Product-Led
Growth
Reframing what "adoption" means when users come with completely different intentions, and redesigning the moments between purchase and first success.
Context
Why aren't users upgrading?
The company had invested in a self-service platform for SIM card customers and was pursuing a Product-Led Growth motion to drive upgrades and expand usage. The initial approach — feature advertising banners, content blocking, and contact forms to prompt upgrades — was not converting users.
The question was simple on the surface. The answer turned out to be far more complex.
The starting assumption
"Users just aren't seeing the features"
The team believed the problem was visibility. The solution was to make the features more prominent: better banners, stronger calls to action, more aggressive upgrade prompts.
The banners were visually well crafted. They looked good. And users still did not respond.
Research
Asking a different question
Rather than optimising the existing approach, I stepped back and asked: who are the customers that actually succeed on this platform, and what does their usage look like?
I evaluated existing customer organisations with significant usage and a significant number of SIMs. I looked at why they were successful, how their platforms were structured, who the actual users were, and how they used the self-service tools day to day.
What I found reframed the entire problem.
Two completely different user profiles
Profile 01
The Trial User
- Looking for instant connectivity
- Motivated by price advantage in a very specific, isolated use case
- Evaluating the product, not investing in it
- Needs: fast activation, instant proof of value, low friction
Profile 02
The Scaling User
- Deploying 5,000 to 50,000 devices per year across verticals like asset tracking, micro-mobility, industrial sensors, smart farming, and shipping
- Small cross-functional teams: support engineers, software engineers, project managers, CTOs, hardware engineers
- Heavy API and webhook users integrating connectivity into internal systems, not evaluating a dashboard
- Building operational tools, not testing a solution
- Needs: control, bulk actions, network list management, device-level visibility, reliable data piped into their own systems
The critical insight: these two users have completely different definitions of value — and completely different willingness to pay.
What scaling-user behavior actually looks like
Analysing a cohort of 23 mid-market customer organisations and 71 active platform users surfaced patterns that contradicted the assumption users were passive.
- Nearly half of all SIM update API calls platform-wide originated from mid-market customers in the last twelve months.
- 17 of 23 companies had active API keys making calls at least every six months.
- 8 of 23 were piping webhook events into their own internal systems.
- Around 50% of SIM updates made via the dashboard came from this segment.
Different roles within the same customer organisation used the platform differently. Support engineers lived in the SIMs table and Traffic Monitor. Software engineers opened single SIM pages directly from links in their own tools. CTOs checked network lists and created API keys. CEOs updated SIMs themselves more often than any other role. Hardware engineers opened the specific SIMs that needed attention, bypassing search entirely.
These users were not browsing. They were operating. The interface was a control panel wired into their day-to-day work, not a showcase waiting to be explored.
The inflection point
Successful customers showed a clear pattern. They had created multiple custom network lists. As they expanded geographically or operationally, they created more — specific devices connecting to specific networks in specific business areas.
This was the inflection point. The moment a customer's connectivity needs became complex enough that manual management broke down was the moment the platform became genuinely valuable to them. That was when they were willing to pay for more.
The PLG motion was optimised for the trial user — who rarely reaches that inflection point. It was almost entirely ignoring the scaling user — who does.
Who uses isn't always who buys
The research also revealed a third dimension: who actually uses the platform is not always who decides to buy it.
Decision maker
Technical leadership / procurement
Cares about cost, reliability, scalability, security.
Daily user
IT admin / network manager
Cares about control, visibility, speed of configuration.
End device user
The person whose device connects
Does not know the SIM exists. Just needs it to work.
Designing for one of these people while ignoring the others breaks the entire experience.
The physical layer
The empty state was never empty
There was an additional layer unique to this product: a physical dependency.
When a user purchased a SIM and logged into the platform for the first time, they saw an empty dashboard. Not because something was wrong, but because the physical SIM had not yet activated on the network. The physical world moves slower than the digital one.
The user's emotional state in that moment was confusion and doubt.
"Is something wrong? Did I do something wrong? Does this even work?"
The existing response to this was more banners. More information. More content in the empty space.
But the user was not in a reading mindset. They were in an anxious mindset. No amount of beautiful design would fix a mismatch between the user's emotional state and the content being served to them.
Design direction
Meeting users where they are
Rather than advertising features or blocking content, we explored solutions built around three principles.
01
Celebration over promotion
Meet the user at the excitement of a new purchase. Channel that energy into action rather than trying to sell them something they just bought.
02
Guided first experience
Show the user how easy it is to test their SIM. Make the first successful action feel rewarding, not technical. The moment a user completes something, even something small, they feel ownership and confidence.
03
Progress and reassurance during waiting
During the physical activation gap, the user needs clarity not content. Where is my SIM in the process? What happens next? How long will it take? Simple, human answers to anxious questions.
The least costly solution — banners with information — had been tried and had failed even when executed beautifully. Users do not read. Users feel things, and they respond to things that meet them where they are emotionally.
Key learnings
What this work taught me
PLG is a user understanding problem, not a marketing problem.
Conversion lives at the intersection of the right user, at the right moment, experiencing the right value. Optimising the funnel without understanding who converts and why produces beautiful banners nobody reads.
The physical world creates unique UX constraints.
When a product has hardware dependencies, the design challenge extends beyond the screen. The gap between physical activation and digital experience must be designed for deliberately, not papered over with content.
The user who tries and the user who pays are different people.
Trial users and scaling users have different emotional states, different technical profiles, different definitions of value, and different relationships with price. Designing one experience for both is almost impossible. Understanding the distinction is what allows you to make the right choices.
Pricing model design is a UX problem.
When users are willing to pay, and what they are willing to pay for, is directly shaped by how and when they experience value. That is a design decision, not just a business one.
The most important question in PLG is not "how do we show users our features" but "who is the user that actually converts, and what does value look like for them at the exact moment they need it?"
The answer to that question changes everything: the empty state, the onboarding, the upgrade prompt, the pricing model, the platform structure itself.
Designing for the user's emotional state rather than the product's feature set is harder to measure and harder to sell internally. But it is the only approach that actually works.
Case study based on UX research and design work conducted during employment. Company and product details have been anonymised.