Lovable is an AI-powered tool that lets you build complete web apps, tools and sales pages without any coding knowledge. I use it daily for clients to build custom digital products that would normally cost thousands in development fees. In this blog I explain what it is, what you can build with it, what it costs and how I can put it to work for you. What is Lovable? Lovable is an AI app builder where you describe what you want to build in plain language, and the tool turns that into a working application. You type something like: "Build a tool where my students can put together their own personalised programme", and Lovable builds it for you. What makes it special: you don't need a technical background. Lovable generates the complete frontend, backend and database in one go. The platform grew rapidly in 2025, closed a $330 million investment at the end of 2025 and is now used by major companies like Klarna and Uber. But the interesting part for you as an entrepreneur? You don't need to be a big company to benefit from it. What can you build with Lovable? Short answer: more than you'd expect. I use Lovable for a wide range of projects. Here's a snapshot of what I've built in it myself: An interactive programme builder for an online course, so students can design their own learning path. A complete matching platform connecting entrepreneurs with virtual assistants. A lead generation system that automatically identifies and follows up with prospects. A task management tool for entrepreneurs who want to take the pressure off their team. And sales pages that go beyond a standard website, with dynamic elements and smart integrations. What I see in practice: Lovable works best for web apps, tools and platforms. Think client portals, interactive calculators, membership environments, simple SaaS products and smart sales pages with added functionality. The platform is ideal for complex web applications with custom logic, something most other no-code tools simply can't handle. Why do I use Lovable for clients? I've been working with tools like Kajabi, Elementor, Wix and Webinargeek for years. They're great at what they do. But sometimes a client wants something that falls just outside those boundaries. An extra tool within a course. Something that fits their process exactly. A page that does more than just inform. In the past that meant: hiring a developer, waiting weeks and setting aside a serious budget. With Lovable I solve that in a fraction of the time. I've noticed that it makes an enormous difference for clients when that extra tool just exists, without it becoming a big project. It lowers the bar to build something, which ultimately means entrepreneurs can test more, scale faster and serve their clients better. What I also see: Lovable fits perfectly into a broader automation strategy. A tool built in Lovable can be connected via Make or Zapier to your CRM, email system or checkout. Everything works together. What makes Lovable different from a regular website builder? This is a question I get often. The difference is in what you can actually build. A website builder like Elementor or Wix is great for a beautiful website with fixed pages. Lovable goes a step further: you can build applications that actually do something. Users can log in. Data gets stored. Forms trigger actions. Different users see different content. Lovable generates complete full-stack applications, including the technical layer that would normally require a developer. That's fundamentally different from a drag-and-drop website. Another big advantage: you own the code. If you ever want to develop further with a developer, you simply export the code and continue from where Lovable left off. Is Lovable free? Yes, Lovable has a free plan. It gives you 5 credits per day, which amounts to a maximum of 30 credits per month. You can build public projects and get a proper feel for the tool without needing to enter any payment details. For serious use, the free plan is too limited. You'll burn through your daily credits quickly when building anything with a bit of complexity. The free plan is ideal for testing whether Lovable is right for you, but not for production-ready projects. Want to try it yourself? How much does Lovable cost? Lovable works with a credit system combined with a subscription. Paid plans start from $21 per month with annual billing, or $25 per month on a monthly basis. That gives you 100 credits per month plus 5 extra daily credits. What you get for that: private projects, your own domain name, the option to remove the Lovable branding and credits that roll over to the next month if you don't use them all. What I notice in practice: for simple tools and pages the starter plan is more than enough. Once you're iterating frequently or building something more complex, you'll use credits faster. That's worth keeping in mind. For projects I build for clients I always discuss expected costs upfront so there are no surprises. Is Lovable safe? This is a question I take seriously, because it factors into how I deploy Lovable for clients. Lovable itself has a comprehensive security programme. The platform is ISO 27001 certified, complies with GDPR and runs automatic security scans before you publish an app. Your code and project data belong to you, not to Lovable. At the same time, there's something important to know. In 2025 a vulnerability