Do I need "Big Data" for this?

Not necessarily. If you have tens of thousands of records, there's usually enough signal for a meaningful model. You don't need billions of rows to start predicting churn or LTV.

Can we feed these results back into Meta?

Yes. We can push your model's predictions (like high-propensity lists) directly to your ad platforms to improve targeting accuracy.

AI & ML

Predict the outcome. Lead the market.

Move beyond historical reporting. We deploy custom machine learning models that identify your highest-value opportunities before they manifest.

Lift in conversion

Book a Free Discovery Call See how it works ↓

Sound familiar?

Rearview Analytics

You only know what happened yesterday, not what will happen tomorrow.

Wasted Ad Spend

Targeting broad audiences instead of high-propensity buyers.

Churn Surprises

Valuable customers leave without warning.

How DataVines handles it

Churn Prediction

We identify customers likely to leave before they do.

LTV Forecasting

Predicting the lifetime value of a customer on day 1.

Propensity Modeling

Identifying which leads are mathematically most likely to close.

Generative AI Workflows

Integrating LLMs to automate qualitative data analysis.

Model deployment

Week 1

Data Readiness Check

Is your data clean enought for ML? We verify first.

Weeks 2-3

Feature Engineering

Creating the mathematical inputs needed for accurate models.

Weeks 4-5

Model Training

Testing multiple algorithms to find the highest accuracy.

Week 6

Operationalization

Connecting model outputs directly to your marketing platforms.

What you receive

Custom Trained ML Models
Automated Scoring Pipelines
Integration with CRMs/Ad Platforms
Model Accuracy Dashboards

Powered by best-in-class infrastructure

We utilize the most robust and modern data stack available, integrating seamlessly into your existing environment.

Python

Built for intelligence

Prediction Accuracy

"Our account managers got 20% of their week back. Instead of building the reports, they actually have time to analyze the reports and strategize with the clients."

Chloe Bennett

VP Marketing, E-Commerce Brand

Frequently Asked Questions

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DATA ENGINEERING

Resilient data infrastructure doesn’t happen by accident. We build the pipelines that handle your scaling pains so you can focus on the insights.

Ready to predict your revenue?

Book a discovery call to explore ML use cases.

Book a Free Discovery Call