๐Ÿ’ผ "Using AI to automate B2B sales". Video and audio recordings of the "AI in Business" stream

๐Ÿ’ผ "Using AI to automate B2B sales". Video and audio recordings of the "AI in Business" stream. We're sharing the video and audio recordings (๐Ÿ‘‡ audio in the top comment) of yesterday's streamโ€ฆ

๐Ÿ’ผ "Using AI to automate B2B sales". Video and audio recordings of the "AI in Business" stream. We're sharing the video and audio recordings (๐Ÿ‘‡ audio in the top comment) of yesterday's streamโ€ฆ ๐Ÿ’ผ "Using AI to automate B2B sales". Video and audio recordings of the "AI in Business" stream We're sharing the video and audio recordings (๐Ÿ‘‡ audio in the top comment) of yesterday's stream with Maxim Musin and Olesya Dubrovskaya about using AI to automate B2B sales. ๐Ÿซฅ 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). ๐Ÿ‘ฉโ€๐ŸŽ“ Timestamps: 0:00 Introduction and meeting the guest โ€” Olesya Dubrovskaya, Chief Marketing Officer 0:52 Starting to discuss B2B automation with a focus on LinkedIn 1:37 The main B2B lead-generation tools: SEO, LinkedIn, email marketing 2:50 Why LinkedIn is a difficult but important B2B channel 3:30 An overview of the basic automation tool โ€” Link Helper: how it works and what its limitations are (120 invites per week) 5:17 Using the AI component in the Apollo tool to personalize messages 6:06 The key problems of B2B marketing: a weak offer and incorrectly defining the Ideal Customer Profile (ICP) 7:20 Why automation won't save a bad offer, but only speed up "delivering garbage" 8:30 Discussion: why the founder, not the marketer, should define the offer and ICP 11:20 Practical cases and filters in Apollo: how to find companies that are hiring AI developers or recently raised funding 12:22 How AI generation of "openers" โ€” personalized first messages โ€” works based on the collected data 13:52 Can the ICP definition process be automated with AI? Olesya explains why human experience and intuition are (for now) irreplaceable here 16:21 The problem of founders "bailing out" when working with AI: why it's easier for people to avoid hard questions than to answer them, even to a bot 19:10 The data quality problem: why databases in automation platforms are often outdated and inaccurate 21:22 A case: how a simple approach yielded 17 leads and 4 contracts in 3 days! 24:37 How to set up your LinkedIn profile properly for outreach: why you shouldn't list Sales or Marketer 26:31 A detailed breakdown of the process: how to build a database in Apollo, generate personalization, export to CSV, and launch a campaign in Link Helper 29:22 The problem of data freshness on platforms: why information often becomes outdated, and how to deal with it 31:24 The importance of automated follow-ups, and how they double the number of replies 33:57 Why LinkedIn actively fights automation and bans profiles, and how Link Helper mimics human behavior to avoid this 38:45 How to scale outreach when one profile is limited to 120 invites per week 41:15 Closing remarks from the host: the story of Denis Kalushkin's profile being blocked, and the importance of

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