Kyle Poyar recently shared something that caught my attention: "I've written 200+ newsletter issues in the last 5 years, and I've never been more pumped about my backlog." He then laid out "what to expect over the next 6 weeks" - a tight run of reports, playbooks, and interviews spanning AI for GTM, conversion benchmarks, newsletter growth, and pricing.

That post reads like a simple content teaser. But it also reveals a repeatable approach to building audience, trust, and pipeline in B2B: create a clear editorial backlog, anchor it to concrete data and operators, and ship it on a predictable cadence.

Below, I want to expand on what Kyle is signaling here, why it works, and how you can apply the same thinking to your own GTM content strategy.

The hidden strategy in a "backlog" post

A backlog is not just a list of ideas. It is a commitment device.

When someone with Kyle's track record says he is "more pumped" about his backlog after 200+ issues, that is a cue: the value is not only in any single issue. It is in the compounding system.

"Watch this space." is a promise of continuity, not a one-off post.

In B2B, continuity is leverage. Buyers do not wake up ready to buy after one clever insight. They warm up through repeated exposure to useful perspectives, credible data, and familiar faces.

A visible backlog does three things:

Sets expectations for the audience.
Creates a narrative arc (readers stick around for the next installment).
Forces the creator to think in themes, not scattered topics.

Kyle's list also shows a smart mix of formats: reports with partners, deep dives, interviews, and predictions. That variety keeps a newsletter fresh while still staying anchored in a single identity: real-life growth insights.

1) State of AI for GTM: make AI practical or do not bother

Kyle tees up an inaugural "State of AI for GTM" report with Maja Voje featuring "40+ real-life AI GTM plays" from "30+ B2B GTM leaders." The phrasing matters. "Real-life" and "plays" implies implementable workflows, not abstract hype.

If you are building content in 2026, AI is table stakes. But the bar has shifted from "AI is coming" to:

Which job does AI do better, cheaper, or faster today?
What is the workflow, step by step?
What broke when you tried it?

A strong AI for GTM report usually includes patterns like:

Prospect research copilots that produce account briefs tied to your ICP.
Agentic onboarding that adapts based on product signals.
Lifecycle messaging that reacts to activation and usage milestones.

The opportunity for your content: stop talking about tools as a list. Talk about tools as a sequence.

2) Conversion benchmarks: earn trust with uncomfortable numbers

Next, Kyle highlights a conversion report with ChartMogul and ProductLed analyzing "free-to-paid conversion data" across "200+ self-serve products." This is classic credibility building: big sample size, reputable partners, and a question every PLG team cares about.

Benchmarks do more than inform. They force decisions.

If your conversion is below a credible benchmark, you either:

Fix the product and onboarding.
Fix the offer and packaging.
Fix the targeting.
Or accept that your model is different and explain why.

Content that includes benchmarks also creates natural follow-ups: teardown posts, segmentation (SMB vs mid-market), and "what we changed after seeing the data" case studies.

Kyle also mentions a deep dive on growing a B2B newsletter with beehiiv, based on scaling Growth Unhinged to "82,000+ subscribers" with "zero paid ad spend" (while noting he is "starting to rethink paid ads").

This is a powerful combination of authority and honesty:

Authority: the outcome is concrete and rare.
Honesty: even with success, the strategy can evolve.

If you are growing a newsletter (or any owned audience), the most important lesson is that distribution is a product.

A practical newsletter growth playbook typically covers:

Positioning: what you are the "go-to" source for.
Consistency: a schedule readers can rely on.
Collaboration: co-authored reports and interviews.
Repurposing: turning each issue into multiple LinkedIn content posts.

And on paid ads: Kyle's reconsideration is a reminder that "zero paid" is not a moral badge. It is a business tradeoff. If you have strong unit economics and a proven retention curve, paid can be rational acceleration.

4) The AI-led growth stack: the next frontier is agentic experiences

With Kate Syuma, Kyle is investigating "agentic experiences" across onboarding, lifecycle comms, user research, and more.

This is where AI stops being a feature and starts being an operating model.

Consider what changes when you treat growth work as a set of agents:

An onboarding agent that detects confusion and triggers the right help.
A research agent that recruits users, schedules calls, and summarizes themes.
A lifecycle agent that drafts messages based on real usage signals.

The growth stack is shifting from tools you click to systems that act.

For content creators, this is fertile ground because teams need examples, guardrails, and metrics: what you automated, what you kept human, and how you measured lift.

5) AI-native orgs: show the operating system, not just the product

Kyle also previews an "AI-Native Org" report featuring interviews from "12" AI-native unicorn founders.

Founders are compelling, but the real value comes from how they run the company:

What functions changed first (support, sales, engineering, ops)?
What did they standardize (prompts, evaluations, QA)?
What did they refuse to automate?

If you are a buyer, this content helps you benchmark your own org. If you are a builder, it gives you language to sell transformation, not just software.

6) Fighting buyer status quo: pipeline losses are often invisible

Kyle mentions a conversation with Jen Allen-Knuth about stopping the loss of pipeline to "buyer status quo." That phrase is blunt and accurate.

Most deals do not end because a competitor is better. They end because doing nothing feels safer.

To address status quo, content needs to:

Name the cost of inaction in the buyer's terms.
Provide a low-risk first step (pilot, audit, phased rollout).
Equip champions with internal messaging.

This is also a reminder: growth content is not only for top-of-funnel. It can be sales enablement that reduces deal slippage.

7) Personal emails as pipeline: treat relationships like an owned channel

Kyle previews advice on turning personal emails into a pipeline source with Nathan Merzvinskis.

Personal email works because it sits at the intersection of relevance and trust. It is not a blast, it is a relationship.

A healthy approach looks like:

Periodic, specific check-ins tied to a real trigger.
Sharing a relevant insight or artifact (benchmark, template, short loom).
Asking for a small, clear next step.

The meta lesson: audiences are not only built on platforms. They are built in inboxes, calendars, and small circles.

8) AI pricing: the credits backlash is a GTM signal

Finally, Kyle teases a prediction: where AI pricing goes next as enterprise buyers push back against credits.

This is an important trend to watch. Credits can be attractive for early-stage monetization, but they often create friction for procurement and forecasting. Enterprises want predictability.

Likely directions include:

Hybrid pricing: base platform fee plus usage tiers.
Outcome-based components where feasible.
Clear guardrails: caps, alerts, and governance.

If you sell AI products, your pricing content should educate buyers on the tradeoffs and reduce fear around runaway costs.

A simple takeaway: build an editorial roadmap that matches your GTM motion

Kyle's post is a masterclass in aligning content with what B2B teams actually need:

Data (conversion benchmarks).
Playbooks (AI GTM plays, AI-led growth stack).
Social proof (founder interviews).
Enablement (status quo, personal email pipeline).
Forward-looking POV (AI pricing).

If you want to replicate this, try this lightweight framework:

Pick 3 themes for the next 6 to 8 weeks.
Commit to 1 flagship asset per theme (report, interview series, benchmark).
Partner with credible operators to raise signal.
Ship consistently, then repurpose into LinkedIn content, email, and sales collateral.

The point is not to be everywhere. It is to be reliably useful in one lane.

This blog post expands on a viral LinkedIn post by Kyle Poyar , Growth Unhinged | Real-life growth insights, playbooks, and case studies. View the original LinkedIn post →