GTM Playbooks
Tactical guides for building outbound systems that actually work. Frameworks from real engagements, not thought leadership theatre.
Tactical guides for building outbound systems that actually work. Frameworks from real engagements, not thought leadership theatre.
The Playbook, weekly newsletter
Every playbook below drops to subscribers first, weeks before it's public. Plus GTM frameworks, outbound teardowns, and what's actually working across our client base.
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All playbooks, dropping to subscribers first
The provider stack, the ordering economics, and the Claude tool definition that turns enrichment from a Clay table into a capability your agents call.
Context files, skills, memory, and approval rails: the four layers that turn Claude from a chat window into an operating system your whole team runs on.
50-90 words, one real signal, one low-friction ask, four steps over two weeks. The complete framework, not just the opener.
Four layers, data through routing, each one gating the next. A human researching accounts one at a time cannot compound; a pipeline can.
A complete setup guide for account scoring, enrichment waterfalls, and automated research pipelines.
The invisible infrastructure problems that let pipeline disappear before it reaches your reps.
Domain math, DNS, warmup, and the test-send gate: the infrastructure stack for cold email that actually gets delivered.
The exact audit framework we run when a company tells us their cold email is broken. Six root causes, in priority order.
Not a listicle. Our actual stack, fully transparent -- what we use, what we tried, what we dropped, and what it costs.
What GTM engineers build, how the role differs from RevOps, what it costs, and when fractional makes more sense.
A practical guide to choosing between an in-house hire and a fractional GTM engineering team.
Ten agencies working the GTM engineering and outbound space for B2B SaaS, compared on what they build, who they serve, and what they charge. Alphabetical, not ranked.
Same function, different shape: a full-time GTM engineer hire versus fractional GTM engineering. Timeline, coverage, ownership, and when each model wins.
A fair look at ColdIQ, Frontal, and alternatives if you want GTM engineering, signal-based outbound, or a data API, without a ranked smash piece.
ChatGPT, Perplexity, and AI Overviews recommend vendors from third-party proof and consistent entities—not from your homepage pitch. A GTM engineering playbook for earning citations where outbound buyers already ask.
A measurement framework for ChatGPT, Perplexity, and AI Overview mentions that ties prompt baskets to pipeline—not composite vendor dashboards.
Answer-first Apollo plan table for 2026: seat prices, credit shape, mailbox caps, and how to model total cost before you buy seats you will not use.
Answer-first Smartlead plan table for 2026: Base through Unlimited Prime list prices, contact vs send credits, verification add-ons, and how to model total cost before you buy more sends.
Answer-first Clay plan table for 2026: Free through Enterprise list prices, Actions vs Data Credits, FAQ vs card conflicts, and how to model total cost before you buy more credits.
Answer-first Instantly plan table for 2026: Outreach tiers, Bundles, Credits, SISR, and how to model total cost when the pricing page has multiple tabs.
Criteria-first guide to cold outbound partners: execution partners vs stack partners, what to demand in a contract, and when fractional GTM engineering beats a rented appointment shop.
Criteria-first read on AI SDRs in 2026: what the category actually is, where full automation fails, when human-in-the-loop / agency / hire is the better bet — without fabricated reply-rate stats.
What cold email and outbound agency pricing actually buys, how DIY / partner / hire differ as jobs, and a criteria-first way to choose — without invented cost-per-meeting numbers.
A diagnostic guide to cold email metrics in 2026: why open rates lie, which operating metrics to trust, how to read your own weeks against yourself, and what failure modes mean — without invented industry reply-rate tables.
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