How do their growth rates compare?

Leadbay has a month-over-month growth rate of -71.8%; Leadspicker has -23.8%.

How does pricing compare?

Leadbay: Freemium, Paid, Contact for Pricing, Free. Leadbay publishes a free tier (around 5 qualified leads per week, no credit card required), a More plan at about $100 per user per month for roughly 50 qualified leads weekly, a Much more plan around $400 per user per month for about 300 leads, and a custom enterprise tier with forward-deployed engineering support. Leadspicker: Free Trial, Paid. Free 7-day trial with no credit card, then paid plans billed per company. Explorer starts at €199/month, Growth at €479/month, and Scale at €1,599/month (yearly billing, save 20% monthly), plus custom Enterprise. Credits, seats, LinkedIn accounts, mailboxes, and routines scale by tier, and extra credit packs can be purchased or auto-topped-up.

What are alternatives to Leadbay and Leadspicker?

Other tools in related categories include Instantly, Clay, Smartlead, Success.ai, Reply.io.

Leadbay vs Leadspicker — Traffic (751 vs 19.74K), Pricing & Verdict

Open AI Tools

Leadbay vs Leadspicker — Traffic (751 vs 19.74K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Leadbay	Leadspicker
Official Domain	leadbay.ai	leadspicker.com
Pricing Model	Freemium, Paid, Contact for Pricing, Free	Free Trial, Paid
Monthly Visits	751 (751)	19.74K (19,742)
MoM Traffic Delta	-1.91K (-71.8%)	-6.16K (-23.8%)
Primary Market & Share	🇫🇷 France (100%)	🇨🇿 Czechia (65%)
Direct Visits / mo	304	8.77K
User Rating	4.1	4
Supported Platforms	Website	Website

Leadbay

AI-qualified B2B leads, delivered into your agents

Model trained on your won/lost deals

Upload historical outcomes and Leadbay extrapolates what your best customers look like, then hunts for lookalike accounts and contacts in under-served markets.

MCP workspace for AI agents

Qualification tools and a native UI component library run inside Claude, ChatGPT and Copilot, so assistants can find and rank leads in the tools your team already uses.

Self-improving qualification loop

Every like, dislike and outreach action feeds back into the model, so recommendations sharpen as your team uses it.

Contact data included

Qualified leads arrive with people, phone numbers and email addresses attached, reducing the enrichment step before outreach.