Scoutbee uses AI to connect buyers with suppliers at scale, with the goal of expanding its supplier database quickly and consistently. Their core business is a “networking as a service” platform that connects ready to purchase buyers with suppliers across multiple industries.
Their network of buyers and investors includes major global brands such as Walmart, Unilever, Schneider Electric, and Bacardi. Their growth model is built around speed and scale, and outbound email is a primary lever for onboarding new suppliers.
Scoutbee was primed for expansion, but the outbound motion they had in place was not reliably converting suppliers at the volume they needed. The team was struggling to use outbound email to sign up suppliers at scale. Engagement was low and the number of meetings booked was below expectations.
On top of that, they did not have a repeatable process that could consistently hit the conversion rates required for growth, and their existing email infrastructure was not built for the scale of project based outreach they wanted to run.
They also had a clear performance target. They wanted rigorous A and B testing that would increase supplier sign up conversion rates to at least 1.5 percent. That meant improving list quality, optimizing campaigns, and leveraging a more advanced toolset for lead generation.
At the same time, they needed a major infrastructure upgrade so they could manage high volume campaigns without hurting deliverability, while still staying tightly aligned to their Ideal Customer Profiles.



In two months, Scoutbee generated 296 supplier sign ups and 901 qualified leads. The program increased the supplier sign up conversion rate by 521 percent versus their previous outbound campaigns.
Beyond the numbers, the team saved significant manual SDR time because the workflow routed positive replies instantly, centralized lead context, and made follow up fast and consistent.
Colleva needed to understand their market, their ideal customers, and their message. As an early-stage company, they were still finding product market fit and needed a clear way to test who would respond and why.
We helped Lemonlight fix the foundation. They were using two CRMs, several disconnected tools, and a very manual outbound process that relied on multiple VAs checking inboxes. We simplified this by moving everything into one flow and cleaning up their data, lists, and systems.