Episode 122

White Cap: B2B ecommerce, analytics & omnichannel challenges

Anna Lazzarini
Anna Lazzarini
Director of Customer Experience and Analytics

In this episode we talked about:

  • How to define customer experience in B2B beyond surface-level UX improvements
  • Why account-level order frequency is a leading churn indicator
  • How to rethink cart abandonment in workflow-driven buying environments
  • How to translate vague field feedback into measurable technical fixes
  • Why session replay and behavioral data are critical during replatforming
  • How pricing inconsistencies across channels undermine ecommerce adoption
  • Why analytics fragmentation quietly damages executive trust
  • How to approach building a simplified, defensible analytics stack

🎧 Listen now on Apple Podcasts, Spotify, or YouTube

Episode highlights:

02:00 – Anna’s career journey into B2B ecommerce

04:00 – Defining customer experience in construction supply

05:51 – The KPIs that actually matter in B2B

08:59 – Why customers don’t describe ecommerce like we do

10:49 – Debugging an intermittent login failure during replatforming

13:24 – Omnichannel pricing and field alignment

15:02 – Analytics fragmentation and the “wild west” problem

20:17 – Rebuilding an analytics stack for the future

Anna’s bottom line: Don’t expect B2B ecommerce to work if your fundamentals are misaligned. If pricing, availability, and customer definitions aren’t consistent across systems and teams, you’re not just creating friction—you’re actively training customers to avoid your digital channels. Get your data, KPIs, and field alignment right first, then build experiences that actually support how your customers buy.

FAQ

If customers see one price online but can get a better price through a sales rep, it undermines trust in the digital channel and trains customers to bypass your website.
In B2B, a customer can represent an account, a job site, or an individual buyer. Multiple entities and contexts make it hard to standardize across systems.
Analytics is fragmented across tools with different definitions, and must account for approvals and offline workflows—making a single source of truth difficult.
Feedback is often vague. Teams should combine it with session recordings and behavioral data to identify root causes and validate issues.
Adoption improves when ecommerce teams partner with the field. Tools should support reps, not replace them.

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