Voyantis

Our Quick Take

Voyantis is a predictive growth platform that turns first-party data into value-based signals for ad networks and lifecycle tools. If you want campaigns to optimize toward high-LTV customers instead of short-term events, Voyantis is a strong fit for both acquisition and retention.

What It Is

An AI platform that predicts user-level outcomes like LTV, churn, and reorder probability, then sends those signals to channels and tools you already use so budgets, bids, and messages align to long-term value.

What Makes It Stand Out

• Value-based optimization for paid media – push predictive signals to Google, Meta, and TikTok so algorithms hunt higher-value users.
• Early predictive signals update quickly after first engagement, improving learning and scaling efficiency.
• Lifecycle impact – predictions can power campaigns in engagement platforms to retain and expand the right customers.
• Practical playbooks for predictive LTV modeling and activation across channels.

Key Features

• Predictive Scoring: LTV, churn risk, likelihood to purchase or reorder.
• Signal Export: Send predictions to ad networks for bidding and budget optimization.
• Activation: Use value-based segments in lifecycle tools for winback, upsell, and retention.
• BI Foresight: Bring predictions into your BI to forecast revenue and plan spend.
• Case Studies: Documented lifts from value-based campaigns and lifecycle use cases.

Best Fit

DTC brands, subscription apps, and marketplaces that need paid channels to optimize beyond 7-day events and want lifecycle teams focused on the highest-value users.

Pricing Snapshot

Note: Public pricing isn’t listed; tiers here follow our template to set expectations.

• Creator: Pilot scope to validate predictive signals and channel fit.
• Pro: Expanded predictors and channels with ongoing optimization.
• Business: Full-stack activation across paid media and lifecycle with BI forecasting.

Integrations to Know

• Ad Platforms: Google Ads, Meta via CAPI, TikTok.
• MMPs: AppsFlyer for app attribution workflows.
• Lifecycle/CRM: Braze for value-based lifecycle actions.
• BI: Predictions available to embed in your BI for planning and forecasting.

Setup Tips

1. Define your north-star value metric (pLTV at D30/D90, subscription start, or repeat order) before model activation.
2. Pipe predictions to Google and Meta to shift bidding from signups to high-value users.
3. Mirror those segments in your ESP/CRM to prioritize onboarding, winback, and upsell for high-potential cohorts.
4. Track lift vs control in both paid media and lifecycle to prove incremental value.

Good Alternatives

• Black Crow AI – predictive audiences for DTC.
• Pecan AI – marketer-friendly predictive modeling.
• Blueshift – cross-channel orchestration with predictive scoring.