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2019 Trends: Targeted Advertising, Machine Learning and Artificial Intelligence

InMobi

In terms of improving the overall effectiveness of targeted advertising, machine learning (ML) and artificial intelligence (AI) hold a lot of promise. Note: This is the fifth post in our series on top trends for 2019. For starters, AI can go a long way towards ensuring that ad creatives are the right fit for any target audience.

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Ad Blocking Will Be a $54b Publisher Problem in 2024

Ad Monsters

Ad blocking is on the rise again, set to cause $54 billion in ad revenue losses worldwide. More users are opting into Acceptable Ads and AI and machine learning will make ad filtering more effective. Could it be that it’s time to reassess what audiences consider intrusive or annoying ad experiences?

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Mobile Ad Fraud in 2020: Tracking the Evolution of Trust and Transparency in In-App Advertising

InMobi

Mobile ad fraud has long been a major concern with everyone in the in-app advertising space, siphoning away budgets, reducing campaign effectiveness and making the entire ecosystem less trustworthy. But, issues around ad fraud have not gone unheeded. In 2019, marketers lost an estimated $13 billion to app install fraud.

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2019 Trends: Cross-Device Attribution and Multi-Touch Attribution Marketing

InMobi

Is 2019 the year that cross-device attribution and multi-touch attribution marketing become the norm in mobile in-app marketing efforts? Note: This is the sixth and final post in our series on top trends for 2019. Previous entries covered transparency , OTT , in-app header bidding , data and machine learning.

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5 Facebook Ads Trends You Can’t Ignore in 2020

Single Grain

As Statista shows, this year alone has seen no growth: A study of 200 marketers spending $100K on Facebook during October 2019 shows that: CPMs on Facebook have grown 90% YoY for marketers, and that number only continues to grow. That concern is exacerbated since 42% of marketers are spending more in 2019 than 2018.

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6 Google Ads Trends You Can’t Ignore in 2020

Single Grain

Google's definition is: Smart Bidding is a subset of automated bid strategies that use machine learning to optimize for conversions or conversion value in each and every auction — a feature known as ‘auction-time bidding.’. Simply put, it takes the guesswork out of bidding for Google Ads. Trend #3: Google Gallery Ads.

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Why Audience Segments Are the New Currency in Mobile Advertising

InMobi

Originally published on Mobile Marketer In the age of data-driven digital and mobile marketing, where mobile ad spend is forecast to account for 72 percent of United States digital ad spend by 2019, we are at a critical inflection point of changing the mobile advertising currency from impressions to audience segments.