SaaSMarketingData Enrichment

B2B Data Enrichment Pipeline - ICP Scoring + CRM Hygiene Automation

Raw lead lists or inbound prospects flow into the enrichment pipeline. AI cross-references multiple data sources (LinkedIn, ZoomInfo, G2, tech signal APIs), maps findings into CRM fields, scores each record against your ICP (company size, industry, tech stack, intent signals), and automatically assigns high-fit leads to available SDRs with a warm briefing note.

AI operates via

CRM SyncEmail AutomationDocument Collection

Deploy This Template

How It Works

01
Inbound Lead Data Ingestion
New prospects from forms, lists, or API integrations arrive in CRM. AI extracts core data (email, company name, title) and flags enrichment-needed records for processing.
02
Multi-Source Enrichment Lookup
AI queries 12+ data APIs in parallel (ZoomInfo, Hunter.io, Apollo.io, LinkedIn, G2, tech signal platforms, company registries) to fill gaps: company size, annual revenue, employee count, industry, tech stack, growth signals.
03
Duplicate Detection & Merge
AI compares new enriched records against existing CRM database, identifies duplicates using fuzzy matching (similar company names, domains), and merges records while preserving interaction history.
04
ICP Scoring & Fit Calculation
AI evaluates each prospect against your 15-point ICP rubric: company size (weight 20%), industry vertical (20%), budget size (15%), tech stack compatibility (15%), growth signals (15%), intent indicators (15%). Assigns 0–100 fit score.
05
Smart Routing & SDR Assignment
Prospects scoring 75+ auto-assign to next available SDR with a briefing note ('High-fit: Tech stack shows Salesforce + HubSpot + Slack; 250–500 employees; Series B; 40% YoY growth'). Lower scores route to nurture email sequences instead.

See How It Works

The AI Employee executes each step autonomously - no human intervention required unless explicitly configured.

Inbound Lead Data Ingestion

Multi-Source Enrichment Lookup

Duplicate Detection & Merge

ICP Scoring & Fit Calculation

Smart Routing & SDR Assignment

Step 01

Inbound Lead Data Ingestion

New prospects from forms, lists, or API integrations arrive in CRM. AI extracts core data (email, company name, title) and flags enrichment-needed records for processing.

Step 02

Multi-Source Enrichment Lookup

AI queries 12+ data APIs in parallel (ZoomInfo, Hunter.io, Apollo.io, LinkedIn, G2, tech signal platforms, company registries) to fill gaps: company size, annual revenue, employee count, industry, tech stack, growth signals.

Step 03

Duplicate Detection & Merge

AI compares new enriched records against existing CRM database, identifies duplicates using fuzzy matching (similar company names, domains), and merges records while preserving interaction history.

Step 04

ICP Scoring & Fit Calculation

AI evaluates each prospect against your 15-point ICP rubric: company size (weight 20%), industry vertical (20%), budget size (15%), tech stack compatibility (15%), growth signals (15%), intent indicators (15%). Assigns 0–100 fit score.

Step 05

Smart Routing & SDR Assignment

Prospects scoring 75+ auto-assign to next available SDR with a briefing note ('High-fit: Tech stack shows Salesforce + HubSpot + Slack; 250–500 employees; Series B; 40% YoY growth'). Lower scores route to nurture email sequences instead.

Key Results

94%

Data Completion Rate

1,240

ICP-Fit Leads Identified Monthly

+185%

SDR Pipeline Efficiency Gain

Frequently Asked Questions

How accurate is enrichment data from third-party APIs?

Typically 85–92% accurate for firmographic data (company size, revenue) and 70–80% for technographic (exact tool list). AI cross-validates across 3+ sources before marking high-confidence, flags uncertain fields for manual review.

What happens if enrichment data conflicts across sources?

AI weights sources by reliability (ZoomInfo and LinkedIn top-tier; smaller APIs lower). When conflicts exist, it uses the highest-confidence source and flags the discrepancy as a note for the SDR.

Is enrichment GDPR-compliant?

Yes. The pipeline enriches only prospects who have already opted in or whose contact you sourced legitimately. It does not store or process personal data beyond what's necessary for lead qualification.

Can I customise the ICP scoring formula?

Absolutely. You define the weights and thresholds. Example: 'Tech companies in UK only, £5M–50M ARR, must use Salesforce, <30% churn signals'. The AI applies your custom rubric.

How long does enrichment take per lead?

2–8 seconds depending on data source responsiveness. Batch enrichment of 1000 leads typically completes in 15–30 minutes.