# Hannon Brett

Hannon Brett shares practical advice on B2B marketing, with a focus on improving live-event pipeline and ROI, building AI-supported go-to-market systems, and choosing marketing priorities for early-stage startups.

- Profile: https://b2binfluencer.marketing/creators/hannon-brett/
- LinkedIn: https://www.linkedin.com/in/hannonbrett
- LinkedIn followers: 9,986
- Topics: artificial-intelligence, sales, startup, account-based-marketing, event-marketing
- Based on 25 dated posts, latest 2026-09-03

## Summary

Most useful for practical B2B event pipeline and ROI advice, plus AI-supported go-to-market systems.

- Best for: B2B SaaS teams improving event ROI, MQL definitions, and go-to-market sequencing.
- Not for: Consumer-facing paid sponsorship, product placement, affiliate codes, or broad 18-34 reach.
- Check first: Ask for supporting evidence for ROI benchmarks and reported performance claims.

### Takeaways

- Badge scans are foot traffic, not leads.
- Pre-event work, not the show floor, decides whether an event produces pipeline.
- A $35,000 event produced 15 MQLs, or $2,333 per MQL.

## Main ideas

- **Badge scans are foot traffic, not leads**: Brett argues that most event teams count booth visitors as leads, then never attach a cost or pipeline number to the event. Their working definition is narrower: an event MQL fits the ideal customer profile, has confirmed an actual need, matches the solution on offer, and has a follow-up meeting set. The arithmetic is simple — total event cost divided by real MQLs — and Brett wants that number compared across events and against other channels. Repeat the same tracking for every event to cut underperformers and fund events that return 3x or better. The audience is finance: a CFO cares about attributed pipeline and revenue, not “great conversations” or brand presence.
- **Pre-event work, not the show floor, decides whether an event produces pipeline**: Brett treats the weeks before an event as strategy, not logistics. Registration, booth shipping, and travel are the easy part; the hard part is agreeing on roles, targets, a shared definition of a qualified lead, and clear ownership in a full kickoff rather than a Slack message, with sales involved from the start. Outbound to the attendee list should already be running, aiming to book 20 to 30 meetings before opening day. The team should share one tracker, updated daily, and use a final sync 48 hours before travel to settle who works what, the pitch, the demo, and what counts as pipeline. A weak opening day, Brett argues, exposes planning that was never done. That planning is where event ROI is incubated.
- **Sales ignores event leads because the list is not trustworthy**: Brett blames stalled event follow-up not on sales laziness but on bad lists. Relabel badge scans as MQLs and lead quality drops, follow-up fatigue builds, and reps turn to higher-confidence work — leaving event leads untouched while they return to piled-up inbound and existing pipeline. Brett's proposed fix runs in both directions: qualify people before scanning their badge, partner with sales from pre-event through closed/won or closed/lost, follow up within 24 hours, and make the handoff frictionless so every lead is worked to an outcome. In their framing, event leads are the hottest and highest-velocity opportunities in B2B, and they die fastest without this.
- **AI belongs inside marketing operations, not in a center of excellence**: Brett argues against treating AI as a separate team or toolbox. Embed it in the functions that produce revenue — paid and organic media, lifecycle marketing, content production, personalization — and connect those functions through one central strategy; random tool use simply accelerates existing inefficiencies. Brett attributes weak AI returns to organizational, not technical, problems: most teams lack an operating system of workflows, governance, and strategy for the tools to plug into. Two further positions follow. When cutting, legacy agency execution usually goes before internal headcount: internal teams retain institutional knowledge, while agencies mainly supply execution AI can now replicate. Shadow AI is already present inside marketing teams, with people using personal tools for content, research, and analysis; it creates security and consistency risks that need fixing. On search, Brett says AI is not eliminating SEO but is eating traditional Google traffic, making GEO and AEO a requirement rather than an option.
- **Build the system before the headcount**: For recently funded seed and Series A companies, Brett reframes the post-raise problem as strategic sequencing, not budget. Board pressure for pipeline pushes founders toward hiring, an agency, or late-night solo marketing before they have decided anything. Six months later, the org chart and burn rate are bigger, while go-to-market remains a patchwork of disconnected tools, automations, and one-off campaigns. Brett's sequence starts with questions, not hires: who you serve and the exact beachhead buyer; what pain you solve and whether it is an aspirin or a vitamin; why buyers should choose you; which single motion deserves focus; and what you will deliberately ignore. Then choose one foundation — content, SEO/GEO/AEO, or lead generation — pair it with one controlled experiment, put a strong operator in charge, and build an AI-supported operating system around that person and motion. Add capacity, expertise, and spend only when the signal shows where they will scale.
- **Automation still ends with a human editing the email**: Brett spells out what an AI-supported account-based marketing build does and where it stops. The system watches LinkedIn profiles that post weekly job roundups, treating open roles as intent signals, and runs a parallel search for companies hiring target positions. It scores leads on a 100-point model across four factors — how long the role has been open, company fit, role seniority, and industry alignment — and advances only hot and warm leads. Enrichment and verification happen outside the model, records load into the CRM automatically, and outreach drafts reference the specific open role and how long it has been open, with three variants by buyer type across four touches. The practical limit: full browser automation did not work. The system runs on a scheduled notification that links back into the tool, and a human still copies, pastes, edits, and sends. That is the counterweight to any promise of hands-off ABM.
- **Judge an agency by what it ships and who staffs it, not how it feels.**: Brett writes from the buyer's side of the table. Founders often say they like working with their marketing agency and the team is great. That is table stakes, not evidence of pipeline. Brett's alternative question: can closed-won revenue be traced to the agency's work in the CRM? Warning signs include reports led by impressions rather than pipeline; ad accounts held in the agency's profiles rather than the client's; the senior team that pitched the deal handing the account to a coordinator in week four; ideas that take weeks to ship; and AI claims that amount to a couple of people prompting chatbots. When comparing quotes, Brett argues, the service label does not price the work — staffing does. Two identical proposals can buy very different things.

