💼 "The capabilities of B2B bots in sales and business". Video and audio recordings of the "AI in Business" stream
💼 "The capabilities of B2B bots in sales and business". Video and audio recordings of the "AI in Business" stream. We're sharing the video and audio recordings (👇 audio in the top comment) of the stream…
💼 "The capabilities of B2B bots in sales and business". Video and audio recordings of the "AI in Business" stream. We're sharing the video and audio recordings (👇 audio in the top comment) of the stream… 💼 "The capabilities of B2B bots in sales and business". Video and audio recordings of the "AI in Business" stream We're sharing the video and audio recordings (👇 audio in the top comment) of the "AI in Business" stream. Topic: "The capabilities of B2B bots in sales and business". 🫥 The guest of the stream is Olesya Dubrovskaya, founder of the marketing agency DATACRASH, 10k followers on LinkedIn. The host of "AI in Business" is Maxim Musin, head of the AI development and research lab at rebels.ai and a lecturer at Harbour Space University (Barcelona). 👩🎓 Timestamps: 0:00 Continuing the conversation about automating B2B sales 0:45 Recap of the last episode: how to make LinkedIn generate leads fully automatically using Link Helper 1:33 Start of the real-time Link Helper demo: Olesya shows how the bot is working right now 2:07 Explaining the process: the bot checks for replies to sent messages and automatically sends follow-ups to those who didn't respond 2:44 How the bot mimics human behavior, taking breaks to avoid being blocked by LinkedIn 4:41 Breaking down the stats and funnel of a specific campaign: 288 invites, 53% accepted requests, and 17% replies 5:06 Why automation is safer than manual work: the bot strictly monitors action limits 6:45 Setting up rules and triggers: the system stops communicating with a contact once it gets a reply and hands the dialogue over to a human 8:17 Discussing the business process: the lead-gen tool's job is to get the first reply. Then the contact is handed to salespeople in a CRM system (Hubspot, Google Sheets) 9:25 The "secret" of high conversion: targeting people who've been active on LinkedIn in the last 30 days 11:24 The main automation problem — the bottleneck: the need for the founder to precisely define the Ideal Customer Profile (ICP). Otherwise the system is ineffective 13:50 A hypothetical AI product: building a psychotherapist bot that helps the founder define the ICP through visual tests rather than boring questionnaires 15:52 Breaking down an example of a successful message: how AI (Apollo) generates a personalized "opener", and where it can go wrong 18:24 Why "pain" matters for a founder (responsibility for the team, salaries) — it forces them out of their comfort zone to look for real clients 19:40 A practical task for founders: talk about your product at a networking event and get honest feedback 21:52 The psychology of interacting with AI: Olesya on the frustration of working with another AI tool (Base-44) that doesn't follow commands, and how aggression "comes back to you" 23:23 The idea of a "tough" AI marketer: building a bot that doesn't just follow the founder's commands but challenges their hypotheses and demands more data 26:21 Why successful startups have a clear vision of busin