Blog Posts:
How to Choose the Right Content Distribution Channel for B2B Lead Gen
Which channel is right for this content: LinkedIn Lead Gen, gated on your site, content syndication, comment-gating, or ungated entirely? This piece from CaliberMind's Director of Revenue Marketing cuts through the debate with a practical framework based on five sliding scales: selectability, enrichment, friction, brand recall, and CPL.
The article maps each major tactic against those scales, explains why "X is dead" takes almost always miss the nuance, and introduces four questions every team should answer before picking a channel, including how follow-up will be operationalized and whether the team is being graded on volume or pipeline. It also shares how CaliberMind itself runs campaigns as dual motions, gating content first and ungating later for reach, using their own webinar series as a real-world example. One concrete data point from a live A/B test: removing a couple of required form fields produced a 76% lift in conversion rate while running Google Search Ads to a landing page.
For any MOps or demand gen leader tired of arguing about tactics without a framework, read the full article here.
HQBR Software: A Buyer's Guide for B2B Revenue Teams
Most QBR conversations start with the wrong question. The right question is not which tool to buy; it is whether the four jobs a QBR needs to do are actually being done. This buyer's guide from Prolifiq builds evaluation criteria around those four jobs before touching product categories.
The four jobs are: pulling data automatically from existing systems, enforcing a consistent structure across reps, making the meeting collaborative rather than presentational, and tracking what was committed after the meeting ends. The guide walks through four software categories, customer success platforms, account planning software, deck automation tools, and CRM reports, explaining which problem each solves and where each falls short. It also gives a clear decision framework for teams that genuinely do not need dedicated software yet versus those that do. The diagnostic that matters most: if you cannot tie QBR meetings to net revenue retention, more meetings will not help. Better instrumentation will.
To see the full evaluation framework and the five questions that separate tools in practice, explore the complete guide here.
HubSpot Revenue Hub: What it actually means for B2B revenue operations
HubSpot Revenue Hub is not a rebrand of Commerce Hub. It is a meaningful shift in how HubSpot supports the full commercial lifecycle, from deal and quote through contract, billing, payment, renewal, and revenue reporting. This piece, written by Damien Egan with 11 years in the HubSpot ecosystem and 5 years inside HubSpot, examines what that actually changes for B2B revenue operations teams.
The most significant addition is the Contract Object: a structured way to centralize commercial data inside the CRM, giving sales, CS, finance, and RevOps a shared record of what was sold, at what terms, and when it renews. The article covers the governance capabilities Revenue Hub adds, including quote rules, multi-step approval workflows, field-level permissions, and price books, all of which previously required external CPQ platforms or custom development. Egan is direct about the limits: Revenue Hub will not replace ERP systems or specialist CPQ for complex environments, and a poorly planned implementation will just move fragmented processes into a new place. The strategic question is not whether to use it; it is where in the customer journey revenue is being lost to friction.
For RevOps and GTM leaders evaluating Revenue Hub before committing to an implementation, take a closer look at the full article here.
Podcast Episodes:
Your Agent Isn't Broken. Its Foundation Is. | Jonathan Moss, EVP Growth & Partnerships @ Experity
By: The Revenue Leadership Podcast with Kyle Norton from Pavilion
Most AI agent problems are diagnosed as model problems. They are almost always foundation problems. This 81-minute episode features Jonathan Moss, EVP of Growth and Partnerships at Experity, walking through the six-layer architecture that sits under every agent his team runs and explaining why he built them in the wrong order the first time.
The six layers run from data at the bottom to the interface at the top: data, brain, intelligence, orchestration, agents, and interface. Moss is specific about why the brain layer, the one that holds business logic and company context, is the one layer you do not hand to a third-party vendor. He also covers Experity's GTM Intelligence Center where anyone in the org can pull a three-year trend with insights in under 30 minutes without RevOps in the middle, how RevOps was reorganized from functional silos into acquisition, expansion, retention, and value realization pods, why hiring generalists beats specialists in a fast-moving AI environment, and what 121 personal agents and 57 skill files actually look like in practice.
