I recently had a conversation with Amisha Gandhi on why the CMO with the most data often has the least clarity. She has been a CMO at Tripalti and senior marketing leader at SAP and several other B2B SaaS companies as well as startups. She built B2B influencer marketing from scratch at SAP when almost nobody in enterprise was doing it.
She also has run large teams, been a solo individual contributor, rebuilt from scratch, and come back up again. She has seen this industry from every seat at the table.

And in our Moneyball CMO conversation, she said something I couldn't shake:
"We have almost an overload of data today. You can tell three different stories because you have fifteen different data sets. So the real question becomes, what's your revenue truth?"
That's the problem hiding inside most marketing teams right now. Not a data shortage problem but a data overload crisis. Too many signals, too many dashboards, too many tools telling different stories about the same reality. And nobody in the room agreeing on which one is right.
Two CMOs: Tool Collectors vs. System Architects
There are two types of CMOs today, her distinction was very clear.
1. The Tool Collector
Sees a problem and asks: which tool solves this? So they add an ABM platform, an intent layer, a forecasting tool, a content engine. The stack grows. The signals multiply. Marketing and sales sit down to align on numbers and realise nothing connects.
2. The System Architect
Asks a different question: where are the decisions that actually matter, and what does each decision need to know to be right? That's a completely different starting point.

Amisha's framework for how AI should work across your GTM is the clearest I've heard.
Top of Funnel | Middle of Funnel | Bottom of Funnel |
|---|---|---|
AI should accelerate learning. Pattern recognition, demand signal identification, understanding which accounts are genuinely showing intent. Not automating judgment. Accelerating the rate at which you build good judgment. | AI should guide focus. Ranking, prioritisation, buying group mapping. AI recommends. Humans decide. Because you're still building trust in the model. Automating decisions before you've earned that trust is one of the most expensive mistakes a CMO can make. | AI should reconcile the truth. Attribution, forecast confidence, conversion integrity. This is where you walk into the board meeting with a number nobody can question. Or where you don't. |
"AI should accelerate learning at the top, guide focus in the middle, and reconcile the truth at the bottom."
When Marketing and Sales Numbers Don't Match
Almost every CMO I talk to has a version of this story.
Marketing has their numbers, Sales has their numbers and Finance has theirs. You bring everyone into the same room and nothing matches. Instead of fixing the system, people defend their own version of reality.
Amisha described building this herself at a previous company. Power BI, Snowflake, pulling everything together manually, triple-checking before every board meeting, never quite certain whether leadership would trust what she was showing.
"It almost killed me and my team."
The problem was not unsolvable, she was solving it without the right foundation. What she eventually built wasn't just better attribution - it was more like a shared language. When the CMO, CRO, and CFO are all looking at the same dashboard, the conversation stops being about credit and starts being about opportunity.
And that's when something unexpected happened. Her team started noticing patterns nobody had been chasing. Nonprofits using Microsoft systems were converting faster than expected. No one had been targeting that segment. Sales confirmed it. They ran a small campaign and it became its own business line.
That discovery only happened because the data was unified enough to see it. The system she built to prove marketing's value ended up generating new revenue. That's what a real revenue truth can do.
The $50K Event Nobody Would Kill
Amisha told me about an industry event at her previous organisation, where they were spending $50,000 a year with zero real prospects for the last 2 years.
Everyone knew the numbers. But nobody wanted to kill it. The brand presence felt important- i.e. the leadership liked being there. It felt like the sky would fall if they pulled out.
She pulled out anyway. Moved the budget to two smaller ERP-specific events. Those events drove real closed business.
I hear this story constantly of the vanity event. The flagship campaign leadership loves, the channel that feels strategic even when it doesn't translate to Revenue.
"Sometimes you have to look at things not just based on what's working but why. And pull back, when it's not."
The instinct to protect channels because of how they look is not rare. And it is almost always the thing that stops CMOs from seeing what's actually working.
Guerrilla Marketing Over Glamour
Here's the other side of that. When Amisha did find channels worth investing in, she didn't go big and broadcast. She went precise and creative.
At one company, she needed to reach a specific set of enterprise accounts in Chicago. Instead of a broad campaign, she planted a billboard directly in the business district where most of those target accounts had their offices. Sales reps would take prospects to lunch at a café nearby. The prospect would sit down, look up, and see the billboard. The conversation was already primed before the first word was spoken.

