Tag: Recommendation Ads (page 2 of 5)

Machine Learning Team Goes NIPs (Part I)

Just recently, the plista Machine Learning Team attended the highly-coveted Neural Information Processing Systems (NIPS) 2016 Conference in Barcelona in quest of the latest technologies and projects within machine learning and computational neuroscience. This 30th annual conference with more than 5000 attendees included invited talks, symposia and presentations from a selection of sought-after papers from machine learning experts.

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Native Programmatic Advertising for the Proactive Advertiser

Programmatic advertising has been a hot topic in the digital marketing industry for the past few years. It has been rapidly growing, principally within the U.S. Now expanding globally, going programmatic has tapped into various pools of advertisers and publishers. The global device usage has changed, particularly with mobile displays taking over the desktop. Today, we will have a look on why implementing native programmatic advertising  is useful from an advertiser’s perspective.

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Why In-Feed Ads Improve Your Performance

There are many different ad formats for your advertising message. Each has its own advantages and meets a certain need. Today we want to talk about a format that is sometimes underestimated but is actually very effective: the In-Feed Ad.

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Native Advertising vs. Content Marketing – Where Is the Difference?

In Online Marketing the terms native advertising and content marketing often get interchanged. But they describe different marketing approaches. To erase established uncertainties, let’s start with a definition by outlining some of the key differences.

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Semantic vs. Behavioral Targeting: What is Best?

The right targeting is an indispensable component of native advertising. It is a type of online marketing that is aligned to a certain audience. It is placed in a way that the advertisement is only shown to that particular user group. Contextual text advertising enables a reduction of scattering losses while doing online advertisement.

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Welcome to plista Technology, a Space for IT and Development

This section is meant to collect some of our experiences in working with a variety of technologies everyday. Therefore, when approaching very cutting-edge systems, it often leads us to go for custom solutions, which is a real pity to not share. Our goal is to share some tips and knowledge that is specifically all about the latest tech from our plista technology department. Specifically, we want to share our plista tech solutions.

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Infographic: 14 Quick Wins for Your Article Page Optimization

Publishers are facing many challenges today. Banner blindness and the increasing number of ad blockers make it difficult to successfully reach target groups. Offering great content and monetizing it at the same time, is one of the biggest goals to achieve.

In order to be successful, the constant optimization of article pages is necessary. In the infographic below we have put together insights on how to build up your article page to keep user’s attention.

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4 Learnings from Online Marketing Rockstars Festival 2017

One week ago, the Online Marketing Rockstars Festival 2017 took place in Hamburg. It is one of the biggest events within the German digital marketing industry. Obviously, plista was also part of the conference to gather deeper insights on current developments, and participated at the content marketing panel to share our point of view.

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2016 Recap by plista – 3 Key Messages to Share

The year 2016 at plista is coming to an end. But before getting to holidays and saying goodbye to the year we want to look back to the past 12 months with a 2016 recap by plista.

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Survey: Advertising Effect of Native RecommendationAds

In times of banner blindness, ad blockers and decreasing effectiveness of display advertising, it is hard to reach the user’s attention. plista conducted a survey in collaboration with eye square to prove the advertising effect of plista Native RecommendationAds. The survey included an Online In-Context-Testing with live-ad replacement, webcam eye tracking and subsequent questionnaire about the advertising effect.

Read about the key findings in the following:

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