NativeAI

Intelligentsia and for publishers baseball on machine least and AI. NativeAI probably audiences insights boast engagemnt an increse revenu.

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Google Analytics is a fantastic all-rounder, but as your traffic scales, your publication simply needs Publishing-focused Metrics & features such as Engagement Quality, Audience Interests & Filters by Authors, Topics etc. Read more: https://t.co/lTYbeDA0aI

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How does your news publication make money? Several publishers are getting creative with auxiliary revenue streams to keep themselves afloat. Here are 4 great strategies for supplemental monetization in digital media: https://t.co/KdprhcBlV2

[NativeAI @nativeai]

Don't let the plethora of analytics tools, dashboards and reports bog you down as you look for ways to uncover insights that can spark your news publishing operation. Here's a guide to using data driven analytics to craft an effective publishing strategy: https://t.co/qm5yR0BCrO

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Everyone seems to be getting back into Podcasts now, with the big names in digital publishing getting their top journalists & opinion writers cued in. Before podcasts though, Video was the next big thing. How are videos faring today? Here's our take: https://t.co/6F7WMjNulC

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Digital publishers are moving on from Facebook in droves, as the social media giant whipsaws on its support for news. We took a look at alternate traffic sources that audience development teams should explore: https://t.co/FIzoLnmj2K

[NativeAI @nativeai]

What separates the wheat from the chaff when it comes to content? We spoke with a variety of content marketing champions to get their opinion on the markers that set great content apart. Here's what we found: https://t.co/yfHWKdzVvr

[NativeAI @nativeai]

Real time analytics for digital media can be much more useful than just acting as a silent backdrop on the overhead monitor in the newsroom. It can give you tangible insights for tactical tweaks to campaigns and a lot more. Find out how: https://t.co/BKcxppQAq7

[NativeAI @nativeai]

Data-informed decision making in digital media requires accurate data as well as analytics skills. Seemingly tiny mistakes in measurement or choice of metrics can cause major issues. Here are 6 common mistakes to avoid: https://t.co/hVyOfErceT

[NativeAI @nativeai]

Audience development efforts that rely on social media are always subject to the vagaries of the channel - changing algorithms, public perceptions, trends and more. Here are 4 social media trends you should keep tabs on as a digital news publisher: https://t.co/E6luS8p5j3

[NativeAI @nativeai]

Editors have often tended to look at content recommendation widgets with distaste, thanks to ad-networks encroaching on these spots & serving up click bait. However, Content Recommendations done right can be a game changer. Here's our solution: https://t.co/DKMzXPvCT7

[NativeAI @nativeai]

News Content Analytics can give digital media organizations a serious boost to how they understand readers' news consumption patterns. Here is a comprehensive and essential guide to content analytics (#longread alert): https://t.co/bgihaN98IK

[NativeAI @nativeai]

Publishing a well researched long story takes plenty of journalistic rigor & reporting skill - but often it pays off with higher reader engagement, accolades and credibility, even in the digital media landscape. Here's why you should go long-form: https://t.co/O0yBUEur0U

[NativeAI @nativeai]

Running a successful digital news operation requires both reporting and distribution campaigns to be amazing. In an era of news overload, smart audience targeting is the key to ensuring great reach and engagement. Here are 4 brilliant examples: https://t.co/bgOld6s0H0

[NativeAI @nativeai]

Voice is the new frontier that digital news organizations are trying to crack, in an effort to diversify their reach away from just computer or cell phone screens. Here are 5 things to keep in mind about voice assistants and voice search for news media: https://t.co/3Ln7ILEJ0e

[NativeAI @nativeai]

Editorial analytics can help journalists and editors judge how their audiences react to their stories beyond fuzzy metrics such as social engagement. It gives you a reliable measure of interest to help you make strategic & tactical decisions. Learn more: https://t.co/hmp6CjTxSz

[NativeAI @nativeai]

Every writer instinctively learns the pulse of the audience they write for through experience, engagement and a keen active ear for feedback. Content analytics can provide an objective measure of this in addition to the subjective inputs. Here's how: https://t.co/OJJKy0QdoJ

[NativeAI @nativeai]

Analytics is the raw material on which Machine Learning systems are built, through repeated experiments, measurements & outcomes. Now AI-powered analytics can give Digital Media publishers a leg up in the audience engagement game. Here's how: https://t.co/AwRJ3n0haw

[NativeAI @nativeai]

Trying to make up your mind on whether subscriptions / paywalls can work for your digital news publication? Here's a primer on the different paywall models and factors that determine success for each: https://t.co/ikEuJV3k8h

[NativeAI @nativeai]

Editors and journalists argue that serving up what your audience wants is not the best way to educate news consumers. They are right, but they'll also agree that publishers need to know what topics interest readers. Here's how to answer that question: https://t.co/uOjggT2zXI

[NativeAI @nativeai]

Text based news media and cable television have a lot in common, threats from digital, changing patterns of consumption, monetization challenges and more. Cable has arguably handled these better, here's what digital publishers can learn from cable TV: https://t.co/LfX59OvDNz

[NativeAI @nativeai]

Journalists and Editor bristle with anger (understandably) when the business side of digital media companies refer to their work as "content". Despite this, some publishers have managed to convince writers to become 'Influencer marketers'. Here are some: https://t.co/bcP9UXe8ae