# Randy Likas

Randy Likas discusses go-to-market strategy, revenue operations, buying groups, and customer engagement analytics. Likas has also hosted a season of Nektar’s The Revenue Lounge podcast.

- Profile: https://b2binfluencer.marketing/creators/randy-likas/
- LinkedIn: https://www.linkedin.com/in/randy-likas-323241
- LinkedIn followers: 2,587
- Topics: artificial-intelligence, revenue-operations
- Based on 12 dated posts, latest 2026-08-20

## Summary

Most useful for practitioner-led content on buying groups, revenue operations, and customer engagement analytics.

- Best for: Revenue intelligence or customer-success analytics platform selling to enterprise revenue operations and customer-success leaders.
- Not for: Product-led-growth apps for small-business owners seeking broad-reach short-form video awareness.
- Check first: Check their Nektar relationship, pricing, deliverables, and audience data before outreach.

### Takeaways

- Successful AI pilots prove less than they seem to.
- Buying-group engagement beats MQLs as an intent signal.
- Measure customer meeting quality, not calendar fullness.

## Main ideas

- **Successful AI pilots prove less than they seem to**: Likas pushes back on the wave of “why AI pilots fail” commentary, calling the framing clichéd and arguing that the question is poorly explained because “failure” can mean many things. The argument they relay from Pino Soro is that too many pilots actually succeed: a contained use case, good people, dedicated resources, and a team actively trying to make it work prove only that AI can solve a particular problem under those conditions—not that it can survive ordinary operating conditions. Likas adds two views from guests: Amrutha Suresh argues that AI transformation should work more like R&D, with product, engineering, data, and frontline workers improving things together; Emily Palmgren says teams should first understand how work is done today by asking where the friction is, what should be automated, where human judgment still matters, and whether some work needs to exist at all. The priority they draw out is executive sponsorship. Funding an experiment is easy; changing workflows, roles, ownership, incentives, and possibly the operating model means changing a business that is not broken today.
- **Buying-group engagement beats MQLs as an intent signal**: Likas argues that the buyer’s journey has already changed: response rates are declining, sales cycles are longer, buying committees are larger, and buyers research before speaking to a salesperson. That makes intent and signals worth watching. In this view, the strongest indicator of intent is engagement across channels from multiple members of the same buying group, while MQLs are outdated, flawed, and wasteful. The practical obstacle is that companies focus on website visits and third-party data while leaving sales and customer success engagement signals inside past and current opportunities unused, lacking a scalable way to extract and act on them. The two posts take different approaches: one makes a direct case backed by reported results from named companies and a field event; the other uses a deliberately partisan metaphor, with hashtags such as #MQLIndustrialComplex and #AntiMQLCoalition, to frame the shift as a choice between a comfortable illusion and a harder truth.
- **Measure customer meeting quality, not calendar fullness**: Likas argues that leaders under budget pressure cannot answer a basic question: where does their team’s time actually go? Packed calendars and activity metrics obscure the answer. Recurring weekly or bi-weekly meetings, they say, rarely provide value: they tend to cover ticket status or routine reporting on consumption and adoption, while senior stakeholders who influence renewals and expansion do not attend. Likas proposes measuring meeting quality—which influential stakeholders attend and how much cumulative time they spend with the team across a year—to connect customer engagement to retention and expansion rather than assume a link. The approach is comparative: find the engagement patterns that distinguish expanded accounts from churned ones, redesign playbooks around meetings linked to good outcomes, and cut the rest.
- **Analytics earns its value by turning data into a narrative decision-makers can act on**: Hosting season three of The Revenue Lounge podcast, Likas framed the series around interviews with people in sales, revenue operations, and customer success. From the first conversation, they drew out a view of what analytics teams are for. Guest Saima Rashid of 6Sense says an analytics team’s superpower is not crunching numbers but translating them into compelling, actionable narratives for non-technical colleagues—a response to the data overload most teams face. It also echoes a theme in Likas’s written posts: data matters when it changes a decision.

## Work to read

- [Why successful AI pilots still stall](https://www.linkedin.com/posts/randy-likas-323241_ive-seen-a-ton-published-this-year-with-activity-7496220583827845120-h479)
- [What meeting data reveals about retention and expansion](https://www.linkedin.com/posts/randy-likas-323241_i-have-been-having-a-lot-of-conversations-activity-7245231842948251649-ZT5j)
- [Buying groups replace MQLs—and the signals companies miss](https://www.linkedin.com/posts/randy-likas-323241_revops-cruise24-activity-7234587993087299587-lSya)
- [Hosting The Revenue Lounge: turning analytics into narratives](https://www.linkedin.com/posts/randy-likas-323241_im-thrilled-to-announce-that-i-had-the-pleasure-activity-7163545573290094592-b8JE)
- [The Matrix as a buying-group metaphor](https://www.linkedin.com/posts/randy-likas-323241_mql-buyinggroups-abm-activity-7295719518885056514-h8Zt)

## Brand relationships

- **Nektar** (disclosed_partnership)

## Partnerships

No official sponsor policy, rate card, or partnership inquiry route appears in the posts. The only disclosed commercial work is for Nektar: hosting its The Revenue Lounge podcast, promoting its multi-city buying group events, and writing product-focused posts with direct calls to action, such as event registration or a DM to learn about Nektar. The posts show a working relationship with a revenue operations platform, but no open, published partnership offer. Ask for pricing, deliverables, and availability.

## Alternatives

- Tom Cogswell: Choose Tom Cogswell when a campaign's central argument is trust: why buyers discount vendor-produced content and which signals still earn confidence. One post describes ordinary people using AI to clone and scale their own voice until the line between authentic and automated disappears. It cites a Dentsu B2B survey of more than 16,000 buyers across 21 markets, which found trust is still the top reason buyers commit to a vendor, and a CMI report showing 91% of B2B marketers increased content output while scepticism grew. The second post applies the same lens to buying-group personalisation: AI can tailor content to the economic buyer, champion and technical reviewer at once, so the leader's job is knowing which friction to keep—specifically, the human review point before output ships. For a campaign about buying-group content, AI governance or human-in-the-loop review, this is the sharper option.
- Nuno Bento: Choose Nuno Bento when a campaign needs a structured, multi-part teaching series with citations and reader homework rather than practitioner-level revenue analysis. The posts are days two and three of a 'Management Week' sequence. Each follows the same structure: why the topic matters, named third-party sources (Gartner, Deloitte, IDC, Forrester, PwC, TechTarget, CIO.com), three or four strategies, a concrete trick using a free or trial tool, a real-world win with numbers, and a closing 30-minute action step readers can complete and share. The subjects are legacy-system integration and justifying IT budget, written for IT and IT-services leaders. A platform seeking a repeatable weekly editorial format that works even when source material is thin gets a functioning template here.
- Rekha Thomas: Choose Rekha Thomas when a campaign calls for convening and synthesising other leaders' views, or targets marketing and CMO-level audiences rather than revenue operations. One post reports takeaways from a go-to-market roundtable for South Asian women leaders and sets out a three-stage AI maturity model—individual experimentation, team workflows, then cross-functional AI architecture—with the governance, IP protection and human-in-the-loop review required at each stage. The other poses a single question about buying behaviour to seven marketing leaders and publishes their answers, linking to the resulting Forbes article. For a campaign built around a creator-anchored roundtable written up as a structured framework, this is the closer match, and the posts show the format in action.

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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/