#cjo

hi omg!! it’s a LONG story but i’d actually only talked to cj over the phone twice before i flew 30 hours across the world to see him. because i’m crazy. ahshshs no but i had a Lot going on in my life and needed to get away, so i asked my (then) barely-acquaintance if i could come visit. 2 trains, 3 flights, and a taxi later i was literally as far away as i could be from home.

within the first hour of meeting cj, he’d made me laugh so hard i legitimately started crying. i hadn’t slept in 24 hours. i was So Hungry. we tentatively approached the idea of writing together, pulled our laptops out, and just like that, an alliance was formed.

(he fed me first.)

(he’s such an incredibly generous person. and he’s SO FUNNY. don’t ever let him tell u he’s not.)

we basically hunkered down. it turned out we think similarly enough to read each other’s minds, and differently enough to spark delight with every proposed, half-coherent idea we tossed out. we knew exactly how to communicate our thoughts to maximise efficiency. like, holy shit we wrote fast. 20k in one sitting fast. bananas. we had SO many bits going. and everything we posted performed pretty well, so we kept at it. and now we’re working on an original project (!!).

our biggest asset was, of course, time. we had two weeks to lock in and do whatever we wanted — so we chose to make our main focus writing. so! cliche, but my advice is: keep at it! and read as much as you can! write down phrases that make you feel something (examine them, figure out WHY they evoke the emotion they do), get yourself a usage dictionary(!!!), and alternate between fan fiction and published literature. don’t stick to one medium (aka don’t neglect your other hobbies)— if you like music, drawing, photography — do that too! so much inspiration can be found in simply experiencing your life. most importantly, let yourself have fun before you criticise your work.

and sometimes, if you’re lucky, you’ll find someone like-minded to write with :D

in between visiting cj and returning home, we’ve grown so close. i consider him one of my closest friends. my lover but not… a true queer alliance… we‘ve captained a boat together, sang Loudly and Badly on the same couch, watched heated rivalry with slack jaws… it’s safe to say i will be making the 30 hour commute to see him again as soon as i can.

thanks for asking!!! i love talking about cj. he’s the best <3

In today’s hyper-connected digital landscape, delivering consistent and personalized customer experiences across multiple channels has become a strategic priority for organizations. This shift is driving the rapid evolution of the Customer Journey Orchestration Platform, a powerful solution designed to unify, analyze, and optimize customer interactions across the entire journey.

A Customer Journey Orchestration Platform enables businesses to move beyond static journey mapping and into real-time, data-driven orchestration. By leveraging advanced technologies such as artificial intelligence (AI) and machine learning (ML), these platforms empower organizations to deliver highly personalized, seamless, and context-aware experiences at scale.

The Evolution of Customer Journey Orchestration

Traditional customer journey strategies often relied on predefined workflows and limited data insights. However, modern Customer Journey Orchestration Platforms have transformed into intelligent systems capable of dynamically adapting to customer behavior.

These platforms provide:

Real-time journey orchestration

Cross-channel engagement capabilities

Data-driven decision-making

Automated customer interactions

This evolution allows businesses to respond instantly to customer needs and deliver relevant experiences across every touchpoint.

AI and Machine Learning Driving Innovation

Artificial intelligence and machine learning are at the core of modern Customer Journey Orchestration Platforms. These technologies enable deeper analysis of customer data and predictive capabilities that enhance decision-making.

Key capabilities include:

Predicting customer behavior and intent

Automating personalized interactions

Identifying patterns and trends in customer journeys

Optimizing engagement strategies in real time

With AI-driven insights, organizations can proactively engage customers and improve overall experience quality.

Integrating Diverse Data Sources

A critical strength of a Customer Journey Orchestration Platform lies in its ability to integrate data from multiple sources. This includes data from CRM systems, websites, mobile apps, social media, and customer support channels.

By unifying these data streams, businesses can:

Create a 360-degree view of the customer

Deliver consistent messaging across channels

Improve accuracy in targeting and personalization

Enhance decision-making with comprehensive insights

This data integration ensures that every interaction is informed and relevant.

Enabling Omnichannel Experiences

Customers today interact with brands across various channels, and they expect a seamless experience regardless of where they engage. Customer Journey Orchestration Platforms enable true omnichannel engagement by connecting all touchpoints into a unified system.

This allows organizations to:

Deliver consistent experiences across channels

Transition customers smoothly between touchpoints

Maintain context throughout the customer journey

Improve engagement and satisfaction

Omnichannel orchestration is no longer optional—it is essential for modern customer engagement.

Personalization at Scale

One of the defining features of a Customer Journey Orchestration Platform is its ability to deliver personalization at scale. By leveraging AI and real-time data, these platforms can tailor experiences for individual customers.

This results in:

Highly relevant content and recommendations

Improved customer engagement

Increased conversion rates

Stronger customer loyalty

Personalization at scale enables businesses to build meaningful relationships with their customers.

Prioritizing Data Privacy and Compliance

As data-driven strategies become more prevalent, ensuring data privacy and compliance has become a top priority. Customer Journey Orchestration Platforms are evolving to address these challenges by incorporating robust data governance and security features.

Key focus areas include:

Compliance with global data regulations

Secure data handling and storage

Transparent data usage policies

Ethical use of customer data

By prioritizing privacy, organizations can build trust while delivering personalized experiences.

The Future of Customer Journey Orchestration Platforms

The Customer Journey Orchestration Platform market is poised for continuous growth and innovation. As technology advances, these platforms will become even more sophisticated in analyzing data, predicting behaviors, and automating interactions.

