revenue generated
ROI
total investment
π§βπ§βπ§βπ§ Team: 8 people
πΈ Total Investment: $88,724
π° Revenue Generated: $250,700
π ROI: 285%
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π§π»βπ» Digital marketplace offering curated Lottie animations, vectors, and illustrations
οΌPricing: Free tier, monthly subscriptions ($19-$29), and opportunity for lifetime deals ($99-$299)
π§βπ§βπ§ Target Audience**:** Freelance designers, startup founders, content creators, and design agencies
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π°Generate immediate revenue through lifetime deal sales
π§π»βπ»Build a sustainable customer base for future expansions
πCreate predictable revenue models for scaling
β CTA: Grab my revenue prediction modeling
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Build everything before you spend a dollar on ads. Most companies skip this step. That's why most of them fail. We decided to organize this project into three main phases.
The foundation of success was built during the preparation phase, where every element was meticulously planned and tested before officially launching lifetime deal. This phase took 6-8 weeks and involved the 8-person team working across technical infrastructure, pricing and offering, funnel development, unit economics and revenue modeling, PPC strategy and creative development.
A controlled release to early adopters and warm audiences allowed for real world testing and optimization before full scale deployment. In soft launch the goal wasn't revenue, it was learning, testing and technical validation.
The main revenue generation phase, characterized by more aggressive scaling and continuous optimization based on performance data. We weren't experimenting anymore, we were executing proven strategies from the soft launch.
β CTA: Grab my Β revenue prediction modeling
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We ran a lot of internal meetings, surveyed existing customers, and stress tested different pricing models before landing on our tiered structure. For lifetime deal campaigns pricing isn't just about what sounds fair. It's about what converts immediately and what drives long-term value. After analyzing customer feedback patterns and competitive benchmarks, we built a tier system designed to maximize both initial conversions and lifetime revenue potential. The payoff came later, customers who started at mid-tier showed 2.3x higher upgrade rates within 90 days.
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π‘The pattern I see repeatedly, put a high anchor price $299 and your middle tier $99 becomes the smart choice.
*45% of buyers picked Pro Plus with average order value of $112
Key growth patterns
π Result: Average order value of $112 with 25% of customers selecting higher tiers.
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Know your numbers before you spend a single $ on paid ads, this is the one of main characteristics of successful customer acquisition campaigns. Iβve built a complete revenue model that mapped out customer acquisition costs, projected conversion rates, CAC, and lifetime value scenarios across different channels. We ran sensitivity analysis on key variables, what happens if conversion rate drops from 2,2% to 1,6%? What if CAC increases 30%? This modeling work proved we had a viable path to profitability and gave us clear guardrails for budget allocation. The data showed us exactly where to invest aggressively and where to stay conservative.
Iβve built two prediction models (optimistic and conservative) analyzing:
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Organic Traffic: 24,170 visits β 1.6% -2.8% conversion rate β 387-704 customers
Paid Traffic: 10,000-24,000 visits β 3.2% - 4.1% conversion rate β 320-900 customers
Projected Revenue: $267,248 total ($112,675 organic + $126,615 paid)
Profit Margin: 66% after ad spend
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Organic Traffic: 24,000 visits β 2.0% conversion β 480 customers
Paid Traffic: 10,000-24,000 visits β 1.7-2.7% conversion β 170-648 customers
Projected Revenue: $191,268 total
Profit Margin: 65% after ad spend
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π° Revenue Generated: $250,700
Profit margin - 65% after ad spend
Blended CAC - $35 (target was $40)
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Ads Budget Allocation Based on Unit Economics Modeling
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Important note: When your unit economics add up, thatβs a strong signal youβre on the right path to success. As you can see in the example above, after modeling both scenarios, the profit margin came out essentially the same. That was the clear evidence that regardless of which path plays out, the campaign remains profitable.
β CTA: Grab my Β revenue prediction modeling
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Our ultimate goal was to design a conversion funnel that maximizes both immediate purchases and long term customer value (mainly upsells in the app and via emails). I started with mapping current entire funnel Β - sign up process, purchase flow, hooks and behavioral triggers in the app, calculating current funnel performance sign up conversion rate, purchase conversion rates, etc. Once I gain a clear understanding of the current performance for lifetime deal campaign, we rebuilt the funnel with a streamlined checkout, strong social proof (testimonials, live purchase notifications, trust badges), clear risk reversal (money-back guarantee, satisfaction promise), and smart scarcity (limited slots, countdown timers).
