Inbound Lead Processing and Enrichment Automation
Global Technology Platform (Anonymised) · 2025, part of the paid media engagement
Built by Jakub in 2025 as part of the same freelance engagement as the paid media result, before he founded AfM in August 2025.
Leads Processed in the Peak Quarter
Response Time (Was 1-3+ Days)
Pipeline Stages Automated
Result proof path
Outcome
1,600+ leads processed in the peak quarter, with same-day follow-up.
Mechanism
Webhook capture, Relevance AI enrichment, CRM field mapping, duplicate detection, and priority routing.
Proof
Follow-up time cut from 1 to 3+ days to the same day, as recorded in the engagement notes.
The Situation
This is the same global technology platform as the paid media engagement. When Meta launched in Q3 2025 and lead volume rose from a handful a week to dozens a day, a new bottleneck appeared. Handling inbound leads by hand could not keep up. Each lead from a Meta or LinkedIn form had to be exported from the ad platform, researched by the team, enriched with company and role information, and entered into the CRM with all its fields. With dozens arriving daily, leads were waiting 1 to 3 or more days before anyone followed up, in a programme where competing offers were a click away. Enrichment was inconsistent because different team members applied different research standards: some leads entered the CRM with full profiles, others with only a name and email. CRM data quality had slipped to the point where pipeline reports were hard to trust. The campaigns were producing leads faster than the team could process them, and the team needed processing that kept pace with lead generation.
The Challenge
Response Time Degradation
As lead volume rose from single digits a week to dozens a day, manual processing stretched follow-up from the same day to 1 to 3 or more days. Prospects were weighing other programmes at the same time, so every day of delay made them harder to win.
Inconsistent Enrichment Quality
Different team members applied different research standards when enriching leads by hand. Some contacts entered the CRM with company data, role context, and a programme-fit assessment; others had only a name and email, which made it hard for the sales team to prioritise or personalise outreach.
CRM Data Integrity
Manual entry introduced formatting inconsistencies, duplicate records, missing fields, and non-standard job titles. Pipeline reports became unreliable because the underlying data could not be trusted.
Operational Scalability
A process that worked at 10 leads a week could not be sustained at dozens a day. Hiring people just to process leads would have been expensive and slow, and the team needed something that scaled with the paid media output.
What Was Built
Jakub built a real-time inbound lead processing system that removes the manual steps between form submission and sales follow-up. When a prospect submits a form on Meta, a webhook fires and processing begins. A custom Relevance AI enrichment agent receives the raw lead data, researches the prospect's company, checks the contact information, assesses fit for the creator network programme from their professional profile, and builds a standardised lead record. That record is pushed into the CRM with the same field mapping every time, which removes the formatting inconsistencies of manual entry. Duplicate detection runs against existing CRM records first. Leads that best match the ideal profile trigger an immediate notification to the sales team for same-day follow-up. Leads that cannot be enriched with confidence are flagged for manual review. The process from form submission to CRM record takes minutes rather than days, and it handled 1,600+ leads in the peak quarter.
Step 1
Webhook Capture
A real-time trigger fires when a lead submits a form on Meta, capturing all form fields. There is no wait for manual CSV exports or scheduled syncs: raw lead data enters the pipeline within seconds of submission.
Step 2
AI Enrichment Agent
A custom Relevance AI agent receives the raw lead data and researches it: checking contact information, looking up the prospect's company and size, identifying their role and seniority, assessing programme fit against defined criteria, and assembling a standardised lead profile.
Step 3
CRM Integration
Enriched leads are pushed into the CRM with field mapping that gives every record the same structure. Duplicate detection checks existing records by email, company name, and contact name before creating new entries.
Step 4
Routing and Notification
Leads matching the highest-priority profiles trigger an immediate notification to the relevant sales team member, with the full enriched profile attached so the rep can respond without further research. Lower-priority leads are queued for batch follow-up.
The Results
1-3+ Days
Old Response Time
Manual export from ad platforms, individual research, and hand-entered CRM records
Same Day
New Response Time
Automated pipeline from form submission to enriched CRM record in minutes
1,600+
Leads in Peak Quarter
Peak quarterly volume handled by the automated pipeline
How It Works Day-to-Day
The system runs whenever a lead arrives. Each time a prospect submits a form through a Meta or LinkedIn ad, the webhook fires and processing begins. The enrichment agent handles each lead individually, and enriched records appear in the CRM within minutes. The sales team's day changed: instead of spending mornings exporting and researching leads, they started with enriched, prioritised contacts ready for outreach. Priority notifications alert specific team members when a strong lead comes in, so they can respond the same day. Leads the agent cannot enrich with confidence, usually because the source form was incomplete, are flagged for manual review rather than pushed into the CRM half-finished.
What This Demonstrates
This system complemented the paid media engagement (97% lower cost per lead over about 11 months, $110K+ managed). Together they formed one pipeline: the campaigns generated leads, and this system made them ready for follow-up.
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Frequently Asked Questions
How does the system handle leads with incomplete form data?
The enrichment agent is designed to work from minimal input. If a lead submits only a name and email, the agent researches their company and role to build the profile. Leads where enrichment cannot reach a confidence threshold are flagged for manual review rather than pushed to the CRM incomplete.
What happens during high-volume periods when many leads arrive at once?
Each lead is processed as its webhook arrives, so several leads can be enriched in parallel rather than waiting for a manual export. The 1,600+ leads of the peak quarter went through this pipeline.
Can this system be adapted for different ad platforms beyond Meta?
Yes. The webhook capture layer is not tied to one platform: anything that can send a webhook or API call can trigger the enrichment pipeline. LinkedIn Lead Gen Forms, Google Ads lead forms, and website forms can all feed into it with small configuration changes.
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