5 Ways to Turn Your Cold Outreach From “Meh” to “Wow!” With AI

Hey, everybody. I'm Leo Goldfarb, a managing partner at albato.com. We're a no code integration and automation platform with 800+ out of the box API integrations. Our flagship product, albato embedded, is geared towards SaaS companies. Instead of burdening your team with developing integrations, you can embed our white labeled integrations in your SaaS. Our outreach is targeted mainly at B2B SaaS companies. We explore leveraging AI to boost outreach performance. Cold outreach has become increasingly hard, and some techniques that used to work are no longer effective. Let's dive right in and see the positive outcomes of our efforts, thanks to AI in our outreach. Even a reply like this is always better than no reply. We believe in making our messages meaningful and valuable to grab people's attention. There's a never-ending dilemma in cold outreach: personalized outreach or outreach at scale. With the help of AI, we can personalize at scale. Every outreach relies on high-quality prospect lists, impactful data points, and killer messages. The first pillar of outreach is high quality prospect lists. Gathering impactful data points helps prequalify leads. The spearhead of outreach is a killer message. The reply rate for this campaign was around 20%. After implementing AI in outreach, we focused on personalized and on-point messaging. We addressed the problem with integrations via Zapier and emphasized the need for native integrations. We leverage chat GPT to generate personalized messages and specific use cases for sense park customers. The campaign involves extensive personalization, including basic, buyer persona, and dynamic value propositions. We used an outreach dataset filled with AI-generated data points, including company details and integration use cases. We pulled customer reviews from G2 and used AI to identify the most common and critical problems with integrations. Chat GPT is good at determining review sentiment and identifying reviews mentioning integrations. However, it struggles with aggregating data and identifying hidden patterns. Chat TPT is better without setting hard boundaries, allowing it to be creative and provide convincing results. AI is effective at identifying isolated ICP criteria but struggles with complex composite ICPs. We attempted to use LinkedIn social activity as a conversation starter for sales, but the generated messages were off and dubious. To incorporate AI into our cold messages, we feed our prospect list to open AI via API. We train and tweak the language model through iterations until we're satisfied with the outputs. The AI-generated data points are then uploaded to our outreach automation tool, enabling hyper-personalized AI messages. We also offer white label, embeddable integrations for SaaS companies to provide seamless experiences within their platforms.