Illuminating the Dark Funnel

B2B marketers struggle with dark funnel attribution challenges. Chris Golec, CEO and founder of Channel99 and former Demandbase founder, explains how to illuminate hidden customer journeys that traditional analytics miss. The discussion covers view-through attribution methodologies using smart pixels and API integrations, account-based measurement approaches that reveal 3x more website visitors than industry standards, and AI-powered decision engines that can generate media mix recommendations in seconds based on cost-per-engagement metrics across channels.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

B2B marketers struggle with dark funnel attribution challenges. Chris Golec, CEO of Channel99 and former Demandbase founder, explains how 70% of website traffic gets misclassified as "direct" when it actually comes from identifiable marketing channels. The discussion covers view-through attribution methodologies that reveal 3x more visitor sources, account-based tracking using network IPs and user agents, and AI-powered decision engines that analyze marketing spend efficiency across channels like LinkedIn organic social and display advertising.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

B2B marketers struggle with dark funnel attribution challenges. Chris Golec, CEO and founder of Channel99 and former founder of Demandbase, explains how to solve marketing attribution problems that hide 70% of website traffic sources. The discussion covers view-through attribution methodologies that reveal 4-5 times more engagement than click-through metrics, account-based tracking systems using network IP and user agent data, and AI-powered decision engines that can generate media mix recommendations in seconds based on cost-per-engagement analytics across channels.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most B2B marketers can't act on their attribution data because 80% of website traffic gets misclassified as "direct." Chris Golec, CEO and founder of Channel99, explains how to solve the dark funnel problem that's costing companies millions in misallocated marketing spend. The discussion covers smart pixel implementation for view-through attribution, API integrations with LinkedIn and CRM systems to track account-level engagement, and using AI-powered decision engines to optimize marketing investment across channels based on cost-per-engagement metrics.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

B2B demand generation struggles with vanity metrics over pipeline results. Nick Zeckets, Chief Fire Starter at Smoke Signals AI, brings serial MarTech founder experience and AI-first HubSpot agency expertise to signal-based marketing. He explains how to redesign demand generation systems using AI agents and HubSpot workflows to capture buying signals that convert to measurable revenue. The discussion covers bootstrapping versus venture capital strategies for sustainable MarTech business growth.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Signal-based demand generation requires tracking the right data points. Nick Zeckets, Chief Fire Starter at Smoke Signals AI, brings expertise from two MarTech exits and building AI-first HubSpot programs. He identifies SEC filings as the most valuable signal for enterprise sales, revealing executive discussions about business risks, projections, and budget allocations. Executive hiring patterns at VP-level and above indicate strategic shifts and fresh budget priorities, while M&A activity creates 18-36 months of organizational change and new problem sets.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Traditional demand generation metrics miss the signals that predict actual buying intent. Nick Zeckets, Chief Fire Starter at Smoke Signals AI, explains how to track meaningful buyer behavior instead of vanity metrics. He identifies SEC filings as goldmines for understanding budget priorities and business direction, executive hiring patterns as indicators of strategic shifts and fresh budgets, and M&A activity as predictors of 18-36 month organizational challenges. These three signal types help B2B companies focus on prospects with genuine purchase intent rather than surface-level engagement.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Signal-based demand generation replaces traditional lead scoring with real buying intent data. Nick Zeckets, Chief Fire Starter at Smoke Signals AI, brings expertise from two MarTech exits and building AI-first HubSpot solutions. He advocates bootstrapping over venture capital to maintain customer focus and control. The discussion covers transitioning from vanity metrics to pipeline measurement and redesigning demand generation systems for AI-driven buyer behavior tracking.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Traditional intent data fails to predict actual buying behavior. Nick Zeckets, Chief Fire Starter at Smoke Signals AI, explains how signal-based demand generation replaces outdated intent tracking methods. He outlines strategies for capturing alpha signals through AI-powered content engagement, building custom HubSpot workflows that activate on meaningful buyer interactions, and measuring pipeline generation instead of vanity metrics.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most AI implementations fail because companies lack proper data foundations and context integration. Ariel Kelman, President and CMO at Salesforce, explains how their Agentforce platform addresses these fundamental challenges through trusted enterprise data connections. The conversation covers Salesforce's trust-first approach to AI agents, practical deployment strategies for marketing teams, and measurable results including $27 million in incremental pipeline from automated lead follow-up and 77% customer support case resolution rates.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.