Author name: Glen Torregiani

Executive experience in business operations, law, finance, and sales. Grew and managed teams, scaled a company, and has years of direct experience selling and supporting complex B2B solutions. Deep exposure to buyer evaluation and where traditional sales processes fail.

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What Is Buyer Intent Data and How Accurate Is It?

Buyer intent data identifies which accounts appear to be actively researching your category. 6sense, Bombora, and Demandbase collect it in meaningfully different ways. False positive rates are high and signal decay is fast. Here’s an honest evaluation of what the category delivers and where its limits sit.

Highspot and Seismic Have Announced a Merger: What Does That Mean for Sales Enablement Buyers?

Highspot and Seismic were the two most closely matched competitors in sales enablement. Their February 2026 merger announcement changes the category landscape. Both platforms continue to operate independently pending regulatory close. Here’s what each offered distinctly, what the merger means practically, and the questions teams should be asking now.

What Is Conversation Intelligence and What Are Its Limits?

Conversation intelligence platforms — Gong, Chorus, Salesloft, Clari — analyze the seller-present portion of the buying journey. That is approximately 17% of total buyer purchasing time. The other 83%, where buyer understanding forms and committee alignment develops or breaks down, produces no signal in any CI platform. Here’s what that means in practice.

What Does Gong Actually Do? (And What It Doesn’t)

Gong is the conversation intelligence category leader: call analysis, coaching signal, deal risk scoring, and forecast grounding in actual interaction data. Its structural boundary is equally clear. It generates signal only from seller-present interactions — which Gartner puts at 17% of total buyer purchasing time. Here’s what that means for revenue teams.

Navattic vs. Reprise vs. Storylane: How to Choose an Interactive Demo Platform

Navattic leads on ABM intent data and CRM attribution. Reprise leads on enterprise pre-sales environment fidelity. Storylane leads on format breadth, accessibility, and speed to value. The choice between them is a use-case fit question, not a quality ranking. Here’s the framework.

What Are the Limitations of Interactive Demo Tools?

Interactive demo platforms deliver real value for top-of-funnel qualification and consistent user-persona messaging. Their structural limits are equally clear: predefined paths that cannot adapt to individual buyers, no relevance for CFO, IT, or legal stakeholders, a champion translation dependency, and no presence in the post-demo evaluation where most of the buying committee forms its understanding.

What Are the Limitations of Digital Sales Rooms?

DSRs solve a real problem: content sprawl and coordination overhead in multi-stakeholder deals. But they record access, not comprehension. 48% of deal rooms receive no buyer engagement at all, and the ones that do still cannot tell you whether buyers left with accurate understanding or confident misunderstanding. Here’s where the structural boundary sits.

What Is a Digital Sales Room and Do You Need One?

Digital sales rooms have moved from early-adopter experiment to mainstream consideration. They solve a real problem: content sprawl, version control, and visibility in multi-stakeholder deals. But they record access, not comprehension. Here’s what DSRs do well, where the category boundary sits, and a practical framework for deciding if one fits your team.

What Sales Engineers Gain When Buyers Can Self-Educate

Sales engineers are the most expensive and highest-leverage resource in complex B2B sales — and most organizations are spending that resource in the wrong places. When buyers can self-educate through governed, accurate explanation before engaging with an SE, the nature of the SE conversation changes fundamentally. This article explains how.

The Trust Problem in AI-Generated Sales Content

AI has transformed how fast B2B sales content is produced — but governance hasn’t kept pace. Forrester predicts more than $10 billion in enterprise value loss from AI-generated misrepresentation. The solution isn’t abandoning AI. It’s ensuring every buyer-facing claim is grounded in governed, approved knowledge.

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