The End of Manual Analysis

When Saahil Bijlani joined Tracksuit as Revenue Enablement Manager, Attention was already installed. 

He knew what conversation intelligence could do from his previous roles. More importantly, though, he knew what it should do but usually didn't (or couldn’t).

Tracksuit helps brands get brand data into every boardroom, making brand tracking simple, comparable, and actionable. Their mission is to become the common language for how people talk about and measure brands. That kind of ambition requires precision. You need to know how customers are communicating the value of brand. You need to hear them repeat your language back verbatim in their own boardrooms.

That wasn't happening systematically. The data existed, but accessing it meant hours of manual work, rate limits, and rigid workflows.

The "we have the data, but..." problem

Too many operators find themselves sitting in a traditional workflow-style builder, trying to puzzle their way into analyzing 500 calls. They're hitting rate limits. They're looping through iterations. They're spending hours on setup.

But the cost of that time really shows up in all the questions that never get asked.

Saahil had been a sales leader himself at multiple organizations, managing massive teams. "You probably have tens if not hundreds of thoughts a day of just like, I wish I knew if what X person did on that call or I wish I knew how this person did last week. You probably just didn't act on 95% of them, right? Because you just know the time it takes to dig in."

The friction killed the curiosity. The manual lift was too high, so most hunches died before they became insights.

The thing about brand messaging is you need proof it's working

Tracksuit's entire value proposition centers on getting brand data into boardrooms. They need customers to internalize this language, to make it their own, to carry it back to their teams.

"What's super important is hearing the insights that our CEOs might take and be like, all right, this has been great, we've learned from the data, and them repeating back verbatim to us our language and taking that into their boardrooms themselves," Saahil says.

But how do you know if that's actually happening? How do you measure whether customers are communicating the value of brand the way you've taught them to?

You need a feedback loop that’s fast enough to matter, specific enough to act on, and comprehensive enough to catch patterns across hundreds of conversations.

The Gong Decision: Why Tracksuit Switched

By the time Tracksuit approached their Gong renewal, the team had a clear realization: they were only using Gong for the most basic part of the job, which was recording calls. Everything beyond that felt underpowered or outdated for where they wanted to take their go-to-market motion.

Tracksuit was not looking for another recorder. They were building an AI-forward GTM, where call intelligence was not a dashboard you visited but the foundation every workflow relied on. That meant they needed a provider that was AI native at its core rather than retrofitting AI onto an older platform.

The requirements were clear:

• Custom prompts that could shape the system around their language, their motions, and their product.
• CRM automation, especially the ability to auto-populate deal properties from conversations.
• A high velocity roadmap designed for teams who want to move fast and experiment even faster.

Gong was not meeting those needs.

So Tracksuit ran a POC with Attention. What stood out immediately was not just the feature set but the quality of the output. Even their early and unrefined prompts produced insights that felt unusually sharp and context aware.

Tracksuit watched Attention ship fixes, improvements, and entirely new capabilities in real time. That speed gave them confidence in the partnership and in the long term fit.

By the end of the POC, the decision was clear. Attention was not simply replacing Gong. It was enabling an entirely different way of operating.

Why Attention (and why MCP changed the game)

Saahil’s take on Gong's evolution? "As Gong transitioned more and more into a full service platform, its specific revenue and conversation intelligence capabilities became probably less of a priority and didn't give us as much functionality as we needed."

The breakthrough with Attention wasn't just switching tools. It was discovering that conversation intelligence could actually be…conversational.

MCP/The Helper turned every question into a query. No more building one off workflows and no more rigid dashboards. 

Tracksuit can prompt directly in Slack: "We had seven deals this week that didn't close, what was the core reason?" And get an answer with context, patterns and what actually was said. 

"Having the MCP sitting on top of our conversational data lets us pull insights cohesively," Saahil explains. 

The old way: Saahil working in a traditional workflow builder, trying to puzzle his way through analyzing 500 calls, hitting rate limits, spending hours on setup just to get in-depth analysis.

The new way: Conversational queries. Minutes instead of hours. Questions that would have died from friction now get answered immediately.

The time savings are real: "On any one query that takes a minute, you're saving two hours of work at a minimum. Over a week you're saving 15, 20 hours of your sales leaders' time."

But here's what really mattered: Attention's team worked the way Tracksuit works.

Saahil was visiting New York for a couple weeks. He reached out to an FDE at Attention and they came to Tracksuit’s offices. 

"What's been great about working with Attention is having a CSM or an FDE be super agile and adaptable to our ways of working," Saahil says. "They came over to our offices and we were able to sit together and brainstorm out a couple of problems, work on building them in the same session together and get really quick results. Having that flexibility for FDEs to come in and meet me at my offices and spend time and do that was pretty epic."

