6 years
Text
Google / YouTube and brand safety: What’s next?
At the ripe old age of 20, Google is synonymous with internet search. The famous Silicon Valley brand long ago became a verb.
Google Chrome remains the most popular web browser, leading on most mobile and desktop devices with more than 60 percent share across both platforms. It’s four times more popular than rival browsers.
In the U.S. alone, Google raked in about $34 billion in ad dollars tied to its dominant internet search business, per eMarketer.
With all its success and R&D spent to improve its search capabilities, it is surprising what a poor job Google and its core video offering, YouTube, do in two key areas of top importance to advertisers around the globe: search personalization and brand safety.
Just this week, YouTube once again became a shining example of what advertisers are desperately trying to fix: avoiding ad placements next to brand-inappropriate or dangerous content.
Google’s brand safety assurance is not fully baked yet
YouTube’s latest brand-safety debacle was sparked by a 20-minute video that has been viewed nearly 2.5 million times since Sunday.
Blogger Matt Watson said the comments sections on some YouTube posts that featured videos of girls performing things like gymnastics and yoga were being exploited by a “soft-core pedophilia ring.”
The videos were being time-stamped with minors in compromising positions and ads from companies like Disney and Nestle were being served up next to them. Unfortunately, YouTube’s recommendation engine was collecting and serving up more similar videos with associated ads being viewed and interacted with by pedophiles.
The outrage and furor over Watson’s discovery has caused major advertisers like AT&T, Disney, Epic Games and Nestle to pull advertising from YouTube as a result.
In response, earlier this week, YouTube has removed more than 400 channels amidst its latest child exploitation crisis.
However, significant brand damage and revenue loss for YouTube has been inflicted. A lack of faith in Google’s search algorithms and its brand-safety assurance is in the spotlight again following similar incidents that have occurred since 2017.
Brand safety concerns on YouTube
Following these well-publicized crises like YouTube’s most recent one, advertisers have grown increasingly concerned about ads appearing in brand-safe environments, especially on social-media platforms such as Google’s YouTube and Facebook.
A survey of more than 300 advertising decision-makers conducted by Oath, a Verizon company, last spring found that 99 percent of advertisers are concerned with their ads appearing in brand-safe environments. And 58 percent of them were more concerned than previous year.
A more recent study conducted by Teads found that “brand safety is keeping CMOs up at night.” Eight in 10 said that they’re more concerned with avoiding placement of ads next to brand-inappropriate content than ever before. It’s an issue that’s weighing heavily on the global digital ad industry that is now valued at more than $628 billion.
Ad platforms’ responses to protect brands
In response to advertisers’ concerns, major ad platforms have been adding more safeguards to avoid embarrassing and ineffective ad placements next to inappropriate content.
For example, Facebook rolled out new capabilities to exclude advertisements from predetermined categories such as conflict, gambling, guns, immigration, religion and tragedy. Google Ads offers some limiting functionality, but it is not as granular as what Facebook offers advertisers today.
Last month, new third-party software solutions from Integral Ad Science (IAS) and DoubleVerify were released to give YouTube advertisers more assurance that their video ads will appear next to brand-suitable content. This type of software is designed to reduce incidents of ads from tech giants, retailers, government agencies and media companies running alongside YouTube channels promoting controversial topics such as conspiracy theories, Nazis, North Korean propaganda and white nationalists, a trend reported on by CNN last April.
Tech giants like Google turn to artificial intelligence to improve ad effectiveness
The new software from IAS and DoubleVerify to improve brand-safety assurance on YouTube incorporates machine learning to create models for determining ad appropriateness.
Similarly, last year, Google launched new features with machine-learning technology – including a new service called AdSense auto ads that helps publishers improve monetization and ad placement. Google claims the relatively new feature ensures that ads will be displayed when they’re likely to perform and provide a good user experience.
Publishers who participated in the beta saw and average lift of 10 percent with revenue increasing ranging between five to 15 percent.
However, the personalization capabilities from Google to improve ad efficiency are not as good as they should be for publishers or advertisers.
How does current Google Ads personalization stack up?
As an example for the latter, I’ll cite a story about a good friend’s recent experience with Google Ads. A small business owner, he runs a local plumbing business in Milwaukee. He spent hundreds of dollars on an ad campaign a few months back to increase incoming business leads using Google Ads.
Google’s auto-generated keywords for the campaign it scraped from his landing page were not relevant, especially in terms of geo-targeting for a local plumbing business. His website traffic went way up, but he did not gain one qualified sales lead as a result of the campaign. It was a dismal failure for him.
How much will deep learning improve it?
