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Campaign Optimization Tool on GCP

Client

A leading US-based digital marketing agency that offers performance and brand marketing, data intelligence, SEO, and web analytics services for businesses across the globe.

Industry

Professional Services

Offering

We developed a campaign optimization tool that leverages the power of Google Cloud Platform to deliver insights into costs, conversions, and keyword relevance. Microservices-based architecture enables the application to scale rapidly and integrate seamlessly with tools and resources on the cloud. The application saves thousands of dollars in marketing spend and helps in creating effective marketing campaigns for the end customers.

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Business Requirement

The client uses traditional data analysis methods to optimize marketing campaigns for their customers. The on-premises hardware and monolithic applications used for campaign optimization were incapable of scaling at a module level. The client wanted a cloud-based solution with scalable infrastructure to improve speed and enhance their potential for business growth.

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QBurst Solution

We used Google App Engine (GAE) to design and deploy an application that utilizes resources from Google Cloud Platform and ensures scalability, reach, and personalization of marketing campaigns. The application integrates with Google Ads to aggregate search query stats and creates a database by querying large amounts of data.

Business Benefits

  • 10x faster processing speed on periodic reports to clients
  • 32% increase in conversions for ad campaigns
  • 35% savings in operational costs
  • 90% reduction in infrastructure costs with pay-as-you-go pricing from GCP services
  • Significantly reduced development cycles for new updates

Technologies

  • Python
  • ReactJS
  • Apache Beam
  • Apache Airflow
  • Task Queue
  • App Engine
  • Cloud Endpoints
  • Cloud Functions
  • Pub/Sub
  • Cloud SQL
  • Cloud Datastore
  • BigQuery
  • Cloud Storage
  • Cloud Scheduler
  • Cloud Dataflow
  • Cloud Composer
  • Cloud Run
  • Stackdriver

Business Requirement

The client uses traditional data analysis methods to optimize marketing campaigns for their customers. The on-premises hardware and monolithic applications used for campaign optimization were incapable of scaling at a module level. The client wanted a cloud-based solution with scalable infrastructure to improve speed and enhance their potential for business growth.

QBurst Solution

We used Google App Engine (GAE) to design and deploy an application that utilizes resources from Google Cloud Platform and ensures scalability, reach, and personalization of marketing campaigns. The application integrates with Google Ads to aggregate search query stats and creates a database by querying large amounts of data.

Business Benefits

  • 10x faster processing speed on periodic reports to clients
  • 32% increase in conversions for ad campaigns
  • 35% savings in operational costs
  • 90% reduction in infrastructure costs with pay-as-you-go pricing from GCP services
  • Significantly reduced development cycles for new updates

Technologies

  • Python
  • ReactJS
  • Apache Beam
  • Apache Airflow
  • Task Queue
  • App Engine
  • Cloud Endpoints
  • Cloud Functions
  • Pub/Sub
  • Cloud SQL
  • Cloud Datastore
  • BigQuery
  • Cloud Storage
  • Cloud Scheduler
  • Cloud Dataflow
  • Cloud Composer
  • Cloud Run
  • Stackdriver
Google Cloud Platform Solution

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