For any RevOps or GTM leader trying to move past individual AI experiments toward a system that scales, listen to the full episode here.
Forget Growth. Your Valuation Depends On Your AI Story | Tomasz Tunguz, GP @ Theory Ventures
Public software multiples are sitting at 4 to 4.5 times forward revenue, down from the 100x ceiling of 2021. The category leaders carrying 30x and above are usually not the fastest growers in their category. Tomasz Tunguz, General Partner at Theory Ventures, joins Sam Jacobs, AJ Bruno, and Asad Zaman to explain why the market now pays for an AI story rather than growth and what that means for how GTM and RevOps leaders should think about the businesses they are building.
Tunguz covers the $10 billion AI companies committed in a single year to putting forward-deployed engineers inside customer organizations, why quota inflation at AI-native companies is a demand-side story rather than a productivity story (budgets increased by a factor of 10 while the supply side did not change), and why using AI to save time is the wrong target. The teams winning are the ones holding themselves to a higher standard with the same investment of effort. He also makes the case that go-to-market innovation is now more valuable than product innovation, placing Dropbox, Zoom, Confluent, and HashiCorp as the previous era's version of that same pattern.
For a strategic perspective on how AI is reshaping GTM valuation and what it means for your revenue motion, access the full episode here.
Shipping Enterprise AI Agents with the CPOs of Rubrik, Glean, and Harvey
By: The Official SaaStr Podcast
Building AI agents is one thing. Shipping them to enterprise customers who will hold you responsible for every mistake they make is something else. This 44-minute episode brings together the CPOs of Rubrik, Glean, and Harvey for an unfiltered conversation with Jason Lemkin on what it actually takes to go agentic in production.
- Rubrik: why determinism matters when an agent is making decisions about core infrastructure and the blast radius of a mistake is not a bad email but a broken recovery workflow
- Glean: how the company evolved from enterprise search to a system of intelligence powering agents for entire departments, why MCP alone is not enough, and what offline-processed context gives you that runtime fetch never will
- Harvey: why Harvey deploys ex-lawyers with 8 to 10 years of practice with every enterprise customer, and why that human expertise is what makes agentic workflows stick in law firms
- Accountability: when an agent takes an action and something goes wrong, who is responsible, and what does it mean to build a product when customers use it in ways you never anticipated
For an honest, production-level account of what enterprise AI agent deployment actually requires, tune in to the full episode here.
Webinars:
How to Build an Agent-Native Revenue Organization
Most GTM teams have more signals than they can act on. Intent data, engagement scores, product usage flags, CRM activity, call intelligence outputs. The problem is not a lack of signal. It is that most organizations have no reliable system for turning signals into coordinated action before the window closes. This session from RevGenius addresses exactly that gap.
The session covers how to identify which signals in your current stack are actually predictive versus which are generating noise, how to build workflows that convert signal into timely, coordinated outreach across sales, marketing, and CS, and what the operational infrastructure looks like for teams that have solved the execution problem rather than just the data problem. For RevOps leaders tired of hearing about intelligence tools that never change what reps actually do, this is the conversation that reframes where the real work lives.
To close the gap between what your data is telling you and what your team is actually doing, register for the full session here.
Ramping B2B Customer & Prospect Discovery Meetings
Discovery is the most consequential part of any B2B sales motion and one of the least systematically taught. This RevGenius session addresses how to ramp the quantity and quality of discovery meetings with both prospects and existing customers, turning what is often an informal skill into a repeatable, coachable process.
The session covers how to identify the right triggers for outreach, how to structure conversations that surface real buying signals rather than surface-level answers, and how to build the operational habits that increase discovery meeting volume without sacrificing the depth that converts to pipeline. For revenue and RevOps leaders trying to improve the front end of the funnel before the AI automation conversation even starts, this is the foundational work that makes everything downstream more reliable.
To build a more systematic discovery motion for your team, register for the full session here.
