ON-DEMAND WEBINAR

Radically Transparent: The Silent Killer of Pipeline

36 minutes
3 speakers
Recorded June 24, 2021

Transcript

Who is speaking

Jennifer Gutman Shaun Ma Kenda Macdonald
Webinar overview

In the debut episode of Oktopost’s Radically Transparent series, host Jennifer Gutman puts marketing on trial with Shaun Ma (MarketOne International) and Kenda Macdonald (Automation Ninjas) to find out who’s really killing B2B pipeline, uncovering how lead scoring, over-reliance on outbound, and a poor understanding of buying psychology quietly undermine sales results.

  • Traditional lead scoring often produces a flood of cold leads rather than genuinely qualified ones. Real improvement comes from behavioral, propensity-based modeling that reflects where a buyer actually is in their journey, not just click counts.
  • Neuroscience research shows the brain processes price through its pain centers, while seeing a desired product activates reward centers. Marketing’s job is to build enough reward association with a brand to outweigh that price-driven pain response.
  • Progressive profiling should track the specific type of content someone consumes, not just that they’re engaging at all, and map it to awareness stages (unaware, problem aware, solution aware, product aware, most aware) to determine true sales-readiness.
  • Breaking down the silo between sales and marketing is critical: asking sales what questions prospects ask right before buying gives marketing the exact signals and content gaps needed to create genuinely sales-ready leads.

Your speakers

Jennifer Gutman, Director of Customer and Product Marketing at Oktopost
Jennifer Gutman
Director of Customer Marketing, Oktopost

Jennifer Gutman is Director of Product and Customer Marketing at Oktopost, where she has spent the past decade building the company's social media and employee advocacy ecosystem — from the product itself to training customers on how to scale their programs. She hosts the "Radically Transparent" podcast, featuring marketing leaders from companies like Intel, Google, Adobe, WalkMe, and Microsoft, and leads workshops and the Oktopost Academy to help B2B social media managers grow into strategic leaders within their organizations.

Shaun Ma, Global Director of Strategic Services at MarketOne International
Shaun Ma
Global Director of Strategic Services, MarketOne International

Shaun Ma is VP of Digital Customer Engagement at Schneider Electric, based in Canada, focused on helping B2B organizations gain a competitive advantage through customer experience management. He specializes in orchestrating customer touchpoints across long, multi-solution sales cycles at global scale.

Kenda MacDonald, CEO, Marketing Automation Ninjas
Kenda MacDonald
CEO, Marketing Automation Ninjas

Kenda Macdonald is a behavioural marketing consultant and Strategic Advisor based in Bollington, England, and the best-selling author of "Hack The Buyer Brain." With a background in forensic psychology, her work sits at the intersection of behavioural science, commercial strategy, and AI ethics.

Frequently Asked Questions

Any advice on how to create an efficient progressive profiling mechanism?

Start by clearly defining what someone is doing at each stage of their journey and what content or behaviors signal that stage, then begin tracking simply: what they sign up for first, then link clicks from email and content, then web activity after they click through, layering in more sophistication like adapting content based on displayed behavior only once those foundations are solid.

How do you decide what data is actually worth collecting for profiling, given how much is theoretically available?

Start from the marketing use case, not from collecting everything possible. Define the minimum core information marketing actually needs to segment and target records effectively, and consider data append services to fill in account-level detail when gating and progressive form opportunities are limited.

How do you move lead scoring beyond simple demographics and point-based activity tracking?

Start on the sales side by studying your CRM's closed-won opportunities to find the trends and attributes common to records that actually convert, then apply a propensity model, many are freely available as open-source machine learning packages, to your historical data. A good model typically reaches over 70% accuracy at flagging genuinely promising records.

How do you get sales team buy-in for a new lead scoring or profiling approach, since they're often skeptical at first?

Sit down with sales and ask what questions prospects typically ask right before they buy. Those questions reveal exactly what content to create and what behavior to track as a purchase signal, and once sales sees the resulting leads convert more easily, they become eager advocates for the process rather than skeptics.