# Jan Young

Jan Young coaches Customer Success leaders to connect customer work to revenue, improve how their teams operate, and adapt to AI. Jan Young also leads the StepUpXchange CS Business Leadership Accelerator, writes the Customer Revenue Lab newsletter, and helped build the CxXchange Customer Success community.

- Profile: https://b2binfluencer.marketing/creators/jan-young/
- LinkedIn: https://www.linkedin.com/in/jan-young-cx
- Median of last 6 posts: 22 reactions, 17 comments (checked 2026-11-02)
- Topics: artificial-intelligence, leadership, customer-success, community-building
- Based on 8 dated posts, latest 2026-10-07

## Summary

Most useful for coaching Customer Success leaders to connect customer work to revenue and adapt to AI.

- Best for: B2B SaaS customer success leaders working on revenue, usage pricing, AI, or community.
- Not for: Paid social placements pushing products to broad audiences with promo codes and reach targets.
- Check first: Ask for recent reach, engagement, or survey data for comparable CS leadership content.

### Takeaways

- Usage is only a health signal until it is revenue; activity can hide frustration
- AI-era onboarding should stop teaching clicks and start verifying outcomes
- Fix the most broken journey stage first, then turn it into a repeatable revenue system

## Main ideas

- **Customer success leaders get shut out of budget planning when they report activity instead of revenue evidence**: Jan Young argues that CS leaders are expected to hit retention and expansion targets but get treated like an operational escalations desk because they report CSAT, NPS and health scores rather than commercial numbers. The remedy is a shared commercial language built on Customer Revenue Expertise, Business Acumen and AI Fluency. Jan Young names two coaching mistakes: leaders do not connect their team's work to what investors and the company are trying to achieve, and they do not fix the most broken part of the CS program first.
- **Usage is only a health signal until it is the revenue, and then activity can hide frustration**: Jan Young separates usage as something CS watches from usage as the number a company gets paid on. When customers pay by consumption, usage is part of the number to predict, so looking at usage alone is too late. High consumption can mean a customer had to prompt a tool five times to get a usable result. Jan Young says usage-based pricing, committed credits and outcome-based pricing each raise a different question, and the practical test is to pick one core customer job before a business review, compare what the signals say with what the customer actually got done, and look at both sides of usage: what has to happen before usage grows, and what the usage is doing for the customer.
- **AI-era onboarding should stop teaching clicks and start verifying outcomes**: Jan Young tested three work-organization apps and kept the one run by agents, with no interface to learn. The lesson drawn for CS is that onboarding capacity spent teaching users where to click is hidden customer effort that delays value, while libraries of walk-through videos and how-to guides become maintenance work. In an outcome-driven model, value comes from domain judgment, customer context and verified outcomes rather than navigation skill.
- **Community is intentional and organic, and it grows by being additive rather than competitive**: CxXchange grew out of office hours Jan Young ran while hiring for several roles and receiving about 80 responses. The calls mixed CS leaders, experienced CSMs and people newer to tech, and the group became CS Office Hours and then CxXchange. Jan Young's stated principle is that community is both intentional and organic: create the conditions for people to feel welcome, contribute and connect, but leave room for the community to become something you could not have designed alone. Jan Young describes community as additive, not competitive, and partners with groups including Latinos in Success, Success in Black and CS Barcelona Afterwork.
- **Fix the most broken journey stage first, then turn it into a repeatable revenue system**: Jan Young identifies a second recurring mistake: not fixing the most broken part of the CS program first. That is often a stage of the customer journey where every CSM does it a little differently, the same customer problems get solved again and again, renewal and expansion forecasts depend on who owns the account, and account knowledge leaves when a CSM leaves. The remedy taught is to turn that stage into a Repeatable Customer Revenue System. Jan Young adds that effort is not the problem: most of these leaders and their teams are already working hard.
- **Commercial generalists, not narrow role definitions, are what AI-era go-to-market needs**: Jan Young was a full-cycle seller before moving from entertainment technology into SaaS, where sales and customer success roles were separated. Jan Young chose customer success because it allowed more commercial strategy and continued account relationships. That background shapes the skills argument: go-to-market people need to know the whole prospect-to-customer lifecycle, their ideal customer profile's workflows and pain points, AI tools and business acumen, and stay tech-curious. Technical roles need the same lifecycle and business grounding plus technical depth. The conclusion is that every role is changing, so upskilling is not optional for anyone.

