Voyantis predicts user-level lifetime value and sends it to Google, Meta and TikTok so campaigns bid for valuable customers. If you are weighing it up, these are the realistic alternatives, from specialist vendors to the ad platforms’ own tools and building it yourself.
Written by Churney, which is on this list. We describe the others from their public material, checked on 9 November 2026. Corrections are welcome at letstalk@churney.io.
The short list
Option
What it does
Best for
Churney
What it doesCausal predicted LTV from your warehouse, sent to Meta, Google and TikTok. Proven in a pre-agreed split test.
Best forSubscription apps, SaaS and repeat-purchase ecommerce that need proof before rollout
SegmentStream
What it doesCustom LTV models plus cross-channel attribution, geo-holdout tests and budget allocation.
Best forTeams that want bidding signals and measurement from one vendor
Angler AI
What it doesPredictive conversion signals for Meta, Google and TikTok, enriched with consumer data.
Best forShopify DTC brands
Black Crow AI
What it doesPredicted customer value sent to Meta, plus on-site personalization.
Best forShopify DTC brands focused on Meta
Pecan AI
What it doesLow-code predictive analytics. LTV is one of several use cases.
Best forAnalytics teams that want one tool for several predictions
AppsFlyer
What it doesPredictive analytics inside the MMP, built for app campaigns including SKAdNetwork.
Best forMobile apps already on AppsFlyer
Google and Meta, natively
What it doesValue-based bidding on values you send through offline conversion import and the Conversions API.
Best forTeams with their own LTV model
Build in-house
What it doesYour data team trains the model and sends the values itself.
Best forCompanies with ML staff and time
Each option in more detail
Churney
Good at
- Causal models trained on your own history, built to separate what drives value from what merely correlates with it.
- Read-only warehouse access. No SDK, no app changes.
- A four-month pilot: signal live in week 8, split test from week 9, read-out in week 17 against criteria agreed in writing before launch.
- Published results include Blinkist (+64% D8 ROAS on Meta in the US), Headway (+45% D30 ROAS) and Zapier (+190% ROAS).
Watch out for
- A smaller team than most on this list.
- The signal goes live in week 8, not on day one.
- No cross-channel attribution or budget allocation.
Full comparison: Churney vs Voyantis.
SegmentStream
Good at
- Combines LTV prediction with multi-model attribution, geo-holdout incrementality tests and weekly budget rebalancing.
- Also offers predictive lead scoring for B2B.
Watch out for
- A broader measurement engagement than a signal tool. Its own guidance points to $50K or more in monthly ad spend.
Angler AI
Good at
- Installs on Shopify and sends enriched predictive signals to Meta, Google and TikTok.
Watch out for
- Built around Shopify DTC.
- Uses third-party consumer data, which some teams need to clear with legal.
Black Crow AI
Good at
- Shopify-native, and the same predictions also drive on-site personalization and email or SMS targeting.
Watch out for
- Shopify only, with paid media centered on Meta.
Pecan AI
Good at
- Analysts can build models without data scientists. Covers churn, LTV and demand forecasting in one tool.
Watch out for
- Not built specifically for ad platform bidding. Check how predictions reach Google and Meta, and how fast.
AppsFlyer
Good at
- Lives in the MMP many app teams already use, and is designed for privacy-constrained app campaigns.
Watch out for
- Works from the data in your MMP. Apps only.
Google and Meta, natively
Good at
- No vendor. Google tROAS and Meta value optimization will bid on whatever values you send.
Watch out for
- You need your own model, calibration and testing. The platforms optimize toward the value you send, right or wrong.
Build in-house
Good at
- Full control, and a model shaped exactly to your business.
Watch out for
- In our experience it takes 6 to 12 months before an internal system is reliably net positive, and it needs constant upkeep as the platforms change.
How to choose
- Shopify DTC with most spend on Meta: start with Angler AI or Black Crow AI.
- You need pLTV bidding and cross-channel attribution together: SegmentStream.
- Subscription app, SaaS or repeat-purchase ecommerce that has to prove lift before rollout: Churney.
- A strong data science team: native platform tools or in-house, with a proper split test.
- Acquisition and lifecycle from one larger vendor: Voyantis itself may be the right answer.
FAQ
What is the best alternative to Voyantis?
It depends on the business. For Shopify DTC, Angler AI or Black Crow AI. For pLTV bidding with attribution, SegmentStream. For subscription apps, SaaS and repeat-purchase ecommerce that need a proven result before rollout, Churney.
Do I need a vendor at all?
No. Google and Meta accept your own predicted values. The work is building a model that stays calibrated, and testing that it beats your current bidding.
How should I compare vendors?
Give each shortlisted option the same test design: a split test against business as usual, a success metric agreed before launch, and a read-out on your own attribution.
See whether your data predicts long-term value
A 30-minute call. We look at your setup and tell you plainly whether pLTV is worth testing.
Book a callSources: vendor websites and public material, checked 9 November 2026; Voyantis funding announcement, Business Wire, 11 February 2025.
