AI Prediction Platform

Upload your data. Define your goal. Get predictions instantly.

GetMetriq removes the complexity of predictive analytics for e-commerce teams. Build churn and customer lifetime predictions without manual modeling or a dedicated data science team.

Minutes

Time to first prediction

0 lines

Code required

Any structured CSV

Supported datasets

Fastest path to business-ready predictions

Built for data analysts, BI teams, sales, marketing, and operations.

No fixed schema required: works with any structured dataset.

Auto-selects strong features and supports dynamic hyperparameter search.

Tracks model quality with Accuracy, F-score, and MAPE in one workflow.

Why teams choose GetMetriq

A modern no-code prediction experience designed to shorten time-to-insight and increase decision confidence.

Data-Agnostic Engine

Bring your own dataset format. GetMetriq adapts automatically without hard-coded schema constraints.

Automated Feature Selection

The platform finds the most impactful variables and removes noise so teams focus on decisions, not feature engineering.

Prediction-First Workflow

Upload data, select your target metric, and launch training in a streamlined no-code flow built for business teams.

Model Governance Ready

Track experiments, compare key metrics, and operationalize winning models for churn and CLT decisions.

From raw data to decisions in 4 steps

No manual pipelines. No model tuning burden. Just a reliable decision workflow for business teams.

Step 1

Upload

Securely upload train and optional test datasets.

Step 2

Define Goal

Choose your target and configure search strategy.

Step 3

Train & Predict

Run the best-fit model and monitor training status live.

Step 4

Act on Insights

Use accuracy, F-score, and MAPE outputs to drive retention and revenue actions.

Purpose-built for churn and CLT prediction

Support both classification and regression scenarios in one platform, and pick the best approach for each business objective.

SVM
LightGBM
CNN
Random Forest
ELM
DNN

Core outcomes for e-commerce teams

- Prioritize customers with highest churn risk before revenue loss occurs.

- Estimate customer lifetime potential to optimize retention spend.

- Run continuous learning cycles and keep models current with new data.

- Turn ML output into actions for sales, marketing, and customer success.

Ready to launch your first model?

Join teams building faster, clearer, and more reliable forecasting workflows.