# Kyle Poyar

Kyle Poyar writes and advises on growth, go-to-market strategy, and pricing for B2B software and AI companies. He is the founder of Growth Unhinged.

- Profile: https://b2binfluencer.marketing/creators/kyle-poyar/
- LinkedIn: https://www.linkedin.com/in/kyle-poyar
- Median of last 9 posts: 173 reactions, 101 comments (checked 2026-11-02)
- Topics: artificial-intelligence, sales, go-to-market-strategy, pricing-strategy
- Based on 8 dated posts, latest 2026-10-01

## Summary

Kyle Poyar is most useful for practical B2B growth, go-to-market, pricing, and signal-based outbound guidance backed by research and examples.

- Best for: B2B SaaS growth tooling brands seeking sponsored research or playbooks on signal-based outbound and AI-native GTM.
- Not for: AI SDR vendors wanting high-volume cold outreach or claims that automated cold email beats every channel.
- Check first: Confirm audience demographics and recent performance on signal-based outbound, AI-native GTM, and pricing placements.

### Takeaways

- Pricing plans now go stale within about six months, so pricing needs a standing system.
- Fix existing pricing before switching to usage- or outcome-based models, which can complicate forecasting.
- The best channel depends on company size, so no single ranking applies to everyone.

## Main ideas

- **Pricing plans now go stale within about six months, so pricing needs a standing system**: Kyle Poyar argues that pricing used to hold for 18 to 24 months and can now be out of date within six, which makes a one-off repricing project the wrong response. The method they recommend is a continuous loop: keep collecting fresh evidence on what customers value, treat call recordings as the best real-time source, extract themes monthly with an AI skill, and watch for changes rather than waiting for the next review. They point to Salesforce being on its fifth AI pricing model in under two years, and to Anthropic overhauling enterprise pricing by lowering per-seat prices, embracing usage-based pricing at API rates, and testing Claude Code on the Max plan only, which drew backlash.
- **Fix the pricing you already have before switching to usage- or outcome-based models**: Kyle Poyar argues that usage- and outcome-based pricing has become fashionable — investors now push portfolio companies to "get in the token path" — but that it carries real costs: harder forecasting, weaker predictability, and sales compensation headaches. Hybrid pricing gets too complicated to explain, and seat pricing limits expansion revenue. The advice is to start with smaller changes to pricing and enablement, and to treat credit and token pricing as heading toward commoditization as buyers swing toward cost optimization and ROI.
- **Pricing is a positioning exercise, not just a number**: A repeated claim across the pricing material is that pricing tells a story about who a product is for and why it beats the alternative, so pricing choices are also messaging choices. That framing leaves an open question Kyle Poyar returns to: whether customers want to pay for intelligence or for the work that intelligence delivers.
- **Work at one end of the barbell: exceptional relationships or exceptional AI, because the middle stalls**: The summary line Kyle Poyar repeats across the channel research is that there are two ways to win — being exceptional at relationships and being exceptional at AI — and that the space in between is where companies get stuck. The tiering follows from that: relationship-heavy motions and AI search sit at the top, while generic automation sits at the bottom.
- **The best channel depends on company size, so no single ranking applies to everyone**: Kyle Poyar argues that channel advice has to be read against company stage, ARR, and deal size, which is why the report splits its data rather than publishing one leaderboard. A channel that leads for a small company can be the wrong bet at scale, and vice versa.
- **Signals are widely used but shallow; combine first-party data and let agents stack them**: Kyle Poyar treats signal-based outreach as the buzziest term in GTM while pointing out that teams act on a narrow set of signals. The most common are content engagement, website visits, and product usage; third-party signals such as champion job moves, hiring activity, leadership changes, company news, and technology changes lag well behind, even though a stack refresh can be the clearest sign a company is buying. Their conclusion is that agents suit scanning target lists for stacked signals and suggesting plays, and that the most defensible plays combine data only you have with outside data about when and why to reach out.
- **For AI products, churn is a see-you-later rather than a goodbye**: Kyle Poyar reports that about 10% of churners at AI-native companies come back within 12 months, and half of those returns happen within 60 days of cancelling. The implication is that retention work should be designed around return: audit the cancellation flow for dark patterns that could close the door, run win-back sequences at day 1, 30, and 60, use intent signals for reactivation rather than only acquisition, and make returning one click by preserving the customer's workspace, data, settings, and integrations.
- **Without product-messaging fit you will never have product-market fit**: Kyle Poyar complains that every homepage sounds the same and that AI has made already boring positioning worse. Their recommended fix is to hold the company's context in one place — an AI project containing call transcripts, customer stories, sales objections, competitive alternatives, the reason for repositioning, the language to move away from, and the company's voice — then layer trusted positioning frameworks with your own notes on top, produce two foundational documents covering value drivers and language, write the homepage first, test it on real people, get a fresh outside opinion, and roll the new positioning out everywhere.
- **Brand partnerships are now the economics behind independent B2B research and creators**: Kyle Poyar argues that B2B creators are niche practitioners whose platforms are newsletters, LinkedIn, and communities, and that brands should diversify across them rather than concentrate spend. Newsletters come out ahead because people actually read them, the ad arrives in the creator's voice, and no algorithm sits in the way. The price of a collaboration scales with audience size, landing the first deal is easy, and renewals are where most creators and brands go wrong. The audience conditions for good results are ICP fit, an engaged audience that actually sees the ad, and a compelling offer, with webinars and content working well; creators typically land in brand marketing and expand in growth marketing.

