← Cases
AustraliaTechnology and telecom2025 – ongoing

Carsales

Purchase-intent prediction and audience segmentation

Carsales reported 23% higher push-notification engagement after AI-based audience targeting

WorkingCompany's own claim

Problem

Carsales needed to distinguish visitors researching vehicles from those approaching a purchase. Its existing behavioural data needed to inform marketing timing.

Approach

The mediahouse team used Adobe Customer AI within Adobe Real-Time CDP to predict purchase intent and refine audience segments. It connected those segments to marketing messages using behavioural signals already consolidated in its customer-data platform.

Results

23%increase in push-notification engagement reported by CarsalesCompany's own claim[1]
20%improvement in identifying purchase intent reported by CarsalesCompany's own claim[1]

Takeaway

The reported engagement improvement followed the connection of buying-stage predictions to marketing messages. Carsales did not disclose the measurement method or comparison period.

Categories

Business function
Marketing and sales
Innovation type
Process innovation
Evidence
Company's own claim

Sources

Source summaries

[1]Mediaweek14 Jul 2025

Mediaweek interviewed Carsales executive Stephen Kyefulumya about Adobe Customer AI. Carsales reported better purchase-intent identification and higher push-notification engagement after using behavioural predictions in its marketing.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
Open case page ↗