was discovered where apps with incorrectly configured database access rules were susceptible to unauthorised access. Lovable responded quickly with improved security controls, but it shows that as a builder you need to be conscious of how you set up an app. My approach: I use Lovable for marketing tools, interactive aids and platforms where the risks are manageable. For apps where sensitive client data is central I always take extra steps in the configuration, or I recommend a different approach. Being honest about these kinds of nuances matters more to me than blindly promoting a tool. Is Lovable right for my business? That depends on what you need. I bring in Lovable when a client wants something that goes beyond a standard website or funnel. A few situations where I immediately think of Lovable: You run courses and want an interactive tool or portal for your students. You offer services and want a calculator or intake tool where clients can map out their own situation. You have a community or platform and want to build your own environment without the limitations of existing platforms. You want a specific page or tool that fits your offer exactly, not someone else's template. Lovable is less suited for very simple informational websites. For those, a tool like Tilda or WordPress is faster and more cost-effective. But the moment you want to build something that truly functions, Lovable is strong. How does it work if I ask you to build something in Lovable? I always start with a good conversation about what you need and why. Not every situation calls for a new tool. Sometimes a smart adjustment to an existing system is already enough. If Lovable is the right choice, we build it step by step. I write out the specifications, build the first version, we test it together and adjust where needed. After that I connect it to your existing systems so everything works seamlessly. What I bring from my broader expertise: I always look at the bigger picture. A tool in Lovable is valuable, but only truly powerful when it's integrated into your marketing systems, email flows and client experience. Frequently asked questions about Lovable What is Lovable? Lovable is an AI app builder where you describe what you want to build in plain language. The tool then generates a fully working web application, including frontend, backend and database, without you needing to write a single line of code. Is Lovable free? Yes. Lovable has a free plan with 5 credits per day. That's enough to get to know the tool and test simple ideas. For serious projects a paid plan is recommended. How much does Lovable cost? Paid plans start from $21 per month with annual billing. That gives you 100 credits per month plus daily extra credits. More information and a free start? Is Lovable safe? Lovable is ISO 27001 certified and GDPR compliant. The platform runs automatic security scans. For apps with sensitive data it's important that the configuration is set up correctly. When I deploy Lovable for clients I always keep a close eye on this. Do I need to know how to code to use Lovable? No. Lovable is designed for people without a technical background. Can I connect a Lovable app to my existing tools? Yes. Via Make or Zapier I connect Lovable applications to tools like ActiveCampaign, Kajabi, Mailerlite, Google Sheets and more. What if I want to make changes later? Adjustments are always possible. Either I handle them for you, or I show you how to make smaller changes yourself. To wrap up Lovable gives entrepreneurs the ability to build custom digital products without an expensive development team. I use it every day and see what it means for clients: more possibilities, less dependence on off-the-shelf solutions that never quite fit, and a speed of execution that wasn't possible a year ago. Curious whether a tool or app in Lovable could work for your situation? Let me know and we'll look at the options together. Want to try Lovable yourself first? About B-Connecting Britt from B-Connecting helps entrepreneurs with marketing automation, Facebook Ads and smart systems. She has built over 500 workflows and uses tools like Lovable, Make and Kajabi to help entrepreneurs save time and grow faster. Important: This article is based on my personal experience as an automation specialist and on general information about Lovable. For specific technical questions or implementation details, I recommend consulting the documentation of the platform or working with a specialist.

The answer in 30 seconds The AI tools I use daily are: ChatGPT for research and planning, Claude for writing in my style, NanoBanana for visual assets, NotebookLM for in-depth research, and Gamma for presentations. The biggest problem? Most entrepreneurs only get about 20% out of what’s possible, because they don’t create projects, don’t add skills, and don’t give the AI enough instruction. Why AI tools aren’t delivering as much as you hoped As an entrepreneur with a digital product or course, you’ve probably played around with ChatGPT before. Maybe you even asked it once to write a caption or draft an email. And then you thought: “Hmm, this is okay… but not wow.” The problem isn’t the tool. The problem is how you use it. I work with AI tools for clients every day — from writing ads to creating complete content plans. And what do I keep seeing? Entrepreneurs using AI like it’s Google: you type something in, get an answer, and that’s it. But AI tools aren’t search engines. They’re virtual assistants you need to train — just like you’d train a new team member. And almost no one does that. Recent research shows that employees who use AI are about 40% more productive on average. But there’s a difference between people who “use” AI and people who truly leverage it. Frequent users save more than 9 hours per week, and some “superusers” even save 20+ hours per week. The difference? They know how to use AI tools effectively. 