## Work to read

- [Most CS leaders are expected to hit retention and expansion targets](https://www.linkedin.com/posts/jan-young-cx_most-cs-leaders-are-expected-to-hit-retention-activity-7521235619377897472-G82O)
- [The two mistakes I see CS leaders make](https://www.linkedin.com/posts/jan-young-cx_i-coach-a-lot-of-cs-leaders-and-i-see-the-activity-7523119327706001408-RDci)
- [I was a full-cycle seller](https://www.linkedin.com/posts/jan-young-cx_i-was-a-full-cycle-seller-and-for-the-record-activity-7517675648954408960-TgUF)
- [I accidentally started a Customer Success community almost 5 years ago](https://www.linkedin.com/posts/jan-young-cx_i-accidentally-started-a-customer-success-activity-7512534569531633664-EGIg)
- [High AI consumption does not mean your customer is getting value](https://www.linkedin.com/posts/jan-young-cx_high-ai-consumption-does-not-mean-your-customer-activity-7519085164396978176-QLL8)
- [SuccessHACKER CS Thought Leadership Awards and CxXchange](https://www.linkedin.com/posts/jan-young-cx_this-years-successhacker-cs-thought-leadership-activity-7520621123152207872-upbh)
- [Usage is the revenue in consumption models](https://www.linkedin.com/posts/jan-young-cx_weve-spent-years-treating-usage-as-a-signal-activity-7513690205594292224-JzNs)
- [I tested three apps to organize my work](https://www.linkedin.com/posts/jan-young-cx_i-tested-three-apps-to-organize-my-work-activity-7521997424408559617-MsET)

## Brand relationships

- **JanYoungCX** (owned_business)
- **StepUpXchange** (owned_business)
- **CxXchange** (owned_business)
- **Customer Revenue Lab** (owned_business)
- **SuccessHACKER** (mention)

## Partnerships

Across the eight posts reviewed, Jan Young does not describe any brand sponsorship, paid-partnership, or affiliate format, and no media kit, rate card, sponsor policy, or partnership inquiry page appears in the material. What the posts do document are Young's own programs: executive coaching and advisory through JanYoungCX, the StepUpXchange CS Business Leadership Accelerator, a free NexGen CS Leadership Masterclass series, the Customer Revenue Lab newsletter, and the CxXchange community, which she says has about 20 volunteer board members and roughly 4,000 members. Those are offerings Young runs rather than formats a brand can book, and the material gives no pricing, audience metrics, deliverables, or contracting terms for any of them. A brand planning a session on usage-based models or community-led growth should treat the specific scope, timing, and terms as an open question to settle directly with Young. This is a documented absence in the reviewed posts, not a statement that Young never accepts sponsorships or paid partnerships.

## Alternatives

- Seth Hansen: Pick Seth Hansen for the same brief when the problem is the first ninety days rather than the billing model. The reviewed posts argue that most companies lean on NPS as their primary customer success metric and that time to value tells them more: if a customer does not reach a first meaningful outcome quickly, the playbooks, the business reviews, and the roadmap for AI do not matter. That gives a sponsor a session that ends with a measurement change instead of a pricing discussion, replacing or demoting a lagging satisfaction score in favor of the moment a customer decides the product is working. His framing lands where Jan Young's does on tieing customer success to business outcomes, and he currently holds a customer success leadership seat, which suits a buyer who wants a working operator in the room rather than an outside advisor.
- Jennifer Brown: Choose Jennifer Brown when the decision moves from what to teach a customer success team to how the company should buy and structure creator partnerships. The reviewed posts argue that creators are not paid media placements, that judging a single post against click-through and cost benchmarks misses trust, message alignment, repetition, and storytelling that compounds, and that when a brand puts advertising money behind creator content, the rights to use that content, voice, and likeness are a commercial asset rather than a favor repaid in exposure. For a sponsor whose real question is whether to run one campaign or a long collaboration, and what it should pay for usage rights, this is a closer match than a customer success session would be.
- Karyn Mullins: Choose Karyn Mullins for the same brief when the buyer's problem is ownership across functions rather than usage economics. The reviewed posts describe retention problems that surface only when the customer leaves, list the earlier warning signs, and argue that a health score alone prevents nothing without a shared view of customer data across sales, customer success, product, support, and finance, an agreed set of signals, a consistent review cadence, and clear ownership of what happens next. For a sponsor whose teams already agree the account is at risk but disagree about who acts, that is a more direct starting point than usage-metric literacy.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/