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Lifetime deal funnel performance
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Landing Page Optimization (1.8% β 3.1% conversion rate)
Checkout Optimization
A/B Testing
π Results: Checkout conversion jumped from 12% to 31%, and 40% of lifetime deal buyers upgraded within their first month.
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Marketing automation actually makes the money. First 48 hours drive 60% of sales. After around 20 days, conversion drops dramatically. That was the clear sign we need to adjust our top of the funnel strategy and have more people in email lists. At that point we reintroduced a free plan alongside the lifetime deal to capture more users and email addresses. Then we built segmented automation flows for free users, conversion sequences for trial users, upsell sequences for lifetime deal buyers, and re-engagement sequences for inactive accounts. Each segment got tailored messaging based on their behavior and stage. The automation infrastructure ran 24/7, moving users through the funnel while we focused on acquisition.
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Funnel drop off and recovery
Post purchase experience
Multi-channel coordination
βοΈ Technology Stack
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Landing page is very important to really convert created demand into the customers. Our goal was simple - create a high-converting landing page that communicates value while showcasing strong social proof of current customers, explain the clear benefits of purchasing lifetime deal.
HERO section
Social Proofs
Comparison
Objection Handling
Multiple CTAs
Results: Initial conversion rate 1.8% VS 3.3% after optimizations
My tip. All of the content you create plan to showcase on the landing page, always plan ahead A/B testings experiments. Make sure you have all tracking in place - heatmaps installed, conversion events configured, pixel tracking verified across Meta and Google. You can't optimize what you can't measure.
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Build and scale profitable paid acquisition channels while maintaining positive ROI. We spent one month on research and prospecting before spending any budget on paid ads. Meta became our primary channel, Google Ads secondary. Meta won because our ICP lived there, our research proved it across demographics, behavior, and engagement patterns. Meta played important role in our customer acquisition and whole strategy required around 50 ad creatives (static images, videos, carousels) to feed Meta's algorithm and prevent creative fatigue across different audience segments. We used LeadEnforce to scrape relevant Facebook group members and page followers, then built custom and lookalike audiences from our existing user base.
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We tested each layer, identified winners, scaled what worked, and paused underperformers to optimize spend. Final conversion data came back within 72 hours, we knew which audiences to push and which to pause.
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TOFU Β - All website visitors, video viewers, ad engagersMOFU - Landing page visitors, button clickers, form startersBOFU - Β Checkout abandoners, signup drop-offs, email list segments
Each audience segment got different creative and messaging. The segmentation meant we weren't wasting budget showing checkout recovery ads to cold traffic or awareness content to people already in our signup flow.
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π§π»βπ»Lifetime deal buyers: 2,055
π Average order value: $112
π΅ Blanded CAC: $35
π§βπ§βπ§βπ§ Best customer segments:
π°Revenue Breakdown
π°Total Revenue Generated: $250,700 with 285% in ROI
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The success of this lifetime deal launch demonstrates that with proper planning, data-driven decision making, and systematic execution, it's possible to generate significant revenue while building a sustainable customer base. The three phase approach consisting of detailed preparation, well planned soft launch, and full launch with right optimization tactics provided the framework for controlled scaling and continuous improvement.
The key differentiator wasn't just the lifetime deal itself, but the comprehensive ecosystem built around it: from predictive modeling and funnel optimization to multi-channel marketing and sophisticated automation. This holistic approach not only drove immediate revenue but created a foundation for long-term growth through upsells, expansions, and customer advocacy.
Follow this framework. Do the math upfront. Build the infrastructure before launching. Test with small budgets before scaling. Most importantly, plan for life after the lifetime deal.
Want to launch a successfully your SaaS or marketplace?
Let's discuss how strategic planning and execution can drive similar results for your business.
During our meeting, weβll dive into my GTMΒ framework and explore actionable strategies tailored to your business. Whether you're just getting started or already investing hundreds of thousands in marketing - just pick a date on the calendar, and Iβll personally follow up with the next steps.
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