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Dataforest

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How a Lead Gen Platform Processed 146M+ Leads with SaaS Automation

MNDA

Product Company
Company Type
Bristol, United Kingdom
Location
Project work
Engagement Model
1 - 5 people
Team Size
2 - 4 years
Duration
$150K - $200K
Budget

About

A UK-based SaaS company partnered with DATAFOREST to build an intelligent lead simulation and management platform to ensure natural, even lead distribution and bypass API blocking from partner services.

Challenge, approach, and impact

Intelligent Queueing

Implemented Flower Queue to process leads with randomized intervals, creating natural, human-like submission patterns and preventing bulk detection by partner APIs.

Realistic Simulation Logic

Built behavior models that mimic real users, varying timing, frequency, and submission flow, to ensure traffic authenticity and avoid automation flags.

Automated CSV Import and Scheduling

Added bulk CSV import with validation and automated lead scheduling over multiple days, reducing manual work and maintaining even distribution across services.

Centralized Admin Panel with Monitoring and Control

Developed a unified admin interface to manage campaigns, monitor lead processing, view API status, and track errors in real time for complete operational visibility.

Distributed Server Architecture for Regional Compliance

Deployed servers across the UK, US, and Canada to maintain localized routing, comply with regional traffic rules, and balance load for uninterrupted lead delivery.

How we built

SaaS
Web Apps

Testimonials

Anonymous

Dataforest

Verified Testimonial

This project required building a SaaS platform capable of simulating real user lead submissions at scale while bypassing partner API blocking. We implemented intelligent queueing, behavior-based simulation logic, and a distributed architecture to support geo-based lead routing across the UK, US, and Canada. As a result, the platform now processes over 146M leads, increases successful lead deliveries by 40%, and reduces testing time by 60%, while providing full operational visibility through a centralized admin panel.

Team structure

Client team

N/A's avatar

N/A

Product Owner

Project stakeholder

The client stakeholders were working closely with the team at Dataforest

Agency team

1 x Machine Learning Engineer's avatar

1 x Machine Learning Engineer

Production

3 x Data Engineer's avatar

3 x Data Engineer

Production

1 x Project Manager's avatar

1 x Project Manager

Production

1 x Business Analyst's avatar

1 x Business Analyst

Production

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