Transforming Customer Success Into Predictable Revenue Growth
Abhilash Srivastava
Customer Success & Growth Leader
8.5+ Years Experience | B2B SaaS | Enterprise Customer Success
Customer Success leader focused on transforming CS from a reactive support function into a predictable revenue and growth engine through systems, data, and executive alignment.
Professional Summary
Customer Success and Growth leader with 8+ years of experience managing enterprise SaaS portfolios across global markets including APAC, US, and EMEA.
My expertise lies at the intersection of customer value realization and revenue expansion. I specialize in building scalable post-sales frameworks that drive adoption, improve renewal predictability, and unlock expansion opportunities within strategic enterprise accounts.
Throughout my career, I have worked closely with cross-functional teams across Sales, Product, and Delivery to ensure customers achieve measurable business outcomes while organizations achieve sustainable Net Revenue Retention (NRR) growth.
Global Experience
APAC, US, EMEA markets
Revenue Focus
NRR growth & expansion
Enterprise Scale
Fortune 500 clients
Leadership Philosophy
My leadership approach is centered around three principles:
Areas of Expertise
Career Growth Journey
Progressive growth from enterprise delivery to strategic Customer Success leadership
Trustana
Manager, Customer Success
March 2025 – September 2025
Built Customer Success foundations including onboarding frameworks, adoption strategies, and predictive health scoring.
Vizury by Affle
Senior Manager, Customer Success
May 2022 – February 2025
Designed customer health dashboards and renewal monitoring. Improved renewal performance by 30%.
Goodera
Lead, Customer Success
August 2018 – May 2022
Managed 20+ global enterprise accounts across US and APAC. Built scalable CS frameworks and coached Customer Success Managers.
MediaAgility
Executive
February 2017 – June 2018
Customer onboarding, product adoption, and enterprise engagement.
Retention and Net Revenue Growth
Key Insight:
Retention becomes predictable when Customer Success operates with strong systems and data visibility.
Predictable Expansion Systems
Expansion opportunities should emerge from customer value realization signals rather than ad-hoc selling.
Key Principle:
Expansion should be driven by systems, signals, and customer outcomes.
Impact Highlights
Built structured customer success frameworks including onboarding, adoption plans, and executive QBR processes in early-stage SaaS environments.
Managed enterprise customer portfolios across multiple geographies, supporting large global organizations across complex stakeholder structures.
Introduced data-driven renewal visibility dashboards that significantly improved renewal predictability and executive insight into customer health.
Developed churn-risk detection models through predictive health scoring frameworks that reduced churn risk exposure across strategic accounts.
Led and mentored customer success teams, focusing on structured account planning and executive engagement capabilities.
Strategic Approach to Customer Growth
My approach to enterprise customer growth is built around three pillars:
Ensuring the platform becomes operationally critical through strong onboarding and usage expansion.
Building relationships with decision-makers across departments and executive leadership.
Positioning the platform as a driver of measurable business outcomes aligned with the customer's long-term goals.
When these three elements align, expansion becomes a natural outcome rather than a reactive sales effort.
Operational Excellence & Data Rigor
Transforming Customer Success into a data-driven revenue engine
Outcome: Operational rigor that transforms Customer Success into a data-driven revenue engine.
How I Build Scalable Customer Success Functions
Scaling a Customer Success organization requires structured systems and disciplined execution.
These systems enable organizations to move from reactive support to predictable revenue growth.
AI Projects & Innovation
Exploring how artificial intelligence can transform Customer Success from reactive support into predictive revenue intelligence.
CustomerSignal AI
Predictive Customer Health Platform
CustomerSignal AI is a predictive Customer Success intelligence platform that monitors customer behavior and identifies churn risks early through advanced machine learning algorithms.
Core Capabilities
- Predictive Account Health Scoring
- Machine Learning Churn Prediction
- Risk Alert Engine
- Customer Success Intelligence Dashboard
- Next Best Action Recommendations
ActivationAI
Customer Activation Intelligence Platform
ActivationAI accelerates customer time-to-value by analyzing engagement patterns and providing actionable insights to drive product adoption and activation milestones.
Core Capabilities
- Engagement Pattern Analysis
- Activation Milestone Tracking
- Time-to-Value Optimization
- Onboarding Intelligence Dashboard
- Feature Adoption Insights
Voice of Customer & Product Alignment
Bridging the gap between customer needs and revenue growth
Strategic Insight: Bridging the gap between customer needs and revenue growth.
CS Transformation Impact
Transforming Customer Success from reactive support into a predictable revenue engine.
Revenue Retention Mastery
Predictable Expansion Systems
Scalable Customer Success Teams
Operational Excellence through Data
"Delivering immediate impact through systems, data, and strategic leadership."
Education
Business education focused on strategic management and global operations
SBM, NMIMS Mumbai
2020 – 2022
Amity University, Noida
2014 – 2017
Get In Touch
Customer Success & Growth Leader