How to Build a Business Case for Digital Transformation
Jun 24, 2025 • 7 Minute Read • Commerce Strategy Team, Verndale
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How to Turn B2B Commerce Into a Revenue Engine with Account Intelligence
May 14, 2026 • 5 Minute Read • Chris Boulanger, Managing Director, Data & Analytics
By Chris Boulanger, Managing Director, Data & Analytics, and Carrie Souza, Sr. Account Director, Commerce
A joint perspective from Verndale's Commerce and Data & Analytics practices. The second in a series on connecting commerce data to revenue.
How Teams Design for Account-Aware Ecommerce
In the first article, we outlined why B2B ecommerce stalls without account intelligence. The next question is: what does it take to fix it?
Teams that turn the B2B ecommerce platform into a revenue engine tend to follow the same progression, starting with foundation, evolving into intelligence, and paying off at activation.
We see the same shape across financial services, manufacturing, distribution, technology, and medical devices. The vocabulary changes by industry; the pattern doesn't.
1. See the Account Clearly
To make the ecommerce experience perform like a revenue channel, the first step is to bring the four systems that describe the account into a governed environment where they can be understood and acted on as a single entity.
Salesforce or another CRM sits in the CRM seat; SAP, NetSuite, Oracle, or Dynamics on the ERP side; the commerce platform itself; and the web and marketing data from analytics, marketing automation, and third-party intent providers.
Unifying your data foundation isn't just about centralizing data. It’s about giving the business a resolved account view that the rest of the stack can rely on:
- Every contact is mapped to the right account.
- Every order is matched to the right contract.
- Every web session is attached to the right buying group.
Without this foundation, predictive scoring inherits the inconsistencies of the source systems. With it, the next two layers have something honest to operate on.
2. Know What Will Drive Revenue
Once the foundation exists, the conversation is about "which accounts are most likely to buy more next month, and what would move them faster."
At this layer, teams typically build:
- Account‑level intent and propensity scores that combine first‑party behavior with third‑party intent from providers like ZoomInfo, Bombora, or 6sense.
- Buying‑group identification that links anonymous web sessions back to known purchasing groups in CRM.
- Wallet‑share and white‑space models that show which categories each customer is buying elsewhere.
- Next‑best‑action recommendations tied to the account's lifecycle stage rather than the interaction happening in a single session.
This is where most B2B organizations have the biggest unrealized return, because the data already exists across the four systems, but the layer that turns it into usable intelligence has yet to be built.
3. Act on Intelligence Across Every Channel
Insight only matters when it changes what buyers see and what reps do. That doesn't happen in a dashboard alone, yet the industry has seen a deep and abiding love of building new ones. We're aware this isn't always the same as solving the problem.
For B2B commerce, activation tends to land in four places:
- In the storefront experience, through account‑aware pricing, contract‑aware catalogs, and self‑service flows that adapt based on account context and route high-intent or high-value opportunities to a rep when appropriate.
- In the sales rep workflow, account scores and intent alerts surfaced inside Salesforce, with prioritized lists and a suggested next action grounded in what the account is actually doing.
- In pricing and promotions through targeted offers based on account propensity and contract terms, instead of broad‑stroke discounts that erode margin.
- In marketing orchestration through audiences built from account intelligence rather than form fills.
When activation is in place, the ecommerce platform becomes a primary execution channel within a coordinated revenue motion, and conversion stops being a storefront metric and starts being a cross‑functional one.
How This Changes the Conversation Inside the Business
When commerce becomes account‑aware instead of session‑aware, the internal conversation changes:
- Sales leadership sees buying intent within the rep's existing CRM workflow and identifies and intercepts self‑service orders that should have been relationship sales.
- Merchandising and pricing move from broad promotions to account‑specific offers and recover margin on accounts that have been over‑discounted out of habit.
- Demand generation builds audiences from the buying group rather than the form filler and stops arguing with sales about lead quality, because both functions are finally looking at the same account view.
The net result is the conversation the executive sponsor wanted in the first place: conversion up, average order value up, measurable share of wallet, and the platform finally earning the return the business case promised.
What This Looks Like in Practice: B2B Ecommerce Case Studies
The pattern is consistent, even when the context changes. Here are two examples of our work, abbreviated and anonymized.
A specialty distributor selling into hospitals and labs had a working commerce platform, Salesforce, an ERP that held order history, and a marketing analytics stack reporting on campaigns. Every system was producing meaningful data, and none of it was reconciled. The team couldn't answer which campaigns were generating revenue, which accounts were under‑penetrated, or whether the commerce site was lifting reorder rate.
We built a unified data layer across CRM, ERP, and the analytics platforms, set common KPI definitions across marketing, sales, and finance, and stood up a reporting layer that the executive team could trust. Once the foundation was in place, the marketing ROI conversation shifted from debating which dashboard to believe in to discussing which accounts to invest in next.
A wire and cable distributor that grew through acquisition had inherited multiple ERPs, CRMs, and websites. The digital customer experience leader had set a goal of reaching 90% digital engagement with the customer base within five years. The blocker was account intelligence, not platform capability: monthly reporting required manual consolidation across five systems, lead scoring was half‑built, and the 360‑degree account view was in flight but not yet usable.
We worked through a use‑case‑led roadmap that prioritized automated reporting, lead‑to‑revenue analytics, and a customer 360 grounded in the unified data foundation. The commerce platform didn't change; what it knew about the customer did.
Why B2B Ecommerce Revenue Depends on Account Intelligence
B2B ecommerce conversations have spent the last several years focused on platform features. Those decisions matter at the platform layer, but they aren't the ones that drive revenue once the platform is live.
Revenue moves when the business can recognize the account behind the activity and act on it in a timely manner.
As a result:
- The storefront knows who it's serving.
- The rep sees buying intent before the order is placed.
- Pricing reflects the customer's value, not a default discount.
- Marketing targets the buying group, not just the form fill or individual contact.
Without that, even a well-built platform will underperform. Not because it's broken, but because it operates without the context required to drive commercial outcomes.
This is where commerce and data stop being separate conversations. The experience only performs as well as the intelligence behind it.
That’s the shift we’re seeing across our clients: not just more investment in the platform, but better use of the data that makes it perform.
If you're working through this today, we can help you assess where your foundation stands. Get in touch with our data team to learn more.
This article is the second in a series on connecting commerce data to revenue. In the next piece, we’ll look more closely at where revenue is lost between traffic and pipeline, and why pricing and promotion in B2B still rely more on manual work than most organizations expect.