Imagine waking up one day to find a Forbes article comparing your company to the Salesforce of your industry.

You didn’t pitch them. You didn’t even know the piece was coming. And as a chief revenue leader, that success is directly tied to your work.

That was a moment Aviv Canaani, CMO/CRO of Datarails, recently lived.

Here’s the screenshot from Forbes:

In just four years, how did Aviv help take Datarails from a few million in ARR to growing 90% in new sales YoY? How did he create the kind of inbound engine and operational scale most SaaS companies never achieve?

Recently, I sat down with Aviv to unpack exactly how he did it.

In this newsletter, I’m breaking down the key operational changes Aviv explained in our interview.

You can listen to the full podcast episode on Spotify here or Apple podcasts here.

This isn’t a Datarails endorsement (we’ve never used their platform). It’s a snapshot of the kind of thinking and execution that separates high-performing revenue leaders from the rest. And the kind of success the right operational strategy can create.

From SDR-Led to Marketing-Driven

When Aviv first joined Datarails as a marketing leader, the business was running on 95% outbound: cold calls, SDR sequences, and a sales team stuck in the grind. By the time his role evolved to CRO, it had flipped: 95% inbound, driven by marketing.

“We built this machine via marketing where AEs wouldn’t have to prospect,” he said. “And our AEs close four times more deals than our competitors.”

This shift wasn’t just about brand or pipeline. It was about coordination. Datarails didn’t treat marketing, sales, and RevOps as silos. They connected them into one revenue operation, with each role operating like a part in a factory line. Interdependent, optimized, and fast.

“I see the kind of revenue operations, let’s call it a go-to-market machine, the same way as like a Henry Ford factory,” Aviv said. “Everyone needs to do their part.”

Instead of expecting AEs to fill their own calendars, he engineered a system that filled it for them so they could focus on selling. That clarity of role laid the foundation for everything else that followed.

At USC, we strongly believe that AEs should always be prospecting. Not every company is going to succeed at sales the Datarails way, so unless you have an inbound engine robust enough to constantly feed every AE, we don’t recommend it!

Building Predictable Forecasting Systems

You can’t maintain a strong lead generation engine like Datarails’ without trusting the data that informs every investment and budgeting decision.

Aviv engineered a forecasting model that tied spend, meetings, and revenue together in a single chain of logic, one powered by conversion-rate benchmarks and waterfall projections.

“Every dollar that we spend (how it affects the pipeline and how it affects revenue) was mapped to conversion rates and historical data,” he explained.

“Let’s say our target is $10 million. Knowing our conversion rate, I can calculate how many opportunities I need. How many meetings I need. Then I know how much I need in my paid media marketing budget to generate that amount of meetings.”

But none of that works without data integrity. That’s why Aviv built a full analytics stack using tools like Funnel.io and Gong, giving his team complete visibility into what was working and what wasn’t. That clarity gave him the confidence to set targets, hit them, and operationalize every stage of the funnel.

“The easiest way to do forecasting is if you have a predictable engine that is not broken. Because you can always rely on your data and know that what you did last quarter and what you’re going to do this quarter is going to bring the same result,” he said. “So if we tweak here and there, we already know how the tweak will affect the result.”

That’s how Aviv established quarter-over-quarter predictability: by creating a system that didn’t rely on heroic efforts, just well-understood inputs and clean data.

Speed and Efficiency as a Competitive Weapon

At most B2B companies, the lag time between demo request and first meeting kills deals. Not at Datarails.

Aviv built a GTM operation with a five-minute SLA for SDR follow-up, instant demo scheduling via Chili Piper, and AE calendars structured for next-day availability.

“Before, we had times where we’d lose deals because a solution consultant wasn’t available for two weeks,” he said. “That’s unacceptable.”

The result? Sales cycles dropped to a third of the industry average. And when Aviv saw bottlenecks (like not enough AEs to handle meeting volume, an insight gained from consistent capacity planning) he acted fast.

“We would push the HR team and the VP of Sales to bring in new hires,” he said. “‘We have all this demand. Let’s make sure we create more availability.’”

Data, AI, and the Next Chapter of Scale

Behind the scenes, Aviv continued layering in new systems and AI to push the machine further.

He brought in B2C-style performance marketers. He started experimenting with AI tools to automate SDR outreach. And he baked AI directly into Datarails’ product, turning it into a true “AI-powered FP&A solution.”

Then, the company closed the biggest deal in its history. The lead source?

“When we asked in our form, ‘How did you hear about us?’ he wrote: ChatGPT,” Aviv said.

The machine had come full circle.

A Blueprint, Not a Playbook

Aviv didn’t follow a playbook. He built a system.

Instead of chasing quick wins, he architected a revenue engine where every lever was connected; from inbound to outbound, SDR to AE, content to conversion.

It’s easy to say “build a predictable pipeline.” It’s much harder to operationalize it across functions, align teams behind it, and make the numbers work quarter after quarter.

That’s what makes Aviv’s story worth studying. Not because it’s a blueprint every company will be able to copy, but because it’s proof that when a CRO thinks like a systems builder, marketing and sales stop being separate departments. They become one machine.

This is the exact type of strategic thinking we help our clients navigate, and then execute. Need help leading your revenue organization like Aviv? Let’s talk.

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