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Book a meeting with one of our marketing consultants and see how we can help you improve your ad spend and increase your LTV.

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Your Data.
Our AI.
+20% ROI.

Acquire the most valuable customers with our lifetime value predictions streamed directly into your Meta and Google ad campaigns. It’s that easy.
Everyone Else
You With Voyantis
“Working with Voyantis is a game changer for our marketing performance. We consider Voyantis as a partner, not as a vendor. That’s a different state of mind”
Eithan Helman
Head of Growth Marketing
“It wasn’t just easy to work with Voyantis’ signal optimization solution, it generated great results too. We saw a 21% increase in team activation rate and a 38% predicted 6-month increase in ROAS”.
Fabien David
Performance Marketing Manager
“Using this prediction model, we were able to improve the 12-month return on ad spend by 30%”.
Alessandra Sales
VP of
“Partnering with Voyantis allowed us to acquire higher-value users at a lower cost. Voyantis predictions are being used as a key decision metric in our day-to-day decision-making”.
Shai Brumer
Sr. Director, Data & Scale @

Does this sound familiar to you?

You are currently focused too much on Cost-Per-Acquisition (CPA), not future profitability. You want this to change.
Foreseeing the future seems impossible. Your data science team is (rightfully) busy building your core product and doesn't have time for ad campaign optimization.
Deciphering the black box of ad network algorithms for your performance marketing feels like a full-time job.

Voyantis can help you see the future!

We spent 3 years designing predictive LTV models and integrations for value-based bidding (VBB) ad campaigns with Meta and Google to save you time.


We are here for the long haul. We'll keep monitoring data and network models toimprove predictions for you so you don’t have to.


We deliver predictive lifetime value AI scores into Google and Meta Ad Manager andhelp you target and acquire high-value customers.


We develop customized predictive models for your unique customer journey, enabling Google and Meta to identify your ideal customers with precision.

Our secret sauce


Voyantis collects and processes anonymized zero and first-party data directly fromdata sources like Snowflake, BigQuery, or Redshift. We do not collect PII data, EVER.

Prediction model generation

Our AI learns your core business objectives and historical customer behavior topredict lifetime value, helping you acquire the most profitable audiences. Again andagain.


Your Google and Meta ad campaigns are continuously trained by Voyantis on future customer value, making sure your marketing budget is buying you the highest value customers. You can finally ditch Cost-Per-Acquisition (CPA) for Return on Ad Spend(ROAS).

Model Optimization 24/7  x  365

Voyantis constantly monitors your data and leverages observability methods so no data drifting, outages, or anomalies can negatively impact your campaigns. We continuously collaborate with Meta and Google to ensure our models adapt and evolve alongside theirs. This results in significant cost of ownership savings while achieving substantial gains.

Pre-built connectors for Seamless Integrations

Meta's logoGoogle Ads' logoTiktok's logo
Snowflake's logoGoogle Bid Query's logoAmazon REDSHIFT's logoSnowflake's logo
mixpanel's logoAmplitude's logoAppsFlyer's logo
3 years
Partnership with
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Experiments on
$217 m
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Of experience with

Unleash your campaign potential

Focus on your most valuable future customers, today.

What’s Next

Our team will contact you to schedule a call aboutyour marketing needs and goals. We'll work togetherto find a personalized solution that fits your needs.
Read a case study
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How do you calculate predictive LTV?

Building an accurate model to calculate the LTV of a specific customer is not a simple task since there are many factors that should be taken into consideration. It is recommended to factor into the model historical data customers from their first purchase and throughout their interaction with the company and to compare it to the behavior of the specific customer that requires the prediction. It is recommended to use statistical tools or machine learning models based on AI to represent these models and to test the models for accuracy using historical data.

What is LTV prediction?

LTV Prediction is a method to accurately estimate the total revenue of a customer during their interaction with a company. In order to generate an accurate prediction, a model should integrate historical data including churn, retention, and revenue and to be able to model the behavior of different customers. Once accurate models were trained and tested, they could be used for prediction of LTV of new customers/ads/campaigns, etc…

What is a customer lifetime value model?

Lifetime value (LTV) model is a statistical representation of the total value (revenue) that a customer will generate throughout their entire interaction with a company. LTV models are typically built using historical data on customer behavior, such as purchase history, engagement, and churn rates. Once an LTV model is trained and its accuracy was validated using historical data, it can be used to predict the LTV of new or existing customers.