PredictLeads - Dataset and Crawler Development
Services Covered:

Industry
Advertising & Marketing
Duration
4 months
Budget
10K - 49K
Start Date
1 November 2019
Team Size
1-5
Engagement Model
Offshore
Project Capability Score (PCS)
75/100
Good
Project Capability Score (PCS) estimates how capable Povio 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
PredictLeads
Project Summary
PredictLeads engaged Povio to rapidly add and launch new datasets and crawlers to their data platform to support growth and traction in the US market. Povio worked alongside the internal engineering team using Python and Rails, delivered new datasets, and communicated via email, Slack and Zoom; the client praised the team's responsiveness and quality.
Key Challenges
- Needed to launch new datasets quickly to capitalize on US momentum.
- Required an engineering team able to start working immediately and understand startup operations without compromising quality.
- Objective to track more datapoints to add value for clients and partners.
Project Deliverables
- New datasets
- Web crawlers
- Backend code (Python/Rails)
Project Solution
Povio was selected for speed and startup experience and worked with the PredictLeads team to build and add new datasets and web crawlers. They worked with the client's stack (Python and Rails), helped the internal engineering team, and later independently added new datasets and crawlers while maintaining code quality and understanding of the product.
Project Outcome
- New datasets delivered to the platform enabling targeting of more verticals and personas.
- Responsive project management and communication via email, Slack and Zoom.
Platforms
Web
API/Integration Platform
Tech Stack
Python
Ruby on Rails
Client Endorsement
Overall Review Rating
5
5 out of 5 stars
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“Thanks to the mn power provided by Povio (formerly Povio Labs), the company was able to provide new datasets within our platform. The team was responsive on multiple channels, which helped coordinate all the tasks.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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