MarTech Podcast ™ // Marketing + Technology = Business Growth

Episode: "Intent Data Is Dead. Alpha Signals Aren’t."

Host: Benjamin Shapiro
Guest: Nick Zeckic, Chief Firestarter at Smoke Signals AI
Release Date: March 2, 2026

Episode Overview

This episode dives into the shortcomings of legacy "intent data" in B2B marketing and advocates for a more precise, actionable approach: building custom, real-time "alpha signals" from unique data points relevant to your business. Benjamin Shapiro and Nick Zeckic discuss why traditional vanity metrics (like MQLs or open rates) are becoming obsolete, and how AI and modern tools allow marketers to hyper-target real buying signals at scale. Nick shares practical frameworks for moving beyond outdated funnel models and creating sales activation strategies rooted in real customer motivation.

Key Discussion Points & Insights

1. The Shortcomings of Legacy Metrics & Intent Data

• Vanity metrics (MQLs, email open rates, SQLs) are outdated.

  • These metrics often reflect engagement "theater," not true revenue-driving activity.
  • (Benjamin Shapiro, 01:15) "If you're operating with pre-AI frameworks, you're confusing revenue generation with engagement theater."

• Intent Data’s limitations:

  • Traditional intent signals are often off-the-shelf, broad, and commoditized—making them unfit for pinpointing real buying readiness.
  • Marketers may artificially manipulate "qualified" numbers by adjusting internal criteria, masking true performance.
  • (Benjamin Shapiro, 05:58) "The volume of people that we're counting are how many we want to count. ... That process was always broken."

2. Why "Alpha Signals" Matter

• Defining Alpha Signals:

  • Custom, actionable insights rooted in specific, observable behaviors or data points unique to your ICP and vertical—far beyond generic intent data.
  • (Benjamin Shapiro, 14:53) "The alpha signal, which is the difference from ... fabricated intent signal. ... Let's call that an alpha signal."

• Deriving them starts with your best sales conversations:

  • Ask star sellers: "What do you hear on a discovery call that makes you KNOW a deal is coming?"
  • Reverse-engineer data proxies for these insights (public GitHub activity, SEC filings, hiring, tech stack signals, etc.)
  • (Nick Zeckic, 07:02) "What is it that you hear in a discovery call that your gut instantly tells you, holy crap, I'm going to get this deal?"

• Many signals are open and free, just under-utilized:

  • APIs, website data, public records, GitHub, FOIA requests, etc.
  • (Nick Zeckic, 10:13) "There is almost nothing on a company's website that you can't programmatically gather with scrapers ... It's actually pretty easy to do" (15:41).

3. The New Demand Gen Process: From Segmentation to Sales Activation

A. Segmentation Is Just a Starting Point

• Define a tight, actionable Ideal Customer Profile (ICP)—most teams are too broad.
• Build trust and awareness through focused outreach and content.
  • (Nick Zeckic, 10:55) "Almost no one ... has an ICP that's tight enough. ... All about two or three degrees away from the ... tightness that you really want to be."

B. Identifying & Scoring Alpha Signals

• Look for composite, high-res signals—often a combination of data points, not just one.
• Example:
  • Software QA vendor mapped public GitHub repo behavior (test run times) to identify latent pain, achieving 90% response rate on outreach.
  • (Nick Zeckic, 13:48) "We could turn around and say, hey, our guess is this might be true for you. The rate at which the response was yes, you're right, was 90%."

C. Data Collection & Activation

• Scrape the right web data, open APIs, filings, and social content.
• Use AI to process and match data, regardless of layout or location.
• Build a system where the signal itself is the basis of your outreach message.

D. Outreach: From Mass Cold to Focused Warm

• Push targeted content to your ICP, measure real engagement.
• Follow up selectively only when you see qualified signs of interest and pain.
• Map messaging not just to firmographics but to psychographic profiles—analyzing individual communication styles and preferences.
  • (Nick Zeckic, 30:02) "We create psychographic profiles ... at the person level, which informs how a subject line gets constructed ... but the core message comes out of the signal."

E. Less Automation, More Human Touch

• Don’t instantly scale every insight with AI bots—start "by hand" to perfect messaging and targeting.
• Only automate once resonance and process are validated.
  • (Nick Zeckic, 33:30) "The best way to answer it is actually do it by hand ... When you're in the by-hand motion, you'll realize it's like, oh, oh, I'm glad I didn't create a prompt like I thought I was going to because I missed all this."

4. Choosing the Right Martech Systems

• HubSpot is favored for its unification, speed, and extensibility—notably better than Marketo or Salesforce/Pardot for Nick's use cases.
  • (Nick Zeckic, 36:40) "HubSpot ... do keep building, they commit new stuff really quickly ... If you think that marketing's job is to enable sales, you should have a marketing system that has ... the same language as the CRM. The only full-featured solution that does that is HubSpot."

Notable Quotes & Memorable Moments

• Vanity Metrics = "Engagement Theater":

  • (Benjamin Shapiro, 01:15) "If you're operating with pre AI frameworks, you're confusing revenue generation with engagement theater."

• On the limitations of traditional MQL/SQL scoring:

  • (Benjamin Shapiro, 05:58) "The QL part ... is a judgment based on the marketing team's decision ... If I want more of them, I just loosen my judgment criteria ... That process was always broken."

• Finding True Buying Signals:

  • (Nick Zeckic, 07:02) "Ask your sales reps: What is it you hear in a discovery call that lets you know 'I've got this one in the bag'? ... Turns out that somebody visiting your website, downloading an ebook, probably doesn't actually mean anything."

• The Role of AI in Gathering Signals:

  • (Nick Zeckic, 15:41) "AI is really good at saying, 'I don't care how this site is organized ... I'm just looking for something generally that is this.' It'll find it."

• On tool hype and what will soon be irrelevant:

  • (Nick Zeckic, 45:32) "I think we're living in a time where ... rappers are dead, right? ... The AISDRs and 11Xs and all those ... I don't see a future for them."

• Most Valuable Signals Nick Would Track:

  • (Nick Zeckic, 44:53)
    1. Public filings (SEC 10-Ks/10-Qs),
    2. Executive hires (VP or C-suite level),
    3. M&A activity.

Timestamps: Key Segments

• Legacy Metrics & the Shift (01:15 – 05:58):
  Why MQLs/SQLs/open rates don't prove value anymore.

• What are Alpha Signals? (13:48 – 15:29):
  Moving from commodity intent to bespoke, actionable signal design.

• Finding Alpha Signals & Process (15:41 – 19:22):
  How to uncover and combine multiple data sources for high-probability triggers.

• From Segmentation to Personalization (21:11 – 24:33):
  Warm outreach, psychographic profiling, and message tailoring.

• The Problem With Over-Automation (24:43 – 29:54):
  Why most AI "SDR" tools fall short and how not to become spam.

• Building the Tech Stack: Why HubSpot? (35:33 – 39:06):
  Discussion on picking unified, extensible martech; Marketo and Pardot's limitations.

• Lightning Round (39:47 – 49:58):

  • Best enduring lesson from two martech exits: Stay bootstrapped (40:05)
  • 3 signals Nick would track forever: Public filings, C-level hires, M&A (42:05)
  • Overhyped AI tool that's not durable: AI SDR bots & workflow-only wrappers (45:05)
  • How to find B2B podcasters: Find firms active on LinkedIn, invest in field and brand, with CEO engagement but no current podcast (49:00)

Actionable Takeaways

• Stop relying on vendor-supplied "intent"—source and build custom buying signals from data unique to your audience and industry.
• Don’t skip deep research: Reverse-engineer the "aha" moment from your sales reps, and find public, scalable data proxies for it.
• Prioritize personalization over scale. Start crafting outreach by hand, leveraging individual psychographic and engagement clues before automating.
• Choose martech that unifies sales and marketing data with minimal friction: Nick champions HubSpot for its balance of power, flexibility, and ecosystem.

Tone & Final Thoughts

Lively, practical, and a bit irreverent, the conversation calls out the status quo while providing a nuts-and-bolts playbook for marketers ready to move beyond the old MQL/SQL era. Nick Zeckic’s advice aims squarely at modern growth marketers, growth hackers, and GTM strategists tired of "engagement theater"—and ready to find signals that close real business.

Further Reference

• Connect with Nick Zeckic via LinkedIn or visit smokesignals.ai
• Check out the mentioned free alpha signal tool at smoke signals ai
• For marketers interested in how AI "sees" your site, visit scrunch.com

Summary prepared for busy marketers seeking the next evolution in demand gen and meaningful signal detection.