Quality content is no longer enough to build and maintain a loyal readership and publishers know this best.
To gain a sustainable competitive advantage, media publishers must leverage tactics that enable a fully personalized experience that captivates readers’ attention.
That’s why publishers are in a prime position to reap the benefits of AI.
They have the data and they have the ecosystem. All they need is the right AI platform to deliver the industry’s holy grail: dynamic customized experiences that keep readers coming back for more.
The best part? It also works for publishers who don’t rely on a subscription model to generate revenue.
Learn how to enhance your recommendation systems using AI to deliver content your readers truly enjoy and crave.
of the US population has a social media profile (Statista)
Is how often Gen Z Americans access apps (Trends in Consumer Mobility Report 2018)
We see access to quality information as a key human right.
With so much of our education happening online, we want to help media publishers connect with the people who can use their ideas to become better and improve the world around them.
We believe AI complements and amplifies human expertise, creativity, and judgement.
This is why we’re building AI applications that integrate into existing business flows and don’t require Machine Learning specialists to operate
Unify data sources & eliminate data silos
Extract actionable data about readers
Strengthen data integrity
Improve user recognition
Automate data prioritization to generate insights
Ensure compliance with data protection regulations
Thinking of AI as a magic wand to fix all the issues media publishers face is unrealistic. However, infusing AI into the newsroom’s workflow can boost efficiency for core KPIs and free up resources for other essential projects.
Working hands-on with AI proves it excels at 3 essential tasks:
We believe the users' activity (ex. sessions, page views, time on page, searches, etc.) and history are the most relevant indicators for their probability to churn.
MorphL uses content consumption patterns to correlate readership KPIs with the risk of churning. We focus on dynamic customized experiences that keep readers coming back for more.
You can apply this key competitive advantage to optimize readers engagement and to make better decisions - often automatically.
For media publishers, MorphL plugs into data sources and aggregates them into a tested model that delivers reliable insights about readers and their habits.
Even for non-subscription-based publishers, MorphL provides insights such as:
✓ recommend top performing content that matches their interests
✓ incentivize engagement & community involvement
✓ provide social proof with experiences from users like themselves
✓ suggest content that matches the average time spent reading
✓ add a “Read it later” option and engage readers via email
✓ surface potentially engaging comments to stimulate participation
Make data-informed decisions and design (re)engagement strategies to drive more quality traffic and keep readers engaged.
We’re here to support you with knowledge, guidance, and AI expertise so you can make the most of MorphL and support business growth.