# Crevan O'Malley

Crevan O'Malley writes about HubSpot, CRM and B2B growth, sharing product perspectives and observations from industry events.

- Profile: https://b2binfluencer.marketing/creators/crevan-omalley/
- LinkedIn: https://www.linkedin.com/in/crevanomalley
- LinkedIn followers: 7,161
- Topics: artificial-intelligence
- Based on 10 dated posts, latest 2026-10-01

## Summary

Crevan O'Malley is most useful for written LinkedIn thought leadership on HubSpot, CRM, customer data, and AI in go-to-market.

- Best for: A B2B SaaS CRM or AI-in-go-to-market brand comfortable with HubSpot-oriented LinkedIn thought leadership.
- Not for: Not for competing CRM vendors or independent B2B software brands seeking neutral comparisons and measurable enterprise demo requests.
- Check first: Confirm paid partnership status and request recent results plus audience demographics.

### Takeaways

- Poor context makes AI worse than no context at all.
- AI belongs inside the CRM and inside the tools teams already use.
- Judge AI by outcomes, not by adoption.

## Main ideas

- **Poor context makes AI worse than no context at all**: O'Malley calls 'context' the buzzword of the moment, then turns the argument around: most context is generic, and poor-quality context is worse than none because AI acts on whatever it is given. The remedy is 'Growth Context', a single, current picture of a business, its customers and its team, plus a Smart CRM that automatically captures calls, emails and meetings so the data does not go stale. The argument is about the data layer, not the model.
- **AI belongs inside the CRM and inside the tools teams already use**: Rather than replacing the CRM, O'Malley argues that AI should work in, on and through it. The more interesting question, they say, is which CRM is ready for that today. The value here is not in choosing a winning model but in whether customer data travels with the model the team already uses. They also concede that Salesforce's announcement with Anthropic is good news for the whole SaaS and CRM category, keeping the piece a category argument rather than an attack.
- **Judge AI by outcomes, not by adoption**: At UNBOUND in Boston, O'Malley contrasts two figures attributed to Yamini Rangan: 90% of companies use AI, but only 6% see transformational results. They argue that the 6% are not chasing technology but staying focused on demand, deals and customers. The useful question, they say, is whether AI moves an established business goal, not whether a company has adopted the latest tool. The post presents the product figures as HubSpot's own; buyers should ask for independent validation.
- **Adaptation is a team and field problem, not a purchase**: In the DMEXCO recap, O'Malley describes cross-functional, customer-facing work, with DACH go-to-market teams across marketing, sales, services, channel and business development showing up for customers and partners. They credit colleagues by name and use the week's conversations to show where AI actually sits in the business, putting people and field observation ahead of the product narrative.

## Work to read

- [UNBOUND recap: the 90% versus 6% AI gap](https://www.linkedin.com/posts/crevanomalley_successleavesclues-activity-7506301720495390720-f9aa)
- [Why generic context makes AI worse, not better](https://www.linkedin.com/posts/crevanomalley_boston-successleavesclues-activity-7506794710460436480-1EAb)
- [DMEXCO field notes: what a two-day stand actually looks like](https://www.linkedin.com/posts/crevanomalley_dmexco-hubspot-growbetter-activity-7509288594717560834-U_cB)
- [Boston versus San Francisco: CRM rivalries and the point of connectors](https://www.linkedin.com/posts/crevanomalley_hubspot-is-the-first-crm-to-have-connectors-activity-7505342045507649536-_3k1)

## Brand relationships

- **HubSpot** (employment)
- **Salesforce** (mention)

## Partnerships

No partnership or sponsorship offer is documented in the material reviewed for Crevan O'Malley. The available posts offer event and product commentary tied to HubSpot, in an employee or team voice rather than as a paid creator arrangement. They promote HubSpot's Agentic Customer Platform, Growth Context, Smart CRM, Breeze Assistant and Marketing Studio, and refer to "our customers," "our GTM machine," and "our most significant product release in years." Naming a company, product or event hashtag does not establish payment; the posts disclose no sponsorship terms, rates, deliverables or media kit. Brand planners should treat the profile as having no verified commercial formats at the time of review, not assume O'Malley never accepts sponsorship work. For a partnership inquiry, contact them through the LinkedIn profile linked on this page; no official partnership or sponsorship inquiry page was found.

## Alternatives

- Yamini Rangan: Choose Yamini Rangan when a campaign needs an executive-stage voice describing what a CRM platform now does, rather than a method the reader can run alone. The UNBOUND post walks through three named releases in order: Marketing Studio for planning and running omnichannel campaigns, a CRM that updates itself and moves deals to the next stage, and a rebuilt Breeze Assistant. It then gives one worked prompt for a marketer and one for a sales rep, a usable structure for a brand telling its own product story role by role. The vibe-coding post covers the same data-quality ground from the opposite direction: it argues that a hand-built CRM still needs 2000+ integrations (their figure), domain depth and a security audit, and anchors the point in a customer conversation about delivering forecasts to a board. If the campaign's job is to make a platform's direction feel set and answer the 'we could build this ourselves' objection, this is the stronger choice.
- Gabriel Marguglio: Choose Gabriel Marguglio when the buyer task is agency-side: helping a company adopt a CRM and connect that adoption to AI-era visibility. The AEO agency post names three capabilities buyers should look for (CRM expertise, SEO and AEO strategy, and the ability to connect AI, marketing, sales and service through CRM data) and shows the writer's own ladder from website and SEO work through inbound, growth, AI-powered inbound and AEO growth, with two dated claims (24 years in business, more than 13 years on HubSpot) and a client onboarding review as proof. The agents post supplies the complementary framing: internal context (CRM data, processes, customer history, sales conversations, tickets) and external context (what AI systems know about the brand), plus a three-step progression from Google search to LLMs to agents that research and recommend on the human's behalf. If the campaign ends in 'who do we hire to do this' rather than 'why does context matter', this is the closer match.
- Jasper Meurs: Choose Jasper Meurs when the campaign is about helping practitioners prepare for and use a conference, or when the adoption case is assembled from outside data. The game plan post sets a specific problem (12 days out, 200+ sessions, how to leave with something that changes work at home) and answers it with a named nine-speaker lineup, a set of planning questions and a live goal-polling agenda for a free session that already had 30+ sign-ups. The adoption post takes KPMG's Q3 AI Pulse finding (44% reporting significant workforce AI adoption, up from 23%) and a keynote line that 'AI with bad context is worse than no AI at all', then turns them into two questions a team can answer: is AI pointed at the work where context matters most, and has the business built the systems that feed it clean CRM data, a documented ICP, logged call notes and a written brand voice? For a demand-generation campaign aimed at a live event or a survey release, this is the more usable pattern.

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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/