Watch Your ROAS Soar: Why Leading Brands Are Hooked on Voyantis & Alison.ai

In the fast-paced digital world, marketers are under constant pressure to prove the value of their advertising campaigns. Traditionally, success has been measured using upper-funnel metrics like clicks, impressions, and even conversions. However, these “vanity metrics” don’t paint the full picture of a campaign’s true impact. Sure, a click may lead to a purchase, but will that customer remain loyal and generate repeat business over the long run? Investors and boards are looking for profitability.

Unlocking Customer Lifetime Value with AI

To truly unlock growth, marketers need to shift their focus from one-time transactions to activities like repeat purchases, upgrades, subscription renewals, and add-ons—key drivers of customer lifetime value (LTV). LTV represents the total profit a customer is expected to generate throughout their relationship with a business.

Here’s the thing. Providing LTV predictions to your ad network partner can supercharge your campaign optimization, when using value-based strategies, enabling their algorithms to target and acquire more high-value customers effectively. Predicting LTV requires analyzing countless data points across a potentially lengthy customer journey. This is where artificial intelligence can help.

The Black Box of Ad Network Algorithms 

But there’s more to this than simply creating predictive LTV. The ad network algorithms are a “Black Box”. You also need to know how to effectively send these predictions to your ad network partner to influence their AI and drive smarter campaign optimization.

Voyantis has cracked the ad network algorithm “Black Box”. While they use machine learning to build custom models from CRM and marketing platform data to predict each user’s future LTV, their real advantage lies in understanding how to communicate these insights to the ad networks’ AI. By effectively sending predictive signals, at the right time, and the right format, Voyantis influences the algorithms directly, ensuring campaigns are automatically optimized for acquiring high-value customers with maximum efficiency. This deep understanding of how to “talk” to the ad networks’ AI is what sets them apart.

Now marketers can optimize ad spending across channels, and help Google, Meta or TikTok optimize their campaigns towards acquiring loyal, profitable customers rather than cheap clicks. Voyantis customers often see a double-digit increase in ARPPU (Average Revenue Per Paying User), coupled by a drop in CAC (Customer Acquisition Cost), translating to a ROAS boost of 20% or more, really showcasing the value of smart growth marketing.

The Black Box of Creative Optimization 

The next “black box” to crack is that of the ultimate creative. Identifying high-value users is crucial, but equally important is delivering the right message and creatives to them in a scalable way across the multitude of platforms available for marketers these days. This ensures you’re not only reaching valuable customers, but engaging them effectively.

Alison.ai leverages AI and deep learning to crack the “creative black box”. By analyzing thousands of video creatives across industries, Alison identifies elements like music, visual motifs, and messaging that elicit specific behavioral responses from different customer segments.

Armed with these creative insights, marketers gain an unprecedented ability to precisely target customized videos. For example, including mountains in an outdoor apparel ad may boost engagement among ski enthusiasts but do little for other groups. Alison’s AI helps surface these subtle patterns that can be easily missed with human analysis alone. Sharing this structured creative performance data with partners like Voyantis can refine LTV predictions even further.

Leveraging Alison’s data in Voyantis’ predictive models allows to recognize how specific creative strategies correlate with an increase in LTV for targeted segments. Voyantis can generate optimized user scoring and suggestions to the ad platforms. Marketers can then benefit from coupling these platforms to efficiently deliver the most engaging and LTV-boosting video experiences at scale to high-value customers.

The Power of Two Platforms Together

To continuously optimize targeting and creative strategy, success must be measured more meaningfully than clicks or shallow engagement metrics. Alison.ai leverages advanced techniques to automatically analyze data. It can track not only the performance of aspects like graphics, music, copy changes and other creative elements, but also how viewers engage with video ads on a second-by-second basis. This includes metrics like watch time, drop-off rates, and interaction with different types of calls-to-action throughout the video.

This enriched analysis surfaces the specific elements and moments that influence engagement behaviors and translates fleeting impressions into long-term loyalty by identifying the combinations that maximize outcomes. This highlights the creative strategies that consistently drive peak engagement when used in videos targeting particular segments. Voyantis ingests and analyzes these nuanced behavioral insights to recognize changing patterns in viewers’ LTV over time.

Through this collaborative analysis, these two AI models can develop a foresighted, real-time understanding of how different experiences impact customers’ lifetime profitability. They work together to optimize the full funnel—from maximizing users’ initial engagement with video ads to maximizing their lifetime value as profitable customers.

Conclusion

In today’s data-driven marketing landscape, artificial intelligence is empowering businesses to see beyond surface numbers to customers’ lifetime potential. Partnerships like Voyantis and Alison.ai are pioneering a revolutionary approach that leverages the full power of AI across the entire customer journey.

By applying machine learning to target, measure and optimize at both micro and macro levels, these platforms unlock unprecedented abilities to consistently attract high-value audiences and maximize long-term returns on ad investments. As data sources and algorithms continue to advance collaborative efforts, marketers can achieve levels of marketing success that were previously unimaginable.