Automatic Customer Success

Simple . Smart . Self improving

Drive NRR growth with AI recommended cross sell opportunities and per customer risk predictions

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Case studies

Grow Revenue Immediately

Results in 3 months or your money back!


Reduced churn



10 X


Thrive with Resilience
Maximize Customer Growth

Customer Success

Predict which customers are at risk and need immediate attention


Recommend the right offer at the right time for upsell and cross sell


Prompt actions to improve Net Retained Revenue


Optimize resources
Do a lot more with a lot less


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


Data integrations and mappings


AI driven per customer plays


Early and accurate customer intent signals


Clear guidance to grow future revenue


Flexible algorithms that train themselves


To changing market and customer drifts

Case studies

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Precision Engagement Enabled
Immediacy of results

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.


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.
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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.


  • 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)
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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.


  • 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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