## Work to read

- [The 2026 GTM channel scorecard (State of B2B GTM, with Maja Voje)](https://www.linkedin.com/posts/kyle-poyar_im-excited-to-introduce-the-2026-gtm-channel-activity-7519382833593933824-IOif)
- [What signals B2B teams actually act on (300-team survey)](https://www.linkedin.com/posts/kyle-poyar_i-just-asked-300-b2b-teams-about-whats-working-activity-7516838394052915200-ky03)
- [A champion-tracking play written with Clay](https://www.linkedin.com/posts/kyle-poyar_claypartner-activity-7510341866568024064-gGx7)
- [What brand partnerships earn a solo B2B creator](https://www.linkedin.com/posts/kyle-poyar_brand-partnerships-drove-55-of-my-revenue-activity-7521200753999364096-uW1x)
- [Pricing advice for Series A-D founders, after advising 20+ of them](https://www.linkedin.com/posts/kyle-poyar_in-the-past-9-months-ive-advised-20-series-activity-7518300118534656000-EjqG)
- [Close reading of the Anthropic S-1 pricing risk factor](https://www.linkedin.com/posts/kyle-poyar_ive-consumed-so-much-content-about-the-anthropic-activity-7522008205128867841-7Fk6)
- [A repositioning case study from the newsletter: eWebinar](https://www.linkedin.com/posts/kyle-poyar_i-am-so-tired-of-every-homepage-sounding-activity-7518662249729773570-BWlK)
- [Churn data showing AI customers come back](https://www.linkedin.com/posts/kyle-poyar_this-surprised-me-ai-natives-see-10-of-activity-7517927087056412672-Ys-w)

## Brand relationships

- **Growth Unhinged** (owned_business)
- **Clay** (disclosed_partnership)
- **beehiiv** (disclosed_partnership)
- **Profound** (sponsor)
- **Ploy** (sponsor)
- **Sumble** (sponsor)
- **Primer** (sponsor)
- **Salesforge.ai** (sponsor)
- **Passionfroot** (sponsor)
- **Civic Technologies** (sponsor)
- **ChartMogul** (employment)
- **Stigg** (mention)

## Partnerships

Kyle Poyar's documented partnership activity centers on Growth Unhinged, the newsletter and research brand Kyle Poyar runs, and on paid placement inside B2B go-to-market research. The clearest first-person figure is Kyle Poyar's own disclosure that brand partnerships drove 55% of revenue over a 12-month period, described as the biggest line in a seven-figure solo business. The disclosed collaborations are of two main kinds: newsletter sponsorships read inside Growth Unhinged, and named partner roles in the annual State of B2B GTM research report and its launch event. Kyle Poyar also publishes vendor play content, such as an AI-native champion-tracking play built in Clay, marked with the #claypartner hashtag; the hashtag alone does not establish paid terms, and no rate was stated for that work. Kyle Poyar describes the B2B creator deal range as $1,000 to $15,000 per collaboration and prices newsletter placements by subscriber count: 2,500 to 10,000 subscribers suits programmatic buys across many creators, 10,000 to 40,000 suits direct sales at roughly $1,000 to $5,000 per collaboration, and 40,000-plus supports $5,000 to $15,000 per collaboration at $20,000 to $100,000 per month, booked three or more months ahead. No official media kit, sponsor page, or published rate card appears in the reviewed material, so inquiry routing is unverified. This section covers only the partnership formats and terms the reviewed posts actually show; it does not confirm availability, current pricing, or that Kyle Poyar accepts any particular deal.

## Alternatives

- Yaniv Mazor: Choose Yaniv Mazor if the campaign needs to show how signal-based outbound fits into a broader, measurable revenue system. In the reviewed post, Mazor describes connecting paid acquisition, signals, routing, outbound and attribution, then argues that teams should trace leads through to closed-won before deciding where to spend. That makes a better match for a sponsor whose product links data or channels across the GTM stack, rather than one centered on a specific champion-tracking play.
- Rami Zwebti: Choose Rami Zwebti if the campaign’s main question is how to make AI agents safe and dependable once they can act across business systems. The reviewed post emphasizes least-privilege access, checkpoints, verification after consequential actions and recovery from stalled work. That would suit a sponsor selling agent controls or operational reliability, or a brief focused on the risks of automating GTM actions.
- Michael Nisbet: Choose Michael Nisbet if the campaign is aimed at enterprise sales teams and its central promise is helping sellers manage complex deals. His posts describe multi-threading, finding the economic buyer, recognizing silence as a warning sign and learning from losses. That gives a sponsor a human, deal-level angle on what happens after outreach creates an opportunity.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/