We focused on audiences across Central Asia, MENA, Latin America, Africa, Turkey, India, Georgia, and several other regions. Our primary targets were C-level professionals, including CIOs and CTOs, from large companies with over 1,000 employees. We further segmented the audience by industry, focusing on retail, manufacturing, and banking.
To accomplish this, we leveraged LinkedIn’s Sales Navigator, a tool that provides advanced filters for precise targeting. By filtering by position, company size, and geography — even down to specific cities — we were able to customize our approach. For example, city-based filters proved invaluable for promoting offline events like a session in Tashkent.
We also used advanced filters to improve connection rates. The "Posted on LinkedIn" filter, which identifies users active within the past 30 days, enabled us to connect with an engaged audience more likely to accept connection requests, read messages, and respond. Additionally, we prioritized second-degree connections — those with mutual contacts — since these individuals were more likely to accept requests compared to third-degree connections with no shared network.
In just eight months, we added 2,979 highly relevant connections to the profile. Connection rates varied by region, with Central Asian countries achieving the highest acceptance rates. For instance, in Kazakhstan, 70% of connection requests were accepted within the first month—an exceptionally strong benchmark.
This success can be attributed to the region’s active IT community and our client’s existing network, which provided a solid foundation for outreach.
Surprisingly, African audiences demonstrated strong engagement, with average connection rates ranging from 38% to 40%. Despite often being overlooked, this region boasts a growing digital community and a wealth of skilled professionals, making it a promising market with relatively low competition.
By the end of the project, we had automated the connection-building process, empowering our client to continue growing their network independently.