Are you responsible for increasing your post-sales revenue in 2025? If so, you need to join us for this event.
This is where you’ll learn how to build an Annual Plan that your C-Suite loves and how to use AI to blow past your GRR and NRR goals in 2025. And if crushing your 2025 goals isn’t enough, you’ll also enjoy some networking, libations, and dinner. Check out the amazing lineup of speakers below.
Moderator : Larry Augustin
Panelists :
- Christy Augustine, COO, Bloomreach
- Deepak Rohida, CFO, Atlan
- David Sakamoto, Former Global VP of Customer Success, GitLab
- Peter Kim, Head of GTM, WestBridge Capital
Customer Success as a function continues to evolve, and the Customer Success function’s Value Proposition can vary significantly across organizations. Customer Success Strategy evolves with changes in Go-to-market, New product introductions, and the function’s maturity. In this session, we discuss how to balance competing CS priorities:
- [Product Success] Activations, Adoption, Customers NPS
- [Retention] Logo Retention, Gross Revenue Retention, Multi-Year contracts
- [Growth] Net Revenue Retention, Referrals/References, Reference Close Rate
In this session, our rockstar panel, composed of a CFO, COO, and Head of Customer Success, will share their unique perspectives. You can expect to take away the following:
- How to align cross-functional stakeholders on Customer Success Strategy?
- What are the right metrics to measure the impact of the CS team?
- How to build the right incentives?
Moderator: Neelu Shaikh
Panelist:
- Gillian Heltai, CCO Haus.io
- Jai Valluri, VP CS, Glean
- Rachel Krall, Sr Dir GTM Ops, LinkedIn
- John Morris, CFO, CyberHaven
Building the right team size is critical to ensuring you have the ideal customer engagement model to drive implementation, adoption, customer value and renewals. Yet, you operate within the confines of financial benchmarks and profitability goals. As you look ahead for planning, in this session we will discuss how to assess CSM capacity from a bottoms up activity model perspective and how to balance that with a tops down finance perspective.
In this session, we will have cross-functional participation from Revenue Operations, Finance and CS leaders. You can expect to take away the following:
- How to build a bottoms up activity-based Headcount model
- How to pressure test your model against top down industry benchmarks and company goals
- How to iterate on your Capacity Model - where to invest, where to retract
Moderator: Jim Mercer
Panelists:
- Vache, CPO, Observe.ai
- Mike Merit, CCO, Planet
- Steve Sanders, Sr Director of Enterprise Sales, Checkr
Delivering customer value is a team sport - CS, Sales and Product teams each play a unique role in positioning the right RoI/Value to customer, delivering amazing product experience, and ensuring customers see outcomes in-line with their original purchase/renewal criteria. As you look ahead for planning, in this session we will discuss how to best establish the right Rules of Engagement so all teams are empowered to make data-driven RoI-based decisions which deliver high NRR.
Takeaways: In this session, we will have cross-functional participation from Sales, Product and CS leaders. You can expect to take away the following:
- How to set the right expectations ad engagement model across Sales, Product and CS teams
- How to build an underlying customer data layer that serves as the source of truth for Customer Intelligence
- How to leverage AI to improve cross-functional coordination and resource prioritization
Customer Success Platforms have traditionally served as invaluable Systems of Record, providing a vital source of truth for tracking customer activities, monitoring engagement, and understanding customer health. However, as the world of customer success continues to evolve, there’s an exciting opportunity to fully leverage the power of AI to enhance these capabilties. With the rise of Generative AI and its growing influence across industries, the potential to transform customer success operations has never been greater.
A recent McKinsey study states that Customer Operations is one of the top four use cases where 75 percent of the generative AI value will accrue. ChatGPT recently crossed 200 million weekly active users. Clearly the world is changing. In this session, we will discuss:
- How leading organizations are already leveraging AI to optimize their customer operations today
- Practical steps to bring Generative AI into your customer success operations for immediate impact
- What the future of customer success looks like with a System of Cognition that empowers CSMs, Account Managers, and CS leaders to make smarter, faster decisions and deliver even more value to customers
- Why do you need to reevaluate your CS operations today from the lens of AI?
- What are the criteria to evaluate various Customer platforms?
- How do you infuse AI into your 2025 plan?
As AI continues to transform industries, we will share insights into how companies can create smarter, more adaptive products by embedding AI at the core of their solutions, and the associated challenges, best practices, and forward-thinking strategies for developing AI-infused products that stand out in competitive markets.Whether you're leading a product team or shaping your company’s technological vision, this conversation will help you understand what it takes to integrate AI successfully from day one.
- What it means to design and build products with AI at the core
- How top engineering teams at companies like Statisfy and Google DeepMind approach AI development, from prototyping to production.
- How to create AI products that drive tangible business value
- Where AI product development is heading and how to stay ahead of the curve
Observe.ai Leading Gen AI Conversation Intelligence Platform for Contact Centers.In its quest to have Gen AI drive the same level of internal impact as it delivers for its customers, Observe.ai partnered with Statisfy to reimagine its Customer Success workflows. In this session, we will share why Observe.ai CCO Deepak Kumar championed a business case for Statisfy and Statisfy’s impact at Observe.ai
- How Statisfy delivers Customer Health without human input and helps mitigate risk
- How CSM’s leverage Statisfy to improve their efficiency and effectiveness
- How Product and Sales are benefiting from self-serve customer insights