1. ChatGPT: my research and planning assistant Wat het is: De bekendste AI-tool, ontwikkeld door OpenAI. ChatGPT is een conversational AI die vrijwel elke vraag kan beantwoorden en taken kan uitvoeren. What I use it for:  For clients, I mainly use ChatGPT for: Research into audiences, trends, and strategy Creating content plans and editorial calendars Brainstorming campaign ideas Structuring information A concrete example:  A client wanted to launch her course but didn’t know which pain points to address in her ads. Instead of spending hours doing forum research, I asked ChatGPT to compile 20 common frustrations her target audience experiences. Within 5 minutes, I had a list of concrete quotes and pain points, complete with examples. We then used those in her ad copy. Result:  better click-through rate and lower cost per lead. Why most people get too little out of it:  People type vague prompts like “Give me a content plan” and expect something usable. But without context, ChatGPT doesn’t know who it’s writing for, what the tone of voice is, or what the goal is. What I do:  I create a project with all relevant information: target audience, tone of voice, brand values, previous high-performing content. Then I give specific instructions: “Write 10 Instagram posts in the style of [examples], aimed at [audience], about [topic].” The difference? Huge. 2. Claude: my writing assistant that knows my style What it is:  Claude is an AI model by Anthropic that excels at nuance and context. Where ChatGPT can sometimes sound a bit “AI-ish,” Claude can match a specific writing style more naturally. What I use it for:  Claude is my go-to for: Social media captions Newsletters Ad copy Any text that needs to sound like my voice The big difference vs ChatGPT:  I trained Claude with my Style DNA — a document that lays out exactly how I write, which words I use, how long my sentences are, and what my tone of voice is. Because of that, Claude writes copy that genuinely sounds like I wrote it myself. A concrete example:  For a client, I had to write 15 ads for different audiences. Normally, that would take me at least half a day. With Claude? An hour and a half. Not because I “copy-pasted,” but because Claude delivered a first draft that was already 80% right. I only had to tweak the details. The mistake everyone makes:  People don’t give Claude (or any AI) examples or instructions. They assume the AI will automatically know how they write. It won’t. What actually works:  Create a document with 5–10 examples of your best writing. Upload it to Claude. Ask Claude to analyze your style. From that point on, Claude can write in your voice. That saves hours. 3. NanoBanana: visual assets that stand out What it is:  NanoBanana is an AI image generator you can use to create unique visuals for social media, ads, and websites. What I use it for:  Many clients don’t have the budget or time for a designer, but they do want professional-looking visuals. NanoBanana solves that: Ad visuals that match the brand identity Social media content with a distinct look Illustrations and graphics for landing pages The advantage over stock photos:  Stock photos are generic. Everyone uses them. With NanoBanana, I can create something unique in minutes — and perfectly aligned with what the client wants to communicate. A concrete example:  For a client selling wellness courses, I created a series of ad visuals in a consistent style: soft colors, minimalist composition, natural elements. All visuals done within 30 minutes — and they looked like a designer had spent hours on them. Why people underestimate it:  They think AI-generated images look “fake” or “cheap.” But that’s usually because they don’t give clear instructions. If you describe exactly what you want (style, colors, composition, mood), you can get professional results. Tip:  Use a style reference feature. Upload an image you like and ask the AI to work in that style. Game-changer. 4. NotebookLM: research on another level What it is:  NotebookLM is a Google research tool that analyzes your documents, videos, links, and other sources — and turns them into summaries, infographics, and even audio podcasts. What I use it for:  This is my secret weapon for complex projects: Analyzing long documents and reports Summarizing webinars and videos Creating infographics based on lots of information Generating audio summaries so you can learn on the go How it differs from “just Googling”:  NotebookLM works only with the sources you upload. It doesn’t make things up. If you upload 10 documents about Facebook Ads, NotebookLM can summarize them, connect the dots between sources, and even generate a podcast-like audio conversation where two AI voices discuss the topic. A concrete example:  A client had taken 5 different email marketing courses but couldn’t remember which tip came from where, or how everything fit together. I uploaded all her course materials into NotebookLM, and within minutes she had a clear summary, an infographic with key points, and an audio overview she could listen to while working out. The feature nobody knows about:  NotebookLM can create infographics based on your sources. Imagine uploading a long article or report and getting a visual summary you can share immediately — perfect for social media or presentations. 