Your ICP is a procurement director at a manufacturing company in Penang, a finance head at a logistics firm in Ho Chi Minh City, or a tech buyer at a mid-market company in Bangkok. Your data provider returns the same 200 Singapore tech companies every time. This is the SEA data problem in one sentence:…
Most government BD teams have the same problem. They find out about contracts after a competitor already has the advantage. By the time an RFP shows up on SAM.gov, the agency has usually already talked to vendors, shaped what they want, and started building a shortlist. Getting in at that stage makes it very hard…
GovWin by Deltek is the default platform for federal BD teams. It is also the reason many government sales cycles start too late, with no contact intelligence and no visibility before the RFP posts. The best GovWin alternative for a B2G sales team is not just a better opportunity database. It is a platform that…
Government tenders are published across hundreds of portals. US federal opportunities alone span SAM.gov, FPDS-NG, dozens of agency-specific pages, and thousands of state portals that operate independently. Most BD teams either miss relevant opportunities because they are not monitoring the right portals, or spend significant time on manual checks that still return incomplete coverage. This…
A $25M+ ARR EdTech SaaS company needed a scalable way to identify and track school principals across thousands of target accounts. Because principals frequently change schools and many maintain little to no LinkedIn presence, SDR teams struggled to maintain accurate contact data and comprehensive account coverage. Manual research was time-consuming, difficult to scale, and often…
A Series B cybersecurity company wanted to scale outbound prospecting without increasing headcount. However, BDRs were spending hours researching accounts, building prospect lists, enriching contact data, and crafting personalized outreach before meaningful selling could begin. By automating research, prospect discovery, contact enrichment, and personalization workflows, the company reduced manual effort, expanded coverage, and freed up…
A leading payment software company wanted to improve account coverage across its target market. While the sales team relied heavily on LinkedIn and traditional prospecting databases, a significant portion of qualified accounts remained difficult to identify. Valuable prospect information was scattered across company websites, business directories, maps listings, and other public sources that were not…
A $30M+ ARR QA automation SaaS company transformed an 8–10 person research operation into an automated account qualification engine, enabling qualification across more than 75,000 accounts. Here’s how the company transformed an 8–10 person research operation into a scalable qualification workflow. Company Snapshot Details Industry QA Automation SaaS Company Size $30M+ ARR Use Case Custom…
Finding accurate school district contacts is one of the hardest data problems in B2B sales. A schools database that works for enterprise SaaS prospecting fails completely for K-12 outreach because most superintendents, curriculum directors, and district technology buyers are not LinkedIn-active. Platforms built on LinkedIn data return unreliable lists for education technology teams targeting most…
