Filipino AI startup Netopia AI said its artificial intelligence (AI) platform, Predikta, can help brands identify better-performing ads before launching campaigns.
The company released results of a backtesting study with AdSpark, showing that Predikta’s predictions matched actual campaign results, particularly in important advertising measures such as Click-Through Rate (CTR) and Cost Per Click (CPC).
The study looked at thousands of ad comparisons across different industries. It found that ads with higher Predikta scores were more likely to get better audience engagement and deliver more efficient costs. In most cases, the platform was able to identify which ad version would perform better before it was released.
Predikta works by analyzing ad copy and simulating how people may respond to it, including how they may feel, think, and act. This gives marketing teams a way to check which ads have stronger potential before spending money on actual campaigns.
Usually, brands test multiple ad versions after launch to see which one works best. Netopia AI said Predikta helps reduce guesswork by giving teams insights earlier in the process.
The study showed that Predikta performed well for Awareness and Conversion campaigns, where the quality of the ad can have a bigger impact on results. However, Netopia AI clarified that the platform is not meant to replace advertising strategies or predict exact campaign results.
Instead, it provides signals that help brands make better decisions before launching ads.
“We approached this validation with a healthy level of rigor and skepticism, which is necessary for any emerging capability of this nature,” said Manny Fernando, CEO, AdSpark. “What the backtesting demonstrated is that Predikta captures meaningful signals that align with real campaign outcomes, particularly in engagement and cost efficiency,” Fernando said.
He added that from an operational standpoint, what stands out is its ability to consistently rank creatives and improve the odds of selecting stronger-performing ads before launch.
“That is already a valuable step forward,” he said further noting that the study focused on ad copy analysis and does not replace live testing or guarantee exact campaign results.
“Instead, it provides a structured, data-informed way to make better creative decisions earlier in the process,” he said.
“We deliberately chose the harder path on this validation,” said Jason Albia, CSO and co-founder of Netopia AI. “Rather than running a curated internal test, we brought in real historical campaigns from an independent agency partner, ran the simulations blind, and subjected the results to multiple layers of rigorous statistical analysis,” Albia said. “What we can say with confidence is that Predikta’s behavioral signals align with real commercial outcomes in ways that are statistically robust and practically meaningful.”
The backtesting project was supported by 917Ventures, Brave Connective, and AdSpark as part of efforts to bring more data-based decision-making to marketing and advertising.
Netopia AI said more testing is underway for full creative formats, including images and videos, as it continues to improve Predikta’s ability to help brands choose stronger ads before launch.