5. Gamma: presentations in minutes instead of hours What it is:  Gamma is an AI tool that lets you create professional presentations in minutes. You give the AI a topic and structure, and it builds the entire deck for you. What I use it for:  For clients who present often: Pitch decks for investors Course materials and lesson slides Webinar presentations Internal trainings The difference vs PowerPoint:  In PowerPoint, you do everything yourself: choose layouts, write text, design slides. Gamma does about 80% of the work. You provide the content and structure, and Gamma creates a visually strong presentation that you only need to refine. A concrete example:  A client needed a 30-slide webinar presentation about Instagram strategy. Normally, that would take her at least 4 hours. With Gamma, she had a complete deck in 45 minutes — with professional layouts, relevant images, and a clear structure. Why people don’t use it:  They don’t know it exists. Or they assume AI design tools “aren’t there yet.” But Gamma is already good enough for 90% of the presentations entrepreneurs make. The real problem: AI tools are being used like Google Here’s what I see with almost every entrepreneur who says, “I tried AI, but it didn’t do much for me”: They don’t create projects They don’t add skills They don’t upload examples or Style DNA They write vague prompts They don’t give the AI context It’s like hiring a new employee and expecting them to automatically understand your business, your tone of voice, and what you mean by “make something nice.” That doesn’t work. And it doesn’t work with AI either. How to use AI tools effectively Here’s what I do — and what makes the difference: 1) Create projects In ChatGPT and Claude, you can create projects with all relevant information: who you are, what you do, who your target audience is, and your tone of voice. Every time you ask something within that project, the AI has the full context. 2) Add skills and knowledge Upload documents the AI needs to know: your brand identity, previous successful content, your Style DNA, your audience analysis. The more context you provide, the better the output. 3) Write specific prompts Not: “Write an Instagram caption.”But: “Write an Instagram caption of 120–140 words, in my tone of voice (see Style DNA), about [topic], aimed at [audience], with the goal of [conversion/engagement/awareness]. Use a curiosity-driven opening line and end with a question.” 4) Train the AI with examples Upload 5–10 examples of your best writing. Ask the AI to analyze your style. From that point on, it can write in your voice. 5) Iterate and refine AI rarely produces the perfect output in one go. Ask for adjustments: “Make it more personal,” “Add more emotion,” “Make it shorter but keep the punch.” Each iteration improves it. The numbers don’t lie: AI pays off Research shows that: Writing tasks are completed 59% faster with AI Complex tasks like programming can be completed up to 126% faster Users save an average of 2.2 hours per week (on a 40-hour workweek) Frequent users can reclaim 20+ hours per week But that only happens if you use AI the right way: as a virtual assistant you train — not as a search engine you type into. Frequently asked questions Aren’t AI tools expensive? ChatGPT and Claude have free versions that can already do a lot. For professionals, a paid plan costs about €20–25 per month. If it saves you 5 hours per week, you earn that back in one hour. Doesn’t AI-written text sound “AI-ish”? Only if you don’t give the AI instructions. If you train it with your style and use specific prompts, it can write in your voice. How do I know which AI tool to use for which task? Experiment. I use ChatGPT for strategy and research, Claude for writing, NanoBanana for visuals, NotebookLM for analysis, and Gamma for presentations. But your ideal combination may be different. Can I trust AI with confidential information? ChatGPT, Claude, and other major tools claim they don’t train on your data if you have a paid account. Always check the privacy policy. For extra sensitive information, you could consider locally run AI tools. Conclusion: the tool isn’t the problem — the approach is AI tools are incredibly powerful — but only if you use them as intended: virtual assistants you train and instruct. Stop using AI like it’s Google. Create projects. Add context. Train the AI with examples. Write specific prompts. That’s when you’ll truly see what AI can do for you. And if you do that? You won’t just save 20 minutes a day — you’ll save hours. You won’t get “okay” output — you’ll get content that sounds like you wrote it yourself. You won’t become a little more efficient — you’ll become radically more productive. That’s the difference between “trying” AI and really using it. About Britt from B-Connecting Britt helps entrepreneurs with digital products and courses set up their marketing and systems in a smart way. With years of experience training and using AI tools for a wide range of clients, she knows exactly how to use AI effectively — without it sounding “AI-ish.” Want to learn how to use AI tools effectively for your business? Send a message and we’ll explore the options together. Important: This article is based on my personal experience as a marketing automation specialist and general information about AI tools. Results may vary by person and situation. For specific implementation questions, I recommend experimenting with the tools yourself or working with a specialist.

