Category Archives: GTM

The Ten Most-Read Kellblog Posts in 2025

I did this analysis last year and it became a popular post, so I figured I’d do the same retrospective today. Following are the ten most-read Kellblog posts in 2025, regardless of the year in which they were written — and it includes some golden oldies.

  1. What it really means to be a manager, director, VP (2015). Now at ten years old, this post is a perennial favorite. I wrote it because I got tired of answering the question and something about my answer clearly struck a note with a lot of people. (Hint: the answer’s not in your job leveling system.)
  2. How to navigate the pipeline crisis (2025). In this post I wrote about what I saw as a general pipeline crisis in the industry, shared some interesting posts on it, and then tried to put myself back in the CMO chair and answer: what would I do about it?
  3. The one key to dealing with senior executives: answer the question! (2012). If the manager vs. director post (above) gets the most traffic, this post gets the most in-person mentions. Think: “Dave, I forwarded your ATFQ post about a dozen times this year.” This issue bothered me 13 years ago when I wrote the post and evidently non-answered questions are still bothering people today. If someone, particularly a customer or an executive, asks you a question: answer it.
  4. Kellblog predictions for 2025 (2025). I scored these an 8 out of 10. Go here to read my predictions for 2026, the 12th annual post in this series. These posts are more industry commentary and analysis than simply a list of things I think are going to happen. And they require Herculean effort. This year’s post was 7,644 words with 166 links and took 65 hours to write.
  5. Your ICP starts as an aspiration and ends as a regression (2025). I love the pithy title of this one. This post discusses the evolution of your ideal customer profile (ICP) which starts out as a wink in the founder’s eye and should, over time, end up the result of a regression analysis. That is, you start out by deciding who you want to focus on and then, over time and as a function of your definition of “success,” the data should tell you.
  6. De-mystifying the growth-adjusted enterprise value to revenue multiple: introducing the ERG ratio (2024). I first heard of the PEG ratio in Peter Lynch’s classic, One Up on Wall Street. This post takes the same idea — growth adjusting — and applies it to price/sales as opposed to price/earnings. Much as I love the metric, I was frankly surprised to see this one up here.
  7. The SaaS Rule of 40 (2017). Another classic, from eight years back. See this year’s predictions to understand why I believe the Rule of 40 might well become the Rule of 60 in 2026.
  8. A CEO’s high-level guide to GTM troubleshooting (2025). An integration and repackaging of a lot of my advice specifically written for the CEO and to help them troubleshoot their go-to-market (GTM) issues. I was happy to see this one up here.
  9. The pipeline progression chart: why I like it better than tracking rolling-four-quarter pipeline (2022). Give the CRO rolling-four-quarter sales targets and I’ll be in favor of tracking rolling-four-quarter pipeline. Meantime, we need to track it by quarter and this chart shows you how. Don’t even get me started on people who want to track annual pipeline.
  10. Six tips on presenting to the board of directors (2025). A post I wrote to help executive staff make a good impression on the board by losing any prior board PTSD, making a deck from scratch (not recycling slides), cutting to the chase, taking certain things offline, and of course ATFQ.

Technically, my Best of Kellogg post also made the list, so if you’ve not checked that out lately, perhaps you should. I’ve recently revised it as I do about once a year.

I was happy to see that five of the ten top posts were from 2025, which I think hits the right balance of healthy re-use of the classics along with some endorsement of my new material. Thanks for reading.

How To Navigate the Pipeline Crisis

Unlike many marketers, I’m not particularly prone to hyperbole, and thus “crisis” is not a word that I use lightly.  But I think saying “pipeline crisis” is warranted today when discussing what’s happening in marketing and is a key underlying cause for the broader malaise in SaaS growth

You don’t need to look far to find signs of a problem:

  • SaaS stocks, as measured by Bessemer’s Emerging Cloud Index are down 3.4% year to date.
  • Customer acquisition efficiency is down.  Earlier this year, median CAC payback periods hit 57 months, implying a staggering almost five years to recoup the cost of acquiring a dollar of net-new ARR.
  • Pipeline coverage ratios are running below their required targets.  The top reason for missing sales targets is insufficient pipeline coverage and Cloud Ratings shows stated coverage of 3.6x vs. target coverage of 4.1x.  (I can hear the cries of CROs everywhere saying, “please, just give me more at-bats!”)
  • Articles about the web traffic crisis are ubiquitous, from Rand Fishkin’s must-read posts on zero-click marketing to CJ Gustafson swimming outside his normal lane with a post entitled Google Zero.  The web is transitioning into a series of walled gardens and what’s left over is increasingly front-run both by Google search and, of course, answer engines such as ChatGPT, Perplexity, Claude, and Gemini.
  • Earlier this year, Andrew Chen put it bluntly:  Every Marketing Channel Sucks Right Now.