Many industry experts view deep learning as the Holy Grail for “changing the game for both advertisers and consumers.” According to a ClickZ story by Daniel Surmacz: “Deep learning is changing the way we think about effectiveness. It’s the most promising field of AI-based research found in Google Translate and Tesla self-driving cars.”
Without an ability for machine learning AI-powered platforms to “think on their feet” like human neural networks, many don’t have the same speed and efficiency-drivers that deep learning provides. It’s simply not possible for machine-learning AI engines to act like personal shoppers and cross-sell relevant items to consumers without deep learning’s more highly advanced algorithms.
Unless Google improves its personalization and brand-safety capabilities, it stands to lose more market share to others, most notably Amazon.
The share of new ad dollars has been on the decline for the longtime duopoly of Google and Facebook compared to two years ago. Amazon, a master of personalization and controller of its own walled garden, has emerged as a search advertising powerhouse and it’s on track to generate more than $10 billion in ad revenues over the next year.
Gary Burtka is vice president of US operations at RTB House, a global company that provides retargeting technology for global brands worldwide. Its North American headquarters are based in New York City.
The post Google / YouTube and brand safety: What’s next? appeared first on Search Engine Watch.
from Search Engine Watch https://searchenginewatch.com/2019/02/22/google-youtube-and-brand-safety-whats-next/
0 notes
cheapshop247 · 7 years
Text
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20+ Red-Hot Start-Ups to Launch in 2017
Copyright: ra2studio / 123RF Stock Photo
1. Chimney Sweeper: Launching a chimney sweeping company is easily accomplished by searching out a mentor who already has a successful business running, and attaining an apprenticeship to learn the skills of the trade. To maximize income potential, entrepreneurs can become a chimney expert and have a dual chimney sweep/inspection business, offering both assessments to make sure the chimney is functional, and a deep cleaning at the same time.
2. Dog Breeder: There is no denying the high demand for dogs with online sites catered to spotting adorable pooches, and frequent social media posts shared of cute puppy videos. Though society rightfully encourages adoption from animal shelters, many people still wish to track down a particular breed. Dog breeders must nurture the puppies bred, take great care of them, and make sure each and every puppy is sold into a loving, respectable home.
Low-Cost Home-Based Businesses – Visit the Home Biz Mag EXPO
3. Electronic Repair Specialist: Along with computer/laptop repair, electronic repair specialists offer services to fix phones, televisions, video game platforms, microwaves, alarm clocks — the list is endless. Specialists can request customers to drive to them for smaller repair requests. Many local customers will be willing to make the effort for good service. To practice the trade, a search on Craigslist can drum up older electronic equipment to work on.
4. Event Planner: To jump-start an event planning business, aspiring business owners can study the prime locations in their city and neighboring cities to determine quality venues. By creating a spreadsheet that has detailed notes on the layout, parking availability, spaciousness, maximum number of people allotted for the venue, furniture present (chairs and tables), and the aesthetic appeal, clients will feel reassured that the venue chosen will be sufficient for their special event.
5. Flea Market Salesperson: Many people enjoy browsing through flea markets to peruse others’ tossed away items. Entrepreneurs can stop by thrift stores early every morning to snag quality finds and sell them at a slightly higher price. Switching it up every weekend and bringing out new items attracts repeat customers. A bowl of wrapped chocolates set on the display table draws people in, as well as a warm smile and a sociable personality.
6. Import/Export Specialist: Watching tutorials online can self-educate entrepreneurs on becoming an import/export specialist. Once confident in their knowledge and abilities, they can offer paid meetups to train others on the fundamentals of the industry. Traveling to nearby cities and leading helpful seminars can draw in loyal clients. Following each event, specialists are encouraged to reach out to attendees to solidify connections.
7. Solar Energy Consultant: This job is ideal for those who prefer an active and analytical job, as solar energy consultants offer inspections of clients’ homes and advise on the solar options homeowners can utilize. A great way people become solar energy consultants is by working directly in a solar products company or taking a part-time internship prior to launching the business, to have a greater knowledge of the solar energy field.
8. Upholstering Specialist: Sewing enthusiasts can start an upholstering business. Online videos and books can be studied to pick up the profession. Old upholstered furniture sold online or in thrift shops offer easy training — ripping the furniture apart and practicing the proper way to sew it up. Upholstering specialists have an additional income opportunity by making referrals to furniture repair specialists or personally taking care of minor repairs.
9. Used Book Salesperson: Many individuals wish to own books but cannot afford brand new copies. Successful book shop owners offer consistent hours, a clean location, organized racks, and a wide variety of genres. A locked donation box placed outside can encourage people to drop off their used books to re-sell. Investing in special first-edition copies, setting up a book exchange program, and selling snacks and beverages draws customers in to browse.
