Predict which customers are at risk and need immediate attention
SALES
Recommend the right offer at the right time for upsell and cross sell
Finance
Prompt actions to improve Net Retained Revenue
operations
Optimize resources Do a lot more with a lot less
StepFunctionality
Amplify Upsell Prospects
Reduce Avoidable Churn
Improve Renewal Health
Find Cross Sell Opportunities
Avoid Customer Downgrades
Maximize Freemium Conversion
It's not Magic. It's Predictive AI
StepFunction automatically discovers the subtle behavior patterns that reveal intent and recommends the most performative actions to improve customer health and satisfaction
With StepFunction, we are able to easily detect customers with high propensity to cancel. StepFunction's support for customer cross-sell added great value.
Rohit Kumar, Sr Director Growth
The Challenge
Autodesk, a worldwide leader in creative design software, engaged StepFunction to improve their Customer Success results for a segment of their extensive user base. The goal was to provide better targeting for customers at risk for renewal cancellations and also for those that would benefit from cross-sell offers.
The Approach
AutoDesk and StepFunction jointly built a delivery methodology that could accept new customer behavior signals as they became available. This allowed for the prediction models to be activated within the first 10 weeks and to be continually improved as new signals were integrated into the Customer Intent Engine. This continual improvement meant that the best targeting results were ready in real-time and produced the best business results.
Outcomes
Enabled AutoDesk to approach their broad customer base through behavior segmentation rather than the ineffective geographic or size segmentations. Custom reach-outs through digital and human channels were immensely helpful. Autodesk also used StepFunction’s Intent insights to better design a product pricing and packaging strategy.
Impacted save rates immediately Coverage extended to all products
StepFunction’s predictive target hotlists have been a game changer for us. We have reduced costs while greatly improving save rates. We have even expanded StepFunction deployment to now cover all six of our product lines.
Marina de la Torre, VP Customer Success
The Challenge
Mitel, a worldwide leader in cloud communications services, was actively looking to improve their customer retention. They had all of the usual customer insight tools in place, such as Gainsight, but churn rates remained too high. Marina de la Torre, Mitel’s VP of Customer Success, invited StepFunction for an 8-week Proof-of-Results (POR) trial.
The Approach
StepFunction integrated with all of Mitel’s internal data systems and was live within weeks. At the end of the POR, Mitel compared StepFunction predictions and recommendations against their internal systems and even confirmed intent with over 200 customers. StepFunction’s recommendations were substantially more accurate than anything Mitel had in place. The POR was a success, and Mitel began rolling out StepFunction’s services across all six product lines.
Outcomes
StepFunction was live within one month of POR completion
Enabled Mitel to increase their reach outs and improve “saves” within 90 days
Extended StepFunction coverage to all their product lines (starting from 1)
Per customer real-time risk Measurably higher retention
StepFunction has significantly reduced our churn rate by enabling precise targeting of retention efforts to the best bang-for-the-buck customers.
Manu Mukerji, VP of AI & Analytics
The great thing about the Stepfunction AI model is that it's always learning and improving with every new set of data we input into it.
Jason Graham, VP, Customer Success
StepFunction’s leading indicator signals for large customers have really helped our AEs take appropriate and proactive actions for their customers.
Vijai Gandikota, Director, Customer Retention
The Challenge
Improving customer retention was a major focus for 8x8, a leading provider of cloud communication services. Loss of existing customers required the sales team to not only find new customers to grow the business, but also find new customers to replace the churned ones, the proverbial “leaky bucket.” Existing company tools (and an AI consulting company) were unable to accurately predict churn, so 8x8 turned to StepFunction to predict customers at high risk of churn accurately and early enough for 8x8 to intervene and retain them — while also improving customer satisfaction.
The Approach
Leveraging 8x8's robust data team, StepFunction seamlessly integrated customer data from various systems (CRM, Billing, Usage etc.) into its Growth AI platform. The successful Proof of Concept project swiftly led to an expanded engagement. Within 45 days, StepFunction provided bi-monthly Churn Prediction Scores with actionable recommendations per customer, seamlessly integrated into existing tools and workflows, eliminating the need for account executive retraining.
Outcomes
StepFunction delivered business ROI within 3 months
Enabled 8x8 to identify risk 3-4 months earlier than existing internal capability
StepFunction’s leading indicator signals for large and mid-market customers substantially improved retention and reduced churn rates.
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