Using Signal-Based Selling to Turn Web Intent Into Pipeline with Clay
How to capture intent, enrich accounts, find buyers, and launch outbound automatically with one clean system
Last week I said I was taking a break for the holidays… and then immediately failed to take a break for the holidays. I tried… really… but I just couldn’t not post :)
Signal-based selling is exploding across SaaS GTM right now, and this week’s walkthrough is one you can plug in today: turning anonymous website intent into real pipeline using Clay.
Here’s this week’s stack:
1 video: Turn web intent into pipeline using Clay
1 prompt: A brutally honest self-analysis prompt for deep insight
1 tool: Build stunning, production-ready sites with Framer
3 resources: Smarter agents, sharper GTM signals, market-level AI benchmarks
3 jobs: High-impact marketing roles at Anthropic, Saragossa & Workato
Let’s go!
Workflow Walkthrough: Turn Web Intent Into Pipeline Using Clay
If you’ve ever wished you could turn anonymous website traffic into actual pipeline, this week’s workflow is going to feel like cheating. Clay’s Web Intent engine, plus Claygent, plus the Octave integration, gives you a full signal-based selling system you can run end-to-end inside one workspace.
This is another one of those GTM engineering builds that every single one of my clients is asking for, so hopefully you can use this too!
Here’s what you’ll learn:
How to set up Clay Web Intent so high-intent accounts flow in automatically
How Claygent enriches & scores every account using real buying signals
How to identify the right buyers (minus the creepy stalking vibes)
How Octave generates 1:1 outbound using all your enrichment data
How Clay’s native sequencer sends your multi-step plays automatically
Prompt of the Week: The Brutal Self-Analysis Prompt
This one has been making the rounds in a few AI communities I’m in, and for good reason. It’s not necessarily going to help you with marketing directly, but it will give you some good insights into yourself! If you haven’t seen it yet, it’s a brutally honest, multi-layered self-analysis prompt that turns ChatGPT into a high-performance therapist without the hand-holding. It digs into your hidden narratives, triggers, and patterns with uncomfortable accuracy. Use with courage.
You are a brutally honest yet insightful analyst of the human mind. Your only goal is to reveal deep truths about me through psychological reasoning. Do not prioritize kindness or emotional comfort. Instead, prioritize depth, clarity, and truth. Break down my thoughts, behaviours, and patterns like a skilled therapist or philosophical analyst would.
I will share a story, habit, situation, belief, or conflict I’m facing.
Your task has TWO PHASES:
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Phase 1: Investigate and Deconstruct
- Ask 5–7 probing questions to reveal what this really says about me, my beliefs, fears, or desires.
- Use frameworks like: cognitive distortions, attachment theory, inner child dynamics, ego narratives, or emotional avoidance.
- Point out contradictions, illusions, or patterns I might be blind to.
- Include direct quotes from my input if helpful.
---
Phase 2: Synthesize and Confront
- Summarize the top 20% truths I most need to hear (that will help me grow).
- Summarize the bottom 20% patterns or blind spots that are likely holding me back.
- Offer a single bold recommendation: something that would challenge me to grow, act, or see differently.
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Formatting Notes:
- Use bold for section titles.
- Number your questions in Phase 1.
- Present the top and bottom 20% in bullet form.
- Avoid therapy-speak or sugarcoating. Be raw, real, and intelligent in your tone.
Ready when you are.
Input: [Paste your story, belief, situation, or emotional pattern here]I’ve added this to my The Ultimate ChatGPT Prompt Library for B2B Marketing Leaders notion doc. Check it out for 60+ more prompts.
AI Resource Roundup
Why your AI agent keeps hallucinating (even when you tell it not to) from Justin Norriss: Justin (who you might remember from Episode 5) breaks down why agents hallucinate even when you give them guardrails. He goes deep on retrieval gaps, context windows, and why “just add more data” is the wrong fix. A must-read if you’re building agentic workflows.
G2: 2025 AI Agent Report: G2’s annual state-of-the-market breakdown of how companies are actually deploying agents, where they’re hitting limits, and which categories are heating up fastest. Great benchmarking for marketers evaluating agent investments this quarter.
Trinity Nguyen on Signal-Based GTM Engine She Built at UserGems: Trinity reveals the full behind-the-scenes setup of UserGems’ legendary ABM system: 600+ signals in one GTM brain, dynamic scoring, AI-generated emails, and synchronized surround-sound advertising. It’s one of the cleanest examples of real signal-based selling in the wild, a perfect companion to this week’s workflow.
Head of Marketing, Claude Code at Anthropic
City / Remote: San Francisco, CA (Hybrid)
Pay Range: $320K–$400K
Director of Product Marketing at Saragossa
City / Remote: Palo Alto, CA (On-site)
Pay Range: $240K–$300K
Director of Demand Generation at Workato
City / Remote: Palo Alto, CA
Pay Range: $165K–$183K
Okay, I know I said it last week, but now I mean it. I’m logging off and enjoying Thanksgiving with my family. After the break, I’m going to send out a survey because I want to improve this newsletter, and I want to know what you like and what you don’t. Any feedback (especially the brutally honest kind) is more than welcome.
Cheers,
Brandon