Pricing is the most underleveraged strategic lever in most SaaS companies. It sits at the intersection of product strategy, go-to-market execution, and financial modeling. Yet it’s often treated as a finance exercise, or something that gets set once and revisited only when a competitor forces the issue. At Kustomer, I led a full pricing transformation that reshaped how we package, price, and sell our platform.
When the Market Signals a Change
The catalyst was AI. As AI capabilities became central to customer service platforms, buyer behavior started shifting. Companies were automating more interactions, which meant fewer human agents, which meant traditional per-seat pricing was becoming a shrinking revenue model.
Per-seat pricing penalizes customers for the very efficiency your product delivers. You’re telling them: our AI will help you do more with fewer people, and we’re still going to charge you based on headcount. That’s a misaligned incentive, and customers feel it, especially in CX where volume spikes during Black Friday or holiday seasons don’t map neatly to fixed annual seat counts.
Our goal was to move toward work-based pricing, charging based on the volume of interactions the platform handled rather than the number of humans using it. This aligned our revenue model with how customers actually derived value, and positioned us for a future where AI handles an increasing share of customer interactions.
The Four-Phase Framework
I structured the transformation around four phases:
Discovery: Executive conversations to align on objectives, constraints, and appetite for change. These surfaced which sacred cows could be challenged, which customer segments were most price-sensitive, and what the board expected to see.
Research: A competitive analysis of how every major CX platform was pricing AI capabilities, plus a survey of 200 CX leaders to understand willingness to pay across different packaging models. This gave us an evidence base to make confident decisions.
Design: Using the research insights, we built tiered packages mapped to different buyer segments and usage profiles. I established a Pricing Committee to govern decisions and deliberately excluded the CEO and CTO so functional leaders could debate trade-offs directly.
Operationalization: Getting this phase right is what determines whether the pricing model actually lands. We assembled a cross-functional working group across Sales, Customer Success, FP&A, Legal, and Billing to address every downstream implication of the new model, from contract templates to commission structures to billing system configurations. The pricing model is only as good as the organization’s ability to execute it.
The Enablement Layer That Makes or Breaks It
A new pricing model means nothing if the field can’t sell it. I built five enablement assets:
- FAQ Document that anticipated every question a rep or CSM might face.
- Interactive Pricing Tool, a calculator with five inputs that generated a custom pricing estimate in real time during a sales call.
- Pricing 101 Training that walked the entire go-to-market organization through the rationale, the model, and the competitive context.
- Objection Handling Guide with specific responses to the most common pushbacks.
- Talk Track for the Pricing Shift that gave reps the narrative framework to explain why we changed and why it benefits the customer.
Messaging for Two Audiences
A pricing transformation means speaking to two fundamentally different audiences.
Existing customers need empathetic, reassuring messaging. They want to know they won’t be penalized, that their existing contracts are honored, and that the transition will be smooth. The tone is stability and partnership.
New customers need forward-looking messaging. They want to know they’re buying into the future. The tone is vision and competitive advantage.
The Results and What I’d Do Differently
We launched in October 2024. Within the first few months, 45 customers had transitioned to the new model, and feedback from Sales and Customer Success was positive. The Interactive Pricing Tool became one of the most-used sales assets, and the pricing narrative gave reps a compelling story in competitive deals.
If I could do it over, I would invest earlier in operationalization. The real complexity was in execution: updating billing systems, retraining sales compensation models, and aligning legal language. Starting operationalization in parallel with Design rather than sequentially after it would have shaved weeks off the timeline and reduced friction during rollout.