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MCAE (Pardot) Implementation for Recruitment Automation 

Implemented Salesforce MCAE to automate candidate engagement, improve recruitment workflows, and provide better visibility into applicant activity and performance.

Project Description

This project focused on implementing Salesforce Marketing Cloud Account Engagement (MCAE), formerly Pardot, to streamline and automate recruitment processes for a talent acquisition team. The objective was to reduce manual effort, improve candidate engagement, and provide better visibility into applicant activity throughout the hiring journey.

The implementation began with setting up tracking across the company’s website to capture visitor behaviour and understand candidate interactions. This provided valuable insight into how applicants engaged with job listings and content before applying.

Custom candidate intake forms were designed to capture relevant applicant information while maintaining data quality through validation rules. These forms were integrated with MCAE to trigger automated responses and categorise candidates into structured segments, ensuring consistent and timely communication.

To help recruiters prioritise effectively, scoring and grading models were introduced. Candidates were scored based on their engagement, such as page visits and email interactions, while grading helped assess how well they matched the required role and experience. This allowed the recruitment team to focus on high-intent and high-fit applicants.

Email templates and automated engagement journeys were created to nurture candidates through the application process. At the same time, domain authentication was configured to ensure reliable email delivery and maintain communication credibility.

The solution was fully integrated with Salesforce Sales Cloud, enabling two-way data sync and giving recruiters complete visibility into candidate activity directly within the CRM. This eliminated duplicate data entry and improved overall efficiency.

Overall, the implementation created a structured and scalable recruitment system, improved

Start Date / End Date

Start:

Monday, 1 July 2025

End:

Monday, 15 July 2025

Project Author

Gomathi Natarajan

Salesforce architect

Yokesh Mohanraj

Salesforce Developer

Contact Links

Find Out What to Expect

Why This Project Matters

The goal was to automate recruitment workflows, improve candidate engagement, and provide recruiters with better visibility into applicant activity and behaviour.

Tracking code was implemented across the website to monitor visitor activity, including page visits and interactions, helping the team understand candidate behaviour before and after application.

A combination of scoring and grading was used. Scoring measured engagement levels, while grading assessed how well candidates matched the required role and experience.

Automated email responses, segmentation, and engagement journeys were set up to ensure consistent communication and reduce manual follow-ups.

The system reduced manual screening effort, improved candidate engagement, and provided a single view of applicant activity within Salesforce, allowing recruiters to focus on the most relevant candidates.

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