Shot AI, a ground-breaking software that uses artificial intelligence (AI) to produce original avatars and graphics, faced a critical moment a year ago. Although there was no denying its promise to encourage creative inquiry, user acquisition and monetization created serious challenges. We set out on an exciting path to overcome these obstacles, tirelessly perfecting the user experience and putting in place a data-driven growth strategy.

Phase 1: Refining the Foundation (Months 1-2)

At first, we concentrated on improving the paywall's efficacy and expediting the onboarding procedure. We identified and resolved friction spots by carefully examining user behavior and feedback, creating a clear, succinct, and captivating onboarding process. This resulted in an astounding 32% increase in conversion rate within the first three months, when combined with tailored information distribution that highlighted Shot AI's value proposition.

Phase 2: Perfecting the Paywall (Months 1-3)

After seeing how important the paywall was to generating income, we started a thorough optimization procedure. Using a data-driven trial approach, we evaluated different paywall package structures, such as weekly, monthly, annual, and lifetime subscriptions. This thorough approach, which lasted three months, produced priceless insights and finally helped us choose the best paywall structure to maximize user satisfaction and conversion potential.

Phase 3: User Acquisition and Strategic Growth (Months 1-6)

After establishing a strong base through paywall optimization and onboarding, we were prepared to take Shot AI to new heights. We started a thorough user-acquisition effort using a range of platforms:

• Apple Search Ads & Google Search Ads: Targeted advertising made sure Shot AI found people who were actively looking for innovative AI-powered solutions.

• Meta Ads: We were able to efficiently increase our reach by targeting consumers based on their demographics, hobbies, and online behavior thanks to this robust platform.

• Tiktok Ads:Taking note of Tiktok's increasing popularity, especially with younger audiences, we carefully exhibited Shot AI's features to draw in new users.
  
  
  

• Months 2-4: We started a test phase with a $2,000 monthly regulated ad budget. This made it possible for us to ensure a sustainable financial strategy while closely observing and evaluating the performance of several platforms (Apple Search Ads, Google Search Ads, Meta Ads, and TikTok Ads). We were able to pinpoint the most promising platforms and improve our targeting tactics in light of user behavior and campaign outcomes thanks to this careful approach.

• Months 4-6: We upped the monthly ad budget to $5,000 after seeing encouraging results from the test phase, especially the upward trend in conversion rates that matched our paywall and onboarding enhancements. We were able to increase user acquisition, improve campaign performance across platforms, and reach a larger audience thanks to our calculated investment.

• Ad Creatives Design (2-6 ): Additionally, we included ad creative design services in our plan. First, we produced a variety of ad creatives and ran A/B tests on them on different platforms. We were able to determine the most successful ad creatives and drastically cut ad expenses with this data-driven strategy, resulting in a 50% drop in cost-per-install (CPI).

Results:

• 32% higher conversion rate in the first three months as a result of paywall optimization and onboarding.

• Using a data-driven trial approach, the optimal paywall structure was found, optimizing user happiness and conversion potential.

• Using a planned advertising budget that started at $2,000 and increased to $5,000 per month, together with cost savings via A/B testing of ad creatives and a 50% drop in CPI, we were able to achieve an astounding 3.5x gain in revenue in just six months.

The success of Shot AI serves as an excellent example of the value of data-driven optimization, a methodical but strategic approach to user acquisition, and the necessity of continual performance analysis-based modification. Through meticulous observation of the results of our work, we were able to fine-tune our approach and accomplish outstanding progress for Shot AI. We are dedicated to using data and strategic insights as the app develops to further advance Shot AI and establish it as a frontrunner in the AI-driven creative space.