ABM vs Traditional Demand Gen: What's the Real Difference? [Blog]
Austin LaRoche, CEO at ATAK Interactive, unpacks the core differences between Account-Based Marketing (ABM) and traditional demand generation, not as rivals, but as complementary growth strategies.
He explains how ABM focuses on personalized engagement with high-value accounts, while demand gen casts a broader net to build brand awareness and lead flow. Both can coexist when supported by clean data and aligned goals.
If you’re defining your go-to-market mix or debating where to focus your resources, this piece lays out a clear path for finding that balance and you can explore it in depth by reading the full article here.
The Enterprise Buyer’s Guide to Selecting a Marketing Analytics, Reporting & GTM Intelligence Partner [Blog]
CaliberMind
This guide from CaliberMind helps enterprise leaders choose the right marketing analytics and GTM intelligence partner, with insights that go far beyond feature checklists.
It breaks down how to evaluate vendors on integration depth, data governance, dashboard usability, scalability, and long-term support. The key takeaway: a true intelligence partner isn’t just software it’s an extension of your RevOps infrastructure.
If your team is evaluating analytics tools or planning a data overhaul, this guide is worth a careful read you can find it right here.
5 Ways to Improve Your Sales Pipeline Visibility [Blog]
Inconsistent pipeline visibility can quietly stall growth and this post from Nektar offers five actionable fixes to get things back on track.
From defining consistent deal stages and exit criteria to cleaning up CRM data and monitoring deal velocity, each point is designed to make forecasting more reliable and reduce blind spots.
It’s a quick, practical read for anyone refining their revenue process and you can dig into the full list of recommendations in the complete article here.
$1.2B ARR CRO on AI in GTM (w/ James Roth from ZoomInfo) [Podcast]
What happens when a billion-dollar company like ZoomInfo decides to rebuild its GTM engine around AI?
James Roth walks through how they redefined growth by replacing instinct with data and spreadsheets with predictive insights. He explains their “Good Co, Bad Co” framework for focusing on the right segments, how they launched “Copilot,” an internal AI assistant, and how redefining metrics shifted performance from volume to value.
If your team is exploring real AI adoption not just automation hype this episode gives a candid look at what works and what doesn’t, and you can listen to the full conversation here.
Full-Funnel Marketing: Why Brand & Performance Go Hand-in-Hand [Podcast]
Attributed - A podcast by Dreamdata
Frederik Nørregaard challenges the old idea that brand and performance belong on different sides of the funnel. He shows how attribution and data reveal the true impact of brand marketing on pipeline, and why creative storytelling is still one of the most measurable growth drivers when properly tracked.
Key takeaways:
- How data links brand awareness to actual pipeline and revenue- Ways to align creative and analytical teams around shared metrics
If you’re working to connect awareness and conversion under one strategy, this episode offers a sharp perspective on full-funnel alignment and you can tune in to the complete discussion here.
Building a Modern Growth Engine with Ashley Lewin [Podcast]
GTM Live
Ashley Lewin explains how Postal built a predictable growth function by uniting product-led motion with sales-assisted strategy.
She shares how her team structured HubSpot for cleaner data, used “fail-fast disqualification” to maintain pipeline quality, and gained executive trust by proving outcomes through transparent metrics.
It’s a smart listen for anyone refining their growth processes or aligning GTM teams around shared goals and you can catch the full episode here.
Revolt, The End of the Guesswork Era [Webinar]
This session marks a shift: stop guessing in spreadsheets and start operating with clarity and intelligence. Stephanie Martin explores how leading GTM teams are building “growth control centers” systems where AI, data, and strategy converge to drive execution.
You’ll learn:
- How AI can replace manual forecasting and assumptions- What it takes to unify marketing, sales, and ops under one performance engine
- The mindset and structural changes needed to scale smarter
If your team is ready to move beyond intuition and build a revenue engine that self-corrects, this event gives you a clear roadmap and you can register and explore here.
Building AI Agents for RevOps: From Data Hygiene to Deal Insights [Webinar]
RevOps teams often drown in unmanaged data, which makes execution slow and error-prone. This webinar brings together product, operations, and AI leaders from Celigo to show how AI agents can clean up the noise and surface revenue insights.
Key takeaways include:
- Using AI to automate data hygiene and remove manual cleanup- Accelerating knowledge transfer so sales teams stay in sync
- Surfacing deal context using frameworks like MEDDPICC to guide sellers and improve forecasting
If your operation struggles with data chaos or wants to push beyond forecast accuracy into predictive deal intelligence, this is built for you save your seat here.
Before You Go
RevOps is no longer just about fixing broken funnels it’s about building systems that think, adapt, and connect. Each of these insights shows how smarter alignment, cleaner data, and AI-driven execution can transform daily operations into long-term momentum. As you close out the week, pick one area to simplify, automate, or realign that’s where meaningful growth begins.
See you next week for the next roundup!