The answer in 30 seconds The three essential automations for entrepreneurs with digital products are: (1) automatic product access after payment, (2) an automated lead magnet flow from signup to follow-up, and (3) email sequences to keep customers engaged. These automations save 5–15 hours per week and increase engagement and conversion by 30–40%. Why most entrepreneurs still work manually You sell a digital product. That could be an online course, a membership, a digital download, or a coaching program. Someone buys — and then you start: Manually granting access in your platform (Kajabi, Teachable, or your own system) Writing and sending a welcome email Adding the new customer to your CRM Creating a tag so you can find them later Checking whether the payment has come through It takes you 5 minutes per customer. With 10 new customers a week? That’s almost an hour. With 50 customers a month? More than 4 hours of repetitive work you can fully automate. And the worst part? Your customer has to wait — sometimes hours, sometimes a full day before they get access. Right at the moment they’re most motivated to start. I see this every week with clients. And whenever I ask why they do it manually, the answer is always the same: “I thought automation was complicated,” or “I thought it would be expensive.” But automation is more accessible than ever. And the time you save, you earn back within a week. Why automation is so important for digital entrepreneurs Whether you sell a course, run a membership, offer coaching, or sell digital downloads — the principle is the same: when people pay, they want access immediately. And once they have access, you want to keep them engaged. Here’s a confronting statistic: the average online course has a completion rate of just 10–20% . The same applies to other digital products like memberships: engagement drops quickly if you’re not actively communicating with your customers. But products with strong automation and communication? Those see engagement and customer satisfaction increase by 30–70% , according to research from Thinkific and Harvard Business Review (2024). The difference? Automated communication that delivers the right information at the right moment. A welcome email that arrives immediately after purchase. A check-in email after a week. Tips and support at key moments. And the best part: you only have to set it up once. After that, it runs on its own. Automation 1: Instant product access after payment The problem:  One of my clients granted every customer access to her digital product in Kajabi manually. It took her 5 minutes per customer: checking the payment, activating access, writing a welcome email, and adding a tag. With an average of 40 new customers per month, she spent more than 3 hours a month on this manual work. And her customers? They sometimes had to wait up to 24 hours before they could start — exactly when their motivation was at its highest. The solution:  We built an automation using Plug & Pay, Zapier, and Kajabi: The customer pays via Plug & Pay Zapier receives the trigger The customer is automatically added to Kajabi with access to the correct product (course, membership, downloads, etc.) The customer immediately receives a welcome email with login details and instructions In the CRM, the customer gets the right tag (for example: “Product A – Active”) Optional: the customer is also added to Huddle for community access or gets access to extra materials The result: From 5 minutes per customer to 0 minutes From 3+ hours per month to 0 hours Customers get access within 60 seconds Everything is neatly logged in the system And most importantly? Her customers could start immediately, at the exact moment they were most motivated. No more frustration about waiting times. Why so few people do this:  Most entrepreneurs with digital products think this is: Too technical Expensive Difficult to set up But in practice, setting up an automation like this takes about 1–2 hours  (one-time), and you only need a Zapier account (from €20 per month  for a paid plan, or free if you stay under 100 tasks per month ). Automation 2: An automated lead magnet flow The problem:  Lead magnets are one of the most powerful ways to collect leads. But sending them manually? That takes time. One client had a lead magnet (a free checklist) to bring in leads. Every time someone signed up, she: Manually wrote an email with the download link (10 minutes) Added the lead to her spreadsheet (2 minutes) Sometimes forgot to send a follow-up email With 30 requests per week, she was spending more than 6 hours per week. And the worst part? If she forgot, she lost the lead. The solution:  We built a complete lead magnet automation: The lead requests the lead magnet via a landing page (for example via Plug & Pay or Kajabi) Automatic delivery: an email with the lead