When a founder talks about locking in customers, many people recoil — “Isn’t that manipulative?” But in business, “lock-in” doesn’t have to sound sinister. It simply refers to designing your product, ecosystem, or experience in a way that makes customers not just want to stay, but find it costly (in effort, attention, or value) to leave. The best lock-in is built from value and dependence, not coercion.
In a digital age where switching costs are artificially low, customer attention is frayed, and competitors emerge with startling speed, well-designed lock-in is the difference between attrition and stability. This article will walk you through how to do this ethically and effectively. We’ll see how top tech companies do it, understand the psychology, and map out a framework you can apply in your startup or business today.
The old paradigm — build a product, get users, then monetize them — assumed users would stay if the product was “good enough.” But today, “good enough” isn’t enough. Barriers to switching are low: your customer might find a new app overnight, a competing SaaS could offer a discount, or a rival may poach users with a marginal feature.
Indeed, the concept of vendor lock-in (or customer lock-in) arises when switching to a competitor involves substantive costs. These costs are not only monetary: they can be the time to learn a new system, data migration pain, loss of user history, or re-integrating with workflows. Wikipedia defines vendor lock-in as forcing a customer to depend on a provider such that usage of alternative options incurs high switching costs.
In classic economic and strategic thinking, such lock-in can act as a moat. It tilts the balance toward retention rather than perpetual acquisition. The trick for founders is to build lock-in that customers accept, or even thank you for, rather than resent.
Lock-in isn’t one trick. It’s a confluence of three foundations:
Let’s unpack each.
At the core, your product must deliver value so strong that the alternative (switching) feels like a step down. This often means going deep rather than wide: solve something persistent, reduce friction, deliver compound benefit. When users lose your product for a day and feel real pain, that’s a sign they are locked in.
One principle is increasing switching costs: when users must carry over data, retrain, or give up history, they hesitate. A well-known strategy is to make data portability possible, but costly in user effort, not impossible. That ensures you’re not trapping users unfairly, but making the option of switching less attractive.
Another is leveraging complementary services. Apple is often cited: owning an iPhone, Mac, iPad, AirPods, iCloud — the integration across devices makes leaving the ecosystem painful. Microsoft Office likewise benefits from being embedded in company workflows and file formats. The more your product spills into adjacent needs, the harder users can separate from it.
Lock-in accelerates when usage is habitual. The more often someone returns, the more embedded your product becomes in their life. This is why daily or weekly touchpoints matter. A product doesn’t need to be used every hour, but it must be “on the circuit” enough such that user inertia sets in.
Each use session reinforces memory, data, preferences, and value. Over time, the mental cost of leaving becomes greater than the effort to stick. In behavioral psychology, this is akin to forming “automaticity” — making usage a default rather than a decision.
Ecosystems knit users when your product becomes a hub connecting multiple services or parties. For example, Amazon Prime is more than free shipping: it spans e-commerce, video, grocery, and delivery services. That breadth increases the pain of leaving because you lose many sub-services at once. Analysts refer to Prime as a loyalty ecosystem for precisely this reason. (Preparing for loyalty’s next frontier: ecosystems, McKinsey)
Similarly, in B2B SaaS, integrations (APIs, plug-ins, data flows) make your product the connective tissue in a user’s stack. Replacing you requires reworking multiple systems, making switching expensive.
Thus, good lock-in strategies often combine value, habit, and ecosystem into a compound effect stronger than the sum of parts.
Before going further, a warning: there’s a vital difference between ethical lock-in and coercive lock-in. The former retains users because they choose to stay; the latter traps them through hidden costs, poor exit paths, or unfair contracts.
ModelThinkers describes the lock-in effect as making switching “harder by friction,” but warns that if done manipulatively, customers will resent it. The more ethical approach is delivering increasing value to the staying customer rather than punishing the leaver.
When you design your lock-in strategies, make exit transparency, fairness, and data portability part of the trust contract. Users should never feel ambushed.
Here are six deeply applied, founder-friendly strategic moves you can adopt — embedded in narrative, not bullet laundry lists.
Your core product should require user effort to replicate elsewhere. Think of data history, personalization, preferences, or analytics, assets that accumulate over time. As users build investment in your product, switching away becomes psychologically and operationally costly.
For instance, in SaaS, if you allow export but make it tedious (say, managing mappings or conversions), you're not entrapping; you’re creating natural retention friction. This is the soft lock-in: friction, not barrier.
If your product allows third-party modules, plugins, or extensions, users will often prefer to stay and expand rather than migrate. Platforms like Shopify, Slack, or Notion benefit from vibrant ecosystems of plugins. The modular architecture becomes a bond: replacing your core means losing modules, customizations, and workflows.
By encouraging extension, you make your product the foundation of a personalized user stack. That’s stickiness.
Offer basic functionality for free or low cost, but embed optional premium layers that become more valuable over time. The more a user leans in, the harder it is to step back. This is particularly effective in subscription models: multiple tiers, add-ons, or feature bundles that users gradually adopt as they grow. The sunk cost and continued marginal value make abandonment less attractive.
Design to pull users into sticky behavior cycles. Use notifications, reminders, dashboards, or periodic triggers that draw users back. But don’t overdo it (you’ll annoy). The goal is to make the product feel “missed” when unused. Habit strengthens bonds and compounds retention.
Align your product with the adjacent systems users already use. If you integrate seamlessly with their calendar, communication tools, storage systems, and analytics platforms, switching away demands reworking a network of dependencies. The more your product sits at the intersection of their workflow, the more “sticky” it becomes.
Once you have one successful product, build or acquire adjacent ones so users stay within your family. Amazon (Prime, video, shopping), Apple (hardware + software + services), and Google (search + cloud + ads) show how vertical bundling can deepen lock-in. The logic: once someone uses several of your products, leaving feels like quitting an entire universe, not just one tool.
These strategies interact — modular extension increases value, integration increases cost of leaving, upgrade tiers build investment, and over time their compounding effect can make your product feel indispensable.
Let’s look at how actual companies implement these ideas.
Apple / iOS ecosystem. Apple is famous because it doesn’t just sell phones, it sells an integrated ecosystem of hardware, software, and services. iMessage, iCloud backup, AirDrop, Apple Watch interoperability, all these components make leaving iOS expensive to the user’s data, conversations, and habits. You lose continuity if you switch.
Slack / Atlassian stack. Slack becomes part of everyday communication. It integrates with JIRA, GitHub, Google Drive, and calendars. Replacing Slack means replacing dozens of workflows and losing message history. That cumulative friction makes alternatives less attractive.
Notion. Users build custom dashboards, relational databases, templates, and integrations. Switching away means losing that scaffolding. The effort to re-create pages, maps, and interconnections acts as a deterrent.
AWS ecosystem. Amazon Web Services embeds lock-in with proprietary services (Lambda, S3, DynamoDB) so that migrating becomes complex and costly. Many enterprises find switching clouds expensive because moving data, rewriting infrastructure, and revalidating systems costs more than staying.
These real-world examples show that lock-in isn’t about tricking users; it’s about delivering enough utility, integration, and network value that users rationally prefer to stay.
In the zeal to lock in, founders sometimes misstep. Let’s highlight a few traps.
Avoiding these pitfalls ensures your lock-in is robust, not brittle.
Lock-in is not about trapping unhappy customers; it’s about making your product so compelling, so integral, that users choose to stick. The better your product can deliver ongoing value, ease, integration, and habit, the less you need coercion.