Positioning for tech companies. Author of the best-selling books Obviously Awesome and Sales Pitch.

April Dunford is the world's foremost authority on product positioning for B2B technology companies. As a consultant, April helps companies make complex products easy to understand and love. After a 25-year career as a VP of Marketing at various fast-growing technology firms, she has consulted with 300 technology companies, including Google, Epic Games, Postman, and others. April is the acclaimed author of the best-selling book, "Obviously Awesome," which delves into the art of positioning, and the newly released, "Sales Pitch," which unveils the secrets to crafting a winning sales narrative in the market.

April Dunford

ANNOUNCEMENT - The new updated and expanded Obviously Awesome is coming!!! 🎉 🎉 

I've been sitting on this one for a while, so I'm SUPER EXCITED to get this out into the world!! 

Almost 7 years ago, I published Obviously Awesome, my attempt at describing the process I use to position B2B tech products and companies. I didn't expect many people to read it. I was wrong. 

Since then, more than 100,000 people have bought the book, and countless companies have used the process. A few hundred did that with me directly, and many, many more of you worked through the process on your own using the book. I've learned a LOT over the past 7 years, and I decided it was time to bring those learnings back to the book. 

The new edition is coming in FEBRUARY (don't ask me for a specific date - it's Amazon's world, we're just living in it). Here's what's new:

📙 5 STEPS (not 10) - In the first edition, I describe 5 components of positioning and a 10-step process for doing it. Some of you really hated that the number of steps in the process wasn’t equal to the number of components. The first few steps were pre-work, and the final steps are work that follows the exercise. I have repositioned those steps (see what I did there), and we now have 5 components and 5 steps. 

📙 The PRE-WORK section has been expanded to include key decisions a team should make before beginning a positioning exercise. This is based on my work with clients, and I think it will greatly improve any team’s chances of success when following this process.

📙 I have included sections that are more relevant to MULTIPRODUCT companies grappling with how to position their products in a company with multiple offerings. 

📙 Some steps in the process have been significantly expanded—particularly the Differentiated Value step. Most teams told me they got stuck there. I hope this new, improved section helps to clarify the concept.

📙 The final section, What Happens AFTER a Positioning Exercise, has been greatly expanded. This new section reflects my current thinking on how best to create a sales pitch to test positioning and then turn that positioning into messaging.

📙 For the first time, there will be a HARDCOVER edition. Most of you won't care, but I have seen some seriously well-loved (but also beat-up and scraggly) paperbacks at conferences, and I decided some of you need a copy that’s a little more durable!

🎙️ To go with the book, I'm reviving the Positioning PODCAST and will release a new series of episodes that dive into the book's new material. 
✍ The same goes for the NEWSLETTER (always the best way to follow my stuff). 

A new podcast episode and newsletter article drop TOMORROW - links in the comments.

You don't want to start any positioning work before making a key set of decisions

1️⃣ Is now the right time? 
Do we have enough customer experience to understand how prospects make decisions? Have we worked with enough customers to know - at least at a high level - what makes a good-fit customer different from a bad-fit customer? If the answer is no, we might want to develop a positioning thesis and tighten our positioning after we have closed more business.

2️⃣ Are we clear who this positioning is for? 
Positioning for customers is not the same as positioning for investors or employees. If we start working on positioning and half the team thinks we are building a sales pitch, the other half thinks we are building an investor pitch, very bad things will happen. 

3️⃣ What exactly are we positioning?  
Are we positioning the company, a product, or a group of products? The answer to this question might require deeper thinking about your go-to-market strategy. Getting a clear answer to this question will save you from having to debate this point mid-way through your positioning work.  

4️⃣ Which persona are you positioning for? Teams outside the sales team may not understand what a deal champion is and may be overly focused on positioning for other personas. When we talk about "value," we need to be clear about who perceives it. 

If you don't make these decisions up front, I can guarantee you will regret it. I've seen many teams rush into positioning work, only to stop midway to debate these points and backtrack to redo work they have already started. 

(I'm covering this topic in more detail in the newsletter and the podcast this week - links in comments)

Dharmesh Shah

Founder and CTO at HubSpot. Helping millions grow better.

Career startup guy.

Author of the book &quot;Inbound Marketing&quot; (http://InboundBook.com)

Specialties: Entrepreneurship, Software Development, internet marketing,SEO

Founder and CTO

Founder of HubSpot, a venture-backed software startup.  HubSpot offers the industry's first inbound marketing system for small businesses.  The software is available as a hosted service (SaaS).

Here's a quick tip on how to build an effective presence on LinkedIn.

Too many people on LinkedIn are "performing" for their current (and future) followers.

Instead of self-centered performing, focus on generous *sharing*.

We all have something to share that will be helpful/useful to others. Things we are experts in or passionate about. What's often even better is sharing mistakes we've made and lessons we've learned. 

Share, don't perform and you'll pull people in.

* I fall into this "performing vs. sharing" mode sometimes too.  

** "effective presence" is not just about the number of followers, likes or comments. It's about having genuine impact on somebody's thinking -- even if just for a moment.

Lots of people much smarter than me have been talking about this compelling new idea called the "Context Graph". I love the idea, but am a wee bit skeptical of far away we are from it being something businesses can use.

A concept is making the rounds in AI circles right now that has many people very excited: context graphs. Foundation Capital published a piece calling

Open article: Context Graphs: Capturing The "Why" In The Age of AI by Dharmesh Shah • 4 min read

Context Graphs: Capturing The "Why" In The Age of AI

I'm  a massive fan (and daily user) of agentic coding tools like Claude Code and Codex CLI.

One of the questions we'll need to ponder in 2026:

How do you make sure that the compounding value you are getting from the use of agentic coding exceeds the interest on the technical debt that AI creates along the way?

