Pranav Piyush

The martech industry is broken, and I’m devoting the next 15 years of my life to fix it.

After a decade leading growth and marketing teams at places like Dropbox, Pilot, Magento and BILL, I realized there was no measurement tool on the market that was statistically valid, simple and holistic. 

So I went and talked to every CMO and VP of marketing in my network. Their number one complaint? Attribution. 

And this is why we built Paramark.

Because I believe that measuring your marketing efforts is not that hard. 

Through the power of MMM, experimentation and data science, we’ve created the holy grail of measurement tools. So marketers like you can confidently understand the impact of your marketing investments – and communicate them to your CFO and CEO.

Learn our method at Paramark.com.

Co-Founder & CEO

Before starting Paramark, I spent the last decade leading growth and marketing teams at fast-growing companies like Dropbox, Pilot, Magento, and BILL.

During that period, we evaluated hundreds of martech tools and, for the most part, were sorely disappointed. Here's why. We found few solutions that could handle the needs of fast-growing marketing teams. They were either incomplete, hard to use, or claiming things that were just flat-out wrong!

This trend is especially true for marketing analytics. Synthesizing and analyzing marketing data to understand effectiveness should be a solved problem. After speaking to hundreds of marketing leaders at some of the fastest growing companies, I was honestly surprised that the truth is far from it. Understanding and communicating the return on marketing investment continues to be one of the top challenges for marketers.

That's why we decided to build Paramark. Our goal is to help fast-growing marketing teams measure and forecast the impact of their investments, unlocking sustainable growth.

Marketers deploy $1 trillion/year in capital. Very little of it is analyzed correctly.

What's worse? There's an additional $500B spent on ops, staff, research, and analytics... and it's still a mess.

We’re fixing that — and 2026 is when it accelerates.

If you’ve ever wanted to help build the operating system for modern marketing, this is the year.

In 2026, we’re making three big investments:

1. Product. Expanding our platform to radically shorten the path from idea to launch, with finance-grade measurement our customers already trust.

2. Go-to-market. Scaling sales with senior leadership, new hires in SF and NY, and a dedicated events & partnerships motion.

3. Solution engineering. Growing the team that owns the full data stack — from validation and modeling to automation — turning complex marketing data into decisions people can act on.

If this excites you, check out our careers page... or help us spread the word. 🙏
https://lnkd.in/giVpNhiQ

CEO @ Paramark | Marketing measurement that CFOs & CMOs trust

Udi Ledergor 🏳‍🌈

I'm the Chief Evangelist at Gong, where I helped define and dominate the revenue intelligence category, taking the company from zero to hundreds of millions in revenue and achieving a multi-billion-dollar valuation. 

A five-time marketing leader at B2B startups, I'm known for my bold, human-centric approach to branding and storytelling.

A bestselling author, speaker, mentor, angel investor, and board member, I am also a passionate advocate for startups, storytelling, and creating unforgettable brand experiences. 

When I'm not building brands, I enjoy whisky, music, and social activism. I live in San Francisco with my husband, Guy, our three children—Tom, Noa, and Adam—and our menagerie of pets, including a cat, a bearded dragon, and a chameleon.

Chief Evangelist

Udi Ledergor

In the age of AI slop, a human-centric brand is more important than ever.

50 founders and marketing leaders got together Thursday night to learn about Courageous Marketing and how it helped build brands like Gong.

Thank you, Athena Shiravi and Anu Hariharan of avra for believing in Courageous Marketing and getting together such a remarkable group of people.

Chief Evangelist | CMO | Bestselling Author

Marketers, this is your dream come true right here ⬇️ 

No more wondering why customers aren't buying, which objections are trending up, which competitors are eating your lunch.

It's all served hot with a side of actionable insights by Gong's AI Theme Spotter.

Sharpening your messaging and expertly enabling your sales team has never been easier.

Check it out today or contact your Gong CSM for any help you might need.

AE @ Gong | Closed Won 🦙 | 7x President’s Club

Most companies do an awful job with voice of customer. 

They either manually interview <1% of customers. Or rely on what a sales reps enter in Salesforce following calls. 

Requiring rep data entry into Salesforce is NOT voice of customer.

And those notes are biased, subjective, and incomplete. Sorry, not sorry. 


Ever wish you could zoom out and hear what ALL of your customers are *actually* saying?

Meet AI Theme Spotter – Gong’s newest AI agent.

It automatically surfaces themes across all your conversations – spotting the patterns, risks, and opportunities that shape your strategy.

Created a video to show you how it reveals the true voice of your customer so you can move faster (and smarter).

✨ Understand sentiment, at scale
 ⚠️ Spot risks before deals slip
 📈 Find opportunities from real feedback
 🗂️ Filter by segment, industry, or region

This is actual voice-of-customer analysis…

At scale.


P.S. Full video on YouTube as well: https://lnkd.in/g-Y2V7vQ

Craig is a smart guy.
You should read Craig's post.

AI Market Strategy | Revenue Transformation @ Gong | GTM Strategy & Growth

There’s a headline that’s been talked about a lot after a recent MIT study:

“95% of generative AI pilots are failing”
 
For some execs, it’s causing them to wonder: is #AI great in theory, but doesn’t work in practice?
 
But there’s an error with this narrative.
 
It misinterprets the data, and then misses the solution.
 
🔬 Look more closely, and the MIT data actually points to what makes AI effective.
 
What MIT really found is that *generic* AI projects succeed only 5% of the time, but *specialized* AI succeeds 67% of the time. 🔥 
 
I collaborated with my great friend and Gong colleague Graham Miller, our Head of GTM AI Strategy & Enablement, to analyze what works and doesn't, so you have a guide.
 
We break down the 4 key differentiators that separate those failed experiments from successful AI-powered transformations.
 
Check it out below, and then let me know how you’re thinking about your AI initiatives in 2026.
 
https://lnkd.in/gj4sEmQ5 

#AI #artificialintelligence #agenticAI #genAI #salesleaders #revops #cio #cto

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The Battle

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