KI-Storytelling Frameworks

Der Beitrag mit Video zeigt wie man ein KI-Toolkit für seine taglichen Aufgaben selber bauen kann

Im ersten Teil zeige ich eine Prompt Kategorisierung und im zweiten Teil Prompt Chains

The blog post introduces a practical formula for estimating monthly leads generated through LinkedIn outreach. It breaks the process into two main parts: the engagement phase and the conversion phase. In the engagement phase, a team’s outreach activities—sending connection requests, direct messages, and visiting profiles—are quantified using specific rates (e.g., connection acceptance, DM response, and follow-back rates). For example, a team member sending 50 connection requests, 20 DMs, and 100 profile visits per week may engage around 21 prospects. Scaling this to a 2-person team over four weeks results in approximately 168 engaged contacts per month. In the conversion phase, these contacts are filtered through conversion rates for appointments, whitepaper downloads, and newsletter sign-ups (totaling about 10%), leading to roughly 17 actual leads per month. The post emphasizes that this formula is based on practical research, is not scientifically rigorous, and should be adapted with your own data for the best results.