Key points
– Customer success should be a revenue-driving function, not just a support or satisfaction tracker.
– Chief Revenue Officers must prioritize both near-term bookings and future revenue streams.
– Transactional, impersonal outbound selling is becoming ineffective; human-led outreach matters.
– AI can scale personalization and automate routine work while preserving high-value human interactions.
– Smaller, highly paid sales teams aided by automation will be more productive and profitable.
– Balanced, motivating quotas and a focus on expansion lift company valuation materially.
– Building community and trust through CS reduces churn and fuels referrals.
Guest overview
Carles Reina, VP of Sales at ElevenLabs, was an early hire and investor who helped grow the business to more than $350 million ARR within three years. He also invests in startups like Revolut and Happy Robot, and brings a practitioner’s view of scaling revenue, sales organization design, and customer success as a growth engine.
Customer success as a revenue engine
Customer success needs to move beyond measuring satisfaction and become an explicit source of revenue. When CS functions are treated as purely service-oriented, they often miss opportunities to increase lifetime value. Instead, CS should be measured and compensated on outcomes that drive monetary growth: expansion and cross-sell, faster adoption through effective onboarding, proactive churn prevention, and community-building that turns customers into advocates. With the right metrics, CS shifts from a cost center to a profit contributor.
AI makes scalable personalization possible. Rather than generic campaigns, AI enables tailored playbooks, variable messaging, and sequencing that reflect each customer’s context. That lets teams execute high-volume outreach without losing relevance, freeing human reps to handle strategic accounts and escalations.
What sales teams will look like
Automation and AI will compress headcount but boost output per rep. Reina favors running smaller teams where individual sellers are well compensated and focused on high-value conversations. Routine prospecting, qualification, and personalized but templated outreach can be automated, leaving humans to lead complex negotiations, build executive relationships, and close expansion deals.
The Chief Revenue Officer’s remit should span immediate bookings and durable future revenue. That means designing repeatable systems that align sales, marketing, and CS around shared KPIs reflecting both short-term ARR and long-term customer value. A CRO must invest in tools that amplify human sellers and in processes that protect retention while growing new business.
Why outbound is failing — and how to fix it
Outbound performance has dropped when it becomes a numbers game driven by impersonal sequences and indiscriminate spamming. Response rates slide when prospects are treated as data points rather than humans. Reina’s diagnosis is blunt: outbound doesn’t work if it’s purely automated. The comeback is human-led outreach supported by smart automation: deep research, bespoke value propositions, relevant timing, and follow-ups that respect the buyer’s context. In short, use tools to enable humans, not replace them.
AI’s practical role in customer success
AI is most valuable when it handles routine but time-consuming tasks: drafting tailored emails, generating playbook variants, surfacing risk signals for churn, and personalizing large-scale touchpoints. Reina describes an “AI custom success manager” approach where each customer receives slightly different messaging that reflects their situation, improving relevance and efficiency.
When applied properly, AI reduces manual load and raises the strategic ceiling for CS professionals. They can spend more time on onboarding that drives adoption, executive business reviews, and troubleshooting high-impact issues while AI maintains cadence and personalization at scale. The critical principle is augmentation: AI should extend human judgment and knowledge rather than substitute it.
The enduring importance of human connection
Even as AI improves outreach quality, human empathy, credibility, and the ability to read nuance remain decisive. High-consequence conversations — contract renewals, escalations, strategic expansions — require people. Successful teams design processes that preserve human touchpoints at key moments while automating repetitive tasks to increase capacity.
Community as retention strategy
Community and trust convert customers into advocates and lower churn. CS should actively create spaces for customers to learn from one another, share best practices, and feel part of a network. Events, user groups, product-driven forums, and shared learning experiences strengthen relationships and create referral and expansion opportunities that are hard to replicate through pure transactional engagement.
Revenue, quotas, and valuation
Reina emphasizes the leverage effect of incremental revenue: each additional million can disproportionately boost company valuation. This makes investments in retention, expansion, and efficient sales motions high-ROI activities for the whole company. To support that, quotas must be ambitious enough to drive performance but fair enough to retain top sellers. Incentives, structure, and a focus on measurable financial outcomes align CS and sales with company value creation.
Bottom line
Customer success should be reframed as a core revenue function, supported by AI to scale personalization and efficiency. Outbound needs a human-first approach enabled by intelligent automation. CROs should build repeatable systems that balance immediate bookings with long-term customer value, and investing in community and retention yields outsized returns on company valuation.
Disclosure
This piece was edited by the Editorial Team. For details on editorial procedures, consult the publication’s editorial policy.