Webinar

The State of Customer Growth & Renewal 2026

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The customer growth and renewal (CGR) industry is facing an existential pivot driven by AI economics, marking the end of the “growth at all costs” era and the beginning of a focus on profitable growth and trust.

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March 18, 2026

11:00 AM

Pacific Time

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March 18, 2026

11:00 AM

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March 18, 2026
|
11:00 AM
Pacific Time

Overview

Summary

In this webinar, TSIA explains the “Agentic Pivot” reshaping Customer Growth & Renewal in 2026 as AI Economics shifts the focus to profitable growth and trust. You’ll learn how to move from adoption-led motions to outcome telemetry and agentic AI—while overcoming pricing paralysis, fragmented data, and revenue volatility. The session outlines the key shifts to win: adopting the DARE framework, building human-on-the-loop architectures, and unifying revenue operations around NRR and expansion.

Challenges

Many organizations are stuck in pricing model paralysis. They resist disrupting per-user pricing, even as AI reduces the headcount those models depend on—creating a “Success Paradox”—where proving value can mean a customer pays less. At the same time, fragmented, low-quality data prevents AI from delivering reliable impact, and the move to consumption-based pricing adds revenue volatility that makes forecasting and budgeting far more complex.

Key takeaways

Transition to the DARE Framework

Organizations must move beyond linear adoption to a four-step cycle of outcome engineering and continuous value proof to drive net revenue retention (NRR).

Implementation of Agentic AI

Success in 2026 requires mastering 'human-on-the-loop' architectures, where autonomous agents handle end-to-end tasks like routine renewals and risk detection.

Unified Revenue Operations

To eliminate functional silos, compensation for customer success and renewal teams must be tethered directly to NRR and expansion revenue, aligning post-sale charters with a growth mandate.

Webinar speakers

Marc Troyan

Sr. Director Customer Growth and Renewal Research, TSIA

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