## Work to read

- [Do your events even ROI? The five things most teams miss](https://www.linkedin.com/posts/hannonbrett_do-your-events-even-roi-most-b2b-teams-activity-7439700422765969408--ne7)
- [The uncomfortable event-marketing questions, answered](https://www.linkedin.com/posts/hannonbrett_eventmarketing-fieldmarketing-b2bmarketing-activity-7455639563445653505-kaKV)
- [Your events don't start on opening day: the pre-event system](https://www.linkedin.com/posts/hannonbrett_2dfv-3dfv-activity-7442941059803901952-BiPF)
- [Post-event is where event ROI is made or lost](https://www.linkedin.com/posts/hannonbrett_most-event-teams-dont-crater-their-roi-on-activity-7447319786180550656-Sarz)
- [A fully automated ABM campaign built in 90 minutes](https://www.linkedin.com/posts/hannonbrett_i-built-a-fully-automated-abm-campaign-using-activity-7440409291913592832-NMj4)
- [Funded startups have a sequencing problem, not a budget problem](https://www.linkedin.com/posts/hannonbrett_most-recently-funded-seed-and-series-a-startups-activity-7488696370673909760-pbqV)
- [What agency retainers actually buy in 2026](https://www.linkedin.com/posts/hannonbrett_two-agencies-quote-you-20000-a-month-activity-7491151786255310848-JgUR)
- [The AI questions CMOs and VPs of marketing keep asking](https://www.linkedin.com/posts/hannonbrett_every-cmo-vp-of-marketing-ive-spoken-activity-7454907505157124096-Q4lG)

## Brand relationships

- **The Zulu Method Live Events System** (disclosed_partnership)

## Partnerships

Hannon Brett sells a method and a service, not a sponsorship slot. Their posts point to three commercial routes: the Zulu Method Live Events System, a paid playbook and template kit for running events as a pipeline system; an AI-native marketing engagement positioned as an alternative to traditional agencies, with the team's own pricing published on its site; and free diagnostic tools — an event ROI calculator and a 12-question agency assessment — that double as lead capture. The posts do not describe sponsored posts, paid placements, speaking fees, or a media kit, so brands should treat this as a service engagement rather than a creator sponsorship. No official partnership or inquiry page is published; brands looking to start a commercial conversation should ask for the right contact.

## Alternatives

- Dan Leitner: Choose Leitner when the 30-day audit points to the people working the leads, not the event program. The posts reviewed cover sales hiring and cold-calling skill: which traits to test for in SDRs, account executives, sales leaders and revenue operations hires, and how skillful cold calling depends on curiosity, listening, adaptability, composure and judgment rather than talk time. Leitner also argues that sales leaders spend too long teaching reps to handle objections and too little time teaching them not to create objections in the first place. That is a better match when the audit shows event leads dying after handoff because the wrong reps own them, or when the SaaS company plans to rebuild a demand generation team in the same quarter as the event review. It is a weaker match when the problem is that nobody can compute cost per event or show pipeline attribution.
- Luke Adams: Choose Adams when the campaign needs timing discipline and relationship consistency rather than measurement. Adams writes that event success depends on lead time—getting on calendars early; messaging cadence—staying visible without overwhelming; and post-event follow-up—turning attention into opportunity. The strongest teams build momentum before, during and after the event rather than focusing on event day. Another post argues that consistency beats cleverness in marketing and networking: repeated messages, showing up when results are slow, and following up instead of moving on build trust. That is a better fit when a SaaS company already tracks its numbers but keeps losing events to late invitations, thin promotion and quiet weeks after the show, or when the audience is relationship-driven professional services rather than a self-serve funnel.
- Ashley Segura: Choose Segura when the unmeasured part of the pipeline is content and brand influence rather than events. The two posts reviewed describe rebuilding marketing attribution because the old model stopped making sense in a zero-click world, where a prospect reads several blog posts, watches a webinar replay and sees the brand in an AI-generated answer before filling out a contact form. The working approach includes asking every lead how they heard about the brand and tracking the answers, leaning on self-reported attribution, watching brand search volume as a signal, and treating content as pipeline influence. Segura also splits content into two jobs: generating demand with new audiences and accelerating decisions for warm prospects. That is a better match when the events budget is roughly fine but leadership cannot see how content and reputation contribute—a common variant of the same 30-day audit brief.

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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/