Marketing Automation Platforms & Journey Orchestration

Your customer visits your website, gets an email about a product they were viewing and receives another ad via social media, directing him or her culminating in a sale. Behind the scenes is the Marketing Automation and Customer Journey Orchestration which makes it happen.  

But there is something else that Customer Journey Orchestration provides. It does not concentrate on campaign management, but on the entire customer journey.  

The article is intended to cover the connection between marketing automation and customer journey orchestration.  

With the help of marketing automation, organizations can build a seamless customer journey.   

1. Approach: Pre-set logic vs. Adaptive 

Marketing automation relies on predefined logic ("If X happens, then Y happens"), while Journey Orchestration depends on customer behavior.  

For example, when an individual downloads a whitepaper, the company initiates an automated flow of emails.  

2. Data Usage: Segmented vs Unified 

Marketing Automation platforms employ segmented data (lists, groups, basic attributes). Customer Journey Orchestration employs real-time customer data to make decisions.   

Example: Automation targets “enterprise leads” with a generic campaign. Orchestration identifies a high-intent account and tailors messaging based on recent behavior.  

3. Timing: Scheduled vs Real-Time 

Marketing Automation Platforms act on triggers. Customer Journey Orchestration is done in real time. 

Example: Marketing Automation would send a weekly newsletter; however, Customer Journey Orchestration would send an offer once you visit the pricing page again.   

4. How They Work Together 

Marketing Automation Platforms do the execution, while customer journey orchestration improves the experience on Omnichannel marketing platforms. 

For instance, the firm utilizes marketing automation to execute the lead nurturing approach while customer journey orchestration integrates sales, marketing, and customer success teams to engage with the prospects.  

AI ensures that Customer Journey Orchestration becomes a flexible one.   

1. Enhancing Multichannel Engagement  

AI connects the marketing tools to deliver consistent messages via emails, websites, mobiles, and advertisements. It determines what channel works best for each customer.   

Example: In case someone ignores emails but interacts with mobile alerts, the AI switches the medium to mobile engagement.   

2. Predicting Customer Behavior 

Based on past data, AI predicts the actions of users that may occur in the future. This helps in planning using marketing automation software.  

Example: Based on data, AI predicts which prospects are most likely to buy within 30 days and focuses on these prospects.     

3. Reducing Drop-Off Across the Journey 

AI helps pinpoint customer drop-offs and gives solutions to reconnect with them. It is beneficial for enhancing Customer Journey Orchestration as a whole.  

Example: If a user does not fill the entire form, AI can send out an email for a remainder.  

Whereas CDPs supply intelligence, Marketing Automation Platforms helps in the execution.  

1. Supporting Real-Time Decision Making 

CDPs analyze and update customer data. These changes can be acted on by Marketing Automation Platforms.  

Example: When the status of a lead changes quickly, it will prompt action such as alerts or following up immediately.    

2. Breaking Down Data Silos Across Teams 

By ensuring that teams work on the same dataset, collaboration can be optimized throughout the entire customer journey.   

Example: The sales team is aware of previous marketing interactions before contacting the customer.   

3. Measuring Performance Accurately 

CDPs provide a view of customer behavior across touchpoints. Campaign management through Marketing automation platform will have more context for campaign success. 

Example: Campaign managers can examine how much impact those clicks have had on increasing the number of deals or conversions.  

4. Setting up the Framework for Scalability 

The incorporation of CDPs and marketing automation platform establishes a robust framework for scalability in the future.    

Example: An organization expanding into other channels will not lack consistency as the customer data will stay interconnected.   

This question is not about choosing between them. The real key to success will be their integration and effectiveness in providing a superior customer experience. The successful organizations will always be the ones focusing on creating customer experiences throughout the journey.