magnet is sent immediately Email funnel starts: the lead is automatically added to a sequence of 5–7 emails sent over 2 weeks CRM registration: the lead is added to Airtable with the status “Lead magnet received” Triggers for follow-up actions: If a lead opens the email but doesn’t click → a different sequence If a lead clicks the link → tag “interested” + a different flow If a lead does nothing after 2 weeks → tag “inactive” The result: From 10 minutes per lead to 0 minutes From 6 hours per week to 0 hours No more forgotten leads Better conversion because follow-up always happens Why this is so powerful:  Research shows that automated email marketing increases conversion by an average of 77%  — but only if you do it consistently. Manually, you do it once, maybe twice, and then you forget. Automated? Every lead gets the same perfect experience. Automation 3: Email sequences to keep customers engaged The problem:  This is the automation almost no one has — but it makes the biggest difference. Your customer buys your product. Gets access. And then… silence. No check-in, no tips, no “how’s it going?” The result? Courses:  the customer gets lost and doesn’t finish Memberships:  the customer stops logging in and asks for a refund Digital downloads:  the customer doesn’t use it and stays dissatisfied Coaching:  the customer doesn’t prepare and gets less out of it The solution:  Build email sequences that guide customers after purchase. For courses: Day 1: Welcome email + “Start with module 1” Day 3: “How’s it going? Here are 3 tips to get the most out of it” Day 7: Check-in email + “Have you reached module 2 yet?” Day 14: Motivation boost + “You’re halfway there!” If inactive after 10 days: “Are you stuck? Here’s help” For memberships: Day 1: “Welcome! Here’s what you’ll find inside the membership” Day 3: “Have you checked out the new content yet?” Weekly: Highlights of new content Monthly: “What you missed + what’s coming up” For digital downloads: Immediately: Download link + “How to use this” Day 3: “Have you used it yet? Here are some extra tips” Day 7: “Questions? This often helps others” Day 30: “More resources you can use” For coaching: Before the first session: Prep email with questions After the session: Summary + action points Between sessions: Check-in and motivation After the program: Evaluation + next steps The result: Courses:  completion rates increase from 10–15% to 40–70% Memberships:  churn (the number of people who cancel) drops by 30–40% Downloads:  usage and satisfaction increase Coaching:  better preparation and better outcomes According to research from 2024, products with automated engagement sequences see their completion rates and customer satisfaction increase significantly. Why so few people do this:  They simply don’t think of it. Or they think, “I’ll do that manually when I have time.” But that time never comes. And meanwhile: Customers don’t finish products They remain dissatisfied (but don’t request a refund) They don’t leave positive reviews They don’t tell others about your product Tools you can use: Mailblue or ActiveCampaign for emails Kajabi has built-in sequences Zapier or Make to connect triggers (for example: student completes module 3 → trigger the next email) Bonus: What happens if you don’t automate this? Let’s do the math. Working manually: 5 minutes per customer to grant access 10 minutes per lead magnet request 0 minutes for engagement (because you never get around to it) With 40 customers per month  + 30 lead magnet requests per week : Product access: 40 × 5 min = 200 min (3.3 hours per month) Lead magnets: 30 × 10 min × 4 weeks = 1,200 min (20 hours per month) Total: 23+ hours per month With automation: 0 hours per month That’s almost a full workweek you gain back. Every month. Frequently Asked Questions Isn’t automation expensive? A Zapier account starts at €20 per month (or free up to 100 tasks). Make is even cheaper, starting at €9 per month. If it saves you 20+ hours per month, you earn it back in an hour. Do I need to be technical to set this up? No. Tools like Zapier and Make are no-code. You click, choose apps, and connect them. Most automations can be set up in 1–2 hours (one-time). After that, they run on their own. What if something goes wrong with the automation? All tools notify you if something doesn’t work. Plus, you can always run tests before going live. And in the worst case? You do it manually once and fix the automation. Can I use this for other things too? Yes! The same principles apply to: Webinar registrations Free trainings Membership sites Coaching programs Product launches How do you get started? Step 1: Start with the biggest time-waster Which task costs you the most time right now? Granting course access? Sending lead magnets? Start there. Step 2: Map your ideal flow Write down what should happen, step by step. For example: Customer pays Customer gets access to the product/course/membership Customer receives a welcome email with instructions Customer is added to the CRM with the right tag Step 3: Choose your tools For payments: Plug & Pay or Kajabi For automation: Zapier or Make For email: Mailblue, ActiveCampaign, or Kajabi’s built-in email tool For CRM/follow-up: Airtable, Notion, or your existing CRM Step 4: Build the automation Follow the steps in Zapier/Make. Test thoroughly. Go live. Step 5: Monitor and optimize After one week, check