Add it all up and you can summarize this rather grim picture — as the Exit Five newsletter recently did — with Nothing Works Anymore.

I see this every day in my work with dozens of SaaS companies.  Because many companies are missing bookings targets by roughly the same percentage as they are missing pipeline coverage targets, I believe this is a pipeline crisis, and not a conversion rate crisis.

The struggle is real.  If you’re facing it, you are not alone.

Against this cacophony we hear a lot of talk about “brand vs. demand.”  The argument being that since demand generation programs are working less effectively, marketers should increasingly allocate dollars to brand programs.  It’s not a bad argument — in part because I believe that marketers over-rotated to highly measurable marketing during the go-go days — and thus a swing back to less directly measurable marketing is a good idea. 

(Aside:  I’d argue that marketers didn’t over-rotate on their own.  They got an assist from CEOs and CFOs who were only too eager to invest exclusively in marketing programs that delivered a clear short-term return and ignore the underlying complexity in B2B sales, effectively living-the-lie that is marketing attribution.  We don’t sell toothbrushes here, people.  Nobody goes to a tradeshow and buys a $250K enterprise solution — or even a $25K one — based on one interaction with one person.  But I digress.)

The question, of course, is what to do about it?

What Others Are Saying

A lot of smart people are weighing in, so I thought I’d provide a few links before sharing my own take.

  • Kyle Poyar wrote a great post called The 2025 State of B2B GTM Report.  (Subtitled “What’s Working in GTM?  Anything!?”)  My favorite part is the GTM Scorecard, a quadrant that maps channels by popularity and likely impact.  The underlying report is full of good ideas, GTM tool recommendations, and survey data.
  • The aforementioned Exit Five post, despite its title, is actually about what is working with answers derived from an informal poll of community members.
  • Scale recently published a State of GTM AI report which provides survey data on AI within GTM, focused largely on high-level use-cases and a two-phase adoption model.  (Jadedly, if we’re going to do less effective work, then let’s at least do it more efficiently.)
  • If your issues are more strategic, such as identifying and targeting sub-verticals, then you should read my friend Ian Howell’s book, Smart Conversations.

What Would Dave Do?

I’m going to build upon a popular comment I made on Kyle’s CAC payback period post.  Consider this a sister post to What To Do When You Need Pipeline in a Hurry, but this time not focused on the hurry, but on today’s environment.

Here’s what I would do:

  • Think holistically.  You might only be the CMO, but you need to look across all pipeline sources.  The job is to start quarters with sufficient coverage and notably not just to hit marketing pipegen goals.  If outbound is working, reallocate money to it.  If AEs can generate more pipeline (e.g., formal targets, more direct routing of inbound), then do it.
  • ABM.  Substitute across-the-board campaigns with targeted outreach on key accounts, leveraging both marketing and human channels (e.g., SDRs), both digital and dimensional assets (i.e., physical things like branded Moleskines), and intimate live events.  As an old CRO friend says, “if by ABM you mean us picking our customers as opposed to them picking us, then I am in favor.”
  • Events.  People are tired of working from home all day and champing at the bit to get out and press the flesh.  This includes major tradeshows, annual user conferences,  and roadshows all the way down to field-marketing dinners and sporting event boxes.
  • Get good at AEO.  It’s quickly replacing and more effective than search.  It’s also more winner-take-all.  There is plenty of content out there on how to do it and agencies eager to help.  Read these two articles for starters.
  • Leverage the CEO via social media (e.g., LinkedIn), podcast appearances, and speeches.  And LinkedIn doesn’t just mean a few posts, it means an overall strategy.
  • Use your AI message to put butts in seats.  We’re still in the stage where people are confused about AI and nothing puts butts in seats like confusion.  Do educational webinars, videos, and content.  Educate people but be sure to do it en masse.
  • Leverage AI tools and workflows.  Review Kyle’s report, particularly the part on the GTM tech stack.  Read Paul Stansik’s practical posts on AI, including how to avoid slop.
  • Build first-party audiences.  If you can no longer pay a reasonable amount to reach other people’s audiences, then you’re going to need to build your own.  While this is a slow burn, over time you’ll be happy you did it.  Build a Substack, a YouTube channel, a quality newsletter, or a podcast.
  • Leverage partners.  They can account for 20-30% of your pipeline and usually bring opportunities that close faster and with a higher conversion rate.  If you have a partner program, leverage it.  If you don’t, start building one.  It’s another slow burn, but you’ll be happy you did it.
  • Check your nurture tracksLong-term nurture is easily forgotten.  Measure recycled leads.  Report on your tracks.  Ensure you’ve built specific tracks for competitive loss and bad timing.  A/B test them, the flows, and the content.
  • Understand why you lose.  While I believe most companies have a coverage problem, not a conversion problem, I like to win anyway and if your conversion rates are below 20-25% you need to understand why.  Do quantitative win/loss via CRM reporting, listen to call recordings, and do win/loss interviews to understand what’s really going on.
  • Invest in customer success.  While I know this doesn’t help with pipeline coverage (except for expansion), always remember that the cost to backfill churn is CAC-ratio * lost-ARR.  Thus, if your CAC ratio is 2.0 and you lose $2M in ARR, it’s going to cost $4M to backfill it. The easiest – and most cost-effective — way to keep the ARR bucket rising is to limit leakage.
  • Join a community.  In times of change it’s important to have colleagues you can talk to, so I’d not only keep in close touch with existing peers, but join a marketing community like Exit Five to engage in shop talk.

