Skyllful helps business leaders and their most critical frontline workers use technology to make their work easier, better, and safer. Their platform provides on-device, on-demand training that helps workers better engage with enterprise applications. With complex B2B sales cycles ranging from 6 to 12 months, finding accounts ready to buy is everything.
Skyllful's team knew they had the right product. When they landed in front of the right prospect at the right time, deals felt inevitable. The solution mapped perfectly to the problem. The issue was getting there.
Justin, Co-founder and CEO of Skyllful, described the moment of clarity after returning from a perfect sales conversation:
"The problem is not our product. We have the right product. When we talk to the right prospects, at the right time, all of a sudden it feels like all the parts and pieces of the puzzle just fit together. The question was, how do we optimize and spend more time talking to people in that exact same circumstance?"
They knew hundreds or thousands of projects existed that looked like their best customers. But with limited resources and a traditional cold outbound approach, they were looking for a needle in a haystack. SDRs spent the vast majority of their time reaching out into what Justin called "the blind darkness." Open rates sat in the low single digits. The team was working hard, but without the precision to make that effort count.
When Justin met the Syft team, the problem he presented was straightforward: We know these opportunities exist. We just have no efficient way to find them.
Syft ingested Skyllful's tribal knowledge, including their value propositions, case studies, and the nuanced use cases that only their best sellers understood. Then it went to work scanning the market for companies actively showing symptoms of the problems Skyllful solves.
The shift was immediate. Skyllful's outbound team went from spending 80% of their time on blind outreach to spending 80% of their time on deals where they already had evidence of a real need. But Syft didn't just identify that a company might be a fit. It surfaced how those companies were talking about their projects internally, giving Skyllful the language and context to make outreach feel relevant rather than random.
"We're not just talking about a random project. We're talking about their project, using their terms, using their project name. That's the difference."
Skyllful had been reaching out to one target account for over a year, landing on the wrong people at the wrong time. Then Syft surfaced a value match that identified the right contact and the specific project that made them a fit.
"With one email, we changed a year of ineffective outreach. We were immediately able to get the right person to the table at the right time to have an active sales conversation about a project happening right then and there in their business."
In another case, Syft identified a hiring signal at a multi-billion dollar, multi-country organization. A new product management role had been filled, and that role created the exact circumstance Skyllful solves for. The team sent a single, targeted email. The prospect's response: "How did you find me? I just started this job a few weeks ago. I never respond to cold outreach, but you hit me at the perfect time."
Justin reflected: "To him, it seemed like an utter coincidence, but it wasn't serendipity at all. We had intel, thanks to Syft, that allowed us to target him at a particular point in time with a very targeted message."
By replacing volume with precision, Skyllful's cold email open rates jumped from low single digits to the high teens. Subject lines became more appropriate. Opening sentences became more relevant. Existing case studies, which the team had but underutilized, were now paired with the right prospects at the right time. The AI outbound sales tool did the heavy lifting so the humans could do what humans do best.
With higher-quality inputs, unqualified deals began falling out of the pipeline faster. The efficiency gains were significant enough that Skyllful began shifting SDR resources away from cold outbound and into other strategic functions like partner development that had previously been under-resourced.
"With fewer resources applied to cold outreach, we're getting tremendously better outcomes. And that's going to have a material impact on our 2026 plan."
Beyond pipeline metrics, working alongside Syft made Skyllful's people better. SDRs and marketers began learning from the patterns Syft surfaced, rethinking everything from outreach messaging to website copy. Justin emphasized that while some of the process could be further automated, the human learning happening alongside the AI sales prospecting tool was part of what made the results stick.
"If all we had was the benefit of making the outreach process more efficient, that would be good. But what makes it great is that the people working in that process are getting smarter about how we handle customers once we get them to engage."
When asked how he'd describe Syft to a peer:
"Every time I find myself describing you guys, I describe it as you sifting through the universe of bad data to help us find the information that we need, at the right time, and with the right people."
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