2nd-degree network + recently-posted LinkedIn outbound filter
Filter LinkedIn Sales Navigator prospects by second-degree connections and "posted on LinkedIn recently" to dramatically increase accept rates and ensure outreach only reaches active users.
Why this can grow a startup
Prospects in your second-degree network have already accepted someone similar to you, so they are statistically more likely to accept your connection request. Filtering by "recently posted" ensures you only message people who are actually active on the platform, eliminating wasted outreach to dormant accounts. Combined with genuine personalization (compliments, commonalities, questions), this turns LinkedIn from a spam channel into a high-conversion prospecting system.
Company example
TheoremReach (SDK for app monetization) — SalesBread applied this method starting from 2.7 million Google Play apps, refined to 2,390 high-fit developers, filtered by 2nd-degree network and recent LinkedIn activity, then sent CCQ-personalized messages; generated 183 leads in 130 business days with 39% positive reply rates.
Source and metric
Source: salesbread.com
39% positive reply rates
Source discovered: March 22, 2026
When to use it
Use this when LinkedIn is relevant to 0-100, 100-1K and you can run a bounded test with a free budget.
When not to use it
Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.
Founder checklist
- Read salesbread.com and identify what is directly supported.
- Choose one channel context: LinkedIn.
- Define the test around 39% positive reply rates.
- Set an owner, evidence window, and stop condition before launch.
Explore the context
Apply this with an operator
Build creator and community systems around real incentives, trust, and repeat participation.