Voyantis
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About
Voyantis is an AI-driven growth platform designed to help marketing and growth teams shift their focus from short-term metrics like Cost-Per-Action (CPA) to long-term profitability. By leveraging predictive artificial intelligence, the platform analyzes non-PII engagement, device, and declarative data to forecast the Lifetime Value (LTV) of a user from their very first interaction. This allows businesses to move beyond the limitations of standard ad network data, which often lacks post-conversion insights, and instead build strategies around the actual future value each customer brings to the brand. The predictive engine provides the missing link between initial clicks and long-term business health. The core functionality of the tool revolves around its ability to generate high-impact signals that are fed back into major advertising networks such as Google, Meta, and TikTok. This process enables Value-Based Bidding (VBB) and target ROAS (tROAS) campaigns, ensuring that marketing budgets are automatically allocated toward acquiring users with the highest predicted value. Beyond simple acquisition, Voyantis extends its predictive capabilities across the entire customer lifecycle, offering solutions for user activation, identifying upsell opportunities, and preventing churn by flagging at-risk customers before they leave. This creates a closed loop where data from every stage of the funnel informs future spend. Voyantis is particularly well-suited for high-growth industries like SaaS, Fintech, Consumer Apps, and DTC Retail. It is built for teams that manage significant ad spend and need to navigate the "black box" of modern ad platform algorithms. By providing a bridge between first-party CRM data and external ad platforms, it empowers growth leaders to execute complex business strategies with data-backed confidence rather than guesswork. The platform's ability to sync with engagement tools like Braze also makes it a powerful asset for lifecycle marketers looking to automate personalized user journeys based on predicted customer potential. What distinguishes Voyantis from standard analytics tools is its prescriptive nature; it doesn't just report on what happened, but actively prescribes actions to ad networks and engagement partners. While many platforms offer retrospective LTV calculations, Voyantis focuses on "Day 1" predictions, allowing for real-time optimization of marketing spend. This proactive approach helps brands increase their Return on Ad Spend (ROAS) and Annual Recurring Revenue (ARR) while simultaneously lowering Customer Acquisition Costs (CAC) by avoiding wasted spend on low-value, one-time buyers.
Pros & Cons
Predicts lifetime value from the very first day of user interaction.
Integrates directly with major ad networks for automated bidding optimization.
Supports full lifecycle optimization from acquisition to retention and upsells.
Uses non-PII data to maintain privacy compliance while delivering insights.
Proven track record with major brands like Miro, SEMrush, and Rappi.
No self-service pricing available as it requires a consultation.
Implementation likely requires significant historical data for accurate modeling.
Focused primarily on high-spend enterprise and mid-market growth teams.
Capabilities are limited to supported ad and engagement platforms like Braze.
Use Cases
Growth marketing teams can switch from Cost-Per-Action to target ROAS bidding by sending predictive LTV signals to Google and Meta.
SaaS product managers can identify high-potential trial users early and automate personalized upgrade offers through engagement platforms.
Retention specialists can predict churn risk among existing customers and trigger proactive engagement campaigns to save high-value accounts.
Fintech marketers can optimize for users most likely to reach specific transaction milestones rather than just initial app installs.
DTC brands can identify and focus acquisition spend on customers predicted to become repeat buyers rather than one-time discount seekers.
Platform
Task
Features
• churn prevention
• user segmentation
• first-party data integration
• lifecycle automation syncing
• upsell optimization
• multi-channel signaling (google, meta, tiktok)
• value-based bidding integration
• predictive ltv modeling
FAQs
How does Voyantis predict LTV so early in the user journey?
The platform uses AI to analyze a combination of non-PII engagement data, device signals, and declarative spend data from the very first day. By comparing these early signals against historical patterns, it can accurately forecast the long-term value of a new user.
Which advertising platforms does Voyantis integrate with?
Voyantis currently supports signaling and optimization for major channels including Google (Search, Display, and App campaigns), Meta (Facebook and Instagram), and TikTok. This allows teams to harmonize their value-based bidding strategies across the entire social and search ecosystem.
Can Voyantis help with customer retention?
Yes, the platform includes specific features for churn prevention and upsells. It uses predictive modeling to identify users who are likely to stop using a service or those who have a high probability of upgrading to a premium plan.
Does Voyantis require personal identifiable information (PII) to work?
No, the platform is designed with privacy in mind and leverages non-PII engagement data and device signals. This ensures compliance with modern privacy standards while still providing the deep insights needed for effective marketing optimization.
How do I get started with Voyantis?
Since the platform is tailored to specific business needs and data environments, the primary way to get started is by booking a consultation through their website. Their experts will evaluate your current growth strategy and demonstrate how predictive AI can enhance your specific goals.
Pricing Plans
Custom
Unknown Price• Predictive LTV modeling
• Google Ads integration
• Meta Ads integration
• TikTok Ads integration
• Churn prevention signals
• Upsell optimization
• User activation strategies
• Value-based segmentation
• Expert consultation
• First-party data syncing
Job Opportunities
Office Manager & Global People Experience
Boost ROAS and acquire high-value users using predictive AI to transform customer data into actionable signals for Google, Meta, and TikTok ad campaigns.
Benefits:
Employee wellbeing and experience initiatives
Company events
Happy hours
Gifts
SWAG
Experience Requirements:
2+ years of proven experience as an Office Manager
Hands-on involvement in employee experience and wellbeing
Global experience supporting employees or initiatives across multiple locations
Other Requirements:
Fluent English (written and verbal)
Strong organizational and multitasking skills
High service orientation
Excellent interpersonal and communication skills
Ability to work independently
Responsibilities:
Serve as the face of the office by welcoming visitors
Oversee day-to-day office operations
Manage employee welfare and wellbeing initiatives
Lead and support global employee experience activities
Manage the CEO’s calendar
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