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Technology / Software

Engineering autonomous marketing asset selection and generation

Client
Demandbase
Industry
Technology / Software
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17%increase in CTR
01Client and problem

Selecting and optimizing creative assets for account-based marketing journeys was manual, slow to market and subjective.

02What CWX delivered

A dual-agent system that learns from historical CTR data and image features to suggest assets autonomously.

03What changed

In five weeks, the creative workflow went from a cost center to a high-velocity performance engine, increasing CTR by 17% and reducing consulting time by 20%.

01

Highlights

For Demandbase, a marketing platform with 1k+ global customers, CWX engineered autonomous selection and generation of creative assets for account-based marketing journeys.

02

The challenge

A marketing platform with 1k+ global customers faced a massive operational hurdle: manual selection and optimization of creative assets for complex account-based marketing journeys that was human-intensive, slow to market, and subjective.

03

The solution

CWX implemented a dual-agent system with AI-native architecture on Google Cloud to ingest historical click through rate (CTR) data and extract deep image features to predict performance, allowing autonomous asset suggestion for maximum impact.

People: product, marketing and creative consultants. Process: the marketing journey, asset selection, brand asset metadata and performance data. Technology: BigQuery and BQML, Cloud Run and Cloud Storage.

04

The implementation process

In five weeks, the deployment transformed the marketing platform’s creative workflow from a cost center to a high-velocity performance engine increasing CTR by 17% and reducing consulting time by 20%.

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