10. Herb Vendor: Aspiring business owners who have a garden and a knowledge and passion for the different types of herbs can market their products to everyday cooks, chefs, and gardeners. Herbs are sold in various forms: cut and placed in packages, as live plants, and dried for immediate use. Herb salespeople can set up a website for customers to order their own specific combination of herbs to be picked up at a later date or delivered.
11. Grant Writer: Professional writing skills are required for grand writers. The prime connection between a grant seeker (often nonprofit organizations) and a funder, the job can be accomplished as an independent contractor, as a full- or part-time development officer, and on a freelance basis. Various categories grant writers can apply for range from general operating grants, restricted grants, challenge grants, project grants, startup funding, and matching grants.
12. Online Course Teacher: Many people prefer to study in the comfort of their home to avoid a commute, and these individuals specifically search for online experts in their field of interest. Entrepreneurs proficient in a specific subject can educate the Internet community by setting up a webinar or online class, and charging a fee for admission. The course can include PowerPoint presentations, infographics, “how-to” videos, and live one-on-one discussions.
13. Instagram Marketer: Itis possible to transform a photo-sharing app into a profitable income tool. Brands are always looking for the next hot Instagram star to be a spokesperson for their product, or include subtle product placements in their photos and videos. A major current popular category is health and fitness, with fit models making nutritious smoothies and wearing cute workout gear. Instagram marketers can charge companies thousands of dollars per post.
14. Podcaster: Becoming a podcaster is an ideal home business venture for opinionated people, as they are paid to speak at length about topics they most enjoy. Every podcaster starts off with few followers (unless they are a well-known figure) and persistence is key for success. Podcasters can charge $50-$300 or more per 30-second advertisement on their show, which adds up if there are even three ads per podcast.
15. Amazon Reseller: Sifting through old boxes stacked in a garage can lead to valuable discoveries. Hordes of people online are always searching for vintage items and the odd knickknack to display in their home. Garage sales are a source for locating sellable items. Researching the original value and offering a legitimate price for a used item, and including thorough details about the product, will set up Amazon resellers for success.
16. Landing Page Specialist: Writers with a skill for website design can target a specific niche market: designing landing pages for individuals, small businesses, or large companies. Landing page specialists can study search engine optimization tips to make it optimized and keyword friendly. This job has the potential for generating hundreds to thousands of dollars of revenue, depending on how complex the landing pages are.
17. Online Dating Consultant: Though online dating sites presumably ease the stresses of the dating game, many still have difficulties making strong conversation or presenting themselves successfully to lock down a date. Sociable entrepreneurs can get paid to match users together and coach individuals specifically on online dating etiquette. People with social anxiety will be happy to hire a consultant to lead them into a happy relationship.
18. Website Copywriter: People with strong reading comprehension and writing skills, and an ability to put together information into readable content can become copywriters for websites. A way to gain clients and credibility is to build up a writing portfolio, and unpaid work for companies of authority is a good place to start. This position can offer a great supplemental income, and has the potential of becoming a full-time job over time.
19. Meditation/Yoga Instructor: Health-conscious people can turn their passion into profit, and teach others how to live a fulfilled and balanced life through the practices of yoga and meditation. Participating in a class with expert yogis will help develop skills, and there are specialized training courses available to gain certifications.
20. Customer Service Contractor: Computer-savvy individuals with customer service experience have the opportunity to work from home and assist companies with their clerical and customer service tasks. Having knowledge of QuickBooks, Excel, Word, and Outlook will help entrepreneurs get hired. The site Upwork offers many freelancing gigs for customer service contractors, and setting up a personal website is a solid way to get noticed by businesses.
21. Pet Groomer: Pet lovers with a passion for animal care can become freelance pet groomers. To become a credible pet groomer, a license may be necessary, general training is required, and he or she must invest in products. A pet groomer can make solid income on a part-time basis, and depending on the demand and ability to commute, can reach many customers and grow their business into a larger income.
22. Antique Refurbisher: There will always be a demand for antique products, and many people need their valuables fixed up after years of wear and tear. Thrift shops sometimes sell antiques for lower than their worth, and entrepreneurs can purchase them to sharpen up their refurbishing skills. The job will require a workshop, the proper treatments and tools, and a love for rare treasures.
Take charge of 2017 and launch one of these freelancing gigs or home-based businesses, and become your own boss. Turn passions into profit, and find a career best suited for your personality and goals. For additional information on starting a home-based business, visit http://ift.tt/1WOojAJ.
The post 20+ Red-Hot Start-Ups to Launch in 2017 appeared first on Home Business Magazine.
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