Predictive Data Analytics to Scale Performance Marketing

ROAS dashboards on Facebook and Google are no longer enough if you can't interpret them quickly. The competitive gap is played on data optimization speed.

Machine Learning Applied to Media Buying

At E-quipe we have developed cloud infrastructures that collect multi-channel signals (Website, CRM, Adv Platforms) to create predictive models.

- **Churn Prevention:*

By analyzing navigation logs, AI identifies which audience segments are about to abandon a purchase before it even happens.

- **Dynamic Budgeting:** Algorithms automatically shift budget percentages from exhausting campaigns to emerging ad-sets in the middle of the night, ensuring a stable CPA (Cost Per Acquisition).

The Importance of Clean Data

AI is only as powerful as the data it feeds on. Before applying any automation, we ensure the tracking infrastructure (Server-Side Tracking, Conversion API) is immaculate.