Image is AI generated
In another instance at SuiteWorld, NetSuite's own conference, she had a small booth and a banner. So, she asked the venue operators: how high can this banner go? They (her team) decided put it all the way up. It ended up hanging higher than NetSuite's own signage at NetSuite's own event.
Moreover, instead of spending on one expensive standalone event, she sponsored all five happy hours at a conference. No matter which one you went to, you saw the logo. To take it up a notch, hotel rooms had connected TV. So, she put the ads there too, knowing that's where her strategic accounts were staying that week.
None of this was a big budget play. All of it was a targeting and placement play. Startup mindset inside an enterprise motion.
How To Actually Get Budget For A New Channel
Killing a channel that isn't working is hard. Getting budget for one nobody has tried before is harder.
Amisha laid out how she got B2B influencer marketing funded at SAP when almost nobody in enterprise was doing it. The process is the same regardless of the channel.
Win the Room Before You Enter It
Don't present a new idea for the first time in a C-level meeting. Get key stakeholders, like the CRO and CFO, on your side beforehand to avoid debate and secure a decision.
Frame It Around Outcome, Not Activity
The business case isn't about what everyone else is doing. It's about the tangible outcomes you'll achieve, and the possibilities unlocked. This outcome-driven logic secures budget.
Propose a Pilot Program
Instead of asking for everything upfront, request enough budget to run a pilot. This proves the concept with data, allowing for conservative spending and scaling based on results.
"If everybody knows before you get to the meeting, the decision becomes easy."
She ended up with more budget than any other marketing team at SAP globally after year two. Not because she oversold, but because she proved it out, then let the results do the asking.
Brand Isn't a Feeling. It's a Value Statement.
Most companies lead with product. They drone on about features, but nobody wakes up caring about your feature set.

Brand answers one question: what is the value your customer cannot live without if you disappeared tomorrow?
Amisha gave the example of a FinOps player she was working with. When they stopped talking about their technology and started telling CFOs they could help close the books two days before quarter end, the room changed. That outcome - not the product, was the brand story. And it landed.
"Brand should fuel your demand. What's the marketing engine? Brand makes it a snowball effect."
When your brand story is calibrated with that kind of impact, the channel question stops being a guessing game. It's how you shed those feel-good vanity channels and start investing strategically in tactics that genuinely drive deals and deliver measurable value.
What the Next CMO Actually Looks Like
I asked Amisha directly. If you were hiring a CMO today, what would you look for?
Systems Thinking
The ability to explain why something worked or broke across the whole business, not just inside marketing. Someone who can talk about flows, tradeoffs, and feedback loops in terms any exec can understand.
AI Judgment
Knowing which decisions to automate and which to never hand over to AI. The CMO who wins here isn't the one using the most AI tools or automating maximum workflows. It's the one who knows where AI builds real confidence versus false confidence.
Revenue Fluency
The ability to forecast, explain variance, and hold credibility with the CFO and the board. Not pipeline numbers, but revenue integrity - demand and revenue predictability. The kind of clarity that makes the board stop asking follow-up questions.
"The CMO who wins is the one leadership calls when they need clarity. Not just the marketing person. The person who makes things make sense."
That's the job now but most CMOs are still running the old playbook.
What This Means for You
Stop chasing the shiny new tool everyone is talking about, start asking which decision you want to automate.
Before you add anything to your stack, name the specific decision it's meant to improve. If you can't name it, you don't need the tool.
Build a shared revenue truth with sales.
If your numbers and sales numbers don't match, that's a systems problem. Fix it before your next board meeting.
Let AI recommend, not decide for you.
While you're still building trust in your data, AI should surface and prioritise. It is you who should decide whether to go ahead with the recommendation or not. The moment you automate a decision you haven't validated, you're moving faster in the wrong direction.
Find the vanity investment and kill it.
If there's a channel or event in your budget right now that everyone protects but the data doesn't support it. Kill it. Put the money where the numbers actually point.
Know your brand story before anything else.
If you can't complete the sentence "the value our customers can't live without is ___", your brand is working against your demand. Start there.
The tools will keep multiplying and the agents will keep getting louder. But the ability to build a system that tells the truth, and the courage to act on what it tells you, that's still rare.
Moneyball CMO is a series featuring CMOs who challenge conventional B2B marketing wisdom with data, candour, and real transformation stories. Know a CMO who should be on the show?
Amisha's reaction when she heard about RevSure: "I wish I had you guys back when I was working in policy. I had to build my own tool and eventually it just broke down."
Her biggest frustration was never the data itself. It was always the same question sitting unanswered at the end of every board meeting: "Can we actually trust this answer enough to make a decision with it?"
If the question of what actually drove your revenue keeps going unanswered, visit revsure.ai.
