Customer ExperienceAdvisory Board

Our Impact

The work. In practice.

Experience shaped by ambition, complex client environments, consequential business challenges and direct accountability for results.

Consulting experience behind the work

Before founding CX Advisory Board, Sandi spent much of her career in consulting and client-advisory roles with market-leading firms including EDS, IBM and Salesforce. Her work spans industries, geographies and cultures, advising senior executives and collaborating with leading global organizations such as Microsoft, Cisco, Amazon and American Express. Her experience encompasses financial services, technology, professional services, communications, media and entertainment, and life sciences. She has also applied that experience to startups pursuing ambitious visions. The examples below reflect that breadth: work undertaken across different roles and settings, united by a consistent focus on customer value, commercial performance and measurable operating outcomes.

Our Impact

Client Impact

Work undertaken with organizations to change performance, strengthen customer outcomes and deliver measurable results.

Case Study 01Growth & Strategy

High-growth B2B SaaS disruptor expanding into complex global enterprises

A success-led strategy opened the next wave of enterprise growth

Product-market fit was no longer the challenge. The next growth opportunity required moving beyond early adopters into large, highly regulated global enterprises—with deeply embedded legacy environments, legitimate concerns about cloud risk, and little appetite for a traditional SaaS sales motion. The company needed a repeatable way to earn enterprise trust without compromising the speed and culture that had fueled its success.

Designed and launched a go-to-market strategy for this harder-to-reach segment, supported by a success-led operating framework. The model introduced the right elements of enterprise rigor without importing unnecessary bureaucracy: earlier cross-functional engagement, stronger alignment between sales and customer success, and a clearer connection from the buying decision through implementation to measurable customer value. Most importantly, it shifted the definition of success from closing the software sale to enabling the outcomes promised to the customer.

The playbook aligned cross-functional teams around customer success and strengthened collaboration before the sale. It helped earn the trust of marquee global brands, develop those relationships into customer advocates, and create a repeatable foundation for sustained portfolio growth. The portfolio subsequently delivered the company’s highest growth rate while reducing churn to the low single digits.

Proof points

↑ 220%–335% CAGRSustained across three consecutive years
↓ 50% ChurnReduced to low-single digits
↑ 8 Customer AdvocatesMarquee brands developed into references
Case Study 02Go-to-Market Performance

Big Four professional-services firm navigating more competitive market conditions

AI insight made relationship selling more trusted—and more productive

Long-standing relationships had historically opened doors, but they were no longer enough in a difficult economic environment. Client budgets were shrinking, spending faced greater scrutiny, and every investment had to be rigorously justified. Sellers needed better insight into where genuine opportunity existed, how relationships were changing, and when pursuing a deal would—or would not—create value for the client.

Led a sales transformation that embedded early artificial intelligence and predictive insight throughout the selling experience—including opportunity scoring, white-space identification, and next-best-service recommendations. The approach helped sellers assess opportunity quality more consistently, surface relationship strengths and risks earlier, and focus their time where the firm was best positioned to create value and win.

Relationship selling became more disciplined and more trusted. Opportunities were qualified more meaningfully, warning signs surfaced earlier, and sellers and buyers spent less time on pursuits unlikely to succeed. Saying no at the right time strengthened trust, while sharper pursuit decisions improved pipeline quality, win rates, and sales velocity.

Proof points

↑ 23%Increase in qualified pipeline opportunities in one quarter
↑ 8%Improvement in win rate
↑ 30%Faster sales cycle
Case Study 03Operating Performance Transformation

SaaS provider in a high-growth market working in internal silos

Organizational collaboration needed to keep pace with high growth

Rapid growth had given sales outsized organizational influence while customer-facing teams struggled to keep pace. Segmentation, resource allocation and incentives were not aligned around the customer journey, creating friction between the commitments made before the sale and the experience delivered afterward.

Redesigned the operating model around a shared pre-sale understanding of each customer’s business challenge, journey and expected outcomes. The work aligned segmentation, resources, decision rights and incentives so pre- and post-sales teams engaged at the right time with a common view of what had been promised and how value would be realized.

Pre- and post-sales teams engaged at the right time with a shared view of the client’s business challenge—and of the provider’s approach and promises for addressing it. This created a faster on-ramp to value realization, with cross-organizational and client-provider collaboration enabling speed around a shared vision.

Proof points

↓ 30% CACCustomer acquisition cost reduced
23% improvement in TTVTime to customer value improved
↑ CSATPre-sale client alignment embraced by customers
Case Study 04Customer Success & Retention

U.S. telecommunications provider facing subscriber churn

Redesigning support around the customer journey improved retention and account value

Customers were increasingly frustrated with the support experience. Frontline practices were disconnected from the customer journey, and service teams lacked sufficient knowledge of customers’ products, use patterns, and experience. Too often, customers understood their products—and the problems they were encountering—better than the people supporting them. The resulting friction weakened trust and contributed to subscriber churn.