if everything is working. Adjust where needed. And enjoy your regained time. Conclusion: automation isn’t a luxury — it’s essential As an entrepreneur with digital products, you have two options: Option 1:  Keep working manually, spend 20+ hours per month on repetitive tasks, and watch customers not fully use your product or remain dissatisfied. Option 2:  Invest 2–3 hours setting up automations, gain 20+ hours per month back, and see engagement, satisfaction, and results improve significantly. The best part: you don’t have to do everything at once. Start with one automation. See the difference. Then build from there. Because every minute you save on repetitive work is a minute you can spend on what really matters: creating better products, helping your customers, and growing your business. About Britt from B-Connecting Britt helps entrepreneurs with digital products set up their marketing and systems in a smart way. With years of experience building automations for Kajabi, Plug & Pay, Mailblue, and other tools, she knows exactly how to connect separate systems — and which automations truly make the difference. Want help automating your digital product? Send a message and we’ll explore the options together. Important: This article is based on my personal experience as an automation specialist and on general information about digital platforms and automation tools. Results may vary by situation. For specific questions about implementation for your product, I recommend working with a specialist.

The answer in 30 seconds Zapier is the best choice if you’re just getting started with automation and want a user-friendly tool with lots of integrations. Make is ideal for slightly more complex workflows and is also a lot cheaper. Both tools now have an AI assistant that helps you build automations. Why this choice matters If you’re an entrepreneur working with digital products or online courses, you’ve probably run into the same issue: too many separate systems you have to connect manually. Plug & Pay, Kajabi, Mailblue, Trello, Google Sheets, Airtable — all tools you use every day, but that don’t naturally “talk” to each other. In my work as an automation specialist, I’ve built hundreds of automations by now — from simple notifications to complex funnels that push customer data through multiple systems. And time and again I see the same thing: entrepreneurs have no idea what’s possible. They spend hours each week on tasks that could be automated with a single click. The problem usually isn’t that they don’t want to automate — it’s that they don’t know where to start. And the first question that comes up is always: Zapier or Make? My experience: from manual work to saving 6 hours per week When I first started building automations for my clients, Zapier was my go-to tool. Easy, clear, and it connects with almost any app you can think of. But as workflows became more complex and clients started handling more volume, I found myself using Make more and more often. A concrete example: one of my clients used Plug & Pay connected to Kajabi for her courses, but everything still had to be updated manually in Trello and Mailblue. Every new student meant copying data, adding tags, and updating task lists. On average, that cost her about 6 hours per week in admin work. By building an automation in Zapier that was live within 2 hours, she got those 6 hours per week back. New students were automatically added to the right course, received the welcome email, and appeared in Trello with all the details. No manual work anymore. According to recent research, employees can save an average of 240 hours per year by automating repetitive tasks — that’s about 4.6 hours per week. For entrepreneurs, those savings can be as high as 360 hours per year. The biggest difference: ease of use vs flexibility Zapier: the easy way to start Zapier has a step-by-step interface that guides you through the setup like a checklist. You select a trigger (“when this happens”), choose an action (“then do this”), and you’re done. Perfect if you: Are just getting started with automation Want something up and running quickly without technical knowledge Mainly need simple point-to-point automations Zapier has more than 7,000 app integrations, including virtually all major platforms. Research from 2024 shows that Zapier still has the largest integration library, making it the most accessible option for beginners. Make: visual and powerful Make works with a visual canvas where you connect modules together. You can literally see how data flows through your automation. This makes it: Easier to understand and manage complex workflows Possible to build multiple paths within a single automation Ideal if you want a bit more control Make has around 2,400 integrations — fewer than Zapier — but it often offers more actions per app. For example, where Zapier has 25 actions for Xero, Make has 84. What I often see in practice: people start with Zapier because it feels more approachable. But as soon as they want their automation to become “smarter” — for example, different paths based on tags or behavior — they switch to Make. Or they use both: Zapier for the simple stuff, Make for the more complex flows. Pricing: this is where it gets interesting This is what keeps a lot of entrepreneurs up at night — and for good reason. Automation should save you both time and  money. Zapier charges per “task”: every time your automation runs, that counts as 1 task. A €29/month plan gives you 750 tasks. Make charges per “operation”: every step in your automation counts as 1 operation. So if your automation has 5 steps, each run costs 5 operations. A €9/month plan gives you 10,000 operations. On paper, Make looks cheaper — but it depends on how complex your automations are. For simple workflows (2–3 steps), Make is significantly more cost-effective. For very simple one-to-one connections, Zapier can sometimes come out better. Comparisons show that Make is often 50–70% cheaper  than Zapier for similar workloads, especially with more complex automations. Which one should you choose? Here’s what I often tell clients: Choose Zapier if: You’re just getting started and mainly want it to work without any hassle You mostly need simple automations (newsletter after purchase, notification when a new lead comes in) You use a niche tool that’s only supported by Zapier You’re willing to pay a bit more for ease of use Choose Make if: You already have some automation experience (or you learn fast) You want to build more complex workflows with multiple paths You’re budget-conscious and run a lot of automations You like seeing visually how everything works My advice: start with the free version of both and test one simple automation. Zapier gives you 100 tasks per month for free, and Make gives you 1,000 operations. That way, you’ll quickly feel which interface suits you best. The game-changer: AI assistants Both tools now have AI assistants built in. This is hugely valuable, especially if you’re not exactly sure how to structure an automation. You tell the AI what you want (for example: “When someone buys my course via Plug & Pay, I want them to automatically get access in Kajabi and receive a welcome email via Mailblue”), and the assistant builds the workflow for you. Zapier has Copilot , which recommends workflows based on the tools you use. Make has similar functionality built in. Neither is perfect yet, but they’re incredibly helpful for discovering possibilities you might not have considered. What I often see: entrepreneurs underestimate what’s possible The biggest problem usually isn’t the tool — it’s that entrepreneurs don’t realize how much can be automated. They think of automation as “send a Slack notification” or “add a row to a spreadsheet,” but there’s so much more you can do, like: Automatic lead scoring based on behavior Segmenting customers and sending different content Sending reminders when someone doesn’t finish a course Automatically generating and sending invoices Syncing data across 4–5 different tools I’ve noticed that as soon as I start brainstorming with a client about what’s possible, the options start to feel endless. And honestly, they are. The tools are there — it’s about knowing what you can do with them. And what if you want even more? That’s where n8n comes in. For completeness: there’s also n8n , an open-source alternative that gives you even more control. But that’s really for technical experts. Make is already a step more advanced than Zapier — and n8n is a whole different world beyond that. For 95% of entrepreneurs , choosing between Zapier and Make is more than enough. Frequently Asked Questions Can I migrate my workflows from Zapier to Make? Unfortunately, not with a single click. You’ll need to rebuild them. Both tools use webhooks and APIs, so technically migration is possible — but it takes time. Which tool has the best customer support? Zapier has more extensive documentation and a larger community. Make’s support is solid, but smaller. Both have active forums where you can often get quick answers. Can I use both tools at the same time? Absolutely. Some entrepreneurs use Zapier for one set of automations and Make for another. It depends on what you need. How much technical knowledge do I need? For Zapier: almost none. If you can create an account and use a dropdown menu, you’ll be fine. For Make: a bit more logical thinking helps, but you don’t need to know how to code. Conclusion: which one is right for you? There’s no single “best” tool — only the tool that best fits your  situation. Zapier wins on ease of use and app support. Make wins on pricing and flexibility. My advice: test both using your most frustrating manual task. The tool you can get working within an hour — and that saves you 6 hours per week — is your winner. And if you can’t figure it out? Ask someone with experience. Sometimes it’s simply helpful to have someone think along with you — someone who’s built hundreds of automations and knows what’s possible. About Britt from B-Connecting Britt helps entrepreneurs with digital products and online courses set up their marketing, systems, and automations in a smart, scalable way. With hands-on experience in tools like Zapier, Make, Kajabi, Plug & Pay, Mailblue, and more, she knows exactly how to connect separate systems — and which automations actually save you time. Want to know what’s possible for your business with automation? Send a message and we’ll explore the options together. Important: This article is based on my personal experience as an automation specialist and on general information about Zapier and Make. For specific technical questions or implementation details, I recommend consulting the documentation of both platforms or working with a specialist.