#DigitalCustomerExperience

[altdigitaltechnologies]

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[mycountrymobile]

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[ace-peak-investment]

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[softqubetechnologies]

Buyers’ expectations are always increasing. To deliver a delightful and worth returning digital journey it is important that you offer the best product, services, and relationships that your customer desire.For this, you need tools to deliver, plans to strategize a delightful digital CX, and partners to make this possible.

Click here Visit this blog  to Know about latest trends  and case studies for  digital customer experience.

[nextwealth]

Enchane your digital customer experience acorss your customer's lifecycle

Cutting-edge digital CX services from NextWealth enable companies to engage with their customers across multiple platforms in a more deep-seated and consistent way

[surveycircle]

Tweeted

Participants needed for online survey! Topic: "Digital Customer Experience of Collagen Supplements" https://t.co/Rrykg6suMD via @SurveyCircle #DigitalCustomerExperience #collagen #DigitalTouchPoint #brand #service #survey #surveycircle https://t.co/qemjCI7xEV

— Daily Research @SurveyCircle (@daily_research) Oct 25, 2022

[rekhabarla01]

The more you study neuroscience, the better you’ll understand your customers. Once you get why they behave the way they do, you’ll be better able to fix problems in your processes.

[incight]

5G – Myths vs Realities

Watch this video of cigniti’s blog to learn more about the myths and realities of 5G.

Read more: https://www.cigniti.com/blog/5g-myths-realities/

[vikram739]

Customer Sentiment Analysis Tool | Digital Customer Experience Monitoring

Enhance your CX with Incight, predict digital customer experiences that includes product analysis of pre, post & real-time data.

[intensetechnologies]

Learn how the first telecom company in Oman achieved 15% reduction in customer complaints!

[compunneldigital]

Infographics | How to Overcome 5 Common Pitfalls to Scaling Innovation for successful Digital Transformation

[recosense-blog]

Content Recommendations on Media Websites

“Books/Movies/Shows like XYZ”. How many times have you Googled the above phrase to get suggestions on your next entertainment escapade? Probably often. There is a wealth of content available online, and no matter how many filters you apply, it is impossible to go through them all to find what suits your preferences. So naturally, we turn to friends, colleagues, or even technology for content recommendations.

They know what we have liked so far, so they can tell what we might like next!

What Are Recommender Systems?

A recommender system, or a recommendation engine, is an algorithm based on cutting-edge technology such as Artificial Intelligence (particularly Machine Learning), which utilizes Big Data and customer behavior to make relevant and customized recommendations. These suggestions could be based on factors like past viewership/readership, demographic information, and search history.

Typically, recommender systems operate on the following models:

Collaborative Filtering

Content-based Filtering

Demographic-based Filtering

Utility-based Filtering

Knowledge-based Filtering

Hybrid Filtering

Why Should Media Websites Invest in Content Recommender Systems?

On the surface, the role of content-based recommendation systems is obvious: to narrow down the selection pool and enhance the digital customer experience. Naturally, tailored content would birth better engagement (think of all the hours one spends binge-watching Netflix!)

However, it also adds more value to your media website in the following ways:

Better Retention: As consumers get to explore content that interests them, they are more likely to explore your collection rather than opt for your competitor.

Enhanced Engagement: As the media website continues to make relevant recommendations, it becomes easier to target them with fresh or recirculated content.

Build Loyalty: Customers appreciate businesses that value their time. Through relevant content recommendations, you save them from a long-drawn search process and cut right to what truly matters – content consumption.

Increase Sales: For media websites that run subscription services, content recommender systems can serve trigger cues that facilitate sales and upselling.

Scalability: Content recommender systems operate on customer data and match it up with automated metadata generation, making it easier to scale up or down depending on the number of users.

Recycle Content: Content-based recommendations not only add to the digital experience but also capture highly specific interests of the user, and recommend niche content that very few other users may have an interest in.

How Can Media Websites Deliver Content Recommendations?

So, how do we integrate content recommender systems on your media websites? Here are a few use cases to get you started:

Suggest the Next Article or Blog Post

The struggle is real – a user visits your website, consumes a specific content, and leaves never to come back! Encourage them to read your other posts by suggesting highly-relevant blog posts and articles to each visitor.

Suggest Similar Content Assets Across the Website

Media websites that are focused on demand generation can offer other types of relevant content such as case studies, videos, and white papers to their visitors. But who goes around looking for these, right? A suitable strategy, in this case, would be to recommend this content as additional resources for their area of interest.

Make Search More Efficient

On several occasions, users who make use of search bars are looking for specific content. Obviously, they would not enjoy sifting through tons of content to locate what they seek. Websites, to aid these users in this quest, can suggest the most relevant content for every individual as they search.

Allow Users to Bounce Back to Previously-Viewed Content

Adding a feature along the lines of a “Recently Viewed” tab can make it easier and more efficient for the visitors to locate the content that they may have engaged with recently. As a result, they can effortlessly pick up from where they left off.

Incorporate Dynamic CTAs

Your media website may promote certain content on the homepage or any other prominent location on the landing page. But what happens after the user has already consumed that content? You wouldn’t want to miss out on an opportunity to engage them with something else and waste it on continuing to promote the stale content! Through a content recommendation system, you can replace it with new and meaningful content that will guide them down your website’s rabbit hole!

Final Thoughts

Content recommendation systems offer a unique opportunity to add value to digital customer experience and user satisfaction. However, companies must also add creativity to their algorithms to help users discover other aspects of your website.

So go ahead, and get recommending!

[resonatesolutions-blog]

Use of Customer Experience in Health Care Industry.

[softqubetechnologies]

5 Digital Customer Experience Trends You Should Know in 2023

In 2023, Explore Our Blog and Here we explain the top 5 trends in CX that businesses should be looking out for in 2023. Following these few CX trends can allow your business to deliver customer delight and build a strong relationship with your customers. https://haripatel.me/blog/5-digital-customer-experience-trends-you-should-know-in-2023/

[brandndigital]

Content is an integral part of your website.

To know more DM us or visit us at: www.brandndigital.com

call us:+91 75005 65005

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