Most business owners look at reviews like this: ⭐️⭐️⭐️⭐️⭐️ = Great ⭐️⭐️ = Uh oh But your reviews can tell you WAY more than whether customers are happy. They can show you: • Why people actually choose you • What customers value most • What frustrates them • What objections keep coming up • The results customers really want • The exact words customers use to describe their problems • Where your customer experience needs work • What you should be talking about in your marketing And AI can help you pull those patterns out in minutes. Try this today: Grab 10–30 reviews. You can use: ✅ Your Google reviews ✅ Facebook reviews ✅ Testimonials ✅ Survey responses ✅ Customer emails ✅ Support conversations ✅ Reviews from competitors Then paste them into ChatGPT and use this prompt: PROMPT: “Act as a customer insights and business strategy analyst. Analyze the customer reviews below and identify: 1. The most common things customers value 2. The most common frustrations or complaints 3. The outcomes/results customers are trying to achieve 4. Common objections, fears, or concerns 5. Reasons customers chose this business 6. Specific words and phrases customers repeatedly use 7. Recurring problems customers experienced before purchasing 8. Opportunities to improve the customer experience 9. Opportunities to differentiate from competitors 10. Anything surprising or unexpected in the feedback Then create: • 5 marketing messages based on what customers care about most • 5 operational improvements the business should consider • 5 pieces of content based on customer questions/problems • 3 potential competitive advantages we could emphasize • A short summary titled ‘What Our Customers Are Really Telling Us’ Do not invent insights that aren't supported by the reviews. Where possible, show which reviews or patterns support each conclusion. CUSTOMER REVIEWS: [PASTE REVIEWS HERE]” BONUS MOVE 👇 Now do the exact same thing with your competitors' reviews. Especially look at their 3-star and 1-star reviews.

We spend a LOT of time thinking about how to get people to find us. But what happens after they find you? This week, I want you to use AI as a pretend potential customer and have it walk through your buying journey. Because sometimes we’re so close to our own businesses that everything makes perfect sense to us. Meanwhile, a potential customer is over there thinking: “Okay...but what do I actually do next?” 😂 YOUR TASK Think about the path someone takes from discovering you to actually becoming a customer. Maybe it looks like: Instagram → Website → Services Page → Book a Call Google → Website → Contact Form Referral → Instagram → DM → Discovery Call Whatever YOUR path is, map it out. Then use this prompt: AI PROMPT Act like a potential customer who has never heard of my business before. My business: [BUSINESS] I help: [WHO YOU HELP] My main offer: [OFFER] The main way people currently find me is: [INSTAGRAM / GOOGLE / REFERRALS / FACEBOOK / ETC.] The action I ultimately want them to take is: [BOOK / BUY / CALL / VISIT / REQUEST A QUOTE / ETC.] My current customer journey looks like this: [DESCRIBE EACH STEP SOMEONE TAKES] Audit this journey from the perspective of a skeptical but interested potential customer. Tell me: 1. Where might I get confused? 2. Where am I being asked to make too big of a jump? 3. What question would I probably have at each stage? 4. Where could trust break down? 5. Where am I most likely to leave without taking action? 6. What information is missing that would make the decision easier? 7. What is ONE change I could make this week that would have the biggest impact on this customer journey? Do not redesign my entire funnel. I want the simplest improvements first. YOUR CHALLENGE 👇 Don’t fix all seven things AI finds. Pick ONE leak and fix it this week. Then come back here and tell us: Where was the leak in your customer journey?

When you say what you do, how many of you say “I help…”? I recently took a training that challenged something I've probably said thousands of times: “I help business owners…” The problem? The second someone hears “I help…” they already know what's coming. A pitch. And once their brain knows where you're going, you've given them permission to stop paying attention. This matters in sales, networking, AND social media. So instead of explaining what you do, try creating enough curiosity that they need the next sentence. Instead of: “I help business owners create better systems and automate their businesses.” Try: “If your business can't operate for two weeks without you, you don't own what you think you own.” Now there's a question in their head. What do you mean? That's the conversation you wanted in the first place. The same thing applies to content. Stop opening videos with: “Hey everyone, today I want to talk about…” They already know what's coming. Don't make the first sentence explain the video. Make the first sentence make someone NEED the second sentence. Curiosity earns attention. Attention earns conversation. And conversation gives you the opportunity to actually create value. Now I'm curious: how would you rewrite your “I help…” statement without using the words “I help”?

I recently had a friend of mine get hacked. Not in the lose your password or email sense...somebody took photos of his work and claimed it as his. This other business has been stealing his photos for years and posting them in contractor groups to get more work. So today, for him I built out an app that allows you to upload your watermark for your business simply by uploading your logo, then uploading your pics. The system asks for default placement but will scan to try and not take away from the picture but keeps your work credited to you. If you were ever on the paid platform, or have ever bought a service from Jen or I since we launched this app, you get access to it for free. I hate to see this happen to people...anyone else who wants access it's a one time fee of $99

I recently opened a new client’s Meta ad account and found something that made my eye twitch. They had spent more than $20,000 on ads but never had a Meta Pixel installed on their website. That means Meta couldn’t properly track what people did after clicking. We couldn’t clearly see which ads were leading to action, build website retargeting audiences, or use that data to help Meta improve future campaigns. Basically, they were paying for traffic while missing a huge chunk of the information that traffic could have given them. This is why I look at so much more than whether an ad looks good. Before I spend a client’s money, I want to know: • Is tracking installed correctly? • Are we measuring the right actions? • Do we know what happens after someone clicks? • Can we retarget the people who showed interest? • Is Meta getting the information it needs to learn? If you’re currently running ads, do you know if your Pixel is installed and actually working? No shame if the answer is, “Jen, I have no clue what you just said.” 😂 Tell me below, and I can do a quick Pixel breakdown for the community next.