For those of you who are into guerrilla marketing tactics and outside-the-box stuff, this feature is definitely for you. So, quick story... A while back, I got a big magnet with the LeadCapture logo on it and started driving around with it. It's LITEREALLY a LEAD MANGET (HA!) Figured, why not? Free advertising. So far, the logo has traveled 3,000+ miles across four different states. Again... free advertising. And to my surprise, it's actually generated some traffic and a few leads. The problem is that in the offline world, someone has to physically open their browser, type in LeadCapture.io, and then land on the homepage. So I got to thinking... Wouldn't it be better if I could just throw a QR code on the magnet so people could scan it and go straight to the page? And wouldn't it be even better if that QR code opened a highly optimized landing page? And wait... what if it could also track the source? For example: QR code on a car. QR code on a telephone pole. QR code in a print magazine. QR code at an event. You'd know exactly where that traffic came from. That's where our QR code generator comes into the picture. For pure B2C lead gen, this probably isn't something you'll use every day. But for agencies or businesses doing anything in the offline world, I think this could come in handy. Especially if you're networking, attending events, or working with local businesses. Here are a few plays: - Put a QR code on the back or side of your car for your agency or business and send people directly to an optimized lead capture page. - Work with local service businesses? Put a QR code on the side of their trucks. "Saw your truck" is one of the most common attribution reasons people give when filling out local service forms. - Work with realtors or mortgage brokers? Put QR codes on business cards, signs, flyers, and open house materials. Imagine scanning a QR code and immediately landing on a funnel offering a free home valuation.

Building an AI copilot into LeadCapture that can actually make changes, have full awareness, understand data, etc, has been a very big challenge and learning curve. We've seen mixed results with its performance at times and today we made a big step to change that. We just shipped the latest update of our AI Copilot. Here's what's new: - It knows LeadCapture much better. Every feature is registered with Copilot, including where to find it, so you should see far fewer incorrect or outdated answers. This was the biggest gap to date. - Saved conversation threads. Keep separate conversations for different projects, builds, questions, or investigations without constantly starting over. This is a good way to manage context and streams with AI, so it doesn't go off course. - Questions stay questions. Asking “Can I do X?” now gives you an answer instead of making changes to your funnel. - Better recovery from changes. Copilot understands that edits can be restored through version history and can guide you there when needed. Also, here's a quick crash course walking through how to use AI Copilot to build, edit, and analyze a lead capture page, along with some thoughts about what exactly we're trying to achieve with this feature. Next week I'm dropping the following updates: 1) July - August updates 2) Agency accounts, workspaces, and cobranding Stay tuned!

Getting ready to drop a feature update, but have been super busy. So in the meantime, dropping in to say: The amount of value we’re shipping with LeadCapture right now is borderline ridiculous. I don't see anyone in this space shipping as fast and frequently as us. And what we’re about to drop between now and the end of the year? It's only going to get better. For those of you already using LeadCapture and watching us ship at this pace... I’ve got two words... Strap. In.

AI voice agents for lead follow-up and improving response time are catching on fast and I think there’s a HUGE opportunity here. But after building one myself (more on that later), I’m more convinced than ever that qualification and verification at the point of capture are going to become even more important. A few risks/edge cases I ran into while building my AI agent (and worth keeping in mind if you're doing this... or planning to) 1) Calling, booking appointments, or handing off leads that were never qualified Yes, the AI agent can qualify someone during the call. But now you’re wasting call minutes, tokens, compute, etc. on leads that could have been disqualified before the call ever happened. Better solution: qualify and route bad leads out at the point of capture so the agent only spends time on leads worth contacting. 2) Calling bad or unverified phone numbers This is probably the biggest issue I’m seeing. Someone submits a form with a bad number → the AI agent immediately starts calling it → now you’re potentially burning numbers and creating all kinds of downstream problems. If you’re automating outbound follow-up, verifying that a phone number is real and contactable before it reaches the agent becomes incredibly important. 3) TCPA/compliance gets more complicated In the US, there are rules around when and how leads can be contacted. If an AI agent is automatically making follow-up attempts, you need hard rules around things like: Lead location/time zone When calls are allowed Frequency of follow-up attempts Consent/opt-in data TrustedForm certificates and other compliance data Automation makes follow-up easier, but it also makes it easier to automate mistakes at scale. The experience of using AI agents to handle inbound calls and follow-up is honestly mind-blowing, and I’m really excited to unleash some of what we’ve been building when it's ready. But there are so many edge cases, pitfalls, and downstream consequences to think through.

Dynamic transition steps are here.... try this out, might lead to a nice conversion lift!! https://www.loom.com/share/e68b4550988d4d5f865bbaf80494126b