AI-generated email sequences for partnerships

AI, automation, and the human touch... A real-life partner activation workflow: 1. ⚙️ Automated identification of who in your ecosystem needs to be engaged. This triggers a notification to the partner manager, in Slack. 2. 🤖 GenAI-enhanced messaging in the proposed partner engagement workflow. 3. 👋 The partner manager reviews, customizes, and approves the workflow. Messages sent from her Google inbox feel extremely personal. Impact: 👉 Open rates that can exceed 80% thanks to hyper-personalized touchpoints (right time, right content, right channel). 👉 Partner engagement that can even surpass that of manual outreach due to a more data-driven approach, which is enhanced by human input (best of both worlds). 👉 And a 10x increase in the reach of each partner manager.

Here's a Clay generated AI sentence that 3x'd our positive response rates for a SaaS company selling to a very niche industry. We started sending this line in email 2 as a follow up but it was working so well we moved it into email 1 and it performed even better. All we did was use AI to create a comparison between what the company we were reaching out to does and how my customer helps people. So basically each line would look something like Hey {{First_name}}, I was on the site and saw how you help people save time with {{X}} like how we can help you save time with {{Y}} so I wanted to get connected. X in this case outlines how the company helps their customers and Y talks about how we can help them. The way we create the line is we use Clay and train a prompt on how we can help a company. Every company comes down to 5 main offers. Help people save time, save money, make more money, live longer, or increase their social status. For B2B, we are mainly concerned with the first 3 so we train the AI on how our company or our customer's company helps people in those 3 ways. So when AI evaluates that company, we can write a line about how we both help people save time or we both help people make more money etc. Then we manually write lines to train the AI on how we can specifically help them. This is the most crucial part of the line. The beginning is just a parlor trick but this part will really stick out our relevance to their company. We want to train AI to be able to apply what we do as a company to the sentence but we have to do it manually so that it gets as specific as we are looking for. This workflow has been in the campaign in email 1 for 6 months and nothing else has beaten it. Although, I think this workflow works well in this context because we aren't targeting people that get a ton of cold email usually so perhaps it's a tactic they haven't seen before. No reason it wouldn't work on Founders I don't think, I just can't say that we've done it and want to make sure I mention that. Just to give transparency if you want to try it yourself.

We booked 80+ meetings per month in a niche you’d think was "too small to scale." Here's the exact 6-step outbound system we used: Our client manufactures and distributes vinyl wraps and PPF products to small local businesses like wrap shops. Not exactly a massive TAM, but we made it work. Step 1: Hone the Niche This wasn't spray and pray. We narrowed in on local wrap/tint shops because they're visual-first businesses that often showcase a portfolio of work. Most are also underserved by tech-forward vendors, so there was real opportunity. We went deep instead of wide. Step 2: Use AI Strategically Most people use AI to replace copywriting. We used it to power personalization at scale. We scraped websites to pull wrap styles, certifications, and recent projects. Then captured quotes, before/afters, and brand mentions to create AI summaries for each business. The results felt handwritten because we had “taken the time” to understand their business. AI just helped us do the research at scale. Step 3: Build Landing Pages Per City Every email linked to a localized landing page with custom domains per city (like /partners/Houston). We positioned it as "We're expanding in your area" with a clear CTA to join the partner network, where we'd send leads their way. It felt like a real opportunity, not a cold pitch. Step 4: Lean Into Compliments That Actually Land Personalization isn't "Saw you posted on LinkedIn." It's "Saw your matte black Camaro wrap, flawless work especially around the wheel wells" or "Congrats on your {certification}, {expected outcomes from having said certification}" Make it feel like you took the time. Step 5: Start Conversations, Don't Sell We never asked for a meeting in the first email. Instead, we used soft CTAs and offered local leads & partnership opportunities instead of a sales call. We framed it as collaboration, not a pitch. Response rate? 4x industry average. Booked 1 meeting for every 17 leads touched in our best campaigns. Step 6: Scale the System Without Killing Deliverability We ran everything off alternate domains, A/B rotated to preserve inbox health, and used Clay to enrich and orchestrate the entire workflow. That's how we kept the quality high even as volume scaled up. The system worked because we treated it like partnership outreach, not cold sales. When you're genuinely trying to help businesses grow, people can tell.