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How Aiphrodite.ai Went from MVP to a Fast-Growing AdTech Startup in Just a Year
Hey Ground Zero fam! đ
Today, weâre bringing you the startup story of
Founders: Abhivyakti Ahuja, Will Song, Thomson Yen
Company: aiphrodite.ai, an AdTech that uses AI to predict which ad creatives, product imagery, and packaging will convert best.
Location: Toronto
Founded in 2023
You will learn: Founders journeyâs key stepsâfrom idea to scalingâ with key insights on customer discovery, rapid iteration, and scaling their startup.
From UofT Dorms to AdTech Startup
These foundersâ journey started in the dorms at the University of Toronto 7 years ago. They shared an unspoken desire to start a company, though they had no clue what it would be at the time.
Until about a year ago, Abhivyakti, Will & Thomson were still in the idea phase. Initially, they experimented with the idea of an influencer content prediction tool. They thought they could help influencers predict which content would go viral or perform best on social media. However, through countless conversations, they kept hearing the same thing from everyone: âmarketers could use such insights for their adsâ
Thatâs when they realized their real opportunity: brands were spending too much time and money A/B testing creative (ads, images, product packaging) with low accuracy (less than 20% significant results) and unreliable results.
Their solution - AI solution to predict which ad creatives will convert best and leverage data-driven insights to helps marketers skip the guesswork and get real insights into which visuals will drive performance.
đ§ Key Insights:
Start with broad conversations and let the market âspeakâ. For them, it was influencers and marketers. Over time, they realized marketers had the bigger, more pressing pain point.
Listen closelyâyour customers will tell you where the real opportunities lie & Donât be afraid to pivot when a bigger problem reveals itself.
Early 2023 - Discovering the Real Problem đ
In the early days, they spent a lot of time in customer discovery. It wasnât just about identifying any pain point. A big lesson they learned was that not all pain points are worth solving. Some problems are frustrating but donât warrant a solution.
đđŒ Pro Tip - When identifying pain points in customer discovery, focus on those that have ROI-increasing potential because directly affect a companyâs bottom line. |
For example, brands were wasting time on A/B testing ads, hoping to find the best performer. But this process was slow and inaccurate. aiphrodite.ai realized that by solving this specific problemâproviding data-driven creative insightsâthey could increase ROI for their clients.
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