There's a pattern that plays out at almost every company using a customer data platform. A team knows exactly what they want to achieve: get more first-time buyers to come back, recover cart abandoners before they go cold, or move loyalty members into the next tier. The goal is clear. Then they start building.
They configure the data collection, define the segment, set up the activation and add measurement, if there's still time. By the time the use case is live, more energy has gone into the construction than the strategy. And when results are inconsistent, tracing why means going back through every component piece by piece.
For marketers whose job it is to drive growth, not manage platforms, this is the wrong starting point.
With Release 100, we're changing it.
Start from the goal. The platform builds around it.
Growth Plays is a new way to work inside BlueConic. Instead of starting from individual campaign elements, you start from a business outcome. The Launchpad gives teams a library of pre-built plays built around the highest-value growth moments in ecommerce: first-purchase acceleration, cart abandonment recovery, loyalty progression, and more. Choose one, and you're not starting from a blank screen, you're starting from a proven pattern that's been designed end to end.
The AI Canvas is where the experience becomes different. For the first time, teams have a real-time, visual map of the entire use case, every data input, every segment rule, every activation, every measurement point, visible in one place. There's no more guessing how pieces fit together or jumping between interfaces to understand what's running. The full picture is right there.
And because measurement is built into every play by default, teams produce results from day one. Not instrumented retroactively. Not added when someone asks for a report. Built in from the start, so every play teaches you something from the moment it launches.
The platform that optimizes while you're focused on the next thing.
Building a Growth Play is only the beginning. What happens after launch is where the real advantage shows up.
Next Best Action for Dialogues introduces a new layer of AI-driven decisioning, not just which variant to show within an experience, but which experience to show in the first place. Per visitor, in real time, the NBA model evaluates available dialogues and selects the one most likely to convert based on defined goals. It learns from every interaction, continuously refining its choices without manual oversight.
Continuous Predictive Scoring works in parallel. Models now update automatically as profile data changes, before the first pageview, between sessions, across every channel. Predictive insights are available exactly when they're needed, not after a batch process catches up.
Together, these capabilities mean growth plays aren't static, they improve on their own.
R100 is a milestone. But it's not the finish line.
One hundred releases is a meaningful number. But what it represents is more important than the count: a platform that has been consistently evolving toward a clearer vision of what a Customer Growth Engine should actually do.
Growth Plays is the clearest expression of that vision yet. Start from the outcome, get there faster, improve continuously. And do it inside a platform where the signal finally becomes the sale.
We're already building what comes next.
