EndorsedendorsedOngoing

Ad Delivery Engine Overhaul for Martindale - Avvo

Services Covered:

API DevelopmentCustom Software DevelopmentWebsite Development
Project hero — replace with case study imagery
Industry
Industry

Legal

Duration
Duration

99 months

Budget
Budget

Confidential

Client Size
Start Date

1 May 2018

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
80/100
Strong

Project Capability Score (PCS) estimates how capable Hivekind 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

Martindale - Avvo

mapSeattle, United States of America

Project Summary

Hivekind has been engaged by a lawyer search platform (Martindale - Avvo) since May 2018 to overhaul a complex ad delivery engine and to upgrade roughly 30 Ruby on Rails applications. The vendor rebuilt the ad engine to support multi-level geographic targeting, market segmentation, and weighted ad selection, delivering a low-latency, maintainable solution. The client reports timely delivery, strong communication, and high satisfaction with the provided team and outcomes.

Key Challenges

  • Rewrite a complex ad delivery platform for improved performance and functionality
  • Execute a massive technology upgrade across ~30 Ruby applications
  • Deliver multiple well-defined projects while maintaining performance and reliability

Project Deliverables

  • Rebuilt a complex ad delivery engine
  • Implemented geographic targeting across sub-county, county, and state levels
  • Supported shared and exclusive market segmentation with multiple ad templates and types
  • Implemented weighted random selection based on ad spend and impressions
  • Upgraded approximately 30 Ruby on Rails applications

Project Solution

Hivekind rebuilt a complex ad delivery engine to maximize performance and functionality, implementing multi-level geographic targeting (sub-county, county, state), market segmentation (shared and exclusive markets), multiple ad templates and types, and a weighted random selection algorithm based on ad spend and impressions. They delivered a low-latency, extendable, maintainable, and testable engine and upgraded approximately 30 Ruby on Rails applications. The engagement included providing a full team with TPM and developers.

Project Outcome

  • Timely delivery of the ad engine and upgrades
  • Strong collaboration and communication throughout the engagement
  • Client praised Hivekind's organization, flexibility, and responsiveness
  • Client benefited from Hivekind providing a full team including a TPM and experienced developers

Platforms

  • WebWeb

Tech Stack

  • Ruby on RailsRuby on Rails

Client Endorsement

Overall Review Rating

4.88star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Hivekind’s work has received positive feedback from the client. They communicate through meetings, email, and a messaging app. They offer top-notch customer service on top of their technical expertise. Overall, their organized, flexible, and collaborative approach results in a smooth partnership.

Tony Jones

Executive Director Engineering

Note: This endorsement is based on publicly available client feedback from external review sources.

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