Five years ago, it seemed like customer journey orchestration technology was having a moment. Since then, the marketplace for standalone journey orchestration engine (JOE) platforms has receded. A plateau in sales and numerous vendor acquisitions nearly absorbed all the independent JOE vendors.
So, what happened, and what does it mean for you?
Let's go back in time a while.
The 2010s saw many enterprises undertake "customer journey mapping" projects, often led by external agencies conducting specialized workshops to uncover "as-is" and "to-be" customer journeys. The diversity of approaches to visualization, terminology, and even the definition of a "journey" should have been a warning that full-cycle orchestration would prove difficult. Not surprisingly, most of these projects led to more tactical, test-and-optimize projects at discrete touchpoints rather than systemic omnichannel overhauls.
At the same time, a handful of independent, born-digital JOE vendors emerged. They served forward-looking enterprises seeking to provide a more coherent, omnichannel experience for customers. Interestingly, the customer data platform (CDP) market -- which emerged simultaneously -- grew to become a multi-billion dollar arena with dozens of plausible alternatives. Yet, the JOE market never really took off. Why not?
First of all, omnichannel journey orchestration is more complicated than it looks. An enterprise specialist might imagine themself sitting at a complex control panel, adjusting dials and knobs to optimize outcomes. But it turns out that modern customer engagement can be as complicated as nuclear controls, and require comparable levels of education, training and risk reduction.
Journey orchestration is not as easy as it may first seem.
For JOE technology to work, you need to have at least three things in place, and none of them are easy: Comprehensive, unified and accessible customer data. Almost no firm has this, though everyone is working on it. Sometimes JOE vendors would build in mini-CDPs just to accelerate this process, with predictably poor results.
Performant, reliable, customizable, bi-directional connectors to your most important customer engagement touchpoints so you can adequately listen and respond. The term "reliable connector" should give you pause.
Interdepartmental strategy and governance to figure out and then execute your tactics across numerous channels: media buys, web, apps, messaging-oriented campaigns, e-commerce, and customer service. Often, we see marketing take the lead here, but this is an enterprise-wide endeavor, and those are hard.
A changing market
After initial excitement, the JOE market plateaued. Salesforce dropped its reseller agreement with the largest indie JOE vendor, Thunderhead. Acquia quietly dismissed its JOE partner, Kitewheel. Other suite vendors like Adobe and Acoustic only have limited investments in omnichannel orchestration as they focus more on outbound messaging platforms.
Most pointedly, all the major JOE independents have gotten sold off, primarily to "CX" (read: customer listening/service) vendors like Medallia and Qualtrics. The current marketplace reflects the collapse of independent JOE vendors. Source: Real Story Group. Here again, the contrast with CDPs feels apt. CDPs have become almost a "cost of doing business." In most cases, the large enterprise needs to deploy one.
Yet JOE technology has remained more aspirational, requiring a tougher return on investment justification. Recent M&A activity seems to indicate the most profitable thing JOE technology does circa 2022 is to reduce both customer churn and costly call center volumes.
The future of journey orchestration technology
This story doesn't have a sad ending. The need for journey orchestration is not going away. While marketers may remain enamored with outbound, message-oriented campaigns, consumers are less optimistic about the resulting deluge of emails, texts, and in-app messages.
The listen-and-respond motif of journey orchestration platforms will become even more critical as firms transition to subscription-like models that emphasize maximizing lifetime customer value.