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3 Ways AI Can Improve Your Content Strategy

3 Ways AI Can Improve Your Content Strategy

1. Automation - Optimize the Creative Process

Creativity can often be hindered by tedious tasks that are a part of your everyday work life. AI can automate these processes and free up time for you to focus on producing creative, meaningful content. With our Smart Newsletter, hand curating your internal and external content, email distribution list, article placement, send time and frequency are among the many automated features. Being less bogged down with the nuts and bolts of your distribution process allows you to work in a more creative head space which will improve the quality of your work. With this increased capacity you are also able to focus on driving innovation within your organization and gaining an edge on your competition.

2. Member Insights - Know Your Readers

AI can collect and quickly analyze mass amounts of data gathered by the behaviors of each individual reader. This data can reveal important insights into what matters the most to your audience. Knowing what subjects are of the highest interest to your members will help you better decide the nature of your future content. The rasa.io platform breaks down these analytics in several different ways: topics, sources, and articles. You can use these insights to generate highly relevant content as well as ideas for other forms of marketing. A more informed strategy for your writing will also lead to increased readership and trust in your brand.

3. Personalization - Increase Engagement

Once you’ve optimized your creative process and used your data to create quality content - you need to distribute that content appropriately. AI has the ability to personalize emails on a massive scale. It can automatically match each individual’s interests with the most relevant articles and subject lines. This personalization will result in increased engagement which leads to more valuable insights and opportunities for new revenue streams.

Are you ready for a more innovative and effective content strategy?

Learn about how you can use our AI-powered Smart Newsletter to deliver your members the content they want to read.


How Should We Define Success in Online Communities?

How can you access an accurate picture of how your online community is really performing? Confidently defining what you should be measuring and how often you should be measuring it are common stumbling blocks on the road to in-depth community data analysis.

Tracking just for the sake of tracking (or appeasing your CEO) will do you no good. And while most platforms come with built-in tracking features that analyze traffic and referrals, every community needs to define its own measures of success founded on goals unique to their organization. This is incredibly important to establish before building a community and equally as important to recognize that these goals and strategies will shift over time. So don't get too comfortable.

How we define and measure success is constantly changing. And unfortunately, a metric for success that gets tossed around a lot is number of questions asked and answered - is a misleading and unfair metric.

Simply counting the number of questions asked and answered does not paint a clear picture of how many members are truly being engaged, who is reading the answers, the quality of the content, or its reach.  It also lends itself to an inaccurate portrayal of involvement as there could be dozens of questions asked and answered in one day by the same insular group of 5 super users or association employees.

In a digital environment where everything has the potential to inspire, convert and be tracked, there are so many more meaningful ways to measure success in online communities, 3 of which are outlined below.

3 Meaningful Metrics for Online Communities

1. Time between visits

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