You're Leaving Value on the Table - Here's Where To Find It

In a recent post, I argued that differentiation doesn't live in the product — it lives in the sales team's ability to prove business value.

The sellers who consistently outperform their peers are the ones who can connect their solution to what buyers actually care about: operational impact, financial outcomes, and strategic business success.

But that raises an important question:

How do great sellers actually do that?

The answer lies in their understanding of how their solution operates across the customer's ecosystem, something I call the Value Stack.

Every technology product — whether it's hardware, software, platform, or service — affects more than the function it was designed for, creating ripple effects downstream through operations and upstream into strategic business outcomes.

In enterprise sales, you usually enter an organization where your product has obvious value. That could be with the infrastructure team, maybe with an executive, or anywhere in between. This is the entry point for a deal.

Most sellers focus their entire deal on the entry point. They pitch to the person in front of them, solve for that team's pain, but then hit a wall when the proposal reaches the C-suite. Not because the solution isn't valuable, but because that value hasn't been translated across the stack.

THE VALUE STACK

A Value Stack is a map of how product impact converts into operational and financial outcomes across an organization.

Each layer is connected by a Value Link: the path from product impact to broader business value.

Building a Value Stack means asking three questions:

• Q1: What value does my product bring to the entry point?

• Q2: What additional issues can it relieve for the teams downstream from this product?

• Q3: What does this make possible for the leadership upstream from your product?

Each answer is a Value Link that, together, forms your Value Stack. Let's apply this to a few hypothetical deals:

EXAMPLE 1: Digital Collaboration Platform — Product Manufacturer

Entry Point: Creative Director

THE PROBLEM Creative teams are producing more content than ever, but slow approvals, scattered feedback, unclear versions, and inefficient collaboration create delays, rework, and missed deadlines, making it harder to get campaigns out on time.

THE SOLUTION A single, unified real-time platform where all stakeholders review and approve high-resolution assets in one place. No email chains, no version confusion.

THE VALUE LINKS

• Entry point value: Approval cycles drop from days to hours, eliminating the constant 'chasing' of feedback so the director and their team can stay in the creative flow rather than managing administrative back-and-forth.

• Downstream operational relief — Infrastructure Team: A single shared reference point means storage utilization drops from 2TBs to 800GBs, eliminating the cost of redundant data growth and high egress costs.

• Upstream strategic outcome — VP of Marketing / CFO: Faster approval cycles create 15 additional days of market runway, adding three extra sales windows per quarter with a potential $12M revenue gain.

THE VALUE STACK: By reducing approval times from days to hours, we keep creative teams in the flow, reclaim cloud storage costs for other investments, and extend market runway to drive a potential $12M in revenue gain.

EXAMPLE 2: Data Consolidation Platform — Bank

Entry Point: Chief Risk Officer

THE PROBLEM Customer data lives in three separate legacy silos — Mortgage, Retail, Commercial — with no unified view. Reconciling exposure manually is slow, error-prone, and a regulatory liability.

THE SOLUTION Automated unification of customer profiles across all three silos into a single, continuously updated record — no manual reconciliation required.

THE VALUE LINKS

• Entry point value: The CRO gets a real-time, 100% accurate view of credit exposure — and can stand in front of regulators with confidence instead of caveats.

• Downstream operational relief — Engineering: Auto-scaling removes the requirement for high-risk 2 AM batch-processing, returning hours of monthly engineering time.

• Upstream strategic outcome — CFO: Accurate exposure data allows the CFO to optimize regulatory capital reserves — freeing an estimated $50M in liquidity for revenue-generating loans.

THE VALUE STACK: By unifying customer data, we reclaim 2 weeks of audit time, gain 480 hours of annual engineering innovation capacity, and unlock $50M in stagnant capital for revenue-generating lending.

EXAMPLE 3: Edge Computing Appliance — Retail Chain

Entry Point: VP of Store Operations

THE PROBLEM Inventory scanning depends on centralized processing — which means lag-time, network dependency, and shelf data that's always slightly behind reality. Stockouts and overstock both lose margin.

THE SOLUTION Edge computing moves AI processing to the device at the shelf. Scanning happens locally, in real time, without network round-trips or centralized bottlenecks.

THE VALUE LINKS

• Entry point value: The team stops losing hours every week manually reconciling the floor because the system finally reflects actual stock levels. They regain the ability to manage the store in real-time.

• Downstream operational relief — Network / IT: By removing the need to sync every scan back to a central server, they can cut inter-site bandwidth consumption by 80% and prevent outages that previously cost the store 4 hours of POS connectivity per month.

• Upstream strategic outcome — CFO: 98% accuracy stops the overstock/stockout cycle. The company stops losing tens of thousands per store annually in margin from stagnant stock and lost sales on high-demand items.

THE VALUE STACK: By moving processing to the edge, we reclaim hundreds of hours annually of manual store management, eliminate 48 hours of POS and payment downtime annually, and recover $30,000 in margin per store for the enterprise.

HOW TO MAP THE STACK IN YOUR OWN DEALS

During discovery, start with your entry point contact and work outward.

• Who else might be impacted downstream by your product?

• Who sits above your entry point, and how can your product bring value there?

• Ask your contact directly: "When this problem goes unsolved, who else feels it?"

• "What kind of pressure does this put on your operations or infrastructure teams?"

• Finally, "If we can unlock success here, what will that mean to the departments that depend on you?"

• If you get the dreaded "I don't know," ask who does.

Then quantify. The numbers may not be easy to get as they come from the contact's own operational data, which requires them to do some work that might be uncomfortable. This is where teams usually give up (trust me, I've been there). It’s much easier to stay in the comfort zone of selling what you know than it is to hunt down operational data from a department that doesn't know you yet. A strong sales team, however, will forge the ability to surface this data through persistent discovery and building trust, then translate it into the language each level of the organization speaks.

Stop pitching the entry point. Start mapping the stack.

If you only speak to the person who let you in the door, you are missing the real opportunity. When you link the value across the organization, you're selling business transformation — and that's a conversation the C-suite will take every time.