That kind of partnership changes what's possible. When your vendor works at your speed, with your level of ambition, you're not limited by what the platform can do. You're only limited by how fast you can think of what to build next.

What they actually built (and why it matters)

1. Customer advocacy that runs itself (and proves the brand language is spreading)

This is the big one. The workflow that brings customer advocacy top of mind across the organization.

How it works:

An Advocacy Agent scores every call, listening for moments when customers are big advocates, when they're speaking Tracksuit's common language, when they're articulating the value of brand the way Tracksuit teaches.

Any score above a certain threshold automatically routes to a dedicated Slack channel for social proof. The team sees these golden moments in real time.

But here's where it gets interesting: The system then evaluates whether the call is a good candidate for a case study. It checks criteria in the CRM to make sure it fits. If it does, it pulls from Tracksuit's Notion pages (the "brain" of the agent) to understand what a good Tracksuit case study actually looks like, what voice to use, what structure to follow.

Then it writes the case study and drops it into a Notion doc in their marketing database, ready for the team to pull from.

The impact: Social proof and customer language surface in hours, not weeks. But more importantly, this workflow does something most tools can't—it proves the core mission is working.

When Tracksuit can see, quantitatively and systematically, that customers are repeating their language verbatim in boardrooms, it becomes something far more powerful than marketing validation. It becomes proof that the message is spreading and that the brand's common language is taking hold in the rooms where it matters most.

Tracksuit used Attention’s agents to analyze the entire library of case studies the Advocacy Agent was generating. The goal was to sense-check the stories, identify language patterns, and understand which themes consistently resonated with customers. That analysis confirmed something critical about their go-to-market strategy: boardroom credibility was the center of gravity.

Across the case studies, the most emotionally charged language came from CMOs describing what it felt like to have ammunition for the boardroom finally. Many talked openly about feeling vulnerable or dismissed before Tracksuit. Some described feeling pressured to justify their budgets. For them, Tracksuit was not a reporting tool. It was protection. It was clarity. It was a way to walk into a board meeting with confidence rather than fear.

The implication was clear. Executive buy-in was not just a strong use case; it was a necessity. It was the use case. It validated that Tracksuit’s core value proposition sits at the executive table, helping CMOs defend budgets, win credibility, and anchor brand as a strategic asset. Everything else the platform delivers ladders up to that single, essential outcome.

"What's super important is hearing customers repeat our language back to us. That's when you know it's working," Saahil says.

The workflow doesn't just capture social proof. It validates the entire go-to-market strategy.

2. Win/loss analysis in minutes instead of days

Here's a typical scenario: Seven deals didn't close this week. Sales leadership needs to understand why. Fast.

The old way: Look at dashboards. Review loss reasons in the CRM. Check comments and notes. Read through emails. Schedule calls with reps to get their perspective. Manually analyze recorded calls if they exist. Synthesize everything into something coherent.

Time required: Hours, plural. Maybe tens of hours across the team.

The new way: Open Helper. Ask: "We had seven deals this week that didn't close. What was the core reason?"

Get a breakdown by reason, by pattern, by specific conversation moments that mattered. All the context you need to coach, adjust strategy, or identify systemic issues.

Time required: One minute for the query. Maybe five minutes to review results.

The math: "On any one query that takes a minute, you're saving two hours of work at a minimum," Saahil explains. "Over a week you're saving 15, 20 hours of your sales leaders' time."

But there's a second effect beyond time savings. It's psychological.

"Anytime you have a thought, you can actually just check it really quickly," Saahil says. "Your action bias gets way higher because the perceived effort is way lower."

In the past, sales leaders had tens if not hundreds of thoughts per day - I wish I knew what this person did on that call, I wish I knew how this rep performed last week and they didn't act on 95% of them. The manual lift killed the curiosity.

Now? Every hunch becomes a hypothesis you can test in seconds. The friction disappears. The questions that would have died now get answered. That's when insight accumulation starts to compound.

The numbers (and what they actually mean)

What's different now

Every hunch becomes a hypothesis you can test. Those "I wonder if..." thoughts that used to die from friction? Now they take 60 seconds to validate. The action bias goes way up because the perceived effort goes way down.

Leaders lead, dashboards don't. Sales leadership isn't trapped in review meetings anymore. They're coaching on specific moments, catching patterns early, moving faster than the competition.

The brand message has proof. Tracksuit can now show that their language is sticking. 

"Anytime you have a thought, you can just check it quickly. Your action bias gets way higher because the perceived effort is way lower."

When you're moving fast, knowing what's coming helps you plan. It prevents redundant tool searches. It lets you invest your time where it'll compound.

‍