Monetization UX Design
Most AI-era SaaS companies let monetization happen by accident. I design the moment where value and money intersect — intentionally.
Limited availability. Kept intentionally focused.
The problem
Users are coming in. Revenue is happening. But the system isn't converting the way it should.
Growth feels slower than expected. Conversion feels inconsistent. That's not a traffic issue — it's a monetization gap.
The rise of usage-based and AI-native pricing has created an entirely new monetization design problem — and most teams don't have anyone who owns it.
What you're experiencing
Growth feels slower than it should for your traffic volume.
What's actually happening
Conversion is inconsistent — and if you're using usage-based or AI-native pricing, your billing experience may be creating anxiety instead of trust.
What it means
Your product already has the growth potential. It needs the right monetization design — not more users.
What I do
Most AI-era SaaS products have one of two monetization design problems. I diagnose which one you have — and what it's costing you.
Free to Paid Conversion
Finding the feature that creates the most value for your users and designing the upgrade moment around it — so conversion feels like a natural next step, not a wall.
Usage-Based Monetization UX
Designing around variable cost so your pricing model builds trust instead of triggering anxiety. Clarity at every step. No billing surprises. No churn you didn't see coming.
Conversion friction
Where users hesitate or drop off before they pay.
Expansion opportunities
Where customer value could grow but isn't being captured.
Proof of work
Upwork
Free-to-paid conversion at scale — before PLG had a name.
Upwork needed to shift freelancers from a free-to-apply model to a paid one — without triggering revolt. Redesigned the entire Connects experience platform-wide, from messaging to pricing pages, with staged rollout and community testing.
Google Play
Designing trust into the billing moment — at global scale.
Only 5% of subscribers had a backup payment method — creating silent, involuntary churn at scale. Designed a post-purchase consent flow that balanced legal requirements, user trust, and conversion across global markets.
Google Play
Making the monetization surface work harder at the point of purchase.
The buy sheet showed one default payment method and nothing else — no offers, no incentives to switch. Redesigned the cart to surface eligible promotions and regional payment options inline at the moment of purchase.
The offer
A screenshot-based analysis of where your monetization experience breaks down — and why. Built for AI-era SaaS products navigating free-to-paid conversion and usage-based pricing complexity.
No fluff. No long decks. Just clear, strategic insight you can act on immediately.
You'll walk away with
Delivered in 5 business days
Why so fast?
I developed proprietary revenue intelligence tooling that runs the analysis in minutes. What used to take a consulting team weeks, I deliver in five business days — without sacrificing depth.
About
I'm Latoya Hall — a monetization and growth UX specialist with 12 years of experience helping software products earn more from what they've already built.
Before Studio1942, I embedded inside teams at Google Play, LinkedIn, Upwork, T-Mobile, and Rocket Lawyer — diagnosing where users dropped off, why conversions stalled, and what UX shifts moved revenue.
Right now I'm focused on a specific problem: AI-era SaaS products that have nailed the product but haven't designed the monetization experience to match.
Past experience
Is this right for you?
This is for you if
This is not for you if
If there's revenue being left on the table — we'll find it. In 5 days.