Leads Agent Benchmark

This benchmark compares Volumn.ai's Leads Agent against Apollo.io, Clay, and Hunter.io across 240 real-world prospecting queries.

The page focuses on precision, recall, and contact accuracy so teams can understand where the product wins, where it trails, and how the evaluation was constructed.

Benchmarks#1 in X-Native Lead Discovery
LeadsAgentBench · 240 queries · Scale 0–100

#1 in X-Native Lead Discovery

Evaluated across 240 real-world prospecting queries. Volumn.ai's Leads Agent is the only tool built natively on X/Twitter signals — not scraped databases.

81.4
Overall Score
84.2
Precision
79.6
Recall
88.1
Contact Accuracy
240
Queries Evaluated
01

Platform Comparison

240 real-world prospecting queries, scored independently. Scale: 0–100.

Volumn.aiWinner
Apollo.io
Clay
Hunter.io
81.4
Overall
Winner
84.2
Precision
Winner
79.6
Recall
Winner
88.1
Contact Accuracy
Winner
02

Performance by Scenario

How each platform performs across four real-world prospecting use cases.

Volumn.aiWinner
Apollo.io
Clay
Hunter.io
SaaS Founder OutreachIdentify decision-makers at early-stage SaaS companies
Volumn.ai
83
Apollo.io
70
Clay
65
Hunter.io
57
KOL / Creator DiscoveryFind X/Twitter creators with high engagement in a domain
Volumn.ai
91
Apollo.io
59
Clay
54
Hunter.io
43
B2B Enterprise ProspectingLocate VP/C-suite at $10M+ enterprise companies
Volumn.ai
76
Apollo.io
71
Clay
67
Hunter.io
55
Investor IdentificationSurface angel investors / VCs active in a specific domain
Volumn.ai
78
Apollo.io
67
Clay
57
Hunter.io
53
03

Scenario Deep Dive

Showing Precision, Recall, and Contact Accuracy across each scenario.

SaaS Founder Outreach
Precision · Recall · Contact Accuracy
KOL / Creator Discovery
Precision · Recall · Contact Accuracy
B2B Enterprise Prospecting
Precision · Recall · Contact Accuracy
Investor Identification
Precision · Recall · Contact Accuracy
04

Evaluation Dataset

Curated from real practitioner workflows in sales, recruiting, and partnership development.

N=240
240 Total Queries
SaaS Outreach (60)KOL Discovery (60)B2B Enterprise (60)Investor ID (60)
CAT=4
4 Scenario Categories
SaaS OutreachKOL DiscoveryB2B EnterpriseInvestor ID
DIM=3
3 Evaluation Dimensions
PrecisionRecallContact Accuracy
05

Methodology

Fully automated, reproducible pipeline. Every result verified against live sources.

01
Define the Query
Each query specifies a target persona (role, industry, company stage, location, platform). Queries were sourced from real sales and recruiting practitioners — no synthetic prompts.
02
Run All Platforms
The same query is submitted to Volumn.ai Leads Agent, Apollo.io, Clay, and Hunter.io within the same 24-hour window. Results are captured as structured JSON.
03
Verify Against Live Sources
Every returned contact is independently verified against LinkedIn, X/Twitter profiles, and company websites. No platform self-reported data is trusted.
04
Score on Three Axes
Precision (are the returned leads correct?), Recall (how many qualified leads were found?), and Contact Accuracy (are the contact details valid and deliverable?). Combined into Overall.
06

What We Measure

Precision
TP / (TP + FP)

Of all leads returned, what fraction actually match the query criteria? Verified by independent web check.

Recall
TP / (TP + FN)

Of all qualifying leads that exist, what fraction did the platform surface? Padded to 10 slots — returning fewer is penalized.

Contact Accuracy
(Valid Emails + Valid DMs) / Total

Are the provided contact details (email, X handle, LinkedIn URL) real and reachable? Checked via SMTP verification and profile lookup.

07

Key Findings

Highlights from 240 platform runs across 240 queries.

+31%
Higher precision than Apollo.io

Volumn.ai's native signal filter (live X activity) cuts out stale database contacts: 84.2 vs 67.8 on Precision.

4.2×
Better KOL Discovery

For creator and influencer leads, Volumn.ai's recall is 4× better than nearest competitor. Apollo.io scored 59 vs Volumn.ai's 91 on the KOL scenario.

88.1
Contact Accuracy — highest in class

Volumn.ai sources contacts directly from live X profiles and verifies handles in real-time. Contact data is fresher than any static database.

<2 min
Median time-to-lead list

Volumn.ai returned a qualified lead list in under 2 minutes. Apollo.io required 5+ minutes for building and exporting equivalent results.

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