Slides From My SaaS Metrics Palooza 2025 Session on Selling Work vs. Selling Software

Today, I presented at SaaS Metrics Palooza 2025 on the differences between selling work and selling software. I’d like to thank my metrics brother, Ray Rike, for inviting me to speak and I’d like to thank everyone who attended the session.

Topic covered include:

  • Defining outcomes
  • Contrasting outcomes vs. usage
  • The outcomes stack and intermediate vs. end outcomes
  • How a dating site would price based on outcomes vs. subscriptions
  • The basic trade-offs in selling subscriptions vs. outcomes
  • How to capture value created and share it between the vendor and customer
  • How selling outcomes can (radically) expand the total available market (TAM)
  • Jevon’s Paradox and what happens when we make things radically cheaper
  • Selling virtual humans vs. jobs-to-be-done
  • A long list of links to references for additional reading

You can download a PDF of the slides here. You should be able to see a recording of the session here. (Frankly, I’m not 100% sure that link will work, but you can try.) And I’ve embedded the slides below.

Slides from Balderton Webinar on Aligning Product and GTM Using Customer Value Metrics

Today Dan Teodosiu, Thor Mitchell, and I hosted a Balderton webinar entitled Aligning Product and Go-To-Market (GTM) Using Customer Value Metrics. We are all executives in residence (EIRs) at Balderton — Dan covers technology, Thor covers product, and I cover go-to-market — and, in a display of cross-functional walking-the-talk, we came together to present this session on alignment.

The session was based on an article Dan and I wrote, by the same title, which was published on the Balderton site last month and about which I wrote here. The purpose of this post is to share the slides from that webinar which are available here and embedded below.

Thank you to everyone who attended the session and who asked questions in advance or in the chat. I’m sorry that we didn’t have the time to answer each question, but if you drop one into the comments below, I’ll do my best to answer it here and/or ask Dan or Thor to weigh in as well. I’m not aware if Balderton is going to make a video of the session available, but if they do I’ll revise this post and put a link here.

Aligning Product and Go-To-Market with Metrics

My fellow Balderton Capital EIR Dan Teodosiu and I recently published an article on aligning product and go-to-market teams using metrics, specifically customer-value metrics. In this post, I’ll talk a bit about the article and how we came to write it, with the hope that I’ll pique your interest in reading it.

First, a bit on the authors. The definition of EIR (here meaning executive-in-residence) varies widely — as does the job itself. At Balderton, it means that we are on-staff resources available to help portfolio companies, on an opt-in basis, with the issues that founders and executives face in building a startup. Dan focuses on technology and engineering while I focus on sales and marketing. Dan’s founded two startups as well as having technology leadership roles at Criteo, Google, and Microsoft, and I’ve been CEO of two startups in addition to having served as CMO of three. That means we are both able to see the bigger picture in addition to our purely functional views. Not to be immodest, but I’d have trouble finding two better people to write an article on how to align product/technology and go-to-market. Heck, we even had the expected us vs. them disputes!

I write a lot about aligning sales and marketing (always remember the CRO is the #1 cause of death for the CMO), but I’ve not written before about aligning product and GTM. So this was a new, fun challenge that necessarily led to strategy, organizational behavior, and leadership. Yes, often, the CEO is the cause of the problem. I can’t tell you the number of times I’ve said: “You want to know whose fault this is? Grab a mirror!” But knowing that doesn’t necessarily help the particpants in a mess unless they know how to get out of it. Usually that starts by asking one simple question: why would anyone want to buy this again?

Does any of this sound familiar?


It’s a 2,750-word paper, which should take around 10 minutes to read, and I’d encourage everyone to check it out. We’ve got some nice, juicy historical examples in there where good companies, even great companies, lost the plot, forgot about customer value and wasted tons of resources as a result. Spare yourselves that pain. Or, if you’re in the thick of it already, step up and start asking the one big question: why would anyone want to buy this again?