Redesigned support triage around the customer journey instead of treating every customer and interaction alike. The model differentiated support by where customers were in the relationship and how they used the company’s products—from new customers and early adopters to advanced users, power users, and customers already at risk. This more informed, personalized approach gave frontline teams the context to respond with greater relevance and resolve issues more effectively.

Support began meeting customers where they were. First Contact Resolution doubled, subscriber churn declined, and stronger trust created more credible opportunities to introduce additional products and services—contributing to increased average revenue per user.

Proof points

2× FCRFirst Contact Resolution doubled
↓ 30% ChurnSubscriber churn reduced
↑ 8% ARPUAverage revenue per user increased
Case Study 05Value Realization

SaaS providers under mounting pressure as AI enters the group chat

SaaSpocalypse: Market Correction, Miscue, or Strategic Shift

SaaS growth is slowing amid higher churn scrutiny, lower multiples and a shift toward efficient, usage-based value. How should providers manage the market shift?

Pressure-tested whether the change represented a market correction, a commercial miscue or a more fundamental strategic shift—and refocused the discussion on where value is actually created.

The SaaS delivery model is no longer a valued outcome in itself. Value has to be earned through the actionable capabilities of the software, making shelfware an increasingly visible warning signal as market dynamics change.

Evidence and market signals

↓ 15% ShelfwareRight sizing matters to buyers
System of RecordRemains essential—even as interfaces change
↑ Customer ScrutinyGreater scrutiny of adoption, value realization and outcomes
Case Study 05Value Creation with AI

Global professional-services firm facing growth inertia

Enrich My Relationships turned relationship intelligence into growth

The firm believed its client relationships were strong, yet those relationships were not consistently producing meaningful growth. Had it already captured the total addressable market—or was it overestimating the strength, depth, and reach of its relationships?

Put data behind the feeling. Created a data-driven measure of relationship strength that revealed the depth and breadth of worldwide relationships, the volume of interactions across channels, geographies, and services, and both the level and value of engagement.

The intelligence exposed gaps and strengths across the relationship network, identified new connections and influencers, and aligned internal and cross-geography sponsors around shared opportunities. It also created an integrated behavioral-data foundation for more personalized, meaningful engagement—turning relationship insight into qualified pipeline, opportunity expansion, and a lower cost of sale.

Proof points

↑ $400MNew qualified pipeline generated with cross-border insight
↑ 6%Opportunity expansion through cross-sell and upsell solutions
↓ 3%Lower cost of sale with data-driven insight

Decision Support

Advisory & Market Insight

Focused advisory work that helps leaders and investors test assumptions, interpret market signals and make consequential decisions.

Case Study 07PE & Investor Diligence

Recurring advisory engagements with midterm and long-term market analysts

Where’s the money? Finding AI value within the investment horizon

AI disruption is recognized—but how should that disruption be valued? Who would win, who would lose, and when would the economics become visible?

Aligned the analysis and value thesis to the analyst and investor’s planning horizon. Simplified the near-term question: which use cases have the right buyers, economics and readiness to deliver value now? The approach started small enough to be credible while preserving a path to larger rewards.

Connected high-value use cases to the right buyer segments and clarified where near-term momentum could create an on-ramp to broader value. In Financial Services, reconciliation and fraud prevention offered measurable loss reduction. In healthcare, patient triage and scheduling improved access, utilization, and patient experience. In service centers, support efficiencies generated savings that could help fund continued AI investment.

Illustrative value signals

↓ $ and % lostNet fraud loss, measured in dollars and basis points (metrics under NDA)
↑ 30%In-network referrals and scheduled new-patient appointments
↓ 40%Labor requirement through AI-enabled support efficiencies
Case Study 08Emerging Technology Advisory

Recurring advisory engagements with executives, investors, and market participants evaluating emerging technology claims

A focused reality check separated meaningful market signals from technology noise

Emerging technologies often arrive with sweeping claims, rapidly evolving terminology, and pressure to act before the capabilities, economics, and adoption requirements are fully understood. Leaders needed an experienced, independent perspective on what was real, what remained aspirational, and which claims were primarily marketing—without commissioning a lengthy assessment before they could frame the right questions.

Conducted focused, time-bounded advisory discussions that pressure-tested technology and market claims against customer needs, operating realities, adoption barriers, and likely economics. The work distinguished demonstrated capabilities from emerging potential, surfaced the assumptions behind vendor and market narratives, and clarified what leaders should validate before making investment, partnership, product, or go-to-market decisions.

Leaders gained a clearer view of where the technology could create value now, what conditions would have to be true for broader value to emerge, and where additional diligence was warranted. The discussions helped clients move beyond the hype—acting with greater confidence where the evidence was strong and avoiding premature commitments where it was not.

Evidence of advisory value

Independent PerspectiveClaims tested through a customer, commercial and operating lens
Faster ClarityCritical assumptions and risks surfaced quickly
Better DecisionsDeployable capability separated from hype