The hope is that we'll be able to use AI itself to pay off the technical debt as the models and tooling get better.

We've long known that the best people have IQ + EQ.

When it comes to AI agents and their effectiveness, there's a new element — and it's multiplicative.

Agent Success = IQ  x EQ x  CQ

IQ = How well does it reason?
EQ = How well does it collaborate?
CQ (Context Quotient) = How well does it know YOU?

And because it's multiplicative, if an agent has a zero context quotient, it has zero value. (Apologies for revisiting grade school math).

Here's a quick thought exercise:

You can choose between two agents.

Agent A: 200 IQ. Bonafide Genius. Knows nothing about you.
Agent B: 150 IQ. Brilliant. Knows your business cold.

You pick Agent B. Every time. Why?

Agent A can solve PhD math problems.
Agent B can help solve YOUR business problems.

Raw intelligence without context is just confident guessing. (Also known as "management consulting"). 😀 

AI models know a lot about the world, but you need agents that know about YOUR world.

The real game isn't How smart is your model? It's How are you increasing the agent's CQ?

Imagine if it had...
...your top rep's call recordings.
...your angriest detractor's NPS comment.
...your happiest promoter's renewal notes.
...and everything else swirling around in your company

The agents that help you win aren't the ones with the highest IQ. They'll be the ones who know you best.

This is what we're furiously working on at HubSpot, because nowhere does context matter more than in GTM and nowhere is there more unified context than the HubSpot platform.  (Disclosure: As founder/CTO, I'm biased). 

We're excited about the progress the AI companies are making on delivering smarter LLMs  (higher IQ). We need that to build great agents. Meanwhile, we're working on delivering agents with higher CQ. (And stay tuned for the EQ part -- have thoughts on that too).

Anyhoo...

Key takeaway: In the age of AI agents...

IQ gets attention.
CQ gets results.

Woo hoo! Shipping an early release of a new AI app I've been working on. (Look at me, shipping something in the middle of the day instead of 2am!)

If you're curious about premium website domains and their underlying prices and trends, I think you might enjoy playing with this app:

domainsales .ai (yes, I like simple domains).

You can  ask questions like:

 "what were the top .ai domains sold this year."  

"what was the average price for .org domains every year".

"what's the sales history for chat .com "

All feedback appreciated. Feedback is a gift.

Thanks.

-Dharmesh

NOTE: I'm using this (and other) AI apps to test out new Agent.ai platform features that allow you to use any vibe coding tool to build apps and integrate them into the marketplace. That way, you benefit from 2.5M+ users, shared context and a bunch of tools you can use in your agents.  More on al this next week.

Was recently on a podcast with Manny Medina from Paid.

Was a great conversation around business strategy, pricing and of course, AI.

I'm not used to being on podcasts (not my natural habitat), but I think it turned out pretty well. Hope you like it.

Dharmesh Shah helped write the SaaS playbook.
Now he’s explaining why parts of it are about to get ripped out.

In today’s episode of Get Paid, the HubSpot co-founder doesn’t sugarcoat it:

AI agents aren’t a feature.
They’re a platform shift.
Seats still matter. For now.
Credits are inevitable.

And most “AI strategies” are just SaaS habits in disguise.
They go deep on why reasoning models changed the game, why vibe coding won’t save you, and why pretending this is a normal upgrade cycle is how incumbents quietly die.

If you’re building AI and telling yourself “we’ll figure pricing out later,” this episode is a warning shot.

🎙 New episode is live. Link in comments.

Nice to see folks combining the flexibility of Agent.ai and its access to a rich set of AI capabilities and data with the power of HubSpot Workflows for automation.

Senior Software Engineer | HubSpot-Focused Integrations & CRM Automation

I've been having a blast combining Agent.ai workflows with HubSpot automation lately, and the results have been impressive.

Here's what I've been able to automate:

Buyer Intent Detection -> Agent.ai monitors signals across multiple channels and automatically scores leads based on engagement patterns, content consumption, and behavioral triggers. When intent spikes, HubSpot workflows kick in with personalized outreach.

Company Intelligence Gathering -> No more manual research. The system automatically enriches company records with technographics, funding data, org structure, and relevant news. Everything flows directly into HubSpot properties, keeping our CRM current without lifting a finger.

Lead Qualification & Routing -> AI agents assess fit based on ICP criteria, then route qualified leads to the right team members with full context. Sales reps get notifications with a complete brief, not just a name and email.

Follow-up Orchestration -> Based on engagement signals, the system determines optimal timing and messaging for follow-ups. It's like having a sales ops team working 24/7.

The real power is in the combination: Agent.ai handles the intelligence gathering and decision making, while HubSpot executes the workflows and maintains the source of truth.

For teams drowning in manual research and qualification work, this stack has been a game changer.

Huge thanks to Dharmesh Shah for making this technology accessible and for his visionary presentation on AI at INBOUND this year. The future he outlined is already here, and it's incredibly exciting to build with these tools.

Want to automate your workflows with AI? Whether you're looking to streamline sales processes, enhance lead management, or build custom integrations, I'd love to help. Drop me a DM or comment below with what you're trying to solve.

#AIAutomation #HubSpot #SalesAutomation #AgentAI #CRMIntegration #MarketingAutomation #SalesOps #AIAgents #WorkflowAutomation #B2BSales #RevOps #SalesTech #AITools #BusinessAutomation #LeadGeneration #INBOUND2025

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The Battle

April Dunford

Dharmesh Shah

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taplio

The Battle

April Dunford

Dharmesh Shah

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}April Dunford's LinkedIn Performance

Performance ScoreDharmesh Shah's LinkedIn Performance

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Performance ScoreApril Dunford's LinkedIn Performance