How Dealfront Uses Momentum to Drive AI-Powered Revenue Execution

The Challenge

When two high-growth teams merge (in this case, Germany’s Echobot and Finland’s Leadfeeder) unifying platforms is the easy part. The hard part is aligning people, processes, and pipeline across time zones, languages, and workflows. 

That was the task facing Dealfront’s revenue org.

Dealfront is a European sales intelligence powerhouse. With a remote-first, multilingual team, they serve go-to-market organizations by surfacing high-intent website visitors and transforming them into pipeline opportunities with real-time firmographic and contact data.

Their RevOps team, led by Stuart Moss, had to solve for three things quickly:

• No visibility into sales conversations. Leaders had no structured data on what was happening across calls.
• Dirty CRM data. Manual data entry wasn’t cutting it. It slowed reps down and cluttered reports.
• Mounting admin overhead. Reps were wasting time on notes and follow-ups, time they needed for selling.

Meanwhile, outbound was getting harder. In this scenario, precision and personalization stopped being optional and became the only way to break through. 

Kevin McIntyre, Dealfront’s CRO, put it simply:

“Standing out and earning a customer’s attention now takes more precision and insight than we’ve ever needed before.”

Dealfront knew they needed a real-time system that could turn customer interactions into high-quality, data-driven insights and do it without creating more work.

Cutting Through the AI Noise

It started with a LinkedIn post.

Stuart Moss, shared a list of problems he wanted to solve with AI and instantly got buried under a flood of pitches.

“I was inundated by every AI vendor you could possibly imagine,” he said.

But only one stood out.

Momentum didn’t pitch features. We read the list, responded to each line, and got on a call. Within days, Stuart was working directly with senior leadership. No sales theater. No bloated demo cycle. Just alignment, fast.

From Pilot to Full Rollout, Fast

To vet the platform, Dealfront ran a test with a mixed group of AEs, AMs, and CSMs.

The response? Instant.

“Everybody was raising their hand, saying: we need this,” said Kevin McIntyre, CRO.
“I’ve never seen this level of positive feedback in a pilot. Everyone was shouting: ‘We need this!’”

What made the difference wasn’t just AI, it was AI that actually worked the way reps and managers needed it to.

• No new login.
• No extra process.
• Just click to integrate with Slack, and Momentum starts delivering value immediately.

“It starts showing up exactly where we need it. Reps get summaries. Managers get trends. No chasing, no setup, no lift,” said Stuart.

What Momentum Delivers: Real-Time Insight, Zero Workflow Bloat

Momentum didn’t ask reps to change how they work. It just made their work better.

The platform embedded directly into Slack and Salesforce, capturing customer conversations, updating the CRM, flagging risks, and surfacing trends across the entire revenue engine. Automatically.

Here’s what changed:

1. No More Notes

Reps stopped wasting time on manual follow-up. Momentum’s AI-generated summaries captured every call, in any language, and posted them directly into Slack and Salesforce. Reps stayed focused. Nothing got lost.

“They can now just focus on the interaction with the customer, knowing the summary will show up exactly where they need it,” Stuart explained.

2. Clean CRM, Without the Admin

Data entry? Gone. Notes from calls flowed straight into Salesforce consistently, cleanly, and without rep friction. Forecasting accuracy improved. Leadership finally had confidence in the numbers.

3. Trends That Drive Decisions

Every week, Kevin receives a Slack brief breaking down what's happening in sales conversations across new business and customer accounts. No need to request a report or chase metrics. Real-time insights are pushed directly to him.

“Momentum’s AI platform helps us get closer to what’s actually happening. We’re learning faster, and we’re empowered to make the right decisions,” Kevin said.

4. Instant Alerts on What Matters

Whether it’s a competitor mention, a churn signal, or a pricing objection, Momentum routes alerts in real time to the right team: enablement, marketing or product.

“If someone mentions a competitor, that goes straight to enablement. If someone asks about how they heard about us, it hits marketing’s Slack channel,” Stuart said. “It’s not just automation. It’s routing real-world signals to the teams that can act on them.”

From Tool to Infrastructure: The Real Impact

Momentum became muscle memory very quickly.

• 100% Adoption

Everyone uses it. Reps rely on it for summaries and Slack workflows. Managers track trends without asking.

“If it’s available, people are grabbing it. That’s rare in tech rollouts,” Stuart said.

There was no change management plan. No enablement lift. Just AI-powered tools that solved real problems instantly.

• Time Back, Focus Forward

Reps are no longer stuck doing time-consuming data entry or writing follow-up emails. They stay present in calls and move straight into the next opportunity.

Momentum handles the rest: summarizing, tagging, syncing to Salesforce.

• Clean Data, Clear Picture

Every insight captured by Momentum flows directly into the CRM. No gaps. No delay. Leadership now sees a full picture of buyer behavior and deal progression, based on actual customer interactions, not rep interpretation.

That means cleaner datasets, better sales forecasting, and fewer surprises at pipeline review.

• Strategic Visibility at Scale

Every week, Stuart’s team pulls insights on what’s resonating with prospects, where deals are slowing down, and how objections vary across regions. Momentum analyzes call data at scale, then surfaces trends automatically. No dashboards, no digging.

“We tell Momentum what to listen for — competitor names, pricing, product blockers — and it pushes a digest straight into Slack,” Stuart said. “Packaged, parsed, and ready to act on.”

It’s more than conversation intelligence. It’s AI-driven, team-aligned revenue execution.

A True Partnership, Not a Vendor

Instead of treating implementation as a finish line, Momentum treated it like the starting point, collaborating closely with Dealfront to tailor prompts, tune delivery timing, and make sure every signal, from pricing objections to churn risk, landed where it could drive action and real-time insights.

“They tweak prompts, test ideas, and share what’s working with other clients,” Stuart said.
“It’s a real relationship. Not just a license.”

What’s Next: From Hygiene Fix to Strategic Asset

What started as a fix for CRM hygiene has evolved into something much bigger: a full-scale transformation of how Dealfront operates its revenue team.

Today, Dealfront uses Momentum to:

• Track how new product features land with customers
• Surface onboarding risks early, before churn signals emerge
• Analyze closed-lost conversations for late-stage friction
• Equip enablement and marketing teams with real-time data from the field
• Monitor competitor mentions and route responses dynamically

And that’s just the beginning.

“Momentum is like Netflix,” Stuart said. “We keep discovering more we can do. The only limit is our imagination.”

As Dealfront grows, they’re unlocking new use cases by tapping into the full depth of the platform, from predictive analytics for sales forecasting to routing product recommendations based on live customer feedback.

The vision? Replace guesswork with data. Replace bottlenecks with automation. Replace opinion with AI-powered, decision-ready clarity.

“What’s been really great about Momentum is that they’ve found real business problems to solve,” Kevin said. “We have a pulse on hundreds, sometimes thousands, of conversations — and the themes we’re seeing shape how we operate.”

Instead of adding more tools to sift through, Momentum stripped away the noise. Real-time AI surfaced what mattered (blockers, trends, signals) so the team could move fast and with clarity.

Real AI. Real Results. Real-Time.

Other tools lived on the sidelines. Momentum sat at the center: shaping how the team sold, how leadership prioritized, and how strategy evolved in real time.

For Kevin and Stuart, the result is simple:
Faster decisions. Better outcomes. Data-driven confidence at every level.

“This is one of, if not the best, relationships I’ve been a part of,” Kevin said. “Yes, the technology is great. But it’s the people — their commitment to helping us solve problems — that makes Momentum different.”

100% adoption. Zero change management. Real signals in Slack by week one.

If that’s not your AI story yet, let’s change it.