Zaphne – Content Automation News for 08-04-2018

Content Marketing Software 2018

The ranking serves as a point of reference highlighting key factors that small businesses should look at when assessing a piece of software. An app’s score is calculated using five unique data points, each scored out of 20, giving a total score out of 100. Review scores are calculated using reviews collected from GetApp and its sister sites, Software Advice and Capterra. A weighting is then applied to reward recency of user reviews: reviews written in the last 6 months score up to 10 points, those written between 6 and 12 months ago score up to 6 points, and those more than 12 months old score up to 4 points. Up to 16 points are awarded based on the number of integrations an app has; the first 10 points are awarded based on the number of integrations relative to the category average, while 4 points are awarded based on the number of integrations relative to the leaders in the category. 

An additional 5 points is awarded for an integration with Zapier, a widely used software integration platform, while an extra point is given for having an open API. The total possible score for integrations is 20 points. 5 points are awarded for the presence of each app, with an additional 10 points being awarded for the number and average rating of reviews in both the App Store and Google Play. These review scores are calculated and scaled against the competition for a maximum of 5 points per platform and an overall maximum score of 20. The score is returned out of 100, then scaled to a score out of 5 for a maximum of 5 points. The first 15 points are awarded for the combined number of followers and fans scaled against the category average, while the final 5 points are awarded for the combined number of followers and fans scaled against the top leaders in the category. 

These two scores are added together for a total out of 20 points. With 15 questions, each answer is assigned a point value based on vendor response, with additional points given for security certifications, for a maximum possible score of 20. 

Keywords: [“point”,”score”,”number”]

The Role of Big Data in the Future of B2B Marketing

Marketers with access and an understanding of how to use that data can create a distinct, competitive advantage in their ability to provide relevant offers to the right buyers at the right time. Dealing with data beyond spreadsheets and reporting to actionable insight about customers that enables everything from predictive analytics to truly automated marketing automation are some of the promises of what’s next in content marketing for B2B companies. For more insights into the role of data in the B2B Marketing mix, here are insights and predictions from 3 B2B smarties from some of the top business marketing brands on the web: Marketo, Silverpop and Lattice Engines. The future of B2B marketing will combine a prospect’s social graph, online behavior, content interactions, demographic and firmagraphic information with scoring, predictive analytics and marketing, content and salesforce automation. The analytics engine then will feed the content and marketing automation engine that delivers each content type in the channel the prospect is most likely to engage. 

Predictability is what is next in the world of B2B marketing. Marketers are already able to use sophisticated machine learning and data science techniques to identify which customers are most likely to churn, which prospects are most likely to buy and which products to pitch to existing customers. Marketing automation today is primarily about tracking email and website behaviors, and then running email campaigns based on that behavior. In the future, marketing automation will use big data and analytics to predict the right action to take at any time. In the future, marketing automation will get data from numerous sources, including mobile/location, social streams, and connected devices. 

For more futuristic B2B Marketing insights, there’s a handy eBook for that: Future of B2B Marketing eBook. Inside you’ll find a mix of B2B marketing predictions that range from the practical to those that are so far out there, they’re literally science fiction. 

Keywords: [“Marketers”,”data”,”B2B”]

Artificial Intelligence: How To Avoid Being Automated

Some researchers believe an interconnected, cognitive world of artificial intelligence will lead to the displacement of millions of workers. Disruption isn’t limited to service work and other blue-collar labor. That’s not good news for some white-collar workers, whose jobs will be impacted by AI. Whether those occupations will be redefined-or eliminated-remains to be seen. What is certain is that some activities performed by knowledge workers in the digital labor pool will be automated, requiring a realignment of job roles and responsibilities. 

Automation of routine, repetitive tasks, analysts say, allows workers to spend more time focused on creative tasks that provide value to the company and its customers. It allows companies to invest in highly-skilled, knowledgeable and experienced workers who will use artificial intelligence to augment their work. Thomas Hayes Davenport and Julia Kirby wrote a book loaded with advice for workers who want to ensure they won’t be replaced by technology entitled, Only Humans Need Apply. Learning everything you can about AI-and how it can help you work more efficiently and effectively-is a good first step toward avoiding displacement. Seek out learning opportunities online (there are a wide variety of free, web-based classes covering artificial intelligence-related topics, and lessons shared by professionals, like this on machine learning from the folks at R2D3. 

Stay abreast of best practices being developed now by Partnership on AI and pay attention to what’s happening at the Association for the Advancement of Artificial Intelligence. Keep tabs on the great work from San Francisco-based, OpenAI, a non-profit research firm dedicated to helping us build safe AI systems that are available to everyone. That’s no reason to believe that the future of work is dim. There is no obvious basis for thinking that future technologies will be more harmful to ordinary workers than the technological developments of the prior seventy years. 

Keywords: [“work”,”job”,”automate”]

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