Future trends include:

Real-time, AI-driven decision-making

Deeper integration with customer data platforms (CDPs)

Enhanced predictive analytics and automation

Conclusion

In today’s hyper-connected digital landscape, delivering consistent and personalized customer experiences across multiple channels has become a strategic priority for organizations. This shift is driving the rapid evolution of the Customer Journey Orchestration Platform, a powerful solution designed to unify, analyze, and optimize customer interactions across the entire journey.

A Customer Journey Orchestration Platform enables businesses to move beyond static journey mapping and into real-time, data-driven orchestration. By leveraging advanced technologies such as artificial intelligence (AI) and machine learning (ML), these platforms empower organizations to deliver highly personalized, seamless, and context-aware experiences at scale.

The Evolution of Customer Journey Orchestration

Traditional customer journey strategies often relied on predefined workflows and limited data insights. However, modern Customer Journey Orchestration Platforms have transformed into intelligent systems capable of dynamically adapting to customer behavior.

These platforms provide:

Real-time journey orchestration

Cross-channel engagement capabilities

Data-driven decision-making

Automated customer interactions

This evolution allows businesses to respond instantly to customer needs and deliver relevant experiences across every touchpoint.

AI and Machine Learning Driving Innovation

Artificial intelligence and machine learning are at the core of modern Customer Journey Orchestration Platforms. These technologies enable deeper analysis of customer data and predictive capabilities that enhance decision-making.

Key capabilities include:

Predicting customer behavior and intent

Automating personalized interactions

Identifying patterns and trends in customer journeys

Optimizing engagement strategies in real time

With AI-driven insights, organizations can proactively engage customers and improve overall experience quality.

Integrating Diverse Data Sources

A critical strength of a Customer Journey Orchestration Platform lies in its ability to integrate data from multiple sources. This includes data from CRM systems, websites, mobile apps, social media, and customer support channels.

By unifying these data streams, businesses can:

Create a 360-degree view of the customer

Deliver consistent messaging across channels

Improve accuracy in targeting and personalization

Enhance decision-making with comprehensive insights

This data integration ensures that every interaction is informed and relevant.

Enabling Omnichannel Experiences

Customers today interact with brands across various channels, and they expect a seamless experience regardless of where they engage. Customer Journey Orchestration Platforms enable true omnichannel engagement by connecting all touchpoints into a unified system.

This allows organizations to:

Deliver consistent experiences across channels

Transition customers smoothly between touchpoints

Maintain context throughout the customer journey

Improve engagement and satisfaction

Omnichannel orchestration is no longer optional—it is essential for modern customer engagement.

Personalization at Scale

One of the defining features of a Customer Journey Orchestration Platform is its ability to deliver personalization at scale. By leveraging AI and real-time data, these platforms can tailor experiences for individual customers.

This results in:

Highly relevant content and recommendations

Improved customer engagement

Increased conversion rates

Stronger customer loyalty

Personalization at scale enables businesses to build meaningful relationships with their customers.

Prioritizing Data Privacy and Compliance

As data-driven strategies become more prevalent, ensuring data privacy and compliance has become a top priority. Customer Journey Orchestration Platforms are evolving to address these challenges by incorporating robust data governance and security features.

Key focus areas include:

Compliance with global data regulations

Secure data handling and storage

Transparent data usage policies

Ethical use of customer data

By prioritizing privacy, organizations can build trust while delivering personalized experiences.

Industry-Specific Solutions and Ecosystem Collaboration

The future of Customer Journey Orchestration Platforms includes the development of industry-specific solutions tailored to unique business needs. Whether in retail, healthcare, finance, or telecommunications, these platforms are being customized to address specific challenges.

Additionally, increased collaboration with ecosystem partners is enhancing platform capabilities. Integrations with marketing, sales, and analytics tools enable businesses to create more comprehensive and effective customer engagement strategies.

The Future of Customer Journey Orchestration Platforms

The Customer Journey Orchestration Platform market is poised for continuous growth and innovation. As technology advances, these platforms will become even more sophisticated in analyzing data, predicting behaviors, and automating interactions.

Future trends include:

Real-time, AI-driven decision-making

Deeper integration with customer data platforms (CDPs)

Enhanced predictive analytics and automation

Greater focus on ethical AI and data transparency

Expansion of industry-specific solutions

These advancements will further position CJO platforms as a critical component of digital transformation strategies.

Conclusion

Niemand heeft een monopolie op het lijden

Door: Mordechaï Krispijn

Twee Joodse organisaties hebben een rechtszaak aan­gespannen tegen Thierry Baudet, die op 15 december dient. Volgens de organisaties maakt hij ongepaste vergelij­kingen tussen het coronabeleid en de Nazitijd. Zo zou hij ongevaccineerden ‘de nieuwe Joden’ hebben genoemd en voorstanders van de uitsluitings­maatschappij ‘nazi's’.  De organisaties eisen dat deze uitingen worden verwijderd en dat Baudet wordt verboden beelden uit de Holocaust te gebruiken in het debat over de coronamaatregelen. Ondernemer Mordechaï Krispijn, zelf van Joodse afkomst, en actief betrokken bij het verzet tegen het coronabeleid, ziet in de uitsluiting van ongevaccineerden wel degelijk overeenkomsten met de periode voorafgaand aan de Tweede Wereldoorlog.Zoon van een Joodse moeder maakt mij volgens de Joodse wet ook Joods. Dat werd mij van jongs af aan al verteld. Overigens ben ik geen aanhanger van het Joodse geloof.

Documentary  

Client: Charleston Jazz