endorsedOngoing

Marketing Data Platform Development

Services Covered:

Custom Software Development

Industry

Advertising & Marketing

Duration

79 months

Budget

50K - 199K

Start Date

1 January 2020

Team Size

6-10 Employees

Engagement Model

Nearshore

Project Capability Score (PCS)

79/100

Good

Project Capability Score (PCS) estimates how capable Go Wombat is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

GlobalDataResources

Copenhagen, Denmark

Project Summary

A marketing data platform engaged Go Wombat to build a client-facing, Python-based marketing data platform and analytics backend. The vendor built the complete backend and analytical structure, deployed components on AWS, and connected the product to Google, Facebook, and Adform. Internal stakeholders are very pleased with the team's development skills and the engagement has turned into an ongoing collaboration. The client (GlobalDataResources) focuses on privacy-preserving online targeting by geography rather than individual IDs.

Key Challenges

Need for a self-service tool enabling users to customize audiences and products
Requirement to combine multiple data sources and execute targeted campaigns
Need to evaluate campaign results with clear graphical illustrations
Necessity to connect the platform to major external advertising platforms

Project Deliverables

Backend and analytical structure
APIs for integrations and frontend connectivity
Integrations with Google, Facebook, and Adform
Python-based platform deployed on AWS
Frontend components

Project Solution

Go Wombat built the complete backend and analytical structure for a client-facing marketing data platform. They implemented a Python-based solution run on AWS, created APIs to connect the backend and external systems to the frontend, and integrated the platform with Google, Facebook, and Adform. They also coordinated an external designer the client provided and maintained project management processes including daily updates and Slack communication.

Project Outcome

Backend and database structures were implemented and tuned to handle millions of calculations
The computational framework suggested and implemented by Go Wombat works well and delivers a seamless user experience
APIs and integrations to external platforms were successfully implemented
Project management processes (daily updates, Slack) supported fast issue resolution and ongoing collaboration

Platforms

Cloud
Web

Tech Stack

Python
Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

4.88

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Internal stakeholders are extremely pleased with Go Wombat's skills, which not only led to the successful completion of the platform, but to an ongoing collaboration. The team is thoughtful, creative, and organized, and their development skills are unmatched.”
Ulrik Larsen
CDO
Date: 07/20/2020