Proprietary Credits Turn Users Into Hostages (Politely)

The Retention Secret Nobody Talks About

I was on a coaching call recently with a founder building an AI product on top of a chatbot infrastructure. Smart guy. He'd already booked a meeting with a real prospect and was closing in on his first deal. But buried in the call - almost as a throwaway line - he said something that I wanted to pull out and examine properly, because most AI founders either don't realize they have this lever, or they're too squeamish to pull it.

He said: "Oh, that's the cool thing about Galadon once it's built - they need the AI to run it. We're not GPT. We have our own credit system."

That's it. That's the whole game.

He was describing it like a technical footnote. I'm telling you it's a business strategy. The proprietary credit system isn't a feature. It's the cage - and it's a cage with great branding, comfortable furniture, and a door the customer doesn't want to open.

Let me explain exactly what I mean and why you should be building this into your AI product from day one.

What a Proprietary Credit System Actually Does

When a SaaS product uses a third-party API directly - say, you're just wrapping GPT calls and charging a flat subscription - the customer is actually paying you for access to something OpenAI built. They know that. They're one Google search away from figuring out how to replicate your setup. Maybe they even do it. You've just trained a future competitor who used to be your customer.

Now flip it. You build your own credit layer. You issue your own units of consumption. The customer doesn't buy "AI queries" - they buy your credits. They top up their account. They build a balance. Those credits now represent something to them: they represent potential. Campaigns they haven't run yet. Leads they haven't scraped. Conversations they haven't had.

At that point, leaving your platform isn't just a technical decision. It's a psychological one. They're not just cancelling a subscription - they're abandoning credits they already own. Abandoning something that already feels like theirs.

This is the retention mechanism nobody talks about because it doesn't look like a retention mechanism. It looks like a payment system.

Why Switching Costs Are Your Most Underrated Asset

Every business has some kind of switching cost, but most founders treat it as a side effect rather than a design choice. The reality is that the best SaaS companies in the world engineer it deliberately. They're not evil for doing this - they're smart. And the AI space is making this move easier and more natural than it's ever been.

Think about the products you use daily and never think about cancelling. It's not always because they're the best product on the market. It's because leaving has a cost that feels disproportionate to the effort. Your data is in there. Your history is in there. Your team learned how to use the workflow. Starting over means losing something you've already invested in building.

For AI products specifically, a proprietary credit system does three things simultaneously:

• It creates prepaid commitment. When a customer buys a block of credits upfront, they've pre-committed to staying long enough to use them. Every credit they spend is a micro-renewal.
• It decouples your pricing from your costs. You're not just passing through API costs - you're creating a consumption economy with its own unit economics that you control.
• It makes your product feel owned, not rented. A subscription feels like a lease. Credits feel like property. People are a lot more careful about walking away from something they own.

The Real Story: How This Played Out on the Call

The founder I was coaching had an interesting approach to his go-to-market. Instead of trying to pitch a fully finished product, he was doing something smart: he was selling custom integrations. A prospect was having trouble with their chatbot implementation. His pitch wasn't "here's our product, buy it." His pitch was "tell me exactly what you want, we'll scope it out and build in that direction."

That's a closer's move. When you pitch something custom, you're not competing against a finished product at a different company - you're the only person on the planet who can deliver exactly what this client asked for. You've removed the comparison entirely. And once you've built what they asked for, guess what? Their custom requirements now live inside your system. Switching means rebuilding everything from scratch elsewhere.

He mentioned his base price was $2,000 a month, with a few thousand on the front end to cover custom dev. That upfront payment does something psychologically important: it creates a committed buyer, not a trial user. When someone has written a check to customize a product to their specific needs, their identity gets attached to that product working. They become invested in its success. That's retention you can't buy with a free trial.

The credit system then sits on top of all of this. Once they're using the product, every conversation, every automated workflow, every AI response burns through the credits they own. They're not thinking about whether to cancel - they're thinking about whether they need to top up.

Why Most AI Founders Are Too Squeamish to Do This

I've talked to a lot of AI product founders, and there's a weird discomfort around building lock-in on purpose. They've read enough think-pieces about "customer-centricity" and "transparent pricing" that they feel guilty about designing retention into their product architecture.

Get over it.

You are not doing anything wrong by building a system that makes your product worth staying in. If your product delivers real value - and it should, or none of this matters - then keeping customers inside that value engine is a service, not a trap. The customer who stays with you because leaving is hard is often the customer who ultimately gets the best results, because they actually use the product long enough for it to work.

The founders who avoid this logic end up with products that live and die by feature comparison. Their customers are perpetually one competitor announcement away from churning. Every month is a re-sell. That's exhausting, and it's completely avoidable.

The founder I was coaching understood this intuitively. He wasn't describing his credit system as a lock-in mechanism - he was describing it as a feature. "They need the AI to run it," he said. Exactly. That's the answer. You're not holding anyone hostage. You're building something they genuinely need. The fact that needing it makes it hard to leave is a structural bonus.

The Offer Has to Be Real First

I want to be clear about something before anyone gets excited and goes off to build a credit system on top of a garbage product. The credit system only works as a retention mechanism if the underlying offer is delivering real results.

I've helped over 10,000 founders work through their offers, and the single most common failure mode is what I call the Vanity Product Trap. You build something that looks innovative. Early adopters call it brilliant. The product gets attention. And then churn skyrockets because nothing actually changed in the customer's bottom line. The AI sales deck that wows in a demo but doesn't book more meetings. The hyper-personalized outreach tool that impresses on a call but doesn't move the revenue needle. Customers figure it out fast.

No credit system saves a product that doesn't deliver real ROI. In fact, a credit system on a bad product just accelerates the realization that the product is bad - people watch their credits disappear and see nothing changing in their business, and the psychological equation flips. Instead of "I have credits, I should stay," they think "I'm burning money on something that doesn't work."

So first: make the product work. Get results for real customers. Then architect the credit system to keep those customers inside the value they're already experiencing.

How to Think About Your Consumption Layer

If you're building an AI product right now, here are the questions I'd be asking about your consumption layer:

What is your unit of value?

In the founder's case, it was AI-powered conversations or automations - whatever the chatbot was actually doing for the client. Before you design a credit system, you need to know what one unit of value looks like. Is it a lead enriched? A message sent? A call analyzed? A report generated? Name the unit clearly, because that's what you're going to price in credits.

Can the customer see their balance?

A credit system with no visibility is just a confusing billing system. You want the customer actively aware of their balance - watching it change is part of the psychological engagement. They should be able to log in and see exactly how many credits they have, what they spent them on, and what they can still do. Scarcity drives action. A customer who can see their balance running low is a customer who's thinking about topping up, not thinking about cancelling.

Are you issuing credits at the account level, not the seat level?

Seat-based pricing creates a different psychology - one that encourages people to reduce seats when things get tight. Credit-based pricing at the account level does the opposite. The whole team is drawing from one pool, which means the whole team is invested in getting value from the product before those credits run out. It distributes the lock-in across an entire organization instead of concentrating it in one user.

What happens when credits expire (or do they)?

This is a design choice with real business implications. If credits expire, you create urgency but you also create resentment when people lose credits they feel they've paid for. If credits roll over indefinitely, you lose some urgency but you build goodwill. I generally think rolling credits are better for AI products in the early stages - you want your customers to feel like the relationship is fair, not like you're optimizing against them. The lock-in comes from the system being useful, not from forcing expiry.

Custom Dev as the On-Ramp, Credits as the Engine

The move the founder I was coaching was making - custom integrations as a sales tool, then recurring credits as the retention mechanism - is actually a really clean two-stage strategy worth stealing.

Stage one: sell custom. Find a prospect with a specific pain, scope out exactly what they need, build it. Charge a front-end development fee. This gets you into the account, it gets you paid to build something genuinely useful, and it gives you a reference client whose requirements are now embedded in your product.

Stage two: convert to recurring credits. Now that the custom build is live and the client is using it, you're not pitching a subscription - you're just formalizing the ongoing consumption. They're already using the AI. They already need the credits to keep running it. The $2,000 a month isn't a new cost to them; it's the cost of keeping something that's already part of their operation.

Do that two or three times and you've got a software business with genuine switching costs and recurring revenue. You've also got product feedback that's been paid for by clients who have real stakes in getting the product right. That's a much better way to build than locking yourself in a room trying to guess what the market wants.

If you want to think through your own offer structure - including how to price and position something like this - the 7-Figure Agency Blueprint is a good place to start. A lot of what I walk through there applies directly to AI products, not just agencies.

The Lead Gen Side of the Equation

None of this matters if you can't get the meetings to pitch it. The founder I was coaching had already booked a meeting using outbound - and that's exactly how I'd tell anyone to launch an AI product. Don't wait for inbound. Don't run ads. Send cold emails, make calls, book meetings, get in front of the people who have the specific pain your product solves.

For prospecting, I use ScraperCity's B2B email database to pull targeted lists - you can filter by industry, company size, and a bunch of other criteria to find exactly the kind of buyers you want in the pipeline. Pair that with Smartlead or Instantly for sending and you've got a full outbound machine. It's not complicated. It's just reps.

For AI-specific outreach, the pitch has to be concrete. Don't lead with "AI-powered" anything - every product claims that now. Lead with the outcome: what changes in the buyer's business if this works? If your AI chatbot closes more inbound leads, lead with the closed leads. If it saves the team 10 hours a week, lead with the hours. Outcomes close. Features are just the proof.

Check out my top 5 cold email scripts if you want templates that are built around outcome-led pitching - they're specifically designed to get responses from people who are constantly getting spammed with generic AI pitches.

The Uncomfortable Truth About Retention

Most founders think about retention as something you do after the sale - customer success calls, check-ins, asking for testimonials. That stuff matters, but it's defensive. It's plugging holes after they appear.

The founders who build durable businesses think about retention before the sale. They design it into the product. They build systems where staying is the path of least resistance, where leaving costs something real, where the switching cost grows every month the customer is active.

A proprietary credit system is one of the cleanest ways to do that in an AI product. It's not manipulative - it's structural. You're not tricking anyone. You're building a product that, over time, the customer comes to own a piece of - through their balance, through their history, through the customization they've paid for. Leaving means giving all of that up. Most customers won't.

The founder I was coaching was already thinking this way, even if he hadn't fully named the strategy. He knew that "they need the AI to run it" was a business advantage, not just a technical detail. He was right.

Build that layer early. Make it visible to the customer. Make the credits feel like something they own. And then go deliver enough real value that they never want to leave anyway.

That's the combination that actually retains customers: a great product and a system that makes walking away feel like a loss. You want both. Most products only have one. The ones that have both are the ones that scale.

If you want hands-on help building this kind of thing - the offer structure, the outbound to fill the pipeline, the product strategy to make the retention layer work - come check out Galadon Gold. That's where we work through this stuff live.