Aries Leads vs Lusha: 2026 Comparison
Lusha is contact and direct-dial lookup, used mainly through a browser extension. Aries Leads runs the whole outbound sequence (sourcing, verification, enrichment, warm-up and sending) in one subscription from $59/month. This page compares the two on pricing model, workflow and the features that actually differ, including where Lusha is the better choice.
Credits per lookup against flat capacity
Lusha prices per credit, with each revealed contact consuming one. The model fits how it is used (a salesperson looking someone up while already on their profile) and it is easy to understand. It does mean cost scales directly with volume, and that bulk work is expensive by design.
Aries Leads charges flat, and Pro is uncapped, which suits list-based work rather than lookup-based work. The two are priced for genuinely different motions: paying per reveal is sensible for twenty targeted lookups a day and unworkable for building a list of five thousand.
Lookup against list building
Lusha is built for a moment: you are already looking at a person, you want their number, you click. The extension is quick, the direct-dial coverage is better than most, and for account executives doing research inside a browser it removes real friction. That is a legitimate and well-served use case.
Aries Leads is built for a different moment: you have a market, not a person, and you need a list. Extraction produces candidates in bulk, verification and enrichment make them usable, and sequences contact them. Neither approach substitutes for the other: a rep on a call needs a number now, and a campaign needs five thousand verified addresses.
Which one should you choose?
Choose Lusha if your team works account by account inside the browser and mostly needs phone numbers, especially direct dials. For that job the extension is fast and the coverage is competitive, and a credit model matches the usage honestly.
Choose Aries Leads if you build lists rather than look people up, if you need verification and sending alongside the data, or if per-credit pricing has stopped making sense at your volume. Many teams end up running both, and there is nothing wrong with that. They solve different problems.