The key to better understanding your fans lies within your data but that data is always changing and often siloed in different systems – from ticketing, to email marketing, CRM, e-commerce, digital channels, surveys, and more. Accessing and combining all this important fan data is time consuming and difficult to do before even trying to action on it. Let us do the hard work of pulling that online and offline data together in a way that makes it easy for everyone in your organization to use.
Add valuable insight to your customer profiles with machine-learning insights. Lead and retention scoring is updated daily so you see how your nurturing efforts are engaging your fans. Add to that avidity and engagement scoring and you’re able to understand your fans like never before.
What is a Customer Data Platform?
A Customer Data Platform is the secret weapon for data-driven organizations. The CDP Institute defines a Customer Data Platform as “packaged software that creates a persistent, unified customer database that is accessible to other systems.” In simple terms, a CDP integrates with your existing data systems to organize and enrich customer data across a variety of systems. This can be any data point tied back to the consumer, from ticketing and attendance data, to their interactions with digital ads. With these connections to existing team systems, a CDP allows your front office to see a single customer view, which is valuable in making fan data intuitive to use and understand for marketing and sales campaigns, service efforts, and other fan experience initiatives. With advances in machine-learning, CDP’s can also incorporate data science to predict how fans’ past and current behaviors will affect their future actions. While CDP’s are great to understand customer data, the primary use case for the platform is focused on making your insights actionable, so it’s easy for marketing and sales teams to automate data-driven campaigns.
Our segmentation tools make it a breeze to create hyper targeted cohorts to activate. Select attributes from multiple data sources like ticketing, email, demographic, merchandise, and CRM to build lists that take your understanding of known customer life cycle data points to new levels. No-code access means sales and marketing teams can leverage fan data and their institutional knowledge to easily build out a campaign.
The last thing organizations have time for in the middle of the season is looking back at how a past campaign perform but it’s one of the most important ways to better understand your fans. That’s why we do it for you. As soon as a cohort is saved in our cohort builder, it’s automatically being tracked with true ROI attribution metrics. Revenue generated from product sales are captured on a daily basis along with a comparison to how your control group is performing. Easily show leadership how marketing campaigns a contributing to the bottom line while you get insight into what was most predictive of conversion. Win-win.
CUSTOMER LIFECYCLE ELEMENTS
Understand your fans like never before. Gain visibility into how fans are migrating over time, where specific product buyers are coming from, and how your fan universe is evolving over time. StellarAlgo’s behavioral and automated scoring for both package buyers and leads along with segmentation models allow organizations to close the feedback loop on how sales and marketing efforts are performing – and why. Immediately. Decision-makers gain transparency into what’s working and what’s not like never before.
Who’s really in your venue and where are they sitting? Our ready-built demand elements help you visualize demand across your venue and events. Automated visualization of key demand attributes allow you to quickly assess your demand environment so revenue can be maximized for both the short and long-term. While assessing your demand, our Pricing Recommendations Engine™ supplies sophisticated pricing scenarios that reduce time to value and optimize pricing alignments.
Put your data to work. Immediately. StellarMoments is our notification system powered by machine learning technology. It helps you identify and prioritize opportunities for action when they occur. Instead of taking days for an analyst to sift through data, our algorithms automatically identify opportunities (and risks) – and then reports back on how successful the action was. Just another way to close the feedback loop and see how your efforts are affecting your fans.