Pricing Strategy • June 8, 2026
The pricing experiments that increased my revenue 340% — including the exact price points, tiers, and psychology that make customers buy more, not less.
Amina Black
Digital product creator • 12,000+ assets sold
16 min read
In 2022, I sold my first digital product — a Notion template — for $7. It took me 6 hours to build. I sold 120 units in 30 days. Revenue: $840. After Gumroad’s 10% fee, I netted $756. My effective hourly rate: $126. Not bad for a first product.
But I was leaving money on the table. Lots of it. Over the next 18 months, I ran 14 pricing experiments across my product catalog. I tested single prices, tiered pricing, bundles, subscriptions, and dynamic pricing. Some failed spectacularly. Others increased my revenue by 340%.
This article is my complete pricing playbook — every experiment, every result, every lesson learned. No theory. Just what I tested, what broke, and what made me more money.
Experiment 1: The Single Price Test
My first pricing experiment was simple: test the same product at different single price points and measure revenue, conversion rate, and refund rate.
Product: Photography Client Onboarding Template (Notion)
| Price | Units Sold | Revenue | Conversion Rate | Refund Rate |
|---|---|---|---|---|
| $7 | 120 | $840 | 8.2% | 5.8% |
| $12 | 98 | $1,176 | 6.7% | 4.1% |
| $19 | 71 | $1,349 | 4.9% | 2.8% |
| $29 | 52 | $1,508 | 3.6% | 1.9% |
| $39 | 38 | $1,482 | 2.6% | 1.3% |
The sweet spot for this product: $19-29. At $7, I attracted price-shoppers who refunded at 5.8%. At $39, conversion dropped too low. At $19-29, I maximized revenue per visitor while maintaining a sub-3% refund rate.
Key insight: Revenue doesn’t always increase with price. There’s an optimal point where price, conversion, and refund rate balance. For most of my products, that point is $19-39.
Experiment 2: The Tiered Pricing Model
After finding the single-price sweet spot, I tested tiered pricing — offering the same product at 3 price points with different feature sets.
Product: Lightroom Preset Collection
| Tier | Price | What’s Included | % of Sales |
|---|---|---|---|
| Basic | $19 | 10 presets, basic install guide | 45% |
| Pro | $39 | 25 presets, video walkthrough, mobile presets | 38% |
| Bundle | $79 | 50 presets, all bonuses + editing workflow course | 17% |
Average order value with single price ($29): $29.
Average order value with tiered pricing: $38.40.
Revenue increase: 32.4% — without changing the product, the marketing, or the traffic.
The psychology: tiered pricing creates a “middle option” that feels safe. Most buyers don’t want the cheapest (feels inadequate) or the most expensive (feels excessive). They want the middle — which I price at my target single-price point. The basic tier captures price-sensitive buyers. The bundle tier captures power users who want everything. The middle tier captures everyone else.
Experiment 3: The Anchor Price Effect
I tested whether showing a higher “original price” increases perceived value and conversion.
Test A (No anchor): “Lightroom Preset Pack — $29”
Test B (With anchor): “Lightroom Preset Pack — $49 $29 (40% off launch price)”
| Version | Conversion Rate | Revenue | Refund Rate |
|---|---|---|---|
| No anchor | 3.6% | $1,044 | 2.1% |
| With anchor | 4.8% | $1,392 | 3.4% |
The anchor increased conversion by 33% but also increased refunds by 62%. Why? Because the “40% off” framing attracted deal-seekers who bought on impulse and regretted it.
My conclusion: anchors work, but fake discounts backfire. I now use anchors differently. Instead of “was $49, now $29,” I use: “Comparable agencies charge $2,000 for this. My template gives you the same system for $197.” This anchors against market price, not my own fake price. Refund rate: 1.8%.
Experiment 4: The Bundle Strategy
I tested whether bundling products increases average order value more than selling individually.
Individual products:
- Client Onboarding Template: $19
- Pricing Calculator: $39
- Email Scripts Pack: $12
- Contract Template: $29
Individual total: $99
Bundle: “Complete Client Management System” — $79 (20% off individual prices)
| Metric | Individual Sales | Bundle Sales |
|---|---|---|
| Units sold | 87 (across all products) | 34 |
| Revenue | $2,613 | $2,686 |
| Avg order value | $30.03 | $79.00 |
| Time to fulfill | Variable | Same (automated) |
The bundle generated more revenue with fewer sales and the same fulfillment time. But here’s the key: I still sell the individual products. The bundle isn’t a replacement — it’s an upsell. 23% of individual buyers upgrade to the bundle within 30 days via email. Total revenue from this product line: $4,800/month.
Experiment 5: The Subscription vs. One-Time Test
I tested whether a subscription model generates more lifetime value than one-time purchases.
Product: Monthly Preset Pack (new presets delivered on the 1st of each month)
| Model | Price | Month 1 Revenue | Month 6 Revenue | LTV |
|---|---|---|---|---|
| One-time pack | $29 | $1,624 | $1,450 | $29 |
| Monthly subscription | $19/mo | $1,254 | $2,847 | $114 (6-mo avg) |
The subscription started slower but compounded. By month 6, monthly recurring revenue exceeded one-time sales. By month 12, the subscription generated 2.3x more revenue than the one-time model.
But subscriptions have a catch: churn. My monthly churn rate is 4.2% — meaning I lose 4.2% of subscribers each month. To maintain growth, I need to acquire new subscribers faster than I lose old ones. I solve this by offering an annual plan ($190/year, 2 months free) that 23% of subscribers choose. Annual subscribers have a 1.8% churn rate.
Experiment 6: The “Pay What You Want” Test
I tried a “pay what you want” model for one product, inspired by Gumroad’s feature. Results:
| Price Chosen | % of Buyers | Avg Price Paid |
|---|---|---|
| $0 (free) | 34% | $0 |
| $1-5 | 28% | $3.20 |
| $6-15 | 22% | $9.40 |
| $16+ | 16% | $24.80 |
Average price paid: $7.30. My fixed price for the same product: $19. Revenue with fixed price: 2.6x higher.
I killed the “pay what you want” model after 30 days. It attracted freebie-seekers, devalued the product, and generated less revenue than a fixed price. The only use case where this works: building an email list from a broad audience. Even then, I’d rather offer a free lead magnet and sell the product at full price.
My Current Pricing Framework
After 14 experiments, here’s the pricing system I use for every product:
Step 1: Calculate Value, Not Cost
I don’t price based on how long it took to build. I price based on the value it creates:
- Time saved: If my template saves 10 hours and the buyer’s time is worth $50/hour, value = $500
- Revenue generated: If my system helps land one $5,000 client, value = $5,000+
- Cost avoided: If my contract template prevents one legal dispute, value = $2,000+ in legal fees
I price at 5-10% of the value created. A $500 value product = $25-50 price point.
Step 2: Test 3 Price Points
For every new product, I test 3 prices with equal traffic:
- Low: 50% of my estimated optimal price
- Medium: 100% of estimated optimal price
- High: 150% of estimated optimal price
I run each for 2 weeks (or 100 visitors, whichever comes first). The price that maximizes revenue per visitor wins.
Step 3: Add Tiers for AOV
Once I find the optimal single price, I create 3 tiers:
- Basic: 60% of optimal price (entry point)
- Pro: 100% of optimal price (target — most buyers choose this)
- Premium: 200% of optimal price (power users, 15-20% of buyers)
Step 4: Bundle for LTV
After 3 months of individual sales, I create a bundle:
- Bundle price: 75% of individual total
- Promote via email to past buyers
- 23% upgrade rate is my benchmark
Step 5: Monitor and Adjust
I review pricing quarterly:
- Conversion rate dropping? Test a lower price or add more value
- Refund rate above 3%? Price may be too high for perceived value
- Sales velocity increasing? Test a 10-15% price increase
The Complete Revenue Impact
| Period | Strategy | Monthly Revenue | Change |
|---|---|---|---|
| Q1 2023 | Single price, $7-12 products | $1,200 | Baseline |
| Q2 2023 | Optimized single prices ($19-39) | $2,100 | +75% |
| Q3 2023 | Added tiered pricing | $2,780 | +32% |
| Q4 2023 | Added bundles + subscriptions | $3,950 | +42% |
| Q2 2024 | Added premium products ($197+) | $5,280 | +34% |
| Total | — | $5,280 | +340% |
Pricing isn’t a one-time decision. It’s a continuous experiment. The creators who earn the most aren’t necessarily the ones with the best products — they’re the ones who test, measure, and optimize their pricing relentlessly. Start with value-based pricing. Test multiple points. Add tiers. Create bundles. And never stop experimenting.
Related Reading Best High-Ticket Digital Products You Can Launch in 2026
The 6 high-ticket product types with the highest margins and strongest demand — including done-for-you systems, cohort courses, micro-SaaS, and certification programs.
Amina Black built her first digital product — a Notion template for freelance photographers — in 2022 while managing client shoots in São Paulo. It made $847 in month one. Three years later, she’s sold over 12,000 digital assets across Gumroad, Etsy, and her own store, and now documents the exact systems, templates, and positioning strategies that let creators monetize without paid ads. No theory. Just what broke, what worked, and what scaled.
