Jared Robin X Evan Dunn | Beyond Intent Signals

Why It Matters

Integrating AI‑enhanced job‑description mining with outbound targeting transforms prospect quality, delivering substantially higher conversion rates and more efficient use of sales resources.

Key Takeaways

• Leverage job descriptions to pinpoint high‑value outbound targets.
• AI analysis revealed accounts 15× more likely to become customers.
• Filtering by outbound, phone, and full‑cycle cues boosts meeting rates.
• Combine static job data with real‑time signals for optimal outreach.
• Using Clay’s enrichment streamlines large‑scale job description extraction.

Summary

In this Beyond Intent Signals conversation, Jared Robin interviews Evan Dunn, Titan X’s head of marketing, about a data‑driven framework that uses job‑description mining and generative AI to sharpen outbound prospecting. The discussion centers on how Titan X built a workflow that extracts job postings for key roles—SDR, AE, RevOps, and demand‑gen—feeds them through the Gemini API, and isolates three high‑value signals: explicit outbound activity, phone‑based calling responsibilities, and full‑cycle sales ownership.

Evan explains that accounts matching all three signals are fifteen times more likely to become customers and six‑point‑five times more likely to appear in the pipeline, a stark contrast to the broader 12‑18% baseline. By applying this filter to a 28,000‑account universe, the team observed SDRs double their meeting‑booking rates—from 8% overall to 18% when the signals align, and a striking 42% for the most qualified titles. The methodology also surfaced anecdotal evidence, such as the “Isaac Morehouse” incident, underscoring the noise around commoditized intent versus the precision of job‑description data.

The conversation highlights practical tactics: leveraging Clay’s enrichment integrations to pull historical and current job descriptions, using AI to parse language for outbound relevance, and layering these static insights with real‑time intent signals for a balanced outreach cadence. Evan stresses that while AI can automate discovery, the human element—personalized calls referencing specific JD excerpts—drives credibility and conversion.

For B2B marketers, the takeaway is clear: job‑description intelligence offers a high‑signal, low‑noise foundation for account selection, and when combined with timely intent data, it can dramatically improve connect rates, meeting bookings, and ultimately pipeline velocity.

Original Description

Evan walked Jared through his 15X Framework, which uses AI to scan tens of thousands of job descriptions for specific internal priorities, a